{ "repos": [ { "id": 1, "url": "https://github.com/jackfrued/Python-100-Days", "description": "Python - 100\u5929\u4ece\u65b0\u624b\u5230\u5927\u5e08", "stars": 144946, "source_graph_repo_id": 36242529, "dependencies": [ { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 53, "name": "PyPDF2" }, { "id": 56, "name": "redis" }, { "id": 82, "name": "PIL" }, { "id": 161, "name": "matplotlib" }, { "id": 348, "name": "django" }, { "id": 643, "name": "Crypto" }, { "id": 734, "name": "pymysql" }, { "id": 796, "name": "pygame" }, { "id": 876, "name": "pyperclip" }, { "id": 1068, "name": "docx" }, { "id": 1755, "name": "openpyxl" }, { "id": 2210, "name": "first" } ], "last_checked_revision": "28bfaa3d0368d711d3ba4b5e6897b1838ba4d7e9\n" }, { "id": 2, "url": "https://github.com/AUTOMATIC1111/stable-diffusion-webui", "description": "Stable Diffusion web UI", "stars": 116008, "source_graph_repo_id": 58907112, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 93, "name": "gfpgan" }, { "id": 94, "name": "clip" }, { "id": 95, "name": "blendmodes" }, { "id": 96, "name": "rich" }, { "id": 97, "name": "omegaconf" }, { "id": 98, "name": "pytz" }, { "id": 99, "name": "facexlib" }, { "id": 100, "name": "ui_extra_networks_lora" }, { "id": 101, "name": "scunet_model_arch" }, { "id": 102, "name": "sd_hijack_ddpm_v1" }, { "id": 103, "name": "tomesd" }, { "id": 104, "name": "ldsr_model_arch" }, { "id": 105, "name": "timm" }, { "id": 106, "name": "anyio" }, { "id": 107, "name": "ldm" }, { "id": 108, "name": "inflection" }, { "id": 109, "name": "extra_networks_lora" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 112, "name": "networks" }, { "id": 113, "name": "facelib" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 116, "name": "swinir_model_arch" }, { "id": 117, "name": "network" }, { "id": 118, "name": "gradio" }, { "id": 119, "name": "basicsr" }, { "id": 120, "name": "sgm" }, { "id": 121, "name": "lark" }, { "id": 122, "name": "psutil" }, { "id": 123, "name": "piexif" }, { "id": 124, "name": "git" }, { "id": 125, "name": "lora" }, { "id": 126, "name": "_codecs" }, { "id": 127, "name": "tqdm" }, { "id": 128, "name": "k_diffusion" }, { "id": 129, "name": "skimage" }, { "id": 130, "name": "safetensors" }, { "id": 131, "name": "torchsde" }, { "id": 132, "name": "swinir_model_arch_v2" }, { "id": 133, "name": "sd_hijack_autoencoder" }, { "id": 134, "name": "realesrgan" }, { "id": 135, "name": "pkg_resources" }, { "id": 136, "name": "open_clip" }, { "id": 532, "name": "intel_extension_for_pytorch" }, { "id": 4440, "name": "lora_patches" }, { "id": 5617, "name": "hypertile" } ], "last_checked_revision": "cf2772fab0af5573da775e7437e6acdca424f26e\n" }, { "id": 3, "url": "https://github.com/521xueweihan/HelloGitHub", "description": ":octocat: \u5206\u4eab GitHub \u4e0a\u6709\u8da3\u3001\u5165\u95e8\u7ea7\u7684\u5f00\u6e90\u9879\u76ee\u3002Share interesting, entry-level open source projects on GitHub.", "stars": 80436, "source_graph_repo_id": 195830, "dependencies": [ { "id": 1, "name": "" }, { "id": 19, "name": "requests" } ], "last_checked_revision": "ce10e37e50957849e25da9a4441cd22590f94d61\n" }, { "id": 4, "url": "https://github.com/tiangolo/fastapi", "description": "FastAPI framework, high performance, easy to learn, fast to code, ready for production", "stars": 66516, "source_graph_repo_id": 37328078, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 106, "name": "anyio" }, { "id": 251, "name": "playwright" }, { "id": 292, "name": "flask" }, { "id": 399, "name": "orjson" }, { "id": 538, "name": "pydantic_settings" }, { "id": 539, "name": "pydantic_core" }, { "id": 540, "name": "material" }, { "id": 541, "name": "strawberry" }, { "id": 542, "name": "multipart" }, { "id": 543, "name": "peewee" }, { "id": 544, "name": "email_validator" }, { "id": 545, "name": "couchbase" }, { "id": 546, "name": "mkdocs" }, { "id": 547, "name": "databases" }, { "id": 548, "name": "markupsafe" }, { "id": 549, "name": "dirty_equals" } ], "last_checked_revision": "040ad986d48bb9a400de804f7f25abb856d85e1a\n" }, { "id": 5, "url": "https://github.com/langchain-ai/langchain", "description": "\u26a1 Building applications with LLMs through composability \u26a1", "stars": 72687, "source_graph_repo_id": 59434845, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 41, "name": "docx2txt" }, { "id": 42, "name": "weaviate" }, { "id": 43, "name": "pinecone" }, { "id": 44, "name": "chromadb" }, { "id": 46, "name": "azure" }, { "id": 47, "name": "tenacity" }, { "id": 48, "name": "supabase" }, { "id": 49, "name": "grpc" }, { "id": 50, "name": "tiktoken" }, { "id": 51, "name": "qdrant_client" }, { "id": 53, "name": "PyPDF2" }, { "id": 56, "name": "redis" }, { "id": 58, "name": "pymilvus" }, { "id": 59, "name": "elasticsearch" }, { "id": 60, "name": "psycopg2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 85, "name": "tritonclient" }, { "id": 87, "name": "tokenizers" }, { "id": 88, "name": "pexpect" }, { "id": 92, "name": "pymongo" }, { "id": 98, "name": "pytz" }, { "id": 106, "name": "anyio" }, { "id": 115, "name": "packaging" }, { "id": 121, "name": "lark" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 212, "name": "duckduckgo_search" }, { "id": 216, "name": "newspaper" }, { "id": 218, "name": "lxml" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 225, "name": "google_auth_oauthlib" }, { "id": 226, "name": "googleapiclient" }, { "id": 227, "name": "websocket" }, { "id": 237, "name": "polars" }, { "id": 243, "name": "html2text" }, { "id": 246, "name": "sentence_transformers" }, { "id": 250, "name": "praw" }, { "id": 251, "name": "playwright" }, { "id": 255, "name": "spacy" }, { "id": 258, "name": "youtube_transcript_api" }, { "id": 260, "name": "IPython" }, { "id": 272, "name": "bson" }, { "id": 290, "name": "requests_mock" }, { "id": 313, "name": "mypy_extensions" }, { "id": 322, "name": "py" }, { "id": 351, "name": "sphinx" }, { "id": 362, "name": "geopandas" }, { "id": 373, "name": "tests" }, { "id": 410, "name": "selenium" }, { "id": 418, "name": "joblib" }, { "id": 424, "name": "aim" }, { "id": 430, "name": "urllib3" }, { "id": 431, "name": "comet_ml" }, { "id": 447, "name": "svglib" }, { "id": 450, "name": "reportlab" }, { "id": 479, "name": "regex" }, { "id": 509, "name": "docutils" }, { "id": 520, "name": "nomic" }, { "id": 528, "name": "docarray" }, { "id": 545, "name": "couchbase" }, { "id": 554, "name": "vertexai" }, { "id": 556, "name": "anthropic" }, { "id": 559, "name": "markdownify" }, { "id": 609, "name": "rank_bm25" }, { "id": 611, "name": "fitz" }, { "id": 612, "name": "pytesseract" }, { "id": 620, "name": "networkx" }, { "id": 621, "name": "elastic_transport" }, { "id": 628, "name": "magic" }, { "id": 631, "name": "responses" }, { "id": 633, "name": "rapidfuzz" }, { "id": 636, "name": "opensearchpy" }, { "id": 638, "name": "pygraphviz" }, { "id": 691, "name": "pdfplumber" }, { "id": 695, "name": "tensorflow_text" }, { "id": 698, "name": "pydub" }, { "id": 709, "name": "baidubce" }, { "id": 722, "name": "pdf2image" }, { "id": 734, "name": "pymysql" }, { "id": 754, "name": "librosa" }, { "id": 802, "name": "xmltodict" }, { "id": 812, "name": "faker" }, { "id": 819, "name": "pyspark" }, { "id": 896, "name": "llama_cpp" }, { "id": 900, "name": "InstructorEmbedding" }, { "id": 903, "name": "cohere" }, { "id": 932, "name": "tomli" }, { "id": 936, "name": "toml" }, { "id": 946, "name": "pytest_mock" }, { "id": 953, "name": "freezegun" }, { "id": 1007, "name": "motor" }, { "id": 1045, "name": "chardet" }, { "id": 1059, "name": "decouple" }, { "id": 1065, "name": "async_timeout" }, { "id": 1069, "name": "gptcache" }, { "id": 1072, "name": "unstructured" }, { "id": 1074, "name": "duckdb" }, { "id": 1128, "name": "cassandra" }, { "id": 1132, "name": "snowflake" }, { "id": 1330, "name": "dbruntime" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1431, "name": "vcr" }, { "id": 1451, "name": "langchain_experimental" }, { "id": 1471, "name": "rapidocr_onnxruntime" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1493, "name": "psycopg" }, { "id": 1516, "name": "flytekitplugins" }, { "id": 1520, "name": "flytekit" }, { "id": 1549, "name": "tomlkit" }, { "id": 1620, "name": "pypdfium2" }, { "id": 1622, "name": "clearml" }, { "id": 1694, "name": "datadog_api_client" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 1730, "name": "firebase_admin" }, { "id": 1736, "name": "pytube" }, { "id": 1762, "name": "tweepy" }, { "id": 1763, "name": "xlrd" }, { "id": 1913, "name": "numexpr" }, { "id": 1915, "name": "jsonpatch" }, { "id": 1990, "name": "textstat" }, { "id": 2002, "name": "databricks" }, { "id": 2026, "name": "sympy" }, { "id": 2095, "name": "fake_useragent" }, { "id": 2331, "name": "pypdf" }, { "id": 2335, "name": "feedparser" }, { "id": 2437, "name": "azureml" }, { "id": 2550, "name": "msal" }, { "id": 2556, "name": "atlassian" }, { "id": 2720, "name": "deeplake" }, { "id": 2790, "name": "yfinance" }, { "id": 2836, "name": "whylogs" }, { "id": 2939, "name": "pdfminer" }, { "id": 3055, "name": "label_studio_sdk" }, { "id": 3075, "name": "qcloud_cos" }, { "id": 3151, "name": "manifest" }, { "id": 3189, "name": "syrupy" }, { "id": 3285, "name": "apify_client" }, { "id": 3322, "name": "airbyte_cdk" }, { "id": 3399, "name": "modelscope" }, { "id": 3449, "name": "odps" }, { "id": 3477, "name": "neo4j" }, { "id": 3523, "name": "meilisearch" }, { "id": 3615, "name": "gql" }, { "id": 3685, "name": "argilla" }, { "id": 3710, "name": "mwparserfromhell" }, { "id": 3712, "name": "text_generation" }, { "id": 3725, "name": "mwxml" }, { "id": 3927, "name": "marqo" }, { "id": 3929, "name": "yt_dlp" }, { "id": 3948, "name": "alibabacloud_ha3engine" }, { "id": 3976, "name": "xorbits" }, { "id": 3977, "name": "pydantic_v1" }, { "id": 3978, "name": "fauna" }, { "id": 3979, "name": "bilibili_api" }, { "id": 3980, "name": "clickhouse_connect" }, { "id": 3981, "name": "clarifai_grpc" }, { "id": 3982, "name": "pipeline" }, { "id": 3983, "name": "vespa" }, { "id": 3984, "name": "guardrails" }, { "id": 3985, "name": "getcontext" }, { "id": 3986, "name": "steamship" }, { "id": 3987, "name": "esprima" }, { "id": 3988, "name": "jsonformer" }, { "id": 3989, "name": "awadb" }, { "id": 3990, "name": "pyairtable" }, { "id": 3991, "name": "infinopy" }, { "id": 3992, "name": "momento" }, { "id": 3993, "name": "lancedb" }, { "id": 3994, "name": "zep_python" }, { "id": 3995, "name": "wolframalpha" }, { "id": 3996, "name": "listparser" }, { "id": 3997, "name": "langsmith" }, { "id": 3998, "name": "arize" }, { "id": 3999, "name": "bagel" }, { "id": 4000, "name": "dashscope" }, { "id": 4001, "name": "pinecone_text" }, { "id": 4002, "name": "bibtexparser" }, { "id": 4003, "name": "tigrisdb" }, { "id": 4004, "name": "pytest_socket" }, { "id": 4005, "name": "arcgis" }, { "id": 4006, "name": "psychicapi" }, { "id": 4007, "name": "alibabacloud_tea_util" }, { "id": 4008, "name": "arango" }, { "id": 4009, "name": "telethon" }, { "id": 4010, "name": "promptlayer" }, { "id": 4011, "name": "extract_msg" }, { "id": 4012, "name": "googlemaps" }, { "id": 4013, "name": "doctran" }, { "id": 4014, "name": "dingodb" }, { "id": 4015, "name": "cassio" }, { "id": 4016, "name": "arthurai" }, { "id": 4017, "name": "cerebrium" }, { "id": 4018, "name": "metal_sdk" }, { "id": 4019, "name": "rellm" }, { "id": 4020, "name": "openapi_schema_pydantic" }, { "id": 4021, "name": "banana_dev" }, { "id": 4022, "name": "aleph_alpha_client" }, { "id": 4023, "name": "kuzu" }, { "id": 4024, "name": "obs" }, { "id": 4025, "name": "nucliadb_protos" }, { "id": 4026, "name": "jq" }, { "id": 4027, "name": "pysrt" }, { "id": 4028, "name": "sodapy" }, { "id": 4029, "name": "xinference" }, { "id": 4030, "name": "pyowm" }, { "id": 4031, "name": "rdflib" }, { "id": 4032, "name": "singlestoredb" }, { "id": 4033, "name": "runhouse" }, { "id": 4034, "name": "youtube_search" }, { "id": 4035, "name": "baseten" }, { "id": 4036, "name": "langkit" }, { "id": 4037, "name": "multion" }, { "id": 4038, "name": "amadeus" }, { "id": 4039, "name": "nebula3" }, { "id": 4040, "name": "xoscar" }, { "id": 4041, "name": "rockset" }, { "id": 4042, "name": "cnosdb_connector" }, { "id": 4043, "name": "O365" }, { "id": 4044, "name": "textractcaller" }, { "id": 4045, "name": "octoai" }, { "id": 4159, "name": "elevenlabs" }, { "id": 4331, "name": "langchainhub" }, { "id": 4344, "name": "e2b" }, { "id": 4376, "name": "ain" }, { "id": 4377, "name": "pyepsilla" }, { "id": 4437, "name": "presidio_anonymizer" }, { "id": 4438, "name": "presidio_analyzer" }, { "id": 4456, "name": "sqlite_vss" }, { "id": 4539, "name": "fuzzysearch" }, { "id": 4584, "name": "nuclia" }, { "id": 4585, "name": "qianfan" }, { "id": 4586, "name": "deepeval" }, { "id": 4587, "name": "nucliadb_models" }, { "id": 4625, "name": "timescale_vector" }, { "id": 4626, "name": "vearch_cluster" }, { "id": 4627, "name": "javelin_sdk" }, { "id": 4645, "name": "gradientai" }, { "id": 4677, "name": "tavily" }, { "id": 4678, "name": "volcengine" }, { "id": 4700, "name": "____project_name_identifier" }, { "id": 4701, "name": "trubrics" }, { "id": 4702, "name": "dynamodb_encryption_sdk" }, { "id": 4703, "name": "langserve" }, { "id": 4741, "name": "vowpal_wabbit_next" }, { "id": 4776, "name": "rspace_client" }, { "id": 4777, "name": "speechkit" }, { "id": 4778, "name": "baidu_bos_file" }, { "id": 4779, "name": "upstash_redis" }, { "id": 4780, "name": "alibabacloud_ha3engine_vector" }, { "id": 4781, "name": "simsimd" }, { "id": 4830, "name": "rag_weaviate" }, { "id": 4831, "name": "rag_chroma_private" }, { "id": 4832, "name": "neo4j_parent" }, { "id": 4833, "name": "sql_llama2" }, { "id": 4834, "name": "llmonitor" }, { "id": 4835, "name": "rag_semi_structured" }, { "id": 4836, "name": "langchain_cli" }, { "id": 4837, "name": "llama2_functions" }, { "id": 4838, "name": "rag_pinecone" }, { "id": 4839, "name": "neo4j_cypher_ft" }, { "id": 4840, "name": "openapi_pydantic" }, { "id": 4841, "name": "rag_aws_bedrock" }, { "id": 4842, "name": "openai_functions_agent" }, { "id": 4843, "name": "neo4j_cypher" }, { "id": 4844, "name": "nlu" }, { "id": 4845, "name": "xml_agent" }, { "id": 4846, "name": "rag_pinecone_rerank" }, { "id": 4847, "name": "anthropic_functions" }, { "id": 4848, "name": "sql_ollama" }, { "id": 4849, "name": "neo4j_generation" }, { "id": 4850, "name": "summarize_anthropic" }, { "id": 4851, "name": "rag_redis" }, { "id": 4852, "name": "rag_pinecone_multi_query" }, { "id": 4853, "name": "hyde" }, { "id": 4854, "name": "rag_elasticsearch" }, { "id": 4855, "name": "rag_conversation" }, { "id": 4856, "name": "extraction_openai_functions" }, { "id": 4857, "name": "sql_llamacpp" }, { "id": 4858, "name": "rag_chroma" }, { "id": 4905, "name": "extraction_anthropic_functions" }, { "id": 4925, "name": "rag_mongo" }, { "id": 4926, "name": "rag_codellama_fireworks" }, { "id": 4927, "name": "chat_bot_feedback" }, { "id": 4928, "name": "textractor" }, { "id": 4929, "name": "lmformatenforcer" }, { "id": 4930, "name": "rag_matching_engine" }, { "id": 4931, "name": "quip_api" }, { "id": 4932, "name": "plate_chain" }, { "id": 4933, "name": "transwarp_hippo_api" }, { "id": 4934, "name": "rag_timescale_hybrid_search_time" }, { "id": 4942, "name": "solo_performance_prompting_agent" }, { "id": 4963, "name": "__module_name__" }, { "id": 4964, "name": "self_query_qdrant" }, { "id": 4965, "name": "csv_agent" }, { "id": 4966, "name": "neo4j_advanced_rag" }, { "id": 4967, "name": "rag_momento_vector_index" }, { "id": 4968, "name": "elastic_query_generator" }, { "id": 4969, "name": "rag_conversation_zep" }, { "id": 4970, "name": "hybrid_search_weaviate" }, { "id": 4971, "name": "rag_singlestoredb" }, { "id": 4975, "name": "mongo_parent_document_retrieval" }, { "id": 5051, "name": "neo4j_vector_memory" }, { "id": 5052, "name": "neo4j_cypher_memory" }, { "id": 5053, "name": "astrapy" }, { "id": 5054, "name": "rag_vectara" }, { "id": 5068, "name": "openai_functions_tool_retrieval_agent" }, { "id": 5069, "name": "pirate_speak_configurable" }, { "id": 5070, "name": "basic_critique_revise" }, { "id": 5071, "name": "rag_vectara_multiquery" }, { "id": 5079, "name": "rag_timescale_conversation" }, { "id": 5112, "name": "rag_self_query" }, { "id": 5113, "name": "research_assistant" }, { "id": 5120, "name": "sql_pgvector" }, { "id": 5121, "name": "retrieval_agent" }, { "id": 5196, "name": "chain_of_note_wiki" }, { "id": 5201, "name": "rag_multi_index_fusion" }, { "id": 5202, "name": "rag_multi_index_router" }, { "id": 5225, "name": "embedchain" }, { "id": 5226, "name": "langchain_core" }, { "id": 5233, "name": "rag_gpt_crawler" }, { "id": 5264, "name": "rag_opensearch" }, { "id": 5265, "name": "skeleton_of_thought" }, { "id": 5271, "name": "dgml_utils" }, { "id": 5272, "name": "rag_google_cloud_sensitive_data_protection" }, { "id": 5296, "name": "stackapi" }, { "id": 5314, "name": "rag_ollama_multi_query" }, { "id": 5315, "name": "ibm_watson_machine_learning" }, { "id": 5319, "name": "hologres_vector" }, { "id": 5322, "name": "steamspypi" }, { "id": 5323, "name": "rag_chroma_multi_modal" }, { "id": 5324, "name": "comet_llm" }, { "id": 5325, "name": "rag_google_cloud_vertexai_search" }, { "id": 5568, "name": "langchain_community" }, { "id": 5585, "name": "langchain_google_genai" }, { "id": 5592, "name": "rag_gemini_multi_modal" }, { "id": 5593, "name": "rag_chroma_multi_modal_multi_vector" }, { "id": 5594, "name": "langchain_nvidia_aiplay" }, { "id": 5595, "name": "rag_chroma_dense_retrieval" }, { "id": 5613, "name": "langchain_nvidia_ai_endpoints" }, { "id": 5614, "name": "propositional_retrieval" }, { "id": 5623, "name": "sql_research_assistant" }, { "id": 5664, "name": "langchain_mistralai" }, { "id": 5665, "name": "mistralai" }, { "id": 5666, "name": "langchain_nvidia_trt" }, { "id": 5667, "name": "jaguardb_http_client" }, { "id": 5671, "name": "rag_multi_modal_local" }, { "id": 5672, "name": "langchain_together" }, { "id": 5673, "name": "langchain_anthropic" }, { "id": 5674, "name": "rag_multi_modal_mv_local" }, { "id": 5675, "name": "ads" }, { "id": 5676, "name": "together" }, { "id": 5685, "name": "grandalf" }, { "id": 5745, "name": "ibm_watsonx_ai" }, { "id": 5746, "name": "python_lint" } ], "last_checked_revision": "93e924ec96c6adcbc4c25be8554f2f57d19f630d\n" }, { "id": 6, "url": "https://github.com/nomic-ai/gpt4all", "description": "gpt4all: open-source LLM chatbots that you can run anywhere", "stars": 58818, "source_graph_repo_id": 60700813, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 74, "name": "sentry_sdk" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 154, "name": "datasets" }, { "id": 161, "name": "matplotlib" }, { "id": 178, "name": "peft" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 189, "name": "accelerate" }, { "id": 261, "name": "pyarrow" }, { "id": 419, "name": "torchmetrics" }, { "id": 430, "name": "urllib3" }, { "id": 517, "name": "api_v1" }, { "id": 518, "name": "gpt4all" }, { "id": 519, "name": "sentencepiece" }, { "id": 520, "name": "nomic" }, { "id": 521, "name": "jsonlines" }, { "id": 4742, "name": "gguf" } ], "last_checked_revision": "c72c73a94fcf653ecf0c8969a88068dd0e0d416f\n" }, { "id": 7, "url": "https://github.com/binary-husky/gpt_academic", "description": "\u4e3aChatGPT/GLM\u63d0\u4f9b\u5b9e\u7528\u5316\u4ea4\u4e92\u754c\u9762\uff0c\u7279\u522b\u4f18\u5316\u8bba\u6587\u9605\u8bfb/\u6da6\u8272/\u5199\u4f5c\u4f53\u9a8c\uff0c\u6a21\u5757\u5316\u8bbe\u8ba1\uff0c\u652f\u6301\u81ea\u5b9a\u4e49\u5feb\u6377\u6309\u94ae&\u51fd\u6570\u63d2\u4ef6\uff0c\u652f\u6301Python\u548cC++\u7b49\u9879\u76ee\u5256\u6790&\u81ea\u8bd1\u89e3\u529f\u80fd\uff0cPDF/LaTex\u8bba\u6587\u7ffb\u8bd1&\u603b\u7ed3\u529f\u80fd\uff0c\u652f\u6301\u5e76\u884c\u95ee\u8be2\u591a\u79cdLLM\u6a21\u578b\uff0c\u652f\u6301chatglm2\u7b49\u672c\u5730\u6a21\u578b\u3002\u517c\u5bb9\u6587\u5fc3\u4e00\u8a00, moss, llama2, rwkv, claude2, \u901a\u4e49\u5343\u95ee, \u4e66\u751f, \u8baf\u98de\u661f\u706b\u7b49\u3002", "stars": 50028, "source_graph_repo_id": 60645981, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 30, "name": "certifi" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 53, "name": "PyPDF2" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 200, "name": "models" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 227, "name": "websocket" }, { "id": 410, "name": "selenium" }, { "id": 452, "name": "onnxruntime" }, { "id": 519, "name": "sentencepiece" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 556, "name": "anthropic" }, { "id": 562, "name": "gym" }, { "id": 574, "name": "websockets" }, { "id": 611, "name": "fitz" }, { "id": 690, "name": "markdown" }, { "id": 778, "name": "docker" }, { "id": 1004, "name": "colorama" }, { "id": 1068, "name": "docx" }, { "id": 1392, "name": "moviepy" }, { "id": 1483, "name": "win32com" }, { "id": 1839, "name": "webrtcvad" }, { "id": 1954, "name": "aliyunsdkcore" }, { "id": 2047, "name": "stable_baselines3" }, { "id": 2939, "name": "pdfminer" }, { "id": 3197, "name": "py7zr" }, { "id": 3399, "name": "modelscope" }, { "id": 4000, "name": "dashscope" }, { "id": 4068, "name": "arxiv" }, { "id": 4168, "name": "nls" }, { "id": 4169, "name": "zh_langchain" }, { "id": 4170, "name": "manim" }, { "id": 4171, "name": "latex2mathml" }, { "id": 4172, "name": "rarfile" }, { "id": 4339, "name": "scipdf" }, { "id": 4451, "name": "zhipuai" }, { "id": 4529, "name": "nougat" }, { "id": 4818, "name": "autogen" } ], "last_checked_revision": "a96f842b3abfae8fa0ed4f110fc7de2ae5d6954d\n" }, { "id": 8, "url": "https://github.com/getsentry/sentry", "description": "Developer-first error tracking and performance monitoring", "stars": 35938, "source_graph_repo_id": 49872, "dependencies": [ { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 60, "name": "psycopg2" }, { "id": 66, "name": "celery" }, { "id": 72, "name": "jsonschema" }, { "id": 74, "name": "sentry_sdk" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 98, "name": "pytz" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 183, "name": "openai" }, { "id": 211, "name": "requests_oauthlib" }, { "id": 215, "name": "cryptography" }, { "id": 217, "name": "confluent_kafka" }, { "id": 218, "name": "lxml" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 319, "name": "kombu" }, { "id": 348, "name": "django" }, { "id": 410, "name": "selenium" }, { "id": 430, "name": "urllib3" }, { "id": 511, "name": "mypy" }, { "id": 572, "name": "croniter" }, { "id": 631, "name": "responses" }, { "id": 637, "name": "datadog" }, { "id": 667, "name": "sqlparse" }, { "id": 694, "name": "progressbar" }, { "id": 712, "name": "mmh3" }, { "id": 732, "name": "zstandard" }, { "id": 778, "name": "docker" }, { "id": 953, "name": "freezegun" }, { "id": 963, "name": "simplejson" }, { "id": 974, "name": "cachetools" }, { "id": 1021, "name": "oauthlib" }, { "id": 1061, "name": "jwt" }, { "id": 1107, "name": "msgpack" }, { "id": 1256, "name": "rest_framework" }, { "id": 1355, "name": "brotli" }, { "id": 1527, "name": "rb" }, { "id": 1531, "name": "rediscluster" }, { "id": 1542, "name": "pytest_django" }, { "id": 1683, "name": "structlog" }, { "id": 1687, "name": "uwsgidecorators" }, { "id": 1768, "name": "pytest_rerunfailures" }, { "id": 1769, "name": "snuba_sdk" }, { "id": 1770, "name": "social_auth" }, { "id": 1771, "name": "bitfield" }, { "id": 1772, "name": "codeowners" }, { "id": 1773, "name": "drf_spectacular" }, { "id": 1774, "name": "amqp" }, { "id": 1775, "name": "u2flib_server" }, { "id": 1776, "name": "ua_parser" }, { "id": 1777, "name": "parsimonious" }, { "id": 1778, "name": "openapi_core" }, { "id": 1779, "name": "mistune" }, { "id": 1780, "name": "arroyo" }, { "id": 1781, "name": "django_zero_downtime_migrations" }, { "id": 1782, "name": "honcho" }, { "id": 1783, "name": "sentry_plugins" }, { "id": 1784, "name": "csp" }, { "id": 1785, "name": "sentry_redis_tools" }, { "id": 1786, "name": "sentry_relay" }, { "id": 1787, "name": "petname" }, { "id": 1788, "name": "toronado" }, { "id": 1789, "name": "sudo" }, { "id": 1790, "name": "maxminddb" }, { "id": 1791, "name": "cssselect" }, { "id": 1792, "name": "isodate" }, { "id": 1793, "name": "email_reply_parser" }, { "id": 1794, "name": "phabricator" }, { "id": 1795, "name": "sentry_kafka_schemas" }, { "id": 1796, "name": "django_picklefield" }, { "id": 1797, "name": "phonenumbers" }, { "id": 1798, "name": "sentry" }, { "id": 1799, "name": "fido2" }, { "id": 1800, "name": "unidiff" }, { "id": 1801, "name": "rapidjson" }, { "id": 1802, "name": "symbolic" }, { "id": 2049, "name": "time_machine" }, { "id": 4544, "name": "django_stubs_ext" }, { "id": 4545, "name": "minimetrics" }, { "id": 4860, "name": "google_crc32c" }, { "id": 5122, "name": "usageaccountant" } ], "last_checked_revision": "dd1bb0d0d59d37cc7f5e2ca15c1717bc1f14ea2c\n" }, { "id": 9, "url": "https://github.com/LAION-AI/Open-Assistant", "description": "OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.", "stars": 36060, "source_graph_repo_id": 59815324, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 23, "name": "aiosqlite" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 53, "name": "PyPDF2" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 60, "name": "psycopg2" }, { "id": 61, "name": "alembic" }, { "id": 64, "name": "jose" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 80, "name": "tensorflow" }, { "id": 85, "name": "tritonclient" }, { "id": 86, "name": "sse_starlette" }, { "id": 87, "name": "tokenizers" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 165, "name": "evaluate" }, { "id": 178, "name": "peft" }, { "id": 182, "name": "wandb" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 190, "name": "locust" }, { "id": 206, "name": "langchain" }, { "id": 215, "name": "cryptography" }, { "id": 218, "name": "lxml" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 227, "name": "websocket" }, { "id": 228, "name": "bertopic" }, { "id": 229, "name": "retry" }, { "id": 230, "name": "fastlangid" }, { "id": 231, "name": "multitasking" }, { "id": 232, "name": "oasst_backend" }, { "id": 233, "name": "oasst_data" }, { "id": 234, "name": "rules" }, { "id": 235, "name": "prometheus_fastapi_instrumentator" }, { "id": 236, "name": "sqlmodel" }, { "id": 237, "name": "polars" }, { "id": 238, "name": "hikari" }, { "id": 239, "name": "lorem" }, { "id": 240, "name": "splits" }, { "id": 241, "name": "lightbulb" }, { "id": 242, "name": "kaggle" }, { "id": 243, "name": "html2text" }, { "id": 244, "name": "logic" }, { "id": 245, "name": "absl" }, { "id": 246, "name": "sentence_transformers" }, { "id": 247, "name": "fastapi_limiter" }, { "id": 248, "name": "text_client_utils" }, { "id": 249, "name": "authlib" }, { "id": 250, "name": "praw" }, { "id": 251, "name": "playwright" }, { "id": 252, "name": "fastapi_utils" }, { "id": 253, "name": "miru" }, { "id": 254, "name": "syntax" }, { "id": 255, "name": "spacy" }, { "id": 256, "name": "prawcore" }, { "id": 257, "name": "model_training" }, { "id": 258, "name": "youtube_transcript_api" }, { "id": 259, "name": "asgiref" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 262, "name": "oasst_shared" }, { "id": 263, "name": "blade2blade" }, { "id": 264, "name": "sseclient" }, { "id": 265, "name": "uuid_extensions" }, { "id": 266, "name": "discord" }, { "id": 267, "name": "trlx" }, { "id": 268, "name": "iso639" }, { "id": 269, "name": "bot" }, { "id": 270, "name": "oasst_inference_server" }, { "id": 519, "name": "sentencepiece" } ], "last_checked_revision": "e1769c102f1597cc0b53a8b915f858239d197aeb\n" }, { "id": 10, "url": "https://github.com/GokuMohandas/Made-With-ML", "description": "Learn how to design, develop, deploy and iterate on production-grade ML applications.", "stars": 34814, "source_graph_repo_id": 37246772, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 5, "name": "mlflow" }, { "id": 6, "name": "snorkel" }, { "id": 7, "name": "great_expectations" }, { "id": 8, "name": "pretty_errors" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 17, "name": "numpyencoder" }, { "id": 77, "name": "dotenv" }, { "id": 1560, "name": "nbformat" } ], "last_checked_revision": "66e8e437115029422db1a80ff93c308cfcd82648\n" }, { "id": 11, "url": "https://github.com/THUDM/ChatGLM-6B", "description": "ChatGLM-6B: An Open Bilingual Dialogue Language Model | \u5f00\u6e90\u53cc\u8bed\u5bf9\u8bdd\u8bed\u8a00\u6a21\u578b", "stars": 36908, "source_graph_repo_id": 60597457, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 39, "name": "streamlit" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 149, "name": "jieba" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 166, "name": "rouge_chinese" }, { "id": 180, "name": "apex" }, { "id": 182, "name": "wandb" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 208, "name": "mdtex2html" }, { "id": 456, "name": "fairscale" }, { "id": 532, "name": "intel_extension_for_pytorch" }, { "id": 533, "name": "optuna" }, { "id": 534, "name": "torch_xla" }, { "id": 535, "name": "smdistributed" }, { "id": 536, "name": "streamlit_chat" }, { "id": 537, "name": "torchdistx" } ], "last_checked_revision": "a0d6b9e1698f5bfd7ca610ebf03a4bd595f53dda\n" }, { "id": 12, "url": "https://github.com/xitu/gold-miner", "description": "\ud83e\udd47\u6398\u91d1\u7ffb\u8bd1\u8ba1\u5212\uff0c\u53ef\u80fd\u662f\u4e16\u754c\u6700\u5927\u6700\u597d\u7684\u82f1\u8bd1\u4e2d\u6280\u672f\u793e\u533a\uff0c\u6700\u61c2\u8bfb\u8005\u548c\u8bd1\u8005\u7684\u7ffb\u8bd1\u5e73\u53f0\uff1a", "stars": 33069, "source_graph_repo_id": 60158, "dependencies": [], "last_checked_revision": null }, { "id": 13, "url": "https://github.com/hpcaitech/ColossalAI", "description": "Making large AI models cheaper, faster and more accessible", "stars": 35765, "source_graph_repo_id": 56318829, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 35, "name": "slowapi" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 86, "name": "sse_starlette" }, { "id": 94, "name": "clip" }, { "id": 96, "name": "rich" }, { "id": 97, "name": "omegaconf" }, { "id": 105, "name": "timm" }, { "id": 107, "name": "ldm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 136, "name": "open_clip" }, { "id": 137, "name": "transformer_engine" }, { "id": 138, "name": "nltk" }, { "id": 139, "name": "model" }, { "id": 140, "name": "scipy" }, { "id": 141, "name": "energonai" }, { "id": 142, "name": "pynvml" }, { "id": 143, "name": "academictorrents" }, { "id": 144, "name": "megatron" }, { "id": 145, "name": "fire" }, { "id": 146, "name": "fastfold" }, { "id": 147, "name": "sanic" }, { "id": 148, "name": "main" }, { "id": 149, "name": "jieba" }, { "id": 150, "name": "quant_cuda" }, { "id": 151, "name": "bitsandbytes" }, { "id": 152, "name": "rouge_score" }, { "id": 153, "name": "mask" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 157, "name": "triton" }, { "id": 158, "name": "diffusers" }, { "id": 159, "name": "lightning" }, { "id": 160, "name": "pulp" }, { "id": 161, "name": "matplotlib" }, { "id": 162, "name": "loss_func" }, { "id": 163, "name": "pudb" }, { "id": 164, "name": "prefetch_generator" }, { "id": 165, "name": "evaluate" }, { "id": 166, "name": "rouge_chinese" }, { "id": 167, "name": "scann" }, { "id": 168, "name": "fused_mix_prec_layer_norm_cuda" }, { "id": 169, "name": "bert_score" }, { "id": 170, "name": "loralib" }, { "id": 171, "name": "imwatermark" }, { "id": 172, "name": "natsort" }, { "id": 173, "name": "contexttimer" }, { "id": 174, "name": "albumentations" }, { "id": 175, "name": "sanic_ext" }, { "id": 176, "name": "coati" }, { "id": 177, "name": "h5py" }, { "id": 178, "name": "peft" }, { "id": 179, "name": "fabric" }, { "id": 180, "name": "apex" }, { "id": 181, "name": "zhon" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 186, "name": "seaborn" }, { "id": 187, "name": "tensornvme" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 190, "name": "locust" }, { "id": 191, "name": "taming" }, { "id": 192, "name": "titans" }, { "id": 193, "name": "scripts" }, { "id": 206, "name": "langchain" }, { "id": 513, "name": "auto_gptq" }, { "id": 519, "name": "sentencepiece" }, { "id": 558, "name": "vllm" }, { "id": 720, "name": "rouge" }, { "id": 860, "name": "ts" }, { "id": 1116, "name": "flax" }, { "id": 1451, "name": "langchain_experimental" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 4615, "name": "torch_npu" }, { "id": 4622, "name": "exllama_kernels" }, { "id": 4643, "name": "colossal_eval" }, { "id": 4773, "name": "torch_int" }, { "id": 4819, "name": "lightllm" }, { "id": 4958, "name": "t5x" }, { "id": 5246, "name": "colossalqa" }, { "id": 5719, "name": "fused_weight_gradient_mlp_cuda" } ], "last_checked_revision": "3c0d82b19b8814c2e39d1d25d6de9dd25d25c21e\n" }, { "id": 14, "url": "https://github.com/babysor/MockingBird", "description": "\ud83d\ude80AI\u62df\u58f0: 5\u79d2\u5185\u514b\u9686\u60a8\u7684\u58f0\u97f3\u5e76\u751f\u6210\u4efb\u610f\u8bed\u97f3\u5185\u5bb9 Clone a voice in 5 seconds to generate arbitrary speech in real-time", "stars": 32635, "source_graph_repo_id": 55549330, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 54, "name": "loguru" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 278, "name": "plotly" }, { "id": 495, "name": "Cython" }, { "id": 673, "name": "multiprocess" }, { "id": 679, "name": "pypinyin" }, { "id": 682, "name": "cn2an" }, { "id": 723, "name": "editdistance" }, { "id": 754, "name": "librosa" }, { "id": 961, "name": "pywt" }, { "id": 1311, "name": "umap" }, { "id": 1346, "name": "PyQt5" }, { "id": 1618, "name": "unidecode" }, { "id": 1807, "name": "espnet" }, { "id": 1813, "name": "pyworld" }, { "id": 1817, "name": "inflect" }, { "id": 1835, "name": "soundfile" }, { "id": 1838, "name": "resampy" }, { "id": 1839, "name": "webrtcvad" }, { "id": 3657, "name": "encoder" }, { "id": 3658, "name": "lws" }, { "id": 3659, "name": "audioread" }, { "id": 3660, "name": "audio_recorder_streamlit" }, { "id": 3661, "name": "visdom" }, { "id": 3662, "name": "sounddevice" }, { "id": 3663, "name": "torch_complex" } ], "last_checked_revision": "156723e37cfd3a82b276bad8606d6166e7ee2982\n" }, { "id": 15, "url": "https://github.com/geekcomputers/Python", "description": "My Python Examples", "stars": 28871, "source_graph_repo_id": 51240, "dependencies": [ { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 38, "name": "pydantic" }, { "id": 53, "name": "PyPDF2" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 91, "name": "mysql" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 186, "name": "seaborn" }, { "id": 216, "name": "newspaper" }, { "id": 290, "name": "requests_mock" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 409, "name": "watchdog" }, { "id": 410, "name": "selenium" }, { "id": 430, "name": "urllib3" }, { "id": 443, "name": "mediapipe" }, { "id": 611, "name": "fitz" }, { "id": 612, "name": "pytesseract" }, { "id": 689, "name": "src" }, { "id": 857, "name": "keras" }, { "id": 876, "name": "pyperclip" }, { "id": 909, "name": "tornado" }, { "id": 948, "name": "apscheduler" }, { "id": 1004, "name": "colorama" }, { "id": 1068, "name": "docx" }, { "id": 1076, "name": "playsound" }, { "id": 1346, "name": "PyQt5" }, { "id": 1418, "name": "pyautogui" }, { "id": 1424, "name": "pyqrcode" }, { "id": 1436, "name": "emoji" }, { "id": 1483, "name": "win32com" }, { "id": 1553, "name": "_datetime" }, { "id": 1618, "name": "unidecode" }, { "id": 1722, "name": "simplegui" }, { "id": 1723, "name": "plyer" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 1725, "name": "sound" }, { "id": 1726, "name": "geocoder" }, { "id": 1727, "name": "png" }, { "id": 1728, "name": "mutagen" }, { "id": 1729, "name": "ezgmail" }, { "id": 1730, "name": "firebase_admin" }, { "id": 1731, "name": "fcrypt" }, { "id": 1732, "name": "oauth2client" }, { "id": 1733, "name": "translate" }, { "id": 1734, "name": "serial" }, { "id": 1735, "name": "pynput" }, { "id": 1736, "name": "pytube" }, { "id": 1737, "name": "pyttsx3" }, { "id": 1738, "name": "mechanize" }, { "id": 1739, "name": "httplib2" }, { "id": 1740, "name": "twilio" }, { "id": 1741, "name": "tabula" }, { "id": 1742, "name": "pyPDF2" }, { "id": 1743, "name": "pywhatkit" }, { "id": 1744, "name": "ccxt" }, { "id": 1745, "name": "fpdf" }, { "id": 1746, "name": "tkcalendar" }, { "id": 1747, "name": "pyglet" }, { "id": 1748, "name": "speech_recognition" }, { "id": 1749, "name": "quo" }, { "id": 1750, "name": "gtts" }, { "id": 1751, "name": "pyjokes" }, { "id": 1752, "name": "xlwt" }, { "id": 1753, "name": "freegames" }, { "id": 1754, "name": "apiclient" }, { "id": 1755, "name": "openpyxl" }, { "id": 1756, "name": "flask_ask" }, { "id": 1757, "name": "notepad_support" }, { "id": 1758, "name": "nmap" }, { "id": 1759, "name": "pafy" }, { "id": 1760, "name": "instagram_monitering" }, { "id": 1761, "name": "socks" }, { "id": 1762, "name": "tweepy" }, { "id": 1763, "name": "xlrd" }, { "id": 1764, "name": "googletrans" }, { "id": 1765, "name": "tkinterweb" }, { "id": 1766, "name": "win10toast" }, { "id": 1767, "name": "pywifi" }, { "id": 2790, "name": "yfinance" }, { "id": 3889, "name": "pyshorteners" }, { "id": 4114, "name": "pdf2docx" }, { "id": 4695, "name": "hupper" }, { "id": 4696, "name": "todo" }, { "id": 4772, "name": "thirdai" }, { "id": 4859, "name": "solara" } ], "last_checked_revision": "9673dda0f314cf55285b39f2b2345bc8ee9f7cd4\n" }, { "id": 16, "url": "https://github.com/ray-project/ray", "description": "Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.", "stars": 29259, "source_graph_repo_id": 397548, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 5, "name": "mlflow" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 49, "name": "grpc" }, { "id": 56, "name": "redis" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 88, "name": "pexpect" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 159, "name": "lightning" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 177, "name": "h5py" }, { "id": 178, "name": "peft" }, { "id": 182, "name": "wandb" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 190, "name": "locust" }, { "id": 215, "name": "cryptography" }, { "id": 218, "name": "lxml" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 229, "name": "retry" }, { "id": 237, "name": "polars" }, { "id": 245, "name": "absl" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 272, "name": "bson" }, { "id": 300, "name": "com" }, { "id": 303, "name": "my_module" }, { "id": 341, "name": "paramiko" }, { "id": 349, "name": "mock" }, { "id": 351, "name": "sphinx" }, { "id": 370, "name": "dask" }, { "id": 412, "name": "cloudpickle" }, { "id": 414, "name": "GPUtil" }, { "id": 417, "name": "xgboost_ray" }, { "id": 418, "name": "joblib" }, { "id": 419, "name": "torchmetrics" }, { "id": 420, "name": "horovod" }, { "id": 422, "name": "gpustat" }, { "id": 424, "name": "aim" }, { "id": 425, "name": "fsspec" }, { "id": 426, "name": "lightgbm" }, { "id": 431, "name": "comet_ml" }, { "id": 437, "name": "modin" }, { "id": 441, "name": "lightgbm_ray" }, { "id": 442, "name": "filelock" }, { "id": 446, "name": "tensorboardX" }, { "id": 452, "name": "onnxruntime" }, { "id": 479, "name": "regex" }, { "id": 497, "name": "prometheus_client" }, { "id": 508, "name": "setproctitle" }, { "id": 509, "name": "docutils" }, { "id": 511, "name": "mypy" }, { "id": 531, "name": "opentelemetry" }, { "id": 533, "name": "optuna" }, { "id": 539, "name": "pydantic_core" }, { "id": 551, "name": "deepspeed" }, { "id": 558, "name": "vllm" }, { "id": 562, "name": "gym" }, { "id": 565, "name": "s3fs" }, { "id": 574, "name": "websockets" }, { "id": 580, "name": "gymnasium" }, { "id": 583, "name": "__main__" }, { "id": 598, "name": "torchdata" }, { "id": 605, "name": "mpi4py" }, { "id": 640, "name": "numba" }, { "id": 734, "name": "pymysql" }, { "id": 737, "name": "pip" }, { "id": 760, "name": "hyperopt" }, { "id": 794, "name": "moto" }, { "id": 799, "name": "xgboost" }, { "id": 804, "name": "cupy" }, { "id": 808, "name": "ipywidgets" }, { "id": 818, "name": "mlagents_envs" }, { "id": 819, "name": "pyspark" }, { "id": 825, "name": "torch_neuronx" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 845, "name": "stable_baselines" }, { "id": 849, "name": "jax" }, { "id": 857, "name": "keras" }, { "id": 862, "name": "fairseq" }, { "id": 872, "name": "catboost" }, { "id": 893, "name": "smart_open" }, { "id": 894, "name": "optax" }, { "id": 909, "name": "tornado" }, { "id": 951, "name": "pytest_lazyfixture" }, { "id": 953, "name": "freezegun" }, { "id": 1004, "name": "colorama" }, { "id": 1065, "name": "async_timeout" }, { "id": 1086, "name": "win32api" }, { "id": 1107, "name": "msgpack" }, { "id": 1116, "name": "flax" }, { "id": 1117, "name": "watchfiles" }, { "id": 1134, "name": "kubernetes" }, { "id": 1312, "name": "ConfigSpace" }, { "id": 1313, "name": "skopt" }, { "id": 1325, "name": "tune_sklearn" }, { "id": 1330, "name": "dbruntime" }, { "id": 1436, "name": "emoji" }, { "id": 1509, "name": "distributed" }, { "id": 1517, "name": "opcode" }, { "id": 1518, "name": "pydot" }, { "id": 1519, "name": "_collections_abc" }, { "id": 1521, "name": "pickle5" }, { "id": 1551, "name": "setuptools_scm" }, { "id": 1556, "name": "gcsfs" }, { "id": 1572, "name": "snappy" }, { "id": 1624, "name": "tf2onnx" }, { "id": 1626, "name": "aioboto3" }, { "id": 1629, "name": "faster_whisper" }, { "id": 1640, "name": "github" }, { "id": 1898, "name": "frozenlist" }, { "id": 1899, "name": "wcwidth" }, { "id": 1900, "name": "deepmind_lab" }, { "id": 1901, "name": "chess" }, { "id": 1902, "name": "bayes_opt" }, { "id": 1903, "name": "aiorwlock" }, { "id": 1904, "name": "zoopt" }, { "id": 1905, "name": "ax" }, { "id": 1906, "name": "recsim" }, { "id": 1907, "name": "pip_install_test" }, { "id": 1908, "name": "fairseq_cli" }, { "id": 1909, "name": "hebo" }, { "id": 1910, "name": "aiosignal" }, { "id": 1911, "name": "memray" }, { "id": 1912, "name": "aiohttp_cors" }, { "id": 1913, "name": "numexpr" }, { "id": 1914, "name": "aliyunsdkecs" }, { "id": 1915, "name": "jsonpatch" }, { "id": 1916, "name": "flaml" }, { "id": 1917, "name": "rllib_a3c" }, { "id": 1918, "name": "dm_env" }, { "id": 1919, "name": "virtualenv" }, { "id": 1920, "name": "runfiles" }, { "id": 1921, "name": "composer" }, { "id": 1922, "name": "testfixtures" }, { "id": 1923, "name": "jupytext" }, { "id": 1924, "name": "win32con" }, { "id": 1925, "name": "pytest_timeout" }, { "id": 1926, "name": "dragonfly" }, { "id": 1927, "name": "win32job" }, { "id": 1928, "name": "test_module" }, { "id": 1929, "name": "pettingzoo" }, { "id": 1930, "name": "rllib_a2c" }, { "id": 1931, "name": "test_env" }, { "id": 1932, "name": "pymongoarrow" }, { "id": 1933, "name": "rllib_maml" }, { "id": 1934, "name": "ray_shuffling_data_loader" }, { "id": 1935, "name": "raydp" }, { "id": 1936, "name": "tensorflow_metadata" }, { "id": 1937, "name": "pyspiel" }, { "id": 1938, "name": "higher" }, { "id": 1939, "name": "opencensus" }, { "id": 1940, "name": "dir2" }, { "id": 1941, "name": "my_pkg" }, { "id": 1942, "name": "pygloo" }, { "id": 1943, "name": "crc32c" }, { "id": 1944, "name": "hpbandster" }, { "id": 1945, "name": "supersuit" }, { "id": 1946, "name": "colorful" }, { "id": 1947, "name": "anyscale" }, { "id": 1948, "name": "ludwig" }, { "id": 1949, "name": "minigrid" }, { "id": 1950, "name": "_pickle" }, { "id": 1951, "name": "dnc" }, { "id": 1952, "name": "trustme" }, { "id": 1953, "name": "alpa" }, { "id": 1954, "name": "aliyunsdkcore" }, { "id": 1955, "name": "conditional_dag" }, { "id": 1956, "name": "pytest_virtualenv" }, { "id": 1957, "name": "asyncmock" }, { "id": 1958, "name": "GPy" }, { "id": 1959, "name": "d4rl" }, { "id": 1960, "name": "threadpoolctl" }, { "id": 1961, "name": "traci" }, { "id": 1962, "name": "ray_release" }, { "id": 1963, "name": "torch_geometric" }, { "id": 1964, "name": "vizdoomgym" }, { "id": 1965, "name": "pybullet_envs" }, { "id": 1966, "name": "libsumo" }, { "id": 1967, "name": "chest" }, { "id": 1968, "name": "rllib_ddpg" }, { "id": 1969, "name": "rllib_r2d2" }, { "id": 1970, "name": "msgpack_numpy" }, { "id": 1971, "name": "tree" }, { "id": 1972, "name": "kaggle_environments" }, { "id": 1973, "name": "lz4" }, { "id": 1974, "name": "streaming" }, { "id": 1975, "name": "mars" }, { "id": 1976, "name": "pytest_docker_tools" }, { "id": 1977, "name": "open_spiel" }, { "id": 1978, "name": "nevergrad" }, { "id": 1979, "name": "llm_serving" }, { "id": 1980, "name": "pybuildkite" }, { "id": 1981, "name": "xarray" }, { "id": 1982, "name": "tensorflow_probability" }, { "id": 1983, "name": "sigopt" }, { "id": 1984, "name": "dm_control" }, { "id": 2409, "name": "gradio_client" }, { "id": 3955, "name": "setup" }, { "id": 4332, "name": "vmware" }, { "id": 4333, "name": "pyVmomi" }, { "id": 4334, "name": "pyVim" }, { "id": 4395, "name": "flappy_bird_gymnasium" }, { "id": 4716, "name": "rllib_bandit" }, { "id": 4717, "name": "rllib_es" }, { "id": 4718, "name": "rllib_qmix" }, { "id": 4719, "name": "rllib_simple_q" }, { "id": 4720, "name": "rllib_slate_q" }, { "id": 4721, "name": "rllib_apex_ddpg" }, { "id": 4722, "name": "rllib_pg" }, { "id": 4723, "name": "rllib_crr" }, { "id": 4724, "name": "rllib_alpha_star" }, { "id": 4725, "name": "rllib_alpha_zero" }, { "id": 4726, "name": "rllib_dt" }, { "id": 4727, "name": "rllib_mbmpo" }, { "id": 4728, "name": "rllib_td3" }, { "id": 4729, "name": "rllib_leela_chess_zero" }, { "id": 4730, "name": "rllib_apex_dqn" }, { "id": 4731, "name": "rllib_ars" }, { "id": 4732, "name": "rllib_maddpg" }, { "id": 4743, "name": "rllib_ddppo" }, { "id": 4862, "name": "dpctl" }, { "id": 4937, "name": "habana_frameworks" }, { "id": 5266, "name": "acl" }, { "id": 5289, "name": "pydata_sphinx_theme" } ], "last_checked_revision": "bbbe66200eafda8fd0be62aafff3ba40c071bb21\n" }, { "id": 17, "url": "https://github.com/lm-sys/FastChat", "description": "An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.", "stars": 30604, "source_graph_repo_id": 60713970, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 96, "name": "rich" }, { "id": 98, "name": "pytz" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 206, "name": "langchain" }, { "id": 246, "name": "sentence_transformers" }, { "id": 278, "name": "plotly" }, { "id": 516, "name": "shortuuid" }, { "id": 521, "name": "jsonlines" }, { "id": 532, "name": "intel_extension_for_pytorch" }, { "id": 550, "name": "rwkv" }, { "id": 551, "name": "deepspeed" }, { "id": 552, "name": "tinychat" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 554, "name": "vertexai" }, { "id": 555, "name": "polyglot" }, { "id": 556, "name": "anthropic" }, { "id": 557, "name": "pycld2" }, { "id": 558, "name": "vllm" }, { "id": 559, "name": "markdownify" }, { "id": 560, "name": "llama" }, { "id": 1842, "name": "opencc" }, { "id": 3399, "name": "modelscope" }, { "id": 4588, "name": "hdbscan" }, { "id": 4615, "name": "torch_npu" }, { "id": 4616, "name": "kaleido" }, { "id": 4635, "name": "exllamav2" } ], "last_checked_revision": "722ab0299fd10221fa4686267fe068a688bacd4c\n" }, { "id": 18, "url": "https://github.com/reworkd/AgentGPT", "description": "\ud83e\udd16 Assemble, configure, and deploy autonomous AI Agents in your browser.", "stars": 28188, "source_graph_repo_id": 60775647, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 43, "name": "pinecone" }, { "id": 50, "name": "tiktoken" }, { "id": 54, "name": "loguru" }, { "id": 68, "name": "sqlalchemy" }, { "id": 81, "name": "boto3" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 215, "name": "cryptography" }, { "id": 223, "name": "botocore" }, { "id": 620, "name": "networkx" }, { "id": 929, "name": "yarl" }, { "id": 946, "name": "pytest_mock" }, { "id": 1057, "name": "kafka" }, { "id": 1068, "name": "docx" }, { "id": 1088, "name": "replicate" }, { "id": 1741, "name": "tabula" }, { "id": 2272, "name": "pusher" }, { "id": 2797, "name": "aiokafka" }, { "id": 4271, "name": "lanarky" }, { "id": 4272, "name": "scrapingbee" }, { "id": 4273, "name": "reworkd_platform" } ], "last_checked_revision": "0c4914c5cfdd703372faab5dcf4f60b7bcb55ff2\n" }, { "id": 19, "url": "https://github.com/docker/awesome-compose", "description": "Awesome Docker Compose samples", "stars": 27861, "source_graph_repo_id": 40427234, "dependencies": [ { "id": 1, "name": "" }, { "id": 56, "name": "redis" }, { "id": 77, "name": "dotenv" }, { "id": 90, "name": "environs" }, { "id": 91, "name": "mysql" }, { "id": 92, "name": "pymongo" } ], "last_checked_revision": "e6b1d2755f2f72a363fc346e52dce10cace846c8\n" }, { "id": 20, "url": "https://github.com/Lightning-AI/pytorch-lightning", "description": "Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.", "stars": 25565, "source_graph_repo_id": 37965543, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 45, "name": "arrow" }, { "id": 56, "name": "redis" }, { "id": 62, "name": "app" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 96, "name": "rich" }, { "id": 97, "name": "omegaconf" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 159, "name": "lightning" }, { "id": 161, "name": "matplotlib" }, { "id": 182, "name": "wandb" }, { "id": 190, "name": "locust" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 227, "name": "websocket" }, { "id": 236, "name": "sqlmodel" }, { "id": 251, "name": "playwright" }, { "id": 278, "name": "plotly" }, { "id": 290, "name": "requests_mock" }, { "id": 292, "name": "flask" }, { "id": 322, "name": "py" }, { "id": 355, "name": "importlib_metadata" }, { "id": 380, "name": "core" }, { "id": 405, "name": "panel" }, { "id": 412, "name": "cloudpickle" }, { "id": 418, "name": "joblib" }, { "id": 419, "name": "torchmetrics" }, { "id": 425, "name": "fsspec" }, { "id": 430, "name": "urllib3" }, { "id": 431, "name": "comet_ml" }, { "id": 434, "name": "hiplot" }, { "id": 446, "name": "tensorboardX" }, { "id": 449, "name": "hydra" }, { "id": 452, "name": "onnxruntime" }, { "id": 485, "name": "lmdb" }, { "id": 533, "name": "optuna" }, { "id": 534, "name": "torch_xla" }, { "id": 551, "name": "deepspeed" }, { "id": 561, "name": "tests_pytorch" }, { "id": 562, "name": "gym" }, { "id": 563, "name": "starsessions" }, { "id": 564, "name": "lightning_api_access" }, { "id": 565, "name": "s3fs" }, { "id": 566, "name": "dash_renderjson" }, { "id": 567, "name": "rl" }, { "id": 568, "name": "lightning_habana" }, { "id": 569, "name": "deepdiff" }, { "id": 570, "name": "lit_jupyter" }, { "id": 571, "name": "justpy" }, { "id": 572, "name": "croniter" }, { "id": 573, "name": "inquirer" }, { "id": 574, "name": "websockets" }, { "id": 575, "name": "lightning_cloud" }, { "id": 576, "name": "tests_cloud" }, { "id": 577, "name": "pympler" }, { "id": 578, "name": "param" }, { "id": 579, "name": "get_ipython" }, { "id": 580, "name": "gymnasium" }, { "id": 581, "name": "integrations_app" }, { "id": 582, "name": "lightning_graphcore" }, { "id": 583, "name": "__main__" }, { "id": 584, "name": "tests_fabric" }, { "id": 585, "name": "pt_lightning_sphinx_theme" }, { "id": 586, "name": "lightning_app" }, { "id": 587, "name": "flask_cors" }, { "id": 588, "name": "tests_app" }, { "id": 589, "name": "jsonargparse" }, { "id": 590, "name": "parity_fabric" }, { "id": 591, "name": "learn2learn" }, { "id": 592, "name": "dash" }, { "id": 593, "name": "lightning_bagua" }, { "id": 594, "name": "dash_daq" }, { "id": 595, "name": "backoff" }, { "id": 596, "name": "lightning_utilities" }, { "id": 597, "name": "docstring_parser" }, { "id": 598, "name": "torchdata" }, { "id": 599, "name": "lightning_colossalai" }, { "id": 600, "name": "placeholdername" }, { "id": 601, "name": "flash" }, { "id": 602, "name": "parity_pytorch" }, { "id": 603, "name": "streamlit_autorefresh" }, { "id": 604, "name": "cherry" }, { "id": 605, "name": "mpi4py" }, { "id": 606, "name": "adlfs" }, { "id": 607, "name": "tensorboard" }, { "id": 608, "name": "lai_sphinx_theme" }, { "id": 1514, "name": "viztracer" }, { "id": 1556, "name": "gcsfs" }, { "id": 3908, "name": "zstd" }, { "id": 5624, "name": "lightning_launcher" } ], "last_checked_revision": "f75f3bc1c65a2bb3388ffd68b1ee70ed9741525c\n" }, { "id": 21, "url": "https://github.com/freqtrade/freqtrade", "description": "Free, open source crypto trading bot", "stars": 23879, "source_graph_repo_id": 36290188, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 38, "name": "pydantic" }, { "id": 45, "name": "arrow" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 140, "name": "scipy" }, { "id": 156, "name": "tabulate" }, { "id": 278, "name": "plotly" }, { "id": 399, "name": "orjson" }, { "id": 418, "name": "joblib" }, { "id": 426, "name": "lightgbm" }, { "id": 442, "name": "filelock" }, { "id": 574, "name": "websockets" }, { "id": 580, "name": "gymnasium" }, { "id": 799, "name": "xgboost" }, { "id": 872, "name": "catboost" }, { "id": 960, "name": "talib" }, { "id": 974, "name": "cachetools" }, { "id": 1004, "name": "colorama" }, { "id": 1061, "name": "jwt" }, { "id": 1313, "name": "skopt" }, { "id": 1485, "name": "questionary" }, { "id": 1744, "name": "ccxt" }, { "id": 1801, "name": "rapidjson" }, { "id": 2039, "name": "ast_comments" }, { "id": 2040, "name": "schedule" }, { "id": 2041, "name": "utils_find_1st" }, { "id": 2042, "name": "telegram" }, { "id": 2043, "name": "sb3_contrib" }, { "id": 2044, "name": "cysystemd" }, { "id": 2045, "name": "nonexiting_module" }, { "id": 2046, "name": "sdnotify" }, { "id": 2047, "name": "stable_baselines3" }, { "id": 2048, "name": "technical" }, { "id": 2049, "name": "time_machine" }, { "id": 2050, "name": "pycoingecko" }, { "id": 2051, "name": "datasieve" }, { "id": 3811, "name": "xdist" } ], "last_checked_revision": "7a6888dfd3bb29ef23f650d4fcce9d4235918bf5\n" }, { "id": 22, "url": "https://github.com/gradio-app/gradio", "description": "Build and share delightful machine learning apps, all in Python. \ud83c\udf1f Star to support our work!", "stars": 25269, "source_graph_repo_id": 38815265, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 73, "name": "jinja2" }, { "id": 75, "name": "importlib_resources" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 96, "name": "rich" }, { "id": 106, "name": "anyio" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 185, "name": "huggingface_hub" }, { "id": 249, "name": "authlib" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 266, "name": "discord" }, { "id": 278, "name": "plotly" }, { "id": 399, "name": "orjson" }, { "id": 400, "name": "altair" }, { "id": 425, "name": "fsspec" }, { "id": 429, "name": "wget" }, { "id": 439, "name": "torchaudio" }, { "id": 442, "name": "filelock" }, { "id": 542, "name": "multipart" }, { "id": 548, "name": "markupsafe" }, { "id": 574, "name": "websockets" }, { "id": 698, "name": "pydub" }, { "id": 754, "name": "librosa" }, { "id": 791, "name": "shap" }, { "id": 799, "name": "xgboost" }, { "id": 824, "name": "bokeh" }, { "id": 1083, "name": "aiofiles" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1549, "name": "tomlkit" }, { "id": 1560, "name": "nbformat" }, { "id": 2000, "name": "prophet" }, { "id": 2032, "name": "markdown_it" }, { "id": 2033, "name": "pyodide" }, { "id": 2035, "name": "mdit_py_plugins" }, { "id": 2380, "name": "gdown" }, { "id": 2401, "name": "open3d" }, { "id": 2402, "name": "pypistats" }, { "id": 2403, "name": "spaces" }, { "id": 2404, "name": "semantic_version" }, { "id": 2405, "name": "neon_tts_plugin_coqui" }, { "id": 2406, "name": "xyzservices" }, { "id": 2407, "name": "ffmpy" }, { "id": 2408, "name": "vega_datasets" }, { "id": 2409, "name": "gradio_client" }, { "id": 4935, "name": "twine" }, { "id": 4936, "name": "gradio_test" }, { "id": 5111, "name": "gradio_pdf" } ], "last_checked_revision": "02c24422174065b79bfccb258cdfefc6b2b69dc6\n" }, { "id": 23, "url": "https://github.com/StanGirard/quivr", "description": "Your GenAI Second Brain \ud83e\udde0 A personal productivity assistant (RAG) \u26a1\ufe0f\ud83e\udd16 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, that you can share with users ! Local & Private alternative to OpenAI GPTs & ChatGPT powered by retrieval-augmented generation ", "stars": 26706, "source_graph_repo_id": 60982776, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 48, "name": "supabase" }, { "id": 64, "name": "jose" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 74, "name": "sentry_sdk" }, { "id": 77, "name": "dotenv" }, { "id": 148, "name": "main" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 194, "name": "logger" }, { "id": 195, "name": "llm" }, { "id": 196, "name": "asyncpg" }, { "id": 197, "name": "vectorstore" }, { "id": 198, "name": "auth" }, { "id": 199, "name": "routes" }, { "id": 200, "name": "models" }, { "id": 201, "name": "repository" }, { "id": 202, "name": "resend" }, { "id": 203, "name": "pypandoc" }, { "id": 204, "name": "parsers" }, { "id": 205, "name": "crawl" }, { "id": 206, "name": "langchain" }, { "id": 216, "name": "newspaper" }, { "id": 476, "name": "modules" }, { "id": 505, "name": "debugpy" }, { "id": 765, "name": "attr" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 2042, "name": "telegram" }, { "id": 2693, "name": "loaders" }, { "id": 4255, "name": "litellm" }, { "id": 4477, "name": "celery_worker" }, { "id": 4478, "name": "celery_task" }, { "id": 4909, "name": "packages" }, { "id": 5123, "name": "middlewares" }, { "id": 5226, "name": "langchain_core" } ], "last_checked_revision": "e460e62468c19ce7b7358f113b86db94560366b9\n" }, { "id": 24, "url": "https://github.com/openai/chatgpt-retrieval-plugin", "description": "The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.", "stars": 20370, "source_graph_repo_id": 60661598, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 28, "name": "_pytest" }, { "id": 30, "name": "certifi" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 40, "name": "pptx" }, { "id": 41, "name": "docx2txt" }, { "id": 42, "name": "weaviate" }, { "id": 43, "name": "pinecone" }, { "id": 44, "name": "chromadb" }, { "id": 45, "name": "arrow" }, { "id": 46, "name": "azure" }, { "id": 47, "name": "tenacity" }, { "id": 48, "name": "supabase" }, { "id": 49, "name": "grpc" }, { "id": 50, "name": "tiktoken" }, { "id": 51, "name": "qdrant_client" }, { "id": 52, "name": "psycopg2cffi" }, { "id": 53, "name": "PyPDF2" }, { "id": 54, "name": "loguru" }, { "id": 55, "name": "pgvector" }, { "id": 56, "name": "redis" }, { "id": 57, "name": "llama_index" }, { "id": 58, "name": "pymilvus" }, { "id": 59, "name": "elasticsearch" }, { "id": 60, "name": "psycopg2" }, { "id": 77, "name": "dotenv" }, { "id": 92, "name": "pymongo" } ], "last_checked_revision": "b02139d174e2c2b3de6a17ed4914c05f4a552c2f\n" }, { "id": 25, "url": "https://github.com/jina-ai/jina", "description": "\u2601\ufe0f Build multimodal AI applications with cloud-native stack", "stars": 19514, "source_graph_repo_id": 40799193, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 72, "name": "jsonschema" }, { "id": 96, "name": "rich" }, { "id": 106, "name": "anyio" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 333, "name": "some" }, { "id": 349, "name": "mock" }, { "id": 351, "name": "sphinx" }, { "id": 442, "name": "filelock" }, { "id": 497, "name": "prometheus_client" }, { "id": 528, "name": "docarray" }, { "id": 531, "name": "opentelemetry" }, { "id": 541, "name": "strawberry" }, { "id": 574, "name": "websockets" }, { "id": 778, "name": "docker" }, { "id": 1086, "name": "win32api" }, { "id": 1110, "name": "grpc_health" }, { "id": 1115, "name": "grpc_reflection" }, { "id": 1117, "name": "watchfiles" }, { "id": 1134, "name": "kubernetes" }, { "id": 2248, "name": "portforward" }, { "id": 2754, "name": "sgqlc" }, { "id": 2755, "name": "jraft" }, { "id": 2756, "name": "fastentrypoint" }, { "id": 2757, "name": "jcloud" }, { "id": 2758, "name": "hubble" }, { "id": 2759, "name": "tiny" }, { "id": 2760, "name": "pytest_kind" }, { "id": 2761, "name": "prometheus_api_client" }, { "id": 2762, "name": "abcdefg" }, { "id": 2763, "name": "ngt" } ], "last_checked_revision": "15a7b802b2b4b30519a0502688e099e19c7ae932\n" }, { "id": 26, "url": "https://github.com/invoke-ai/InvokeAI", "description": "InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.", "stars": 20086, "source_graph_repo_id": 58880625, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 94, "name": "clip" }, { "id": 96, "name": "rich" }, { "id": 97, "name": "omegaconf" }, { "id": 106, "name": "anyio" }, { "id": 107, "name": "ldm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 119, "name": "basicsr" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 128, "name": "k_diffusion" }, { "id": 130, "name": "safetensors" }, { "id": 134, "name": "realesrgan" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 163, "name": "pudb" }, { "id": 167, "name": "scann" }, { "id": 171, "name": "imwatermark" }, { "id": 174, "name": "albumentations" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 292, "name": "flask" }, { "id": 408, "name": "socketio" }, { "id": 443, "name": "mediapipe" }, { "id": 452, "name": "onnxruntime" }, { "id": 468, "name": "onnx" }, { "id": 538, "name": "pydantic_settings" }, { "id": 539, "name": "pydantic_core" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 620, "name": "networkx" }, { "id": 808, "name": "ipywidgets" }, { "id": 874, "name": "fastapi_socketio" }, { "id": 875, "name": "compel" }, { "id": 876, "name": "pyperclip" }, { "id": 877, "name": "easing_functions" }, { "id": 878, "name": "send2trash" }, { "id": 879, "name": "flask_socketio" }, { "id": 880, "name": "picklescan" }, { "id": 881, "name": "npyscreen" }, { "id": 882, "name": "plumbum" }, { "id": 883, "name": "flaskwebgui" }, { "id": 884, "name": "dynamicprompts" }, { "id": 885, "name": "eventlet" }, { "id": 886, "name": "werkzeug" }, { "id": 887, "name": "fastapi_events" }, { "id": 888, "name": "controlnet_aux" }, { "id": 941, "name": "semver" }, { "id": 1343, "name": "pyparsing" }, { "id": 4394, "name": "jurigged" }, { "id": 5114, "name": "imohash" }, { "id": 5686, "name": "requests_testadapter" } ], "last_checked_revision": "2bbab9d94e775021f069520ad3398c7fc83a9985\n" }, { "id": 27, "url": "https://github.com/OpenAPITools/openapi-generator", "description": "OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)", "stars": 18609, "source_graph_repo_id": 36211356, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 62, "name": "app" }, { "id": 155, "name": "six" }, { "id": 292, "name": "flask" }, { "id": 349, "name": "mock" }, { "id": 373, "name": "tests" }, { "id": 430, "name": "urllib3" }, { "id": 641, "name": "aenum" }, { "id": 642, "name": "openapi_server" }, { "id": 643, "name": "Crypto" }, { "id": 644, "name": "connexion" }, { "id": 645, "name": "flask_testing" }, { "id": 646, "name": "openapi_client" }, { "id": 647, "name": "petstore_api" }, { "id": 2795, "name": "aiohttp_retry" } ], "last_checked_revision": "8b5b5a74c333b809c5a651366656257ec8a6fef3\n" }, { "id": 28, "url": "https://github.com/astral-sh/ruff", "description": "An extremely fast Python linter and code formatter, written in Rust.", "stars": 21749, "source_graph_repo_id": 58965086, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 62, "name": "app" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 80, "name": "tensorflow" }, { "id": 98, "name": "pytz" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 147, "name": "sanic" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 186, "name": "seaborn" }, { "id": 200, "name": "models" }, { "id": 207, "name": "black" }, { "id": 215, "name": "cryptography" }, { "id": 237, "name": "polars" }, { "id": 261, "name": "pyarrow" }, { "id": 273, "name": "airflow" }, { "id": 274, "name": "slow" }, { "id": 275, "name": "line_with_91" }, { "id": 276, "name": "line_with_89" }, { "id": 277, "name": "z" }, { "id": 278, "name": "plotly" }, { "id": 279, "name": "line_with_88" }, { "id": 280, "name": "FOO" }, { "id": 281, "name": "experiments" }, { "id": 282, "name": "some_module" }, { "id": 283, "name": "numpy2" }, { "id": 284, "name": "aa" }, { "id": 285, "name": "foo9" }, { "id": 286, "name": "background" }, { "id": 287, "name": "attrs" }, { "id": 288, "name": "numpy1" }, { "id": 289, "name": "line_with_92" }, { "id": 290, "name": "requests_mock" }, { "id": 291, "name": "custom_typing" }, { "id": 292, "name": "flask" }, { "id": 293, "name": "fast" }, { "id": 294, "name": "lib2" }, { "id": 295, "name": "D" }, { "id": 296, "name": "E" }, { "id": 297, "name": "pysnmp" }, { "id": 298, "name": "pkg" }, { "id": 299, "name": "bbb" }, { "id": 300, "name": "com" }, { "id": 301, "name": "x" }, { "id": 302, "name": "BAR" }, { "id": 303, "name": "my_module" }, { "id": 304, "name": "fu" }, { "id": 305, "name": "some_other_module" }, { "id": 306, "name": "bop" }, { "id": 307, "name": "foo15" }, { "id": 308, "name": "mypackage" }, { "id": 309, "name": "myapp" }, { "id": 310, "name": "a" }, { "id": 311, "name": "inner_imports" }, { "id": 312, "name": "modl" }, { "id": 313, "name": "mypy_extensions" }, { "id": 314, "name": "name_of_a_company" }, { "id": 315, "name": "module2" }, { "id": 316, "name": "line_with_90" }, { "id": 317, "name": "baz" }, { "id": 318, "name": "somewhere" }, { "id": 319, "name": "kombu" }, { "id": 320, "name": "lib4" }, { "id": 321, "name": "my_first_party" }, { "id": 322, "name": "py" }, { "id": 323, "name": "TYP001" }, { "id": 324, "name": "foo16" }, { "id": 325, "name": "c" }, { "id": 326, "name": "foo14" }, { "id": 327, "name": "f" }, { "id": 328, "name": "foo2" }, { "id": 329, "name": "foo10" }, { "id": 330, "name": "applications" }, { "id": 331, "name": "funca" }, { "id": 332, "name": "dd" }, { "id": 333, "name": "some" }, { "id": 334, "name": "bpy" }, { "id": 335, "name": "_typeshed" }, { "id": 336, "name": "A" }, { "id": 337, "name": "annotations" }, { "id": 338, "name": "notpytest" }, { "id": 339, "name": "myclass" }, { "id": 340, "name": "aksjdhflsakhdflkjsadlfajkslhfdkjsaldajlahflashdfljahlfksajlhfajfjfsaahflakjslhdfkjalhdskjfa" }, { "id": 341, "name": "paramiko" }, { "id": 342, "name": "import_self" }, { "id": 343, "name": "some_library" }, { "id": 344, "name": "B" }, { "id": 345, "name": "foo6" }, { "id": 346, "name": "foo7" }, { "id": 347, "name": "foo13" }, { "id": 348, "name": "django" }, { "id": 349, "name": "mock" }, { "id": 350, "name": "mymodule" }, { "id": 351, "name": "sphinx" }, { "id": 352, "name": "mwahaha" }, { "id": 353, "name": "foo3" }, { "id": 354, "name": "third_party" }, { "id": 355, "name": "importlib_metadata" }, { "id": 356, "name": "library" }, { "id": 357, "name": "directory" }, { "id": 358, "name": "b" }, { "id": 359, "name": "bb" }, { "id": 360, "name": "pkgfoo" }, { "id": 361, "name": "g" }, { "id": 362, "name": "geopandas" }, { "id": 363, "name": "transport" }, { "id": 364, "name": "foo4" }, { "id": 365, "name": "hello" }, { "id": 366, "name": "lib6" }, { "id": 367, "name": "h" }, { "id": 368, "name": "moo" }, { "id": 369, "name": "numpy10" }, { "id": 370, "name": "dask" }, { "id": 371, "name": "lib5" }, { "id": 372, "name": "this" }, { "id": 373, "name": "tests" }, { "id": 374, "name": "F" }, { "id": 375, "name": "module1" }, { "id": 376, "name": "bar" }, { "id": 377, "name": "lib3" }, { "id": 378, "name": "gi" }, { "id": 379, "name": "d" }, { "id": 380, "name": "core" }, { "id": 381, "name": "holoviews" }, { "id": 382, "name": "logging_setup" }, { "id": 383, "name": "office_helper" }, { "id": 384, "name": "pyproj" }, { "id": 385, "name": "foo" }, { "id": 386, "name": "mod" }, { "id": 387, "name": "ruff" }, { "id": 388, "name": "foo8" }, { "id": 389, "name": "warning" }, { "id": 390, "name": "foo1" }, { "id": 391, "name": "foo12" }, { "id": 392, "name": "j" }, { "id": 393, "name": "package" }, { "id": 394, "name": "other" }, { "id": 395, "name": "line_with_93" }, { "id": 396, "name": "module" }, { "id": 397, "name": "datastructures" }, { "id": 398, "name": "cc" }, { "id": 399, "name": "orjson" }, { "id": 400, "name": "altair" }, { "id": 401, "name": "long_module_name" }, { "id": 402, "name": "foo5" }, { "id": 403, "name": "e" }, { "id": 404, "name": "C" }, { "id": 405, "name": "panel" }, { "id": 406, "name": "foo11" }, { "id": 407, "name": "lib1" }, { "id": 538, "name": "pydantic_settings" }, { "id": 583, "name": "__main__" }, { "id": 620, "name": "networkx" }, { "id": 643, "name": "Crypto" }, { "id": 650, "name": "backports" }, { "id": 932, "name": "tomli" }, { "id": 1196, "name": "mako" }, { "id": 1208, "name": "y" }, { "id": 1259, "name": "Cryptodome" }, { "id": 1378, "name": "msgspec" }, { "id": 1446, "name": "tomli_w" }, { "id": 1800, "name": "unidiff" }, { "id": 2935, "name": "trio" }, { "id": 3861, "name": "k" }, { "id": 3862, "name": "i" }, { "id": 4353, "name": "custom" }, { "id": 4861, "name": "ruff_ecosystem" }, { "id": 5234, "name": "first_party" }, { "id": 5273, "name": "\u03bb\u03bf\u03bf\u03bf\u03bf\u03bf\u03bf\u03bf\u03bf\u03bf\u03bf\u03bf\u03bf\u03bf\u03bf\u03bd\u03b3" }, { "id": 5274, "name": "mediuuuuuuma" }, { "id": 5275, "name": "short" }, { "id": 5276, "name": "shoort" }, { "id": 5277, "name": "loooooooooooooooooooooog" }, { "id": 5278, "name": "mediuuuum" }, { "id": 5279, "name": "\u03bc\u03b5\u03b4\u03b9\u03c5\u03c5\u03c5\u03c5\u03c5\u03bc" }, { "id": 5280, "name": "looooooooooooooooong" }, { "id": 5281, "name": "mediuuuuuuuuuuum" }, { "id": 5282, "name": "loooooooooooooong" }, { "id": 5283, "name": "mediuuuuuumb" }, { "id": 5284, "name": "mediuuuuuum" }, { "id": 5285, "name": "\u03c3\u03b7\u03bf\u03c1\u03c4" }, { "id": 5286, "name": "mediuuuuum" }, { "id": 5287, "name": "looooooooooooooong" }, { "id": 5334, "name": "l" }, { "id": 5335, "name": "m" }, { "id": 5569, "name": "n" } ], "last_checked_revision": "eac67a9464333ea0780376978ecd975d56f32d4e\n" }, { "id": 29, "url": "https://github.com/mlflow/mlflow", "description": "Open source platform for the machine learning lifecycle", "stars": 16149, "source_graph_repo_id": 36559358, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 98, "name": "pytz" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 154, "name": "datasets" }, { "id": 159, "name": "lightning" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 177, "name": "h5py" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 206, "name": "langchain" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 246, "name": "sentence_transformers" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 278, "name": "plotly" }, { "id": 292, "name": "flask" }, { "id": 341, "name": "paramiko" }, { "id": 351, "name": "sphinx" }, { "id": 355, "name": "importlib_metadata" }, { "id": 412, "name": "cloudpickle" }, { "id": 415, "name": "torchtext" }, { "id": 419, "name": "torchmetrics" }, { "id": 426, "name": "lightgbm" }, { "id": 430, "name": "urllib3" }, { "id": 446, "name": "tensorboardX" }, { "id": 452, "name": "onnxruntime" }, { "id": 455, "name": "prettytable" }, { "id": 468, "name": "onnx" }, { "id": 509, "name": "docutils" }, { "id": 526, "name": "onnxmltools" }, { "id": 533, "name": "optuna" }, { "id": 598, "name": "torchdata" }, { "id": 617, "name": "astroid" }, { "id": 630, "name": "pylint" }, { "id": 640, "name": "numba" }, { "id": 667, "name": "sqlparse" }, { "id": 690, "name": "markdown" }, { "id": 713, "name": "paddle" }, { "id": 737, "name": "pip" }, { "id": 754, "name": "librosa" }, { "id": 760, "name": "hyperopt" }, { "id": 787, "name": "mxnet" }, { "id": 791, "name": "shap" }, { "id": 794, "name": "moto" }, { "id": 799, "name": "xgboost" }, { "id": 819, "name": "pyspark" }, { "id": 820, "name": "cuml" }, { "id": 827, "name": "cudf" }, { "id": 838, "name": "captum" }, { "id": 857, "name": "keras" }, { "id": 872, "name": "catboost" }, { "id": 886, "name": "werkzeug" }, { "id": 954, "name": "statsmodels" }, { "id": 1028, "name": "ruamel" }, { "id": 1061, "name": "jwt" }, { "id": 1098, "name": "skl2onnx" }, { "id": 1100, "name": "fastai" }, { "id": 1117, "name": "watchfiles" }, { "id": 1134, "name": "kubernetes" }, { "id": 1326, "name": "sktime" }, { "id": 1328, "name": "pmdarima" }, { "id": 1330, "name": "dbruntime" }, { "id": 1366, "name": "scrapy" }, { "id": 1451, "name": "langchain_experimental" }, { "id": 1526, "name": "py4j" }, { "id": 1624, "name": "tf2onnx" }, { "id": 1905, "name": "ax" }, { "id": 1986, "name": "mlflow_test_plugin" }, { "id": 1987, "name": "databricks_cli" }, { "id": 1988, "name": "requests_auth_aws_sigv4" }, { "id": 1989, "name": "querystring_parser" }, { "id": 1990, "name": "textstat" }, { "id": 1991, "name": "entrypoints" }, { "id": 1992, "name": "prometheus_flask_exporter" }, { "id": 1993, "name": "dummy_package" }, { "id": 1994, "name": "diviner" }, { "id": 1995, "name": "delta" }, { "id": 1996, "name": "dummy_module" }, { "id": 1997, "name": "johnsnowlabs" }, { "id": 1998, "name": "pysftp" }, { "id": 1999, "name": "setfit" }, { "id": 2000, "name": "prophet" }, { "id": 2001, "name": "h2o" }, { "id": 2002, "name": "databricks" }, { "id": 2003, "name": "mleap" }, { "id": 2004, "name": "cycler" }, { "id": 4617, "name": "keras_core" } ], "last_checked_revision": "e4e23c352801c5aa08d4b70883a2eecaa1832b9f\n" }, { "id": 30, "url": "https://github.com/microsoft/unilm", "description": "Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities", "stars": 16765, "source_graph_repo_id": 39294590, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 87, "name": "tokenizers" }, { "id": 94, "name": "clip" }, { "id": 97, "name": "omegaconf" }, { "id": 105, "name": "timm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 130, "name": "safetensors" }, { "id": 135, "name": "pkg_resources" }, { "id": 136, "name": "open_clip" }, { "id": 138, "name": "nltk" }, { "id": 139, "name": "model" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 172, "name": "natsort" }, { "id": 177, "name": "h5py" }, { "id": 180, "name": "apex" }, { "id": 182, "name": "wandb" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 193, "name": "scripts" }, { "id": 200, "name": "models" }, { "id": 218, "name": "lxml" }, { "id": 223, "name": "botocore" }, { "id": 245, "name": "absl" }, { "id": 255, "name": "spacy" }, { "id": 261, "name": "pyarrow" }, { "id": 292, "name": "flask" }, { "id": 373, "name": "tests" }, { "id": 418, "name": "joblib" }, { "id": 419, "name": "torchmetrics" }, { "id": 420, "name": "horovod" }, { "id": 429, "name": "wget" }, { "id": 436, "name": "mpl_toolkits" }, { "id": 439, "name": "torchaudio" }, { "id": 442, "name": "filelock" }, { "id": 445, "name": "pygments" }, { "id": 446, "name": "tensorboardX" }, { "id": 449, "name": "hydra" }, { "id": 455, "name": "prettytable" }, { "id": 456, "name": "fairscale" }, { "id": 461, "name": "ftfy" }, { "id": 464, "name": "fvcore" }, { "id": 469, "name": "termcolor" }, { "id": 471, "name": "shapely" }, { "id": 479, "name": "regex" }, { "id": 482, "name": "pavi" }, { "id": 485, "name": "lmdb" }, { "id": 486, "name": "mmcv" }, { "id": 487, "name": "iopath" }, { "id": 491, "name": "data" }, { "id": 493, "name": "mmseg" }, { "id": 505, "name": "debugpy" }, { "id": 519, "name": "sentencepiece" }, { "id": 534, "name": "torch_xla" }, { "id": 551, "name": "deepspeed" }, { "id": 615, "name": "faiss" }, { "id": 616, "name": "seqeval" }, { "id": 620, "name": "networkx" }, { "id": 657, "name": "pycocotools" }, { "id": 689, "name": "src" }, { "id": 694, "name": "progressbar" }, { "id": 697, "name": "Mykytea" }, { "id": 698, "name": "pydub" }, { "id": 701, "name": "subword_nmt" }, { "id": 704, "name": "cog" }, { "id": 706, "name": "pythainlp" }, { "id": 720, "name": "rouge" }, { "id": 723, "name": "editdistance" }, { "id": 727, "name": "pyrouge" }, { "id": 754, "name": "librosa" }, { "id": 762, "name": "fastBPE" }, { "id": 765, "name": "attr" }, { "id": 772, "name": "config" }, { "id": 798, "name": "fasttext" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 862, "name": "fairseq" }, { "id": 866, "name": "util" }, { "id": 888, "name": "controlnet_aux" }, { "id": 901, "name": "hypothesis" }, { "id": 909, "name": "tornado" }, { "id": 1094, "name": "detectron2" }, { "id": 1189, "name": "genericpath" }, { "id": 1380, "name": "fastchat" }, { "id": 1382, "name": "ffmpeg" }, { "id": 1386, "name": "sacrebleu" }, { "id": 1463, "name": "gevent" }, { "id": 1464, "name": "bitarray" }, { "id": 1496, "name": "accimage" }, { "id": 1501, "name": "MeCab" }, { "id": 1503, "name": "ptvsd" }, { "id": 1505, "name": "sacremoses" }, { "id": 1583, "name": "webdataset" }, { "id": 1585, "name": "braceexpand" }, { "id": 1618, "name": "unidecode" }, { "id": 1805, "name": "kenlm" }, { "id": 1807, "name": "espnet" }, { "id": 1809, "name": "kaldiio" }, { "id": 1813, "name": "pyworld" }, { "id": 1817, "name": "inflect" }, { "id": 1819, "name": "kaldi_io" }, { "id": 1835, "name": "soundfile" }, { "id": 1839, "name": "webrtcvad" }, { "id": 1841, "name": "g2p_en" }, { "id": 1908, "name": "fairseq_cli" }, { "id": 2100, "name": "data_utils" }, { "id": 2120, "name": "tasks" }, { "id": 2179, "name": "lib" }, { "id": 2417, "name": "backbone" }, { "id": 2418, "name": "av" }, { "id": 2419, "name": "bleu" }, { "id": 2420, "name": "meteor" }, { "id": 2421, "name": "wand" }, { "id": 2422, "name": "fastwer" }, { "id": 2423, "name": "pypapi" }, { "id": 2424, "name": "openaivae" }, { "id": 2425, "name": "gossip" }, { "id": 2426, "name": "vmz34" }, { "id": 2427, "name": "metrics" }, { "id": 2428, "name": "nn" }, { "id": 2429, "name": "geventwebsocket" }, { "id": 2430, "name": "vizseq" }, { "id": 2431, "name": "aml" }, { "id": 2432, "name": "ir_datasets" }, { "id": 2433, "name": "pycocoevalcap" }, { "id": 2434, "name": "markuplmft" }, { "id": 2435, "name": "eval_lm" }, { "id": 2436, "name": "generate" }, { "id": 2437, "name": "azureml" }, { "id": 2438, "name": "indicnlp" }, { "id": 2439, "name": "infinibatch" }, { "id": 2440, "name": "anyconfig" }, { "id": 2441, "name": "simuleval" }, { "id": 2442, "name": "xentropy_cuda" }, { "id": 2443, "name": "g2pc" }, { "id": 2444, "name": "dynamicconv_cuda" }, { "id": 2445, "name": "cnndm" }, { "id": 2446, "name": "validate" }, { "id": 2447, "name": "pytorch_pretrained_bert" }, { "id": 2448, "name": "kaldi" }, { "id": 2449, "name": "training" }, { "id": 2450, "name": "biunilm" }, { "id": 2451, "name": "cider" }, { "id": 2452, "name": "flashlight" }, { "id": 2453, "name": "preprocess" }, { "id": 2454, "name": "pytorch_transformers" }, { "id": 2455, "name": "speechproc" }, { "id": 2456, "name": "nlgeval" }, { "id": 2457, "name": "memory_profiler" }, { "id": 2458, "name": "submitit" }, { "id": 2459, "name": "s2s_ft" }, { "id": 2460, "name": "wav2letter" }, { "id": 2461, "name": "torchsnooper" }, { "id": 2462, "name": "nlu_finetune" }, { "id": 2463, "name": "tgt" }, { "id": 2464, "name": "hanziconv" }, { "id": 2465, "name": "mteb" }, { "id": 2466, "name": "interactive" }, { "id": 2467, "name": "videocnn" }, { "id": 2468, "name": "tutel" }, { "id": 2469, "name": "lightconv_cuda" }, { "id": 2470, "name": "npy_append_array" }, { "id": 2471, "name": "trainers" }, { "id": 2472, "name": "sacred" }, { "id": 2473, "name": "Levenshtein" }, { "id": 2474, "name": "cython" }, { "id": 2475, "name": "logger_config" }, { "id": 2476, "name": "dall_e" }, { "id": 2477, "name": "torchscale" }, { "id": 2478, "name": "pytrec_eval" }, { "id": 2479, "name": "phonemizer" }, { "id": 2480, "name": "examples" }, { "id": 2481, "name": "train" }, { "id": 2482, "name": "evaluations" }, { "id": 2483, "name": "palaas" }, { "id": 2484, "name": "mmcv_custom" }, { "id": 2485, "name": "alignment_train_cuda_binding" }, { "id": 2486, "name": "amp_C" }, { "id": 2487, "name": "munch" }, { "id": 2488, "name": "en_core_web_lg" }, { "id": 2489, "name": "pytorch_fid" }, { "id": 2490, "name": "unishox2" }, { "id": 2491, "name": "mmpt" }, { "id": 2492, "name": "gigaword" }, { "id": 2493, "name": "imagenetv2_pytorch" }, { "id": 2494, "name": "dp" }, { "id": 2495, "name": "alignment_train_cpu_binding" }, { "id": 2496, "name": "pyexpat" }, { "id": 4705, "name": "app_utils" }, { "id": 4706, "name": "controlnet" } ], "last_checked_revision": "78b3a48de27c388a0212cfee49fd6dc470c9ecb5\n" }, { "id": 31, "url": "https://github.com/mouredev/Hello-Python", "description": "Curso para aprender el lenguaje de programaci\u00f3n Python desde cero y para principiantes. 75 clases, 37 horas en v\u00eddeo, c\u00f3digo, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...", "stars": 18170, "source_graph_repo_id": 58706198, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 92, "name": "pymongo" }, { "id": 271, "name": "db" }, { "id": 272, "name": "bson" } ], "last_checked_revision": "8ec3f82e1c9acca23ad6c39b68f457bbc5e99fbb\n" }, { "id": 32, "url": "https://github.com/baidu/amis", "description": "\u524d\u7aef\u4f4e\u4ee3\u7801\u6846\u67b6\uff0c\u901a\u8fc7 JSON \u914d\u7f6e\u5c31\u80fd\u751f\u6210\u5404\u79cd\u9875\u9762\u3002", "stars": 15479, "source_graph_repo_id": 38150821, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 44, "name": "chromadb" }, { "id": 77, "name": "dotenv" }, { "id": 118, "name": "gradio" }, { "id": 246, "name": "sentence_transformers" }, { "id": 690, "name": "markdown" } ], "last_checked_revision": "76831e12ef72462f993c9a92cd7213a665090b26\n" }, { "id": 33, "url": "https://github.com/ymcui/Chinese-LLaMA-Alpaca", "description": "\u4e2d\u6587LLaMA&Alpaca\u5927\u8bed\u8a00\u6a21\u578b+\u672c\u5730CPU/GPU\u8bad\u7ec3\u90e8\u7f72 (Chinese LLaMA & Alpaca LLMs)", "stars": 15891, "source_graph_repo_id": 60691736, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 114, "name": "xformers" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 154, "name": "datasets" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 516, "name": "shortuuid" }, { "id": 519, "name": "sentencepiece" } ], "last_checked_revision": "0c920dbe1bc3f6b19ae1b9534b26d3db99baf33d\n" }, { "id": 34, "url": "https://github.com/fauxpilot/fauxpilot", "description": "FauxPilot - an open-source alternative to GitHub Copilot server", "stars": 13684, "source_graph_repo_id": 58690912, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 85, "name": "tritonclient" }, { "id": 86, "name": "sse_starlette" }, { "id": 87, "name": "tokenizers" }, { "id": 88, "name": "pexpect" }, { "id": 89, "name": "triton_python_backend_utils" } ], "last_checked_revision": "788edd44f29b3a3c33136f956c8c20d055604438\n" }, { "id": 35, "url": "https://github.com/tiangolo/full-stack-fastapi-postgresql", "description": "Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.", "stars": 14054, "source_graph_repo_id": 37723565, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 61, "name": "alembic" }, { "id": 62, "name": "app" }, { "id": 63, "name": "raven" }, { "id": 64, "name": "jose" }, { "id": 65, "name": "emails" }, { "id": 66, "name": "celery" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 69, "name": "oyaml" }, { "id": 236, "name": "sqlmodel" } ], "last_checked_revision": "d91ed067a83953dca20783c17cd69394e62726b4\n" }, { "id": 36, "url": "https://github.com/PrefectHQ/prefect", "description": "Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines", "stars": 12890, "source_graph_repo_id": 37910275, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 21, "name": "ujson" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 98, "name": "pytz" }, { "id": 106, "name": "anyio" }, { "id": 115, "name": "packaging" }, { "id": 196, "name": "asyncpg" }, { "id": 215, "name": "cryptography" }, { "id": 303, "name": "my_module" }, { "id": 349, "name": "mock" }, { "id": 355, "name": "importlib_metadata" }, { "id": 399, "name": "orjson" }, { "id": 412, "name": "cloudpickle" }, { "id": 425, "name": "fsspec" }, { "id": 479, "name": "regex" }, { "id": 539, "name": "pydantic_core" }, { "id": 542, "name": "multipart" }, { "id": 544, "name": "email_validator" }, { "id": 546, "name": "mkdocs" }, { "id": 572, "name": "croniter" }, { "id": 574, "name": "websockets" }, { "id": 778, "name": "docker" }, { "id": 794, "name": "moto" }, { "id": 936, "name": "toml" }, { "id": 952, "name": "sniffio" }, { "id": 974, "name": "cachetools" }, { "id": 1028, "name": "ruamel" }, { "id": 1060, "name": "pendulum" }, { "id": 1104, "name": "pathspec" }, { "id": 1117, "name": "watchfiles" }, { "id": 1134, "name": "kubernetes" }, { "id": 1405, "name": "asgi_lifespan" }, { "id": 1437, "name": "respx" }, { "id": 1486, "name": "mkdocs_gen_files" }, { "id": 1529, "name": "pytest_benchmark" }, { "id": 1569, "name": "dateparser" }, { "id": 1846, "name": "coolname" }, { "id": 1892, "name": "graphviz" }, { "id": 1915, "name": "jsonpatch" }, { "id": 2211, "name": "httpcore" }, { "id": 2212, "name": "shared_libs" }, { "id": 2213, "name": "griffe" }, { "id": 2214, "name": "prefect_docker" }, { "id": 2215, "name": "apprise" }, { "id": 2216, "name": "cx_Freeze" }, { "id": 2217, "name": "prefect" }, { "id": 2218, "name": "readchar" }, { "id": 2219, "name": "py2exe" } ], "last_checked_revision": "b9e3578b3dee6c08682093ef766b0173fe50b580\n" }, { "id": 37, "url": "https://github.com/Mikubill/sd-webui-controlnet", "description": "WebUI extension for ControlNet", "stars": 14422, "source_graph_repo_id": 60322364, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 97, "name": "omegaconf" }, { "id": 105, "name": "timm" }, { "id": 107, "name": "ldm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 119, "name": "basicsr" }, { "id": 120, "name": "sgm" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 130, "name": "safetensors" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 182, "name": "wandb" }, { "id": 206, "name": "langchain" }, { "id": 355, "name": "importlib_metadata" }, { "id": 410, "name": "selenium" }, { "id": 443, "name": "mediapipe" }, { "id": 444, "name": "panopticapi" }, { "id": 445, "name": "pygments" }, { "id": 446, "name": "tensorboardX" }, { "id": 447, "name": "svglib" }, { "id": 448, "name": "roslib" }, { "id": 449, "name": "hydra" }, { "id": 450, "name": "reportlab" }, { "id": 451, "name": "mmdet" }, { "id": 452, "name": "onnxruntime" }, { "id": 453, "name": "geffnet" }, { "id": 454, "name": "zoedepth" }, { "id": 455, "name": "prettytable" }, { "id": 456, "name": "fairscale" }, { "id": 457, "name": "launch" }, { "id": 458, "name": "parrots" }, { "id": 459, "name": "petrel_client" }, { "id": 460, "name": "rospy" }, { "id": 461, "name": "ftfy" }, { "id": 462, "name": "yapf" }, { "id": 463, "name": "tifffile" }, { "id": 464, "name": "fvcore" }, { "id": 465, "name": "mc" }, { "id": 466, "name": "cv_bridge" }, { "id": 467, "name": "openvino" }, { "id": 468, "name": "onnx" }, { "id": 469, "name": "termcolor" }, { "id": 470, "name": "midas" }, { "id": 471, "name": "shapely" }, { "id": 472, "name": "kornia" }, { "id": 473, "name": "lvis" }, { "id": 474, "name": "mmpose" }, { "id": 475, "name": "cityscapesscripts" }, { "id": 476, "name": "modules" }, { "id": 477, "name": "webdriver_manager" }, { "id": 478, "name": "std_msgs" }, { "id": 479, "name": "regex" }, { "id": 480, "name": "turbojpeg" }, { "id": 481, "name": "addict" }, { "id": 482, "name": "pavi" }, { "id": 483, "name": "ceph" }, { "id": 484, "name": "torch_tb_profiler" }, { "id": 485, "name": "lmdb" }, { "id": 486, "name": "mmcv" }, { "id": 487, "name": "iopath" }, { "id": 488, "name": "dominate" }, { "id": 489, "name": "sensor_msgs" }, { "id": 490, "name": "imutils" }, { "id": 491, "name": "data" }, { "id": 492, "name": "caffe2" }, { "id": 493, "name": "mmseg" } ], "last_checked_revision": "4cf15d1c9c565b8d0c5f782a89c5a6286dc6e6ff\n" }, { "id": 38, "url": "https://github.com/jina-ai/clip-as-service", "description": "\ud83c\udfc4 Scalable embedding, reasoning, ranking for images and sentences with CLIP", "stars": 12025, "source_graph_repo_id": 37066110, "dependencies": [ { "id": 1, "name": "" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 135, "name": "pkg_resources" }, { "id": 136, "name": "open_clip" }, { "id": 188, "name": "flash_attn" }, { "id": 351, "name": "sphinx" }, { "id": 452, "name": "onnxruntime" }, { "id": 461, "name": "ftfy" }, { "id": 468, "name": "onnx" }, { "id": 479, "name": "regex" }, { "id": 522, "name": "clip_server" }, { "id": 523, "name": "jina" }, { "id": 524, "name": "tensorrt" }, { "id": 525, "name": "cn_clip" }, { "id": 526, "name": "onnxmltools" }, { "id": 527, "name": "clip_client" }, { "id": 528, "name": "docarray" }, { "id": 529, "name": "pillow_avif" }, { "id": 530, "name": "annlite" }, { "id": 531, "name": "opentelemetry" } ], "last_checked_revision": "03410570d4398084f5ca5c88ad968248e0f3fc5d\n" }, { "id": 39, "url": "https://github.com/edgedb/edgedb", "description": "A graph-relational database with declarative schema, built-in migration system, and a next-generation query language", "stars": 11937, "source_graph_repo_id": 36205448, "dependencies": [ { "id": 1, "name": "" }, { "id": 9, "name": "typing_extensions" }, { "id": 18, "name": "setuptools" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 76, "name": "click" }, { "id": 122, "name": "psutil" }, { "id": 196, "name": "asyncpg" }, { "id": 207, "name": "black" }, { "id": 215, "name": "cryptography" }, { "id": 218, "name": "lxml" }, { "id": 351, "name": "sphinx" }, { "id": 445, "name": "pygments" }, { "id": 494, "name": "requests_xml" }, { "id": 495, "name": "Cython" }, { "id": 496, "name": "httptools" }, { "id": 497, "name": "prometheus_client" }, { "id": 498, "name": "coverage" }, { "id": 499, "name": "blib2to3" }, { "id": 500, "name": "graphql" }, { "id": 501, "name": "immutables" }, { "id": 502, "name": "pyflakes" }, { "id": 503, "name": "edgedb" }, { "id": 504, "name": "jwcrypto" }, { "id": 505, "name": "debugpy" }, { "id": 506, "name": "parsing" }, { "id": 507, "name": "setuptools_rust" }, { "id": 508, "name": "setproctitle" }, { "id": 509, "name": "docutils" }, { "id": 510, "name": "flake8" }, { "id": 511, "name": "mypy" }, { "id": 1264, "name": "argon2" }, { "id": 4684, "name": "httpx_cache" }, { "id": 4977, "name": "hishel" } ], "last_checked_revision": "83dda35c8febace47627c147f37bc2463c4ad28c\n" }, { "id": 40, "url": "https://github.com/OpenLMLab/MOSS", "description": "An open-source tool-augmented conversational language model from Fudan University", "stars": 11702, "source_graph_repo_id": 60851709, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 39, "name": "streamlit" }, { "id": 80, "name": "tensorflow" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 157, "name": "triton" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 208, "name": "mdtex2html" }, { "id": 479, "name": "regex" }, { "id": 4187, "name": "jittor" } ], "last_checked_revision": "cb43caf8f662f60c855c70e723b0cb9e943db4c0\n" }, { "id": 41, "url": "https://github.com/mlc-ai/mlc-llm", "description": "Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.", "stars": 14903, "source_graph_repo_id": 60902749, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 105, "name": "timm" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 513, "name": "auto_gptq" }, { "id": 514, "name": "tvm" }, { "id": 515, "name": "tlcpack_sphinx_addon" }, { "id": 516, "name": "shortuuid" }, { "id": 1452, "name": "ipdb" }, { "id": 4222, "name": "mlc_chat" } ], "last_checked_revision": "791b09a1ccfadc169eea407d4dde11812d6807f9\n" }, { "id": 42, "url": "https://github.com/logspace-ai/langflow", "description": "\u26d3\ufe0f Langflow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.", "stars": 13988, "source_graph_repo_id": 60597925, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 43, "name": "pinecone" }, { "id": 44, "name": "chromadb" }, { "id": 48, "name": "supabase" }, { "id": 51, "name": "qdrant_client" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 61, "name": "alembic" }, { "id": 64, "name": "jose" }, { "id": 66, "name": "celery" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 190, "name": "locust" }, { "id": 206, "name": "langchain" }, { "id": 215, "name": "cryptography" }, { "id": 224, "name": "google" }, { "id": 236, "name": "sqlmodel" }, { "id": 259, "name": "asgiref" }, { "id": 399, "name": "orjson" }, { "id": 538, "name": "pydantic_settings" }, { "id": 597, "name": "docstring_parser" }, { "id": 613, "name": "platformdirs" }, { "id": 673, "name": "multiprocess" }, { "id": 974, "name": "cachetools" }, { "id": 1086, "name": "win32api" }, { "id": 1140, "name": "gunicorn" }, { "id": 1451, "name": "langchain_experimental" }, { "id": 1924, "name": "win32con" }, { "id": 2531, "name": "appdirs" }, { "id": 2853, "name": "win32security" }, { "id": 4018, "name": "metal_sdk" }, { "id": 4202, "name": "langflow" }, { "id": 4203, "name": "metaphor_python" }, { "id": 4591, "name": "langfuse" }, { "id": 5226, "name": "langchain_core" }, { "id": 5568, "name": "langchain_community" }, { "id": 5585, "name": "langchain_google_genai" } ], "last_checked_revision": "5e615c0c1404929abde1dcea588335f5ea62e953\n" }, { "id": 43, "url": "https://github.com/jaakkopasanen/AutoEq", "description": "Automatic headphone equalization from frequency responses", "stars": 12080, "source_graph_repo_id": 36549503, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 53, "name": "PyPDF2" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 410, "name": "selenium" }, { "id": 633, "name": "rapidfuzz" }, { "id": 808, "name": "ipywidgets" }, { "id": 1835, "name": "soundfile" }, { "id": 2544, "name": "ghostscript" } ], "last_checked_revision": "3d2a902942c92ea673063d729cf7b0809615894b\n" }, { "id": 44, "url": "https://github.com/TransformerOptimus/SuperAGI", "description": "<\u26a1\ufe0f> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.", "stars": 13409, "source_graph_repo_id": 61010203, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 43, "name": "pinecone" }, { "id": 44, "name": "chromadb" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 51, "name": "qdrant_client" }, { "id": 53, "name": "PyPDF2" }, { "id": 56, "name": "redis" }, { "id": 57, "name": "llama_index" }, { "id": 61, "name": "alembic" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 98, "name": "pytz" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 209, "name": "requests_html" }, { "id": 210, "name": "slack_sdk" }, { "id": 211, "name": "requests_oauthlib" }, { "id": 212, "name": "duckduckgo_search" }, { "id": 213, "name": "fastapi_sqlalchemy" }, { "id": 214, "name": "json5" }, { "id": 215, "name": "cryptography" }, { "id": 216, "name": "newspaper" }, { "id": 217, "name": "confluent_kafka" }, { "id": 218, "name": "lxml" }, { "id": 219, "name": "fastapi_jwt_auth" }, { "id": 220, "name": "jsonmerge" }, { "id": 221, "name": "distlib" }, { "id": 222, "name": "jira" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 225, "name": "google_auth_oauthlib" }, { "id": 226, "name": "googleapiclient" }, { "id": 896, "name": "llama_cpp" }, { "id": 946, "name": "pytest_mock" }, { "id": 1045, "name": "chardet" }, { "id": 1072, "name": "unstructured" }, { "id": 4057, "name": "ebooklib" } ], "last_checked_revision": "73e3c93937687a891cf02dd90b2c32dcc05a0150\n" }, { "id": 45, "url": "https://github.com/vercel/vercel", "description": "Develop. Preview. Ship.", "stars": 11676, "source_graph_repo_id": 566489, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 38, "name": "pydantic" }, { "id": 147, "name": "sanic" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 886, "name": "werkzeug" }, { "id": 937, "name": "invoke" }, { "id": 1510, "name": "livereload" }, { "id": 1875, "name": "cowpy" }, { "id": 1876, "name": "pelican" } ], "last_checked_revision": "fbe08fe57eededc0bcd2409692b23d185c70069d\n" }, { "id": 46, "url": "https://github.com/reflex-dev/reflex", "description": "\ud83d\udd78 Web apps in pure Python \ud83d\udc0d", "stars": 14524, "source_graph_repo_id": 59434622, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 60, "name": "psycopg2" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 156, "name": "tabulate" }, { "id": 207, "name": "black" }, { "id": 236, "name": "sqlmodel" }, { "id": 278, "name": "plotly" }, { "id": 335, "name": "_typeshed" }, { "id": 355, "name": "importlib_metadata" }, { "id": 408, "name": "socketio" }, { "id": 409, "name": "watchdog" }, { "id": 410, "name": "selenium" }, { "id": 411, "name": "starlette_admin" }, { "id": 412, "name": "cloudpickle" }, { "id": 413, "name": "asynctest" }, { "id": 574, "name": "websockets" }, { "id": 613, "name": "platformdirs" }, { "id": 1459, "name": "wrapt" }, { "id": 2599, "name": "pyvirtualdisplay" }, { "id": 3053, "name": "distro" }, { "id": 4488, "name": "charset_normalizer" }, { "id": 5288, "name": "reflex_cli" } ], "last_checked_revision": "accaf6dc528db25a420e8d76de5d8839854b8dad\n" }, { "id": 47, "url": "https://github.com/THUDM/ChatGLM2-6B", "description": "ChatGLM2-6B: An Open Bilingual Chat LLM | \u5f00\u6e90\u53cc\u8bed\u5bf9\u8bdd\u8bed\u8a00\u6a21\u578b", "stars": 14773, "source_graph_repo_id": 61242836, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 86, "name": "sse_starlette" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 149, "name": "jieba" }, { "id": 154, "name": "datasets" }, { "id": 166, "name": "rouge_chinese" }, { "id": 189, "name": "accelerate" }, { "id": 208, "name": "mdtex2html" } ], "last_checked_revision": "921d7e9adc69020a19169d1ba4f76c2675a2dd29\n" }, { "id": 48, "url": "https://github.com/blackmatrix7/ios_rule_script", "description": "\u5206\u6d41\u89c4\u5219\u3001\u91cd\u5199\u5199\u89c4\u5219\u53ca\u811a\u672c\u3002", "stars": 13338, "source_graph_repo_id": 41447777, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 29, "name": "aiohttp" } ], "last_checked_revision": "324565dc7f188e33a94befb0ec46576f303edced\n" }, { "id": 49, "url": "https://github.com/tiangolo/sqlmodel", "description": "SQL databases in Python, designed for simplicity, compatibility, and robustness.", "stars": 11878, "source_graph_repo_id": 55636527, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 207, "name": "black" }, { "id": 539, "name": "pydantic_core" }, { "id": 546, "name": "mkdocs" }, { "id": 549, "name": "dirty_equals" } ], "last_checked_revision": "fe497adf0c0793c9a88cf2cfef125b6bdd498851\n" }, { "id": 50, "url": "https://github.com/deepset-ai/haystack", "description": ":mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.", "stars": 11672, "source_graph_repo_id": 39889517, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 5, "name": "mlflow" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 59, "name": "elasticsearch" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 87, "name": "tokenizers" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 154, "name": "datasets" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 223, "name": "botocore" }, { "id": 226, "name": "googleapiclient" }, { "id": 246, "name": "sentence_transformers" }, { "id": 264, "name": "sseclient" }, { "id": 410, "name": "selenium" }, { "id": 452, "name": "onnxruntime" }, { "id": 477, "name": "webdriver_manager" }, { "id": 609, "name": "rank_bm25" }, { "id": 610, "name": "boilerpy3" }, { "id": 611, "name": "fitz" }, { "id": 612, "name": "pytesseract" }, { "id": 613, "name": "platformdirs" }, { "id": 614, "name": "canals" }, { "id": 615, "name": "faiss" }, { "id": 616, "name": "seqeval" }, { "id": 617, "name": "astroid" }, { "id": 618, "name": "beir" }, { "id": 619, "name": "prompthub" }, { "id": 620, "name": "networkx" }, { "id": 621, "name": "elastic_transport" }, { "id": 622, "name": "pydoc_markdown" }, { "id": 623, "name": "more_itertools" }, { "id": 624, "name": "docspec" }, { "id": 625, "name": "onnxruntime_tools" }, { "id": 626, "name": "quantulum3" }, { "id": 627, "name": "langdetect" }, { "id": 628, "name": "magic" }, { "id": 629, "name": "frontmatter" }, { "id": 630, "name": "pylint" }, { "id": 631, "name": "responses" }, { "id": 632, "name": "posthog" }, { "id": 633, "name": "rapidfuzz" }, { "id": 634, "name": "events" }, { "id": 635, "name": "requests_cache" }, { "id": 636, "name": "opensearchpy" }, { "id": 637, "name": "datadog" }, { "id": 638, "name": "pygraphviz" }, { "id": 639, "name": "whisper" }, { "id": 640, "name": "numba" }, { "id": 903, "name": "cohere" }, { "id": 2032, "name": "markdown_it" }, { "id": 2331, "name": "pypdf" }, { "id": 3368, "name": "jsonref" }, { "id": 4938, "name": "mdit_plain" }, { "id": 5267, "name": "sample_components" }, { "id": 5625, "name": "haystack_bm25" }, { "id": 5668, "name": "openapi3" } ], "last_checked_revision": "d61ac9e6ae4463edbb24c0ed69858cf2dc2b31ea\n" }, { "id": 51, "url": "https://github.com/PaddlePaddle/PaddleNLP", "description": "\ud83d\udc51 Easy-to-use and powerful NLP and LLM library with \ud83e\udd17 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including \ud83d\uddc2Text Classification, \ud83d\udd0d Neural Search, \u2753 Question Answering, \u2139\ufe0f Information Extraction, \ud83d\udcc4 Document Intelligence, \ud83d\udc8c Sentiment Analysis etc.", "stars": 10755, "source_graph_repo_id": 42982149, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 50, "name": "tiktoken" }, { "id": 54, "name": "loguru" }, { "id": 58, "name": "pymilvus" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 78, "name": "imageio" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 85, "name": "tritonclient" }, { "id": 86, "name": "sse_starlette" }, { "id": 87, "name": "tokenizers" }, { "id": 89, "name": "triton_python_backend_utils" }, { "id": 96, "name": "rich" }, { "id": 97, "name": "omegaconf" }, { "id": 107, "name": "ldm" }, { "id": 111, "name": "einops" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 119, "name": "basicsr" }, { "id": 121, "name": "lark" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 139, "name": "model" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 143, "name": "academictorrents" }, { "id": 149, "name": "jieba" }, { "id": 152, "name": "rouge_score" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 174, "name": "albumentations" }, { "id": 177, "name": "h5py" }, { "id": 178, "name": "peft" }, { "id": 182, "name": "wandb" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 200, "name": "models" }, { "id": 224, "name": "google" }, { "id": 227, "name": "websocket" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 264, "name": "sseclient" }, { "id": 290, "name": "requests_mock" }, { "id": 292, "name": "flask" }, { "id": 335, "name": "_typeshed" }, { "id": 355, "name": "importlib_metadata" }, { "id": 414, "name": "GPUtil" }, { "id": 429, "name": "wget" }, { "id": 442, "name": "filelock" }, { "id": 446, "name": "tensorboardX" }, { "id": 452, "name": "onnxruntime" }, { "id": 461, "name": "ftfy" }, { "id": 468, "name": "onnx" }, { "id": 469, "name": "termcolor" }, { "id": 479, "name": "regex" }, { "id": 491, "name": "data" }, { "id": 508, "name": "setproctitle" }, { "id": 519, "name": "sentencepiece" }, { "id": 521, "name": "jsonlines" }, { "id": 560, "name": "llama" }, { "id": 610, "name": "boilerpy3" }, { "id": 611, "name": "fitz" }, { "id": 615, "name": "faiss" }, { "id": 616, "name": "seqeval" }, { "id": 617, "name": "astroid" }, { "id": 618, "name": "beir" }, { "id": 620, "name": "networkx" }, { "id": 623, "name": "more_itertools" }, { "id": 627, "name": "langdetect" }, { "id": 630, "name": "pylint" }, { "id": 634, "name": "events" }, { "id": 640, "name": "numba" }, { "id": 648, "name": "pyaudio" }, { "id": 649, "name": "pgl" }, { "id": 650, "name": "backports" }, { "id": 651, "name": "run_squad" }, { "id": 652, "name": "LAC" }, { "id": 653, "name": "onnxconverter_common" }, { "id": 654, "name": "_jsonnet" }, { "id": 655, "name": "annotator" }, { "id": 656, "name": "uie" }, { "id": 657, "name": "pycocotools" }, { "id": 658, "name": "reprod_log" }, { "id": 659, "name": "easydict" }, { "id": 660, "name": "colorlog" }, { "id": 661, "name": "paddleseg" }, { "id": 662, "name": "paddleslim" }, { "id": 663, "name": "paddle2onnx" }, { "id": 664, "name": "ipadic" }, { "id": 665, "name": "simnet" }, { "id": 666, "name": "predict_glue" }, { "id": 667, "name": "sqlparse" }, { "id": 668, "name": "roberta" }, { "id": 669, "name": "ann_util" }, { "id": 670, "name": "visualdl" }, { "id": 671, "name": "configuration" }, { "id": 672, "name": "export_generation" }, { "id": 673, "name": "multiprocess" }, { "id": 674, "name": "task" }, { "id": 675, "name": "modeling" }, { "id": 676, "name": "dataset" }, { "id": 677, "name": "fugashi" }, { "id": 678, "name": "trustai" }, { "id": 679, "name": "pypinyin" }, { "id": 680, "name": "note_seq" }, { "id": 681, "name": "ppfleetx_ops" }, { "id": 682, "name": "cn2an" }, { "id": 683, "name": "tls" }, { "id": 684, "name": "sahi" }, { "id": 685, "name": "run_glue_trainer" }, { "id": 686, "name": "t5_dataset" }, { "id": 687, "name": "milvus" }, { "id": 688, "name": "export_glue" }, { "id": 689, "name": "src" }, { "id": 690, "name": "markdown" }, { "id": 691, "name": "pdfplumber" }, { "id": 692, "name": "wordcloud" }, { "id": 693, "name": "model_interpretation" }, { "id": 694, "name": "progressbar" }, { "id": 695, "name": "tensorflow_text" }, { "id": 696, "name": "reader" }, { "id": 697, "name": "Mykytea" }, { "id": 698, "name": "pydub" }, { "id": 699, "name": "predict_generation" }, { "id": 700, "name": "predict" }, { "id": 701, "name": "subword_nmt" }, { "id": 702, "name": "text2sql" }, { "id": 703, "name": "data_util" }, { "id": 704, "name": "cog" }, { "id": 705, "name": "saliency_map" }, { "id": 706, "name": "pythainlp" }, { "id": 707, "name": "data_tools" }, { "id": 708, "name": "pyrsistent" }, { "id": 709, "name": "baidubce" }, { "id": 710, "name": "readers" }, { "id": 711, "name": "modeling_pp" }, { "id": 712, "name": "mmh3" }, { "id": 713, "name": "paddle" }, { "id": 714, "name": "paddlehub" }, { "id": 715, "name": "milvus_util" }, { "id": 716, "name": "attrdict" }, { "id": 717, "name": "base_model" }, { "id": 718, "name": "layoutlmft" }, { "id": 719, "name": "_io" }, { "id": 720, "name": "rouge" }, { "id": 721, "name": "paddleocr" }, { "id": 722, "name": "pdf2image" }, { "id": 723, "name": "editdistance" }, { "id": 724, "name": "tool_helpers" }, { "id": 725, "name": "args" }, { "id": 726, "name": "run_msra_ner" }, { "id": 727, "name": "pyrouge" }, { "id": 728, "name": "rnn" }, { "id": 729, "name": "infer_generation" }, { "id": 730, "name": "auto_log" }, { "id": 731, "name": "annotated_text" }, { "id": 732, "name": "zstandard" }, { "id": 733, "name": "paddle_serving_client" }, { "id": 734, "name": "pymysql" }, { "id": 735, "name": "ligo" }, { "id": 736, "name": "run_pretrain" }, { "id": 737, "name": "pip" }, { "id": 738, "name": "paddle_serving_server_gpu" }, { "id": 739, "name": "finetune_generation" }, { "id": 740, "name": "boomup" }, { "id": 741, "name": "gensim" }, { "id": 742, "name": "hnswlib" }, { "id": 743, "name": "parameterized" }, { "id": 744, "name": "paddle_serving_server" }, { "id": 745, "name": "metric" }, { "id": 746, "name": "run_pretrain_trainer" }, { "id": 747, "name": "export_model" }, { "id": 748, "name": "deploy" }, { "id": 749, "name": "run_glue" }, { "id": 750, "name": "ui" }, { "id": 751, "name": "fastdeploy" }, { "id": 752, "name": "asdl" }, { "id": 753, "name": "nvgpu" }, { "id": 754, "name": "librosa" }, { "id": 755, "name": "_locale" }, { "id": 756, "name": "run_classifier" }, { "id": 757, "name": "fastcore" }, { "id": 758, "name": "tokenizer" }, { "id": 759, "name": "progress" }, { "id": 760, "name": "hyperopt" }, { "id": 761, "name": "LIME" }, { "id": 762, "name": "fastBPE" }, { "id": 763, "name": "unidic_lite" }, { "id": 764, "name": "unidic" }, { "id": 765, "name": "attr" }, { "id": 766, "name": "rest_api" }, { "id": 767, "name": "fused_ln" }, { "id": 768, "name": "tokenizers_pegasus" }, { "id": 769, "name": "run_generation" }, { "id": 770, "name": "run_finetune" }, { "id": 771, "name": "ppfleetx" }, { "id": 772, "name": "config" }, { "id": 2331, "name": "pypdf" }, { "id": 2465, "name": "mteb" }, { "id": 4068, "name": "arxiv" }, { "id": 4339, "name": "scipdf" }, { "id": 4352, "name": "paddlenlp_ops" }, { "id": 4442, "name": "erniebot" }, { "id": 4475, "name": "predictor" }, { "id": 4620, "name": "merge_lora_params" }, { "id": 4756, "name": "aistudio_sdk" }, { "id": 4863, "name": "fused_layers" }, { "id": 5316, "name": "paddleslim_ops" }, { "id": 5682, "name": "register_reshard" }, { "id": 5701, "name": "lr" } ], "last_checked_revision": "34b381ecd080c1bb1c03520a315cac461842bc84\n" }, { "id": 52, "url": "https://github.com/w-okada/voice-changer", "description": "\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u30dc\u30a4\u30b9\u30c1\u30a7\u30f3\u30b8\u30e3\u30fc Realtime Voice Changer", "stars": 13343, "source_graph_repo_id": 58922967, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 111, "name": "einops" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 194, "name": "logger" }, { "id": 200, "name": "models" }, { "id": 214, "name": "json5" }, { "id": 408, "name": "socketio" }, { "id": 425, "name": "fsspec" }, { "id": 430, "name": "urllib3" }, { "id": 439, "name": "torchaudio" }, { "id": 452, "name": "onnxruntime" }, { "id": 468, "name": "onnx" }, { "id": 491, "name": "data" }, { "id": 615, "name": "faiss" }, { "id": 648, "name": "pyaudio" }, { "id": 754, "name": "librosa" }, { "id": 862, "name": "fairseq" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1382, "name": "ffmpeg" }, { "id": 1813, "name": "pyworld" }, { "id": 1835, "name": "soundfile" }, { "id": 1838, "name": "resampy" }, { "id": 2093, "name": "gin" }, { "id": 2360, "name": "features" }, { "id": 2741, "name": "parselmouth" }, { "id": 2994, "name": "onnxsim" }, { "id": 3657, "name": "encoder" }, { "id": 3662, "name": "sounddevice" }, { "id": 3863, "name": "voice_changer" }, { "id": 3864, "name": "transformer_f0" }, { "id": 3865, "name": "downloader" }, { "id": 3866, "name": "const" }, { "id": 3867, "name": "mods" }, { "id": 3868, "name": "sio" }, { "id": 3869, "name": "local_attention" }, { "id": 3870, "name": "Exceptions" }, { "id": 3871, "name": "restapi" }, { "id": 3872, "name": "fast_transformers" }, { "id": 3873, "name": "torchcrepe" } ], "last_checked_revision": "03caf942b29a04d0bf8465741d8c54ee71905f76\n" }, { "id": 53, "url": "https://github.com/ludwig-ai/ludwig", "description": "Low-code framework for building custom LLMs, neural networks, and other AI models", "stars": 10339, "source_graph_repo_id": 37625913, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 5, "name": "mlflow" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 72, "name": "jsonschema" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 178, "name": "peft" }, { "id": 185, "name": "huggingface_hub" }, { "id": 186, "name": "seaborn" }, { "id": 229, "name": "retry" }, { "id": 246, "name": "sentence_transformers" }, { "id": 255, "name": "spacy" }, { "id": 261, "name": "pyarrow" }, { "id": 370, "name": "dask" }, { "id": 412, "name": "cloudpickle" }, { "id": 414, "name": "GPUtil" }, { "id": 415, "name": "torchtext" }, { "id": 416, "name": "ptitprince" }, { "id": 417, "name": "xgboost_ray" }, { "id": 418, "name": "joblib" }, { "id": 419, "name": "torchmetrics" }, { "id": 420, "name": "horovod" }, { "id": 421, "name": "dataclasses_json" }, { "id": 422, "name": "gpustat" }, { "id": 423, "name": "marshmallow_jsonschema" }, { "id": 424, "name": "aim" }, { "id": 425, "name": "fsspec" }, { "id": 426, "name": "lightgbm" }, { "id": 427, "name": "daft" }, { "id": 428, "name": "marshmallow" }, { "id": 429, "name": "wget" }, { "id": 430, "name": "urllib3" }, { "id": 431, "name": "comet_ml" }, { "id": 432, "name": "torchinfo" }, { "id": 433, "name": "neuropod" }, { "id": 434, "name": "hiplot" }, { "id": 435, "name": "hummingbird" }, { "id": 436, "name": "mpl_toolkits" }, { "id": 437, "name": "modin" }, { "id": 438, "name": "cpuinfo" }, { "id": 439, "name": "torchaudio" }, { "id": 440, "name": "marshmallow_dataclass" }, { "id": 441, "name": "lightgbm_ray" }, { "id": 442, "name": "filelock" }, { "id": 463, "name": "tifffile" }, { "id": 468, "name": "onnx" }, { "id": 4782, "name": "predibase" } ], "last_checked_revision": "7e34450188f1265e6cd9cbda600dc0a605627099\n" }, { "id": 54, "url": "https://github.com/laramies/theHarvester", "description": "E-mails, subdomains and names Harvester - OSINT ", "stars": 9702, "source_graph_repo_id": 13615, "dependencies": [ { "id": 1, "name": "" }, { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 20, "name": "pyppeteer" }, { "id": 21, "name": "ujson" }, { "id": 22, "name": "bs4" }, { "id": 23, "name": "aiosqlite" }, { "id": 24, "name": "netaddr" }, { "id": 25, "name": "shodan" }, { "id": 26, "name": "dateutil" }, { "id": 27, "name": "aiodns" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 32, "name": "aiomultiprocess" }, { "id": 33, "name": "censys" }, { "id": 34, "name": "uvicorn" }, { "id": 35, "name": "slowapi" }, { "id": 36, "name": "uvloop" } ], "last_checked_revision": "70c85876526315cf7e7bffa52baa63859298c415\n" }, { "id": 55, "url": "https://github.com/OpenMined/PySyft", "description": "Perform data science on data that remains in someone else's server", "stars": 9055, "source_graph_repo_id": 1357839, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 161, "name": "matplotlib" }, { "id": 223, "name": "botocore" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 272, "name": "bson" }, { "id": 292, "name": "flask" }, { "id": 319, "name": "kombu" }, { "id": 418, "name": "joblib" }, { "id": 430, "name": "urllib3" }, { "id": 531, "name": "opentelemetry" }, { "id": 620, "name": "networkx" }, { "id": 778, "name": "docker" }, { "id": 812, "name": "faker" }, { "id": 849, "name": "jax" }, { "id": 1092, "name": "jaxlib" }, { "id": 1142, "name": "typeguard" }, { "id": 1264, "name": "argon2" }, { "id": 1361, "name": "nacl" }, { "id": 1377, "name": "zmq" }, { "id": 1413, "name": "bcrypt" }, { "id": 1463, "name": "gevent" }, { "id": 1467, "name": "forbiddenfruit" }, { "id": 1877, "name": "syft" }, { "id": 1878, "name": "pytest_mock_resources" }, { "id": 1879, "name": "ascii_magic" }, { "id": 1880, "name": "flask_executor" }, { "id": 1881, "name": "virtualenvapi" }, { "id": 1882, "name": "itables" }, { "id": 1883, "name": "gipc" }, { "id": 1884, "name": "result" }, { "id": 1885, "name": "hagrid" }, { "id": 1886, "name": "oblv_ctl" }, { "id": 1887, "name": "RestrictedPython" }, { "id": 1888, "name": "sherlock" }, { "id": 1889, "name": "flask_shell2http" }, { "id": 1890, "name": "grid" }, { "id": 3164, "name": "cli" }, { "id": 4351, "name": "syftcli" } ], "last_checked_revision": "ee3031e9158b7f3546d81299c5748b6cd0bb848b\n" }, { "id": 56, "url": "https://github.com/aws/amazon-sagemaker-examples", "description": "Example \ud83d\udcd3 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using \ud83e\udde0 Amazon SageMaker. ", "stars": 9147, "source_graph_repo_id": 35715439, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 49, "name": "grpc" }, { "id": 71, "name": "cv2" }, { "id": 73, "name": "jinja2" }, { "id": 78, "name": "imageio" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 89, "name": "triton_python_backend_utils" }, { "id": 97, "name": "omegaconf" }, { "id": 105, "name": "timm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 138, "name": "nltk" }, { "id": 139, "name": "model" }, { "id": 140, "name": "scipy" }, { "id": 144, "name": "megatron" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 177, "name": "h5py" }, { "id": 185, "name": "huggingface_hub" }, { "id": 186, "name": "seaborn" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 206, "name": "langchain" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 228, "name": "bertopic" }, { "id": 246, "name": "sentence_transformers" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 292, "name": "flask" }, { "id": 349, "name": "mock" }, { "id": 370, "name": "dask" }, { "id": 393, "name": "package" }, { "id": 418, "name": "joblib" }, { "id": 420, "name": "horovod" }, { "id": 455, "name": "prettytable" }, { "id": 461, "name": "ftfy" }, { "id": 468, "name": "onnx" }, { "id": 491, "name": "data" }, { "id": 535, "name": "smdistributed" }, { "id": 536, "name": "streamlit_chat" }, { "id": 551, "name": "deepspeed" }, { "id": 562, "name": "gym" }, { "id": 565, "name": "s3fs" }, { "id": 605, "name": "mpi4py" }, { "id": 607, "name": "tensorboard" }, { "id": 620, "name": "networkx" }, { "id": 675, "name": "modeling" }, { "id": 676, "name": "dataset" }, { "id": 689, "name": "src" }, { "id": 737, "name": "pip" }, { "id": 772, "name": "config" }, { "id": 773, "name": "MLWorkflow" }, { "id": 774, "name": "labeling_job_state_change" }, { "id": 775, "name": "aws_requests_auth" }, { "id": 776, "name": "rl_coach" }, { "id": 777, "name": "eppy" }, { "id": 778, "name": "docker" }, { "id": 779, "name": "autogluon" }, { "id": 780, "name": "mo" }, { "id": 781, "name": "greengrasssdk" }, { "id": 782, "name": "sagemaker_inference" }, { "id": 783, "name": "sagemaker_rl" }, { "id": 784, "name": "gluonts" }, { "id": 785, "name": "transformers_neuronx" }, { "id": 786, "name": "ActiveLearning" }, { "id": 787, "name": "mxnet" }, { "id": 788, "name": "papermill" }, { "id": 789, "name": "api_batch_create" }, { "id": 790, "name": "Labeling" }, { "id": 791, "name": "shap" }, { "id": 792, "name": "smdebug" }, { "id": 793, "name": "step_functions_send_second_level_sns_and_check_response" }, { "id": 794, "name": "moto" }, { "id": 795, "name": "awscli" }, { "id": 796, "name": "pygame" }, { "id": 797, "name": "agent_pb2" }, { "id": 798, "name": "fasttext" }, { "id": 799, "name": "xgboost" }, { "id": 800, "name": "tensorpack" }, { "id": 801, "name": "dgl" }, { "id": 802, "name": "xmltodict" }, { "id": 803, "name": "test_shared" }, { "id": 804, "name": "cupy" }, { "id": 805, "name": "aitemplate" }, { "id": 806, "name": "roboschool" }, { "id": 807, "name": "s3_helper" }, { "id": 808, "name": "ipywidgets" }, { "id": 809, "name": "sagemaker_xgboost_container" }, { "id": 810, "name": "sagemaker_containers" }, { "id": 811, "name": "argh" }, { "id": 812, "name": "faker" }, { "id": 813, "name": "chalice" }, { "id": 814, "name": "eplus" }, { "id": 815, "name": "dask_cudf" }, { "id": 816, "name": "Bootstrap" }, { "id": 817, "name": "causalnex" }, { "id": 818, "name": "mlagents_envs" }, { "id": 819, "name": "pyspark" }, { "id": 820, "name": "cuml" }, { "id": 821, "name": "awscam" }, { "id": 822, "name": "py3nvml" }, { "id": 823, "name": "pyvis" }, { "id": 824, "name": "bokeh" }, { "id": 825, "name": "torch_neuronx" }, { "id": 826, "name": "retrying" }, { "id": 827, "name": "cudf" }, { "id": 828, "name": "multiprocessing_train" }, { "id": 829, "name": "step_functions_batch_error" }, { "id": 830, "name": "smjsindustry" }, { "id": 831, "name": "my_custom_library" }, { "id": 832, "name": "orchestrator" }, { "id": 833, "name": "api_batch_show" }, { "id": 834, "name": "sagemaker_pytorch_serving_container" }, { "id": 835, "name": "rl_operations_research_baselines" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 837, "name": "shared" }, { "id": 838, "name": "captum" }, { "id": 839, "name": "MetaData" }, { "id": 840, "name": "neopytorch" }, { "id": 841, "name": "djl_python" }, { "id": 842, "name": "torcheia" }, { "id": 843, "name": "gluoncv" }, { "id": 844, "name": "torch_neuron" }, { "id": 845, "name": "stable_baselines" }, { "id": 846, "name": "segment_anything" }, { "id": 847, "name": "awswrangler" }, { "id": 848, "name": "tensorflow_addons" }, { "id": 849, "name": "jax" }, { "id": 850, "name": "neomx" }, { "id": 851, "name": "gym_unity" }, { "id": 852, "name": "sagemaker_training" }, { "id": 853, "name": "smexperiments" }, { "id": 854, "name": "step_functions_copy_logs_and_send_batch_completed" }, { "id": 855, "name": "saicinpainting" }, { "id": 856, "name": "agent_pb2_grpc" }, { "id": 857, "name": "keras" }, { "id": 858, "name": "string_helper" }, { "id": 859, "name": "gluonnlp" }, { "id": 860, "name": "ts" }, { "id": 861, "name": "awsglue" }, { "id": 862, "name": "fairseq" }, { "id": 863, "name": "trax" }, { "id": 864, "name": "trainer" }, { "id": 865, "name": "pipelines" }, { "id": 866, "name": "util" }, { "id": 867, "name": "eval" }, { "id": 868, "name": "sagemaker" }, { "id": 869, "name": "sagemaker_tensorflow" }, { "id": 870, "name": "Output" }, { "id": 871, "name": "dask_ml" }, { "id": 872, "name": "catboost" }, { "id": 873, "name": "dask_cuda" }, { "id": 3850, "name": "nemo" }, { "id": 5268, "name": "benchmarking" }, { "id": 5311, "name": "smart_sifting" }, { "id": 5677, "name": "smpv1" }, { "id": 5678, "name": "awsio" }, { "id": 5679, "name": "logging_utils" } ], "last_checked_revision": "c7320a15c510c79ae0550ed8702e3fd88e0732ca\n" }, { "id": 57, "url": "https://github.com/messense/aliyundrive-webdav", "description": "\u963f\u91cc\u4e91\u76d8 WebDAV \u670d\u52a1", "stars": 9107, "source_graph_repo_id": 55611101, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" } ], "last_checked_revision": "487d82ea0d3fc632b1715d09914643d212e565fd\n" }, { "id": 58, "url": "https://github.com/grafana/pyroscope", "description": "Continuous Profiling Platform. Debug performance issues down to a single line of code", "stars": 8952, "source_graph_repo_id": 42843573, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 1256, "name": "rest_framework" }, { "id": 1814, "name": "utility" }, { "id": 2179, "name": "lib" }, { "id": 3028, "name": "mprofile" }, { "id": 3029, "name": "pypprof" }, { "id": 3030, "name": "ride_share" }, { "id": 3031, "name": "pyroscope" } ], "last_checked_revision": "cabb3d2d87195d829e1a169e08777a2e3c7c2c27\n" }, { "id": 59, "url": "https://github.com/PaddlePaddle/PaddleSpeech", "description": "Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.", "stars": 9442, "source_graph_repo_id": 35683748, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 58, "name": "pymilvus" }, { "id": 82, "name": "PIL" }, { "id": 85, "name": "tritonclient" }, { "id": 89, "name": "triton_python_backend_utils" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 181, "name": "zhon" }, { "id": 227, "name": "websocket" }, { "id": 349, "name": "mock" }, { "id": 429, "name": "wget" }, { "id": 439, "name": "torchaudio" }, { "id": 452, "name": "onnxruntime" }, { "id": 455, "name": "prettytable" }, { "id": 495, "name": "Cython" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 519, "name": "sentencepiece" }, { "id": 521, "name": "jsonlines" }, { "id": 574, "name": "websockets" }, { "id": 615, "name": "faiss" }, { "id": 640, "name": "numba" }, { "id": 648, "name": "pyaudio" }, { "id": 660, "name": "colorlog" }, { "id": 662, "name": "paddleslim" }, { "id": 670, "name": "visualdl" }, { "id": 679, "name": "pypinyin" }, { "id": 689, "name": "src" }, { "id": 698, "name": "pydub" }, { "id": 713, "name": "paddle" }, { "id": 721, "name": "paddleocr" }, { "id": 723, "name": "editdistance" }, { "id": 730, "name": "auto_log" }, { "id": 734, "name": "pymysql" }, { "id": 737, "name": "pip" }, { "id": 743, "name": "parameterized" }, { "id": 754, "name": "librosa" }, { "id": 755, "name": "_locale" }, { "id": 772, "name": "config" }, { "id": 802, "name": "xmltodict" }, { "id": 1073, "name": "diskcache" }, { "id": 1083, "name": "aiofiles" }, { "id": 1107, "name": "msgpack" }, { "id": 1142, "name": "typeguard" }, { "id": 1347, "name": "recommonmark" }, { "id": 1386, "name": "sacrebleu" }, { "id": 1585, "name": "braceexpand" }, { "id": 1805, "name": "kenlm" }, { "id": 1806, "name": "logs" }, { "id": 1807, "name": "espnet" }, { "id": 1808, "name": "sampler" }, { "id": 1809, "name": "kaldiio" }, { "id": 1810, "name": "nara_wpe" }, { "id": 1811, "name": "paddlelite" }, { "id": 1812, "name": "keyboard" }, { "id": 1813, "name": "pyworld" }, { "id": 1814, "name": "utility" }, { "id": 1815, "name": "paddleaudio" }, { "id": 1816, "name": "pattern_singleton" }, { "id": 1817, "name": "inflect" }, { "id": 1818, "name": "praatio" }, { "id": 1819, "name": "kaldi_io" }, { "id": 1820, "name": "pypinyin_dict" }, { "id": 1821, "name": "pathos" }, { "id": 1822, "name": "yacs" }, { "id": 1823, "name": "g2pM" }, { "id": 1824, "name": "configargparse" }, { "id": 1825, "name": "soxbindings" }, { "id": 1826, "name": "hyperpyyaml" }, { "id": 1827, "name": "ToJyutping" }, { "id": 1828, "name": "timer" }, { "id": 1829, "name": "encode" }, { "id": 1830, "name": "paddlenlp" }, { "id": 1831, "name": "paddlespeech_ctcdecoders" }, { "id": 1832, "name": "ppdiffusers" }, { "id": 1833, "name": "textgrid" }, { "id": 1834, "name": "cbor" }, { "id": 1835, "name": "soundfile" }, { "id": 1836, "name": "parallel_wavegan" }, { "id": 1837, "name": "nose" }, { "id": 1838, "name": "resampy" }, { "id": 1839, "name": "webrtcvad" }, { "id": 1840, "name": "python_speech_features" }, { "id": 1841, "name": "g2p_en" }, { "id": 1842, "name": "opencc" }, { "id": 1843, "name": "paddllespeech" } ], "last_checked_revision": "1b8ca706d6a8e0a8b97ee21d93314a245d777a69\n" }, { "id": 60, "url": "https://github.com/vaexio/vaex", "description": "Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second \ud83d\ude80", "stars": 8094, "source_graph_repo_id": 37307171, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 355, "name": "importlib_metadata" }, { "id": 370, "name": "dask" }, { "id": 409, "name": "watchdog" }, { "id": 412, "name": "cloudpickle" }, { "id": 425, "name": "fsspec" }, { "id": 426, "name": "lightgbm" }, { "id": 442, "name": "filelock" }, { "id": 500, "name": "graphql" }, { "id": 640, "name": "numba" }, { "id": 737, "name": "pip" }, { "id": 799, "name": "xgboost" }, { "id": 804, "name": "cupy" }, { "id": 808, "name": "ipywidgets" }, { "id": 872, "name": "catboost" }, { "id": 909, "name": "tornado" }, { "id": 974, "name": "cachetools" }, { "id": 1012, "name": "traitlets" }, { "id": 1073, "name": "diskcache" }, { "id": 1346, "name": "PyQt5" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1519, "name": "_collections_abc" }, { "id": 1656, "name": "graphene" }, { "id": 1675, "name": "funcsigs" }, { "id": 1892, "name": "graphviz" }, { "id": 1981, "name": "xarray" }, { "id": 2052, "name": "macholib" }, { "id": 2053, "name": "PyQt4" }, { "id": 2054, "name": "pygbm" }, { "id": 2055, "name": "river" }, { "id": 2056, "name": "blake3" }, { "id": 2057, "name": "OpenGL" }, { "id": 2058, "name": "future" }, { "id": 2059, "name": "bqplot" }, { "id": 2060, "name": "skbuild" }, { "id": 2061, "name": "aplus" }, { "id": 2062, "name": "sip" }, { "id": 2063, "name": "vaex" }, { "id": 2064, "name": "gavi" }, { "id": 2065, "name": "asciitable" }, { "id": 2066, "name": "healpy" }, { "id": 2067, "name": "sampy" }, { "id": 2068, "name": "ipyvuetify" }, { "id": 2069, "name": "ipyvue" }, { "id": 2070, "name": "biplist" }, { "id": 2071, "name": "graphene_tornado" }, { "id": 2072, "name": "pythran" }, { "id": 2073, "name": "mab" }, { "id": 2074, "name": "objc" }, { "id": 2075, "name": "PySide" }, { "id": 2076, "name": "frozendict" }, { "id": 2077, "name": "astropy" }, { "id": 2078, "name": "annoy" }, { "id": 2079, "name": "javaobj" }, { "id": 2080, "name": "Metal" } ], "last_checked_revision": "15245cf4332d4423ac58bd737aee27d911a1b252\n" }, { "id": 61, "url": "https://github.com/cortexlabs/cortex", "description": "Production infrastructure for machine learning at scale", "stars": 7965, "source_graph_repo_id": 39958573, "dependencies": [ { "id": 1, "name": "" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 70, "name": "cortex" }, { "id": 71, "name": "cv2" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 74, "name": "sentry_sdk" }, { "id": 75, "name": "importlib_resources" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 78, "name": "imageio" }, { "id": 79, "name": "e2e" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 83, "name": "validator_collection" }, { "id": 84, "name": "torchvision" } ], "last_checked_revision": "dc48c02ed50a523a87166709f6fe361b5c836e3e\n" }, { "id": 62, "url": "https://github.com/chroma-core/chroma", "description": "the AI-native open-source embedding database", "stars": 10246, "source_graph_repo_id": 59894274, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 49, "name": "grpc" }, { "id": 75, "name": "importlib_resources" }, { "id": 81, "name": "boto3" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 136, "name": "open_clip" }, { "id": 183, "name": "openai" }, { "id": 224, "name": "google" }, { "id": 246, "name": "sentence_transformers" }, { "id": 452, "name": "onnxruntime" }, { "id": 531, "name": "opentelemetry" }, { "id": 712, "name": "mmh3" }, { "id": 742, "name": "hnswlib" }, { "id": 898, "name": "pypika" }, { "id": 899, "name": "text2vec" }, { "id": 900, "name": "InstructorEmbedding" }, { "id": 901, "name": "hypothesis" }, { "id": 902, "name": "overrides" }, { "id": 903, "name": "cohere" }, { "id": 904, "name": "pulsar" }, { "id": 1134, "name": "kubernetes" } ], "last_checked_revision": "185c76a5ed932aa4b71ea6060474c39014cd4368\n" }, { "id": 63, "url": "https://github.com/openreplay/openreplay", "description": "OpenReplay is developer-friendly, self-hosted session replay.", "stars": 8327, "source_graph_repo_id": 48024106, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 56, "name": "redis" }, { "id": 59, "name": "elasticsearch" }, { "id": 60, "name": "psycopg2" }, { "id": 62, "name": "app" }, { "id": 68, "name": "sqlalchemy" }, { "id": 81, "name": "boto3" }, { "id": 184, "name": "utils" }, { "id": 198, "name": "auth" }, { "id": 217, "name": "confluent_kafka" }, { "id": 222, "name": "jira" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 271, "name": "db" }, { "id": 273, "name": "airflow" }, { "id": 380, "name": "core" }, { "id": 495, "name": "Cython" }, { "id": 539, "name": "pydantic_core" }, { "id": 560, "name": "llama" }, { "id": 948, "name": "apscheduler" }, { "id": 1048, "name": "clickhouse_driver" }, { "id": 1049, "name": "or_dependencies" }, { "id": 1050, "name": "routers" }, { "id": 1051, "name": "chalicelib" }, { "id": 1052, "name": "bigquery_utils" }, { "id": 1053, "name": "pandas_redshift" }, { "id": 1054, "name": "schemas" }, { "id": 1055, "name": "onelogin" }, { "id": 1056, "name": "schemas_ee" }, { "id": 1057, "name": "kafka" }, { "id": 1058, "name": "msgcodec" }, { "id": 1059, "name": "decouple" }, { "id": 1060, "name": "pendulum" }, { "id": 1061, "name": "jwt" }, { "id": 1062, "name": "handler" }, { "id": 1063, "name": "messages" }, { "id": 1492, "name": "psycopg_pool" }, { "id": 1493, "name": "psycopg" } ], "last_checked_revision": "aa524347809f1cc679d75f3f17e2375ac30aae0d\n" }, { "id": 64, "url": "https://github.com/pycaret/pycaret", "description": "An open-source, low-code machine learning library in Python", "stars": 8058, "source_graph_repo_id": 40239205, "dependencies": [ { "id": 4, "name": "ray" }, { "id": 5, "name": "mlflow" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 39, "name": "streamlit" }, { "id": 46, "name": "azure" }, { "id": 81, "name": "boto3" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 182, "name": "wandb" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 278, "name": "plotly" }, { "id": 355, "name": "importlib_metadata" }, { "id": 412, "name": "cloudpickle" }, { "id": 418, "name": "joblib" }, { "id": 426, "name": "lightgbm" }, { "id": 431, "name": "comet_ml" }, { "id": 533, "name": "optuna" }, { "id": 640, "name": "numba" }, { "id": 760, "name": "hyperopt" }, { "id": 791, "name": "shap" }, { "id": 794, "name": "moto" }, { "id": 799, "name": "xgboost" }, { "id": 808, "name": "ipywidgets" }, { "id": 820, "name": "cuml" }, { "id": 872, "name": "catboost" }, { "id": 954, "name": "statsmodels" }, { "id": 1311, "name": "umap" }, { "id": 1312, "name": "ConfigSpace" }, { "id": 1313, "name": "skopt" }, { "id": 1314, "name": "kmodes" }, { "id": 1315, "name": "daal4py" }, { "id": 1316, "name": "xxhash" }, { "id": 1317, "name": "schemdraw" }, { "id": 1318, "name": "m2cgen" }, { "id": 1319, "name": "autoviz" }, { "id": 1320, "name": "wurlitzer" }, { "id": 1321, "name": "fairlearn" }, { "id": 1322, "name": "pyod" }, { "id": 1323, "name": "imblearn" }, { "id": 1324, "name": "explainerdashboard" }, { "id": 1325, "name": "tune_sklearn" }, { "id": 1326, "name": "sktime" }, { "id": 1327, "name": "deepchecks" }, { "id": 1328, "name": "pmdarima" }, { "id": 1329, "name": "fugue" }, { "id": 1330, "name": "dbruntime" }, { "id": 1331, "name": "category_encoders" }, { "id": 1332, "name": "dagshub" }, { "id": 1333, "name": "evidently" }, { "id": 1334, "name": "yellowbrick" }, { "id": 1335, "name": "sklearnex" }, { "id": 1336, "name": "plotly_resampler" }, { "id": 1337, "name": "interpret" }, { "id": 1338, "name": "ydata_profiling" }, { "id": 1339, "name": "scikitplot" } ], "last_checked_revision": "7943536b943bb05ae716b7f643b40c27a5cf49bd\n" }, { "id": 65, "url": "https://github.com/Sygil-Dev/Sygil-WebUI", "description": "Stable Diffusion web UI", "stars": 7724, "source_graph_repo_id": 58906588, "dependencies": [ { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 39, "name": "streamlit" }, { "id": 54, "name": "loguru" }, { "id": 71, "name": "cv2" }, { "id": 78, "name": "imageio" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 93, "name": "gfpgan" }, { "id": 94, "name": "clip" }, { "id": 97, "name": "omegaconf" }, { "id": 105, "name": "timm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 119, "name": "basicsr" }, { "id": 122, "name": "psutil" }, { "id": 123, "name": "piexif" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 128, "name": "k_diffusion" }, { "id": 129, "name": "skimage" }, { "id": 134, "name": "realesrgan" }, { "id": 136, "name": "open_clip" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 143, "name": "academictorrents" }, { "id": 158, "name": "diffusers" }, { "id": 172, "name": "natsort" }, { "id": 174, "name": "albumentations" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 191, "name": "taming" }, { "id": 194, "name": "logger" }, { "id": 209, "name": "requests_html" }, { "id": 229, "name": "retry" }, { "id": 260, "name": "IPython" }, { "id": 456, "name": "fairscale" }, { "id": 472, "name": "kornia" }, { "id": 640, "name": "numba" }, { "id": 754, "name": "librosa" }, { "id": 865, "name": "pipelines" }, { "id": 936, "name": "toml" }, { "id": 1084, "name": "webview" }, { "id": 1291, "name": "torchdiffeq" }, { "id": 1292, "name": "stqdm" }, { "id": 1293, "name": "bridgeData" }, { "id": 1294, "name": "streamlit_server_state" }, { "id": 1295, "name": "barfi" }, { "id": 1296, "name": "nataili" }, { "id": 1297, "name": "decord" }, { "id": 1298, "name": "modeldownload" }, { "id": 1299, "name": "hydralit_components" }, { "id": 1300, "name": "sd_utils" }, { "id": 1301, "name": "hydralit" }, { "id": 1302, "name": "streamlit_tensorboard" }, { "id": 1303, "name": "hydrus_api" }, { "id": 1304, "name": "txt2img" }, { "id": 1305, "name": "flet" }, { "id": 1306, "name": "LDSR" }, { "id": 1307, "name": "transform" }, { "id": 1308, "name": "slugify" }, { "id": 1309, "name": "shutup" }, { "id": 1310, "name": "streamlit_drawable_canvas" }, { "id": 3860, "name": "streamlit_nested_layout" } ], "last_checked_revision": "3ee7f6a46c2fedcd357a47f4c8f7d74850f61c72\n" }, { "id": 66, "url": "https://github.com/easydiffusion/easydiffusion", "description": "Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.", "stars": 8476, "source_graph_repo_id": 58890158, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 96, "name": "rich" }, { "id": 479, "name": "regex" }, { "id": 1028, "name": "ruamel" }, { "id": 1143, "name": "pycloudflared" }, { "id": 1144, "name": "easydiffusion" }, { "id": 1145, "name": "sdkit" } ], "last_checked_revision": "dfb26ed7812d34e4e23cbf4c2b4fcac2ead70780\n" }, { "id": 67, "url": "https://github.com/jupyterhub/jupyterhub", "description": "Multi-user server for Jupyter notebooks", "stars": 7450, "source_graph_repo_id": 48747, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 215, "name": "cryptography" }, { "id": 251, "name": "playwright" }, { "id": 260, "name": "IPython" }, { "id": 292, "name": "flask" }, { "id": 351, "name": "sphinx" }, { "id": 355, "name": "importlib_metadata" }, { "id": 497, "name": "prometheus_client" }, { "id": 509, "name": "docutils" }, { "id": 909, "name": "tornado" }, { "id": 1012, "name": "traitlets" }, { "id": 1015, "name": "sphinxcontrib" }, { "id": 1016, "name": "statsd" }, { "id": 1017, "name": "jupyter_core" }, { "id": 1018, "name": "certipy" }, { "id": 1019, "name": "async_generator" }, { "id": 1020, "name": "pytablewriter" }, { "id": 1021, "name": "oauthlib" }, { "id": 1022, "name": "oauthenticator" }, { "id": 1023, "name": "jupyter_server" }, { "id": 1024, "name": "notebook" }, { "id": 1025, "name": "pamela" }, { "id": 1026, "name": "jupyter_client" }, { "id": 1027, "name": "jupyterlab" }, { "id": 1028, "name": "ruamel" }, { "id": 1029, "name": "jupyter_telemetry" }, { "id": 1194, "name": "idna" }, { "id": 4436, "name": "fps_auth_jupyterhub" } ], "last_checked_revision": "ab82b8e492d17d1a0845b119b91263c0fbe7e56d\n" }, { "id": 68, "url": "https://github.com/brycedrennan/imaginAIry", "description": "Pythonic AI generation of images and videos", "stars": 7543, "source_graph_repo_id": 59085953, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 94, "name": "clip" }, { "id": 97, "name": "omegaconf" }, { "id": 99, "name": "facexlib" }, { "id": 105, "name": "timm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 130, "name": "safetensors" }, { "id": 135, "name": "pkg_resources" }, { "id": 136, "name": "open_clip" }, { "id": 140, "name": "scipy" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 200, "name": "models" }, { "id": 354, "name": "third_party" }, { "id": 430, "name": "urllib3" }, { "id": 456, "name": "fairscale" }, { "id": 461, "name": "ftfy" }, { "id": 472, "name": "kornia" }, { "id": 479, "name": "regex" }, { "id": 539, "name": "pydantic_core" }, { "id": 631, "name": "responses" }, { "id": 1291, "name": "torchdiffeq" }, { "id": 1340, "name": "general_utils" }, { "id": 1341, "name": "lightning_fabric" }, { "id": 1342, "name": "click_help_colors" }, { "id": 1343, "name": "pyparsing" }, { "id": 1344, "name": "click_shell" }, { "id": 1345, "name": "trails" }, { "id": 2489, "name": "pytorch_fid" }, { "id": 5236, "name": "refiners" } ], "last_checked_revision": "9f33fa066453ea7b0ba4e59712ae0c0571450230\n" }, { "id": 69, "url": "https://github.com/TechEmpower/FrameworkBenchmarks", "description": "Source for the TechEmpower Framework Benchmarks project", "stars": 7224, "source_graph_repo_id": 42124, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 38, "name": "pydantic" }, { "id": 52, "name": "psycopg2cffi" }, { "id": 60, "name": "psycopg2" }, { "id": 62, "name": "app" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 92, "name": "pymongo" }, { "id": 122, "name": "psutil" }, { "id": 147, "name": "sanic" }, { "id": 196, "name": "asyncpg" }, { "id": 292, "name": "flask" }, { "id": 330, "name": "applications" }, { "id": 348, "name": "django" }, { "id": 399, "name": "orjson" }, { "id": 410, "name": "selenium" }, { "id": 778, "name": "docker" }, { "id": 886, "name": "werkzeug" }, { "id": 906, "name": "quart" }, { "id": 908, "name": "apidaora" }, { "id": 909, "name": "tornado" }, { "id": 911, "name": "routerling" }, { "id": 913, "name": "cherrypy" }, { "id": 914, "name": "klein" }, { "id": 915, "name": "hug" }, { "id": 917, "name": "emmett" }, { "id": 919, "name": "pyramid" }, { "id": 923, "name": "bottle" }, { "id": 925, "name": "blacksheep" }, { "id": 926, "name": "falcon" }, { "id": 966, "name": "weppy" }, { "id": 967, "name": "aiopg" }, { "id": 968, "name": "MySQLdb" }, { "id": 969, "name": "eve" }, { "id": 970, "name": "meinheld" }, { "id": 971, "name": "bjoern" }, { "id": 972, "name": "bareasgi_jinja2" }, { "id": 973, "name": "vibora" }, { "id": 974, "name": "cachetools" }, { "id": 975, "name": "morepath" }, { "id": 976, "name": "microdot_jinja" }, { "id": 977, "name": "crax" }, { "id": 978, "name": "paste" }, { "id": 979, "name": "fastwsgi" }, { "id": 980, "name": "aioworkers" }, { "id": 981, "name": "alchemical" }, { "id": 982, "name": "WebKit" }, { "id": 983, "name": "world" }, { "id": 984, "name": "socketify" }, { "id": 985, "name": "pony" }, { "id": 986, "name": "asyncache" }, { "id": 987, "name": "responder" }, { "id": 988, "name": "controller" }, { "id": 989, "name": "gluon" }, { "id": 990, "name": "more" }, { "id": 991, "name": "aioworkers_pg" }, { "id": 992, "name": "momoko" }, { "id": 993, "name": "tg" }, { "id": 994, "name": "frameworkbenchmarks" }, { "id": 995, "name": "robyn" }, { "id": 996, "name": "bareasgi" }, { "id": 997, "name": "microdot_wsgi" }, { "id": 998, "name": "microdot_asgi" }, { "id": 999, "name": "webtest" }, { "id": 1000, "name": "starlite" }, { "id": 1001, "name": "aiohttp_jinja2" }, { "id": 1002, "name": "api_hour" }, { "id": 1003, "name": "asyncworker" }, { "id": 1004, "name": "colorama" }, { "id": 1005, "name": "japronto" }, { "id": 1006, "name": "aiomysql" }, { "id": 1007, "name": "motor" }, { "id": 1008, "name": "waitress" }, { "id": 1009, "name": "xpresso" }, { "id": 1010, "name": "tortoise" }, { "id": 1011, "name": "granian" }, { "id": 5115, "name": "heaven" } ], "last_checked_revision": "a044f4251345c6a089801e1bb4faf49daa11b505\n" }, { "id": 70, "url": "https://github.com/mailcow/mailcow-dockerized", "description": "mailcow: dockerized - \ud83d\udc2e + \ud83d\udc0b = \ud83d\udc95", "stars": 7419, "source_graph_repo_id": 1221227, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 56, "name": "redis" }, { "id": 73, "name": "jinja2" }, { "id": 91, "name": "mysql" }, { "id": 122, "name": "psutil" }, { "id": 243, "name": "html2text" }, { "id": 628, "name": "magic" }, { "id": 778, "name": "docker" }, { "id": 957, "name": "aioredis" }, { "id": 1064, "name": "aiodocker" }, { "id": 1065, "name": "async_timeout" }, { "id": 1066, "name": "iptc" }, { "id": 1067, "name": "dns" }, { "id": 5669, "name": "nftables" } ], "last_checked_revision": "cb0b0235f01a8e4102ece9540fe0aa3bb2b60d72\n" }, { "id": 71, "url": "https://github.com/the-benchmarker/web-frameworks", "description": "Which is the fastest web framework?", "stars": 6826, "source_graph_repo_id": 36565456, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 29, "name": "aiohttp" }, { "id": 147, "name": "sanic" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 905, "name": "guillotina" }, { "id": 906, "name": "quart" }, { "id": 907, "name": "masoniteorm" }, { "id": 908, "name": "apidaora" }, { "id": 909, "name": "tornado" }, { "id": 910, "name": "ninja" }, { "id": 911, "name": "routerling" }, { "id": 912, "name": "nameko" }, { "id": 913, "name": "cherrypy" }, { "id": 914, "name": "klein" }, { "id": 915, "name": "hug" }, { "id": 916, "name": "tonberry" }, { "id": 917, "name": "emmett" }, { "id": 918, "name": "asgineer" }, { "id": 919, "name": "pyramid" }, { "id": 920, "name": "baize" }, { "id": 921, "name": "masonite" }, { "id": 922, "name": "clastic" }, { "id": 923, "name": "bottle" }, { "id": 924, "name": "indexpy" }, { "id": 925, "name": "blacksheep" }, { "id": 926, "name": "falcon" }, { "id": 927, "name": "molten" }, { "id": 1985, "name": "litestar" }, { "id": 4335, "name": "happyx" } ], "last_checked_revision": "0eebb1d1456ef814bf1b6087ab444cbbc24a12bd\n" }, { "id": 72, "url": "https://github.com/finos/perspective", "description": "A data visualization and analytics component, especially well-suited for large and/or streaming datasets.", "stars": 7053, "source_graph_repo_id": 35803878, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 73, "name": "jinja2" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 261, "name": "pyarrow" }, { "id": 808, "name": "ipywidgets" }, { "id": 812, "name": "faker" }, { "id": 909, "name": "tornado" }, { "id": 1012, "name": "traitlets" }, { "id": 1013, "name": "perspective" }, { "id": 1014, "name": "jupyter_packaging" } ], "last_checked_revision": "64b3acecb7eaa932600cbfaad714be73d2369fe1\n" }, { "id": 73, "url": "https://github.com/reactive-python/reactpy", "description": "It's React, but in Python", "stars": 7405, "source_graph_repo_id": 41045278, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 28, "name": "_pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 76, "name": "click" }, { "id": 106, "name": "anyio" }, { "id": 147, "name": "sanic" }, { "id": 161, "name": "matplotlib" }, { "id": 218, "name": "lxml" }, { "id": 251, "name": "playwright" }, { "id": 259, "name": "asgiref" }, { "id": 292, "name": "flask" }, { "id": 351, "name": "sphinx" }, { "id": 373, "name": "tests" }, { "id": 509, "name": "docutils" }, { "id": 587, "name": "flask_cors" }, { "id": 631, "name": "responses" }, { "id": 886, "name": "werkzeug" }, { "id": 909, "name": "tornado" }, { "id": 934, "name": "reactpy" }, { "id": 935, "name": "flask_sock" }, { "id": 936, "name": "toml" }, { "id": 937, "name": "invoke" }, { "id": 938, "name": "sphinx_autobuild" }, { "id": 939, "name": "docs_app" }, { "id": 940, "name": "simple_websocket" }, { "id": 941, "name": "semver" }, { "id": 942, "name": "jsonpointer" }, { "id": 943, "name": "sanic_cors" }, { "id": 944, "name": "sphinx_design" }, { "id": 945, "name": "fastjsonschema" }, { "id": 2376, "name": "exceptiongroup" } ], "last_checked_revision": "3a3ad3f706477642133190c08bbe1e43a991bfa3\n" }, { "id": 74, "url": "https://github.com/codebasics/py", "description": "Repository to store sample python programs for python learning", "stars": 6467, "source_graph_repo_id": 35555894, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 161, "name": "matplotlib" }, { "id": 292, "name": "flask" }, { "id": 410, "name": "selenium" }, { "id": 418, "name": "joblib" }, { "id": 961, "name": "pywt" }, { "id": 1353, "name": "fixtures" } ], "last_checked_revision": "801ee0ee4d342fd22b89915dc0c4864250a0ec10\n" }, { "id": 75, "url": "https://github.com/github/codeql", "description": "CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security", "stars": 6677, "source_graph_repo_id": 36573299, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 23, "name": "aiosqlite" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 64, "name": "jose" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 81, "name": "boto3" }, { "id": 91, "name": "mysql" }, { "id": 92, "name": "pymongo" }, { "id": 106, "name": "anyio" }, { "id": 108, "name": "inflection" }, { "id": 124, "name": "git" }, { "id": 147, "name": "sanic" }, { "id": 155, "name": "six" }, { "id": 179, "name": "fabric" }, { "id": 196, "name": "asyncpg" }, { "id": 215, "name": "cryptography" }, { "id": 218, "name": "lxml" }, { "id": 292, "name": "flask" }, { "id": 298, "name": "pkg" }, { "id": 301, "name": "x" }, { "id": 303, "name": "my_module" }, { "id": 310, "name": "a" }, { "id": 315, "name": "module2" }, { "id": 317, "name": "baz" }, { "id": 325, "name": "c" }, { "id": 327, "name": "f" }, { "id": 328, "name": "foo2" }, { "id": 341, "name": "paramiko" }, { "id": 348, "name": "django" }, { "id": 351, "name": "sphinx" }, { "id": 354, "name": "third_party" }, { "id": 358, "name": "b" }, { "id": 375, "name": "module1" }, { "id": 376, "name": "bar" }, { "id": 379, "name": "d" }, { "id": 385, "name": "foo" }, { "id": 386, "name": "mod" }, { "id": 390, "name": "foo1" }, { "id": 393, "name": "package" }, { "id": 394, "name": "other" }, { "id": 396, "name": "module" }, { "id": 403, "name": "e" }, { "id": 418, "name": "joblib" }, { "id": 429, "name": "wget" }, { "id": 430, "name": "urllib3" }, { "id": 445, "name": "pygments" }, { "id": 543, "name": "peewee" }, { "id": 548, "name": "markupsafe" }, { "id": 643, "name": "Crypto" }, { "id": 645, "name": "flask_testing" }, { "id": 719, "name": "_io" }, { "id": 734, "name": "pymysql" }, { "id": 802, "name": "xmltodict" }, { "id": 886, "name": "werkzeug" }, { "id": 909, "name": "tornado" }, { "id": 913, "name": "cherrypy" }, { "id": 920, "name": "baize" }, { "id": 923, "name": "bottle" }, { "id": 926, "name": "falcon" }, { "id": 929, "name": "yarl" }, { "id": 930, "name": "multidict" }, { "id": 936, "name": "toml" }, { "id": 937, "name": "invoke" }, { "id": 963, "name": "simplejson" }, { "id": 965, "name": "playhouse" }, { "id": 967, "name": "aiopg" }, { "id": 968, "name": "MySQLdb" }, { "id": 1006, "name": "aiomysql" }, { "id": 1028, "name": "ruamel" }, { "id": 1048, "name": "clickhouse_driver" }, { "id": 1061, "name": "jwt" }, { "id": 1083, "name": "aiofiles" }, { "id": 1120, "name": "mongoengine" }, { "id": 1128, "name": "cassandra" }, { "id": 1139, "name": "dill" }, { "id": 1179, "name": "pymssql" }, { "id": 1180, "name": "a3" }, { "id": 1181, "name": "oracledb" }, { "id": 1182, "name": "pkg_notok" }, { "id": 1183, "name": "used_in_class" }, { "id": 1184, "name": "chameleon" }, { "id": 1185, "name": "top_level_cycle" }, { "id": 1186, "name": "elsewhere" }, { "id": 1187, "name": "a4" }, { "id": 1188, "name": "namespace_package" }, { "id": 1189, "name": "genericpath" }, { "id": 1190, "name": "fieldflow" }, { "id": 1191, "name": "spam" }, { "id": 1192, "name": "spam_module" }, { "id": 1193, "name": "slow_system" }, { "id": 1194, "name": "idna" }, { "id": 1195, "name": "mongosanitizer" }, { "id": 1196, "name": "mako" }, { "id": 1197, "name": "cg_trace" }, { "id": 1198, "name": "generate_flow_model" }, { "id": 1199, "name": "cycle" }, { "id": 1200, "name": "cant_resolve" }, { "id": 1201, "name": "subexpression_return_type" }, { "id": 1202, "name": "pkg_ok" }, { "id": 1203, "name": "airspeed" }, { "id": 1204, "name": "coloredlogs" }, { "id": 1205, "name": "rsa" }, { "id": 1206, "name": "toposort" }, { "id": 1207, "name": "danger" }, { "id": 1208, "name": "y" }, { "id": 1209, "name": "chevron" }, { "id": 1210, "name": "sendgrid" }, { "id": 1211, "name": "pycurl" }, { "id": 1212, "name": "not_found" }, { "id": 1213, "name": "module_without_all" }, { "id": 1214, "name": "polymorphic" }, { "id": 1215, "name": "_s" }, { "id": 1216, "name": "settings" }, { "id": 1217, "name": "a1" }, { "id": 1218, "name": "mod1" }, { "id": 1219, "name": "flask_admin" }, { "id": 1220, "name": "genshi" }, { "id": 1221, "name": "start" }, { "id": 1222, "name": "foo_module" }, { "id": 1223, "name": "who_knows_what" }, { "id": 1224, "name": "subexpression_assignment_annotation" }, { "id": 1225, "name": "M" }, { "id": 1226, "name": "unknown_settings" }, { "id": 1227, "name": "xxx" }, { "id": 1228, "name": "yyy" }, { "id": 1229, "name": "flask_user" }, { "id": 1230, "name": "phoenixdb" }, { "id": 1231, "name": "testlib" }, { "id": 1232, "name": "create_database_utils" }, { "id": 1233, "name": "jmespath" }, { "id": 1234, "name": "a2" }, { "id": 1235, "name": "twisted" }, { "id": 1236, "name": "zope" }, { "id": 1237, "name": "defusedxml" }, { "id": 1238, "name": "ham" }, { "id": 1239, "name": "pyodbc" }, { "id": 1240, "name": "a6" }, { "id": 1241, "name": "unknown_module" }, { "id": 1242, "name": "Cheetah" }, { "id": 1243, "name": "pyOpenSSL" }, { "id": 1244, "name": "otherlib" }, { "id": 1245, "name": "unknown2" }, { "id": 1246, "name": "libxml2" }, { "id": 1247, "name": "used_in_doctest" }, { "id": 1248, "name": "test_package" }, { "id": 1249, "name": "outside" }, { "id": 1250, "name": "convert_extensions" }, { "id": 1251, "name": "imported" }, { "id": 1252, "name": "eggs" }, { "id": 1253, "name": "dotted" }, { "id": 1254, "name": "clever_lazy_module_thing" }, { "id": 1255, "name": "helpers" }, { "id": 1256, "name": "rest_framework" }, { "id": 1257, "name": "antlr3" }, { "id": 1258, "name": "module_that_does_not_exist" }, { "id": 1259, "name": "Cryptodome" }, { "id": 1260, "name": "mypkg" }, { "id": 1261, "name": "trender" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1263, "name": "aioch" }, { "id": 1264, "name": "argon2" }, { "id": 1265, "name": "cx_Oracle" }, { "id": 1266, "name": "pflask" }, { "id": 1267, "name": "mod2" }, { "id": 1268, "name": "nonexistent" }, { "id": 1269, "name": "never_imported" }, { "id": 1270, "name": "diagnostics_test_utils" }, { "id": 1271, "name": "used_in_return_type" }, { "id": 1272, "name": "ldap" }, { "id": 1273, "name": "flask_pymongo" }, { "id": 1274, "name": "only_used_in_parameter_annotation" }, { "id": 1275, "name": "subexpression_parameter_annotation" }, { "id": 1276, "name": "undefined" }, { "id": 1277, "name": "pystache" }, { "id": 1278, "name": "unknown" }, { "id": 1279, "name": "only_used_in_annotated_assignment" }, { "id": 1280, "name": "somwhere" }, { "id": 1281, "name": "qllexer" }, { "id": 1282, "name": "flask_mongoengine" }, { "id": 1283, "name": "libtaxii" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1285, "name": "xxxx" }, { "id": 1286, "name": "used_in_docs" }, { "id": 1287, "name": "ldap3" }, { "id": 1288, "name": "taintlib" }, { "id": 1289, "name": "some_unknown_module" }, { "id": 1290, "name": "fast_system" }, { "id": 2081, "name": "nova" }, { "id": 2281, "name": "flask_session" }, { "id": 4375, "name": "environ" }, { "id": 4881, "name": "not_root" }, { "id": 4882, "name": "foo_explicit" }, { "id": 5197, "name": "aiofile" }, { "id": 5687, "name": "buildless_test_utils" } ], "last_checked_revision": "671343619f528921f6bcf6d51da2a222773680a4\n" }, { "id": 76, "url": "https://github.com/kingoflolz/mesh-transformer-jax", "description": "Model parallel transformers in JAX and Haiku", "stars": 6167, "source_graph_repo_id": 43214634, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 80, "name": "tensorflow" }, { "id": 111, "name": "einops" }, { "id": 127, "name": "tqdm" }, { "id": 179, "name": "fabric" }, { "id": 182, "name": "wandb" }, { "id": 224, "name": "google" }, { "id": 292, "name": "flask" }, { "id": 461, "name": "ftfy" }, { "id": 849, "name": "jax" }, { "id": 889, "name": "func_timeout" }, { "id": 890, "name": "haiku" }, { "id": 891, "name": "pathy" }, { "id": 892, "name": "lm_dataformat" }, { "id": 893, "name": "smart_open" }, { "id": 894, "name": "optax" }, { "id": 895, "name": "lm_eval" } ], "last_checked_revision": "f8315e3003033b23f21d78361b288953064e0e76\n" }, { "id": 77, "url": "https://github.com/eosphoros-ai/DB-GPT", "description": "Revolutionizing Database Interactions with Private LLM Technology", "stars": 9060, "source_graph_repo_id": 60934813, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 40, "name": "pptx" }, { "id": 42, "name": "weaviate" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 57, "name": "llama_index" }, { "id": 58, "name": "pymilvus" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 98, "name": "pytz" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 186, "name": "seaborn" }, { "id": 189, "name": "accelerate" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 421, "name": "dataclasses_json" }, { "id": 425, "name": "fsspec" }, { "id": 455, "name": "prettytable" }, { "id": 469, "name": "termcolor" }, { "id": 479, "name": "regex" }, { "id": 516, "name": "shortuuid" }, { "id": 518, "name": "gpt4all" }, { "id": 558, "name": "vllm" }, { "id": 574, "name": "websockets" }, { "id": 577, "name": "pympler" }, { "id": 611, "name": "fitz" }, { "id": 613, "name": "platformdirs" }, { "id": 667, "name": "sqlparse" }, { "id": 690, "name": "markdown" }, { "id": 721, "name": "paddleocr" }, { "id": 734, "name": "pymysql" }, { "id": 737, "name": "pip" }, { "id": 819, "name": "pyspark" }, { "id": 936, "name": "toml" }, { "id": 974, "name": "cachetools" }, { "id": 1004, "name": "colorama" }, { "id": 1045, "name": "chardet" }, { "id": 1068, "name": "docx" }, { "id": 1069, "name": "gptcache" }, { "id": 1070, "name": "auto_gpt_plugin_template" }, { "id": 1071, "name": "markdown2" }, { "id": 1072, "name": "unstructured" }, { "id": 1073, "name": "diskcache" }, { "id": 1074, "name": "duckdb" }, { "id": 1075, "name": "bardapi" }, { "id": 1076, "name": "playsound" }, { "id": 1083, "name": "aiofiles" }, { "id": 1107, "name": "msgpack" }, { "id": 1140, "name": "gunicorn" }, { "id": 1204, "name": "coloredlogs" }, { "id": 1343, "name": "pyparsing" }, { "id": 1380, "name": "fastchat" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1506, "name": "typing_inspect" }, { "id": 3759, "name": "aioresponses" }, { "id": 3980, "name": "clickhouse_connect" }, { "id": 4000, "name": "dashscope" }, { "id": 4330, "name": "llama_cpp_cuda" }, { "id": 4433, "name": "spatial" }, { "id": 4451, "name": "zhipuai" }, { "id": 5203, "name": "rocksdict" } ], "last_checked_revision": "e75314f27da6f4a6f677ae97490195aa9b56bf31\n" }, { "id": 78, "url": "https://github.com/highlight/highlight", "description": "highlight.io: The open source, full-stack monitoring platform. Error monitoring, session replay, logging and more.", "stars": 6123, "source_graph_repo_id": 60145743, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 46, "name": "azure" }, { "id": 54, "name": "loguru" }, { "id": 81, "name": "boto3" }, { "id": 127, "name": "tqdm" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 531, "name": "opentelemetry" }, { "id": 941, "name": "semver" }, { "id": 1354, "name": "highlight_io" }, { "id": 1355, "name": "brotli" }, { "id": 1356, "name": "functions_framework" }, { "id": 1357, "name": "blinker" }, { "id": 1872, "name": "stripe" } ], "last_checked_revision": "03bfb03c4b611129abd68a712494b2dfd97d1140\n" }, { "id": 79, "url": "https://github.com/bentoml/BentoML", "description": "Build Production-Grade AI Applications", "stars": 6058, "source_graph_repo_id": 37975061, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 5, "name": "mlflow" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 71, "name": "cv2" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 85, "name": "tritonclient" }, { "id": 96, "name": "rich" }, { "id": 106, "name": "anyio" }, { "id": 108, "name": "inflection" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 185, "name": "huggingface_hub" }, { "id": 190, "name": "locust" }, { "id": 218, "name": "lxml" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 287, "name": "attrs" }, { "id": 292, "name": "flask" }, { "id": 335, "name": "_typeshed" }, { "id": 399, "name": "orjson" }, { "id": 412, "name": "cloudpickle" }, { "id": 418, "name": "joblib" }, { "id": 419, "name": "torchmetrics" }, { "id": 426, "name": "lightgbm" }, { "id": 452, "name": "onnxruntime" }, { "id": 468, "name": "onnx" }, { "id": 497, "name": "prometheus_client" }, { "id": 531, "name": "opentelemetry" }, { "id": 542, "name": "multipart" }, { "id": 583, "name": "__main__" }, { "id": 650, "name": "backports" }, { "id": 757, "name": "fastcore" }, { "id": 765, "name": "attr" }, { "id": 799, "name": "xgboost" }, { "id": 819, "name": "pyspark" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 849, "name": "jax" }, { "id": 872, "name": "catboost" }, { "id": 894, "name": "optax" }, { "id": 929, "name": "yarl" }, { "id": 930, "name": "multidict" }, { "id": 1092, "name": "jaxlib" }, { "id": 1093, "name": "circus" }, { "id": 1094, "name": "detectron2" }, { "id": 1095, "name": "schema" }, { "id": 1096, "name": "cattrs" }, { "id": 1097, "name": "grpc_channelz" }, { "id": 1098, "name": "skl2onnx" }, { "id": 1099, "name": "simple_di" }, { "id": 1100, "name": "fastai" }, { "id": 1101, "name": "model_config_pb2" }, { "id": 1102, "name": "service_pb2" }, { "id": 1103, "name": "cattr" }, { "id": 1104, "name": "pathspec" }, { "id": 1105, "name": "fs" }, { "id": 1106, "name": "click_option_group" }, { "id": 1107, "name": "msgpack" }, { "id": 1108, "name": "bentoml_cli" }, { "id": 1109, "name": "chex" }, { "id": 1110, "name": "grpc_health" }, { "id": 1111, "name": "deepmerge" }, { "id": 1112, "name": "filetype" }, { "id": 1113, "name": "service" }, { "id": 1114, "name": "pip_requirements_parser" }, { "id": 1115, "name": "grpc_reflection" }, { "id": 1116, "name": "flax" }, { "id": 1117, "name": "watchfiles" }, { "id": 1118, "name": "build" }, { "id": 1119, "name": "bentoml" }, { "id": 5235, "name": "openllm" } ], "last_checked_revision": "a44bcbcf11983dbcba616cbfeedf56879aef7e38\n" }, { "id": 80, "url": "https://github.com/agronholm/apscheduler", "description": "Task scheduling library for Python", "stars": 5439, "source_graph_repo_id": 79002, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 28, "name": "_pytest" }, { "id": 47, "name": "tenacity" }, { "id": 56, "name": "redis" }, { "id": 68, "name": "sqlalchemy" }, { "id": 92, "name": "pymongo" }, { "id": 106, "name": "anyio" }, { "id": 196, "name": "asyncpg" }, { "id": 272, "name": "bson" }, { "id": 287, "name": "attrs" }, { "id": 292, "name": "flask" }, { "id": 650, "name": "backports" }, { "id": 765, "name": "attr" }, { "id": 946, "name": "pytest_mock" }, { "id": 947, "name": "tzlocal" }, { "id": 948, "name": "apscheduler" }, { "id": 949, "name": "paho" }, { "id": 950, "name": "cbor2" }, { "id": 951, "name": "pytest_lazyfixture" }, { "id": 952, "name": "sniffio" }, { "id": 953, "name": "freezegun" }, { "id": 2049, "name": "time_machine" }, { "id": 2328, "name": "PyQt6" }, { "id": 2825, "name": "PySide6" } ], "last_checked_revision": "8f7598c96a7209676c198b7bbc9254b821a6aebc\n" }, { "id": 81, "url": "https://github.com/tensorflow/tpu", "description": "Reference models and tools for Cloud TPUs.", "stars": 5165, "source_graph_repo_id": 35902360, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 49, "name": "grpc" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 155, "name": "six" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 179, "name": "fabric" }, { "id": 184, "name": "utils" }, { "id": 224, "name": "google" }, { "id": 245, "name": "absl" }, { "id": 290, "name": "requests_mock" }, { "id": 349, "name": "mock" }, { "id": 473, "name": "lvis" }, { "id": 657, "name": "pycocotools" }, { "id": 675, "name": "modeling" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 849, "name": "jax" }, { "id": 894, "name": "optax" }, { "id": 1116, "name": "flax" }, { "id": 1123, "name": "common" }, { "id": 1148, "name": "image_utils" }, { "id": 1149, "name": "tf" }, { "id": 1150, "name": "object_detection" }, { "id": 1151, "name": "tensorflow_hub" }, { "id": 1152, "name": "dataloader" }, { "id": 1153, "name": "research" }, { "id": 1154, "name": "image_classification" }, { "id": 1155, "name": "efficientnet_model" }, { "id": 1156, "name": "ml_collections" }, { "id": 1157, "name": "deeplab" }, { "id": 1158, "name": "lite" }, { "id": 1159, "name": "projects" }, { "id": 1160, "name": "ops" }, { "id": 1161, "name": "official" }, { "id": 1162, "name": "hyperparameters" }, { "id": 1163, "name": "serving" }, { "id": 1164, "name": "tensorflow_gan" }, { "id": 1165, "name": "tensorflow_model_optimization" }, { "id": 1166, "name": "patchwork" }, { "id": 1167, "name": "apache_beam" }, { "id": 1168, "name": "executor" }, { "id": 1169, "name": "nibabel" }, { "id": 1170, "name": "configs" }, { "id": 1171, "name": "mnasnet_models" }, { "id": 1172, "name": "mlperf_loadgen" }, { "id": 1173, "name": "efficientnet_builder" }, { "id": 1174, "name": "evaluation" }, { "id": 1175, "name": "tensorflow_serving" }, { "id": 1176, "name": "ratelimiter" }, { "id": 1177, "name": "load_test" }, { "id": 1178, "name": "mixnet" } ], "last_checked_revision": "906be5267106a72d51d682d6fda15210118840cf\n" }, { "id": 82, "url": "https://github.com/szad670401/HyperLPR", "description": "\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u9ad8\u6027\u80fd\u4e2d\u6587\u8f66\u724c\u8bc6\u522b High Performance Chinese License Plate Recognition Framework.", "stars": 5322, "source_graph_repo_id": 1512330, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 54, "name": "loguru" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 452, "name": "onnxruntime" }, { "id": 1146, "name": "hyperlpr3" }, { "id": 1147, "name": "MNN" } ], "last_checked_revision": "6c902c9af9319a495022daa3ba7264331d38cfb7\n" }, { "id": 83, "url": "https://github.com/wenda-LLM/wenda", "description": "\u95fb\u8fbe\uff1a\u4e00\u4e2aLLM\u8c03\u7528\u5e73\u53f0\u3002\u76ee\u6807\u4e3a\u9488\u5bf9\u7279\u5b9a\u73af\u5883\u7684\u9ad8\u6548\u5185\u5bb9\u751f\u6210\uff0c\u540c\u65f6\u8003\u8651\u4e2a\u4eba\u548c\u4e2d\u5c0f\u4f01\u4e1a\u7684\u8ba1\u7b97\u8d44\u6e90\u5c40\u9650\u6027\uff0c\u4ee5\u53ca\u77e5\u8bc6\u5b89\u5168\u548c\u79c1\u5bc6\u6027\u95ee\u9898", "stars": 5823, "source_graph_repo_id": 60675028, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 51, "name": "qdrant_client" }, { "id": 54, "name": "loguru" }, { "id": 68, "name": "sqlalchemy" }, { "id": 77, "name": "dotenv" }, { "id": 87, "name": "tokenizers" }, { "id": 149, "name": "jieba" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 189, "name": "accelerate" }, { "id": 206, "name": "langchain" }, { "id": 227, "name": "websocket" }, { "id": 246, "name": "sentence_transformers" }, { "id": 410, "name": "selenium" }, { "id": 513, "name": "auto_gptq" }, { "id": 550, "name": "rwkv" }, { "id": 574, "name": "websockets" }, { "id": 691, "name": "pdfplumber" }, { "id": 896, "name": "llama_cpp" }, { "id": 923, "name": "bottle" }, { "id": 1004, "name": "colorama" }, { "id": 1030, "name": "tls_client" }, { "id": 1031, "name": "bard" }, { "id": 1032, "name": "quora" }, { "id": 1033, "name": "defineSQL" }, { "id": 1034, "name": "pypasser" }, { "id": 1035, "name": "ora" }, { "id": 1036, "name": "names" }, { "id": 1037, "name": "phind" }, { "id": 1038, "name": "writesonic" }, { "id": 1039, "name": "wudao" }, { "id": 1040, "name": "t3nsor" }, { "id": 1041, "name": "you" }, { "id": 1042, "name": "browser_cookie3" }, { "id": 1043, "name": "curl_cffi" }, { "id": 1044, "name": "gerapy_auto_extractor" }, { "id": 1045, "name": "chardet" }, { "id": 1046, "name": "flagai" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1068, "name": "docx" } ], "last_checked_revision": "cc788b0599bfa57a2887ae1bfe6b25651bed7762\n" }, { "id": 84, "url": "https://github.com/PaddlePaddle/PaddleClas", "description": "A treasure chest for visual classification and recognition powered by PaddlePaddle", "stars": 5129, "source_graph_repo_id": 40476639, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 184, "name": "utils" }, { "id": 200, "name": "models" }, { "id": 386, "name": "mod" }, { "id": 430, "name": "urllib3" }, { "id": 452, "name": "onnxruntime" }, { "id": 455, "name": "prettytable" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 615, "name": "faiss" }, { "id": 659, "name": "easydict" }, { "id": 662, "name": "paddleslim" }, { "id": 670, "name": "visualdl" }, { "id": 713, "name": "paddle" }, { "id": 714, "name": "paddlehub" }, { "id": 730, "name": "auto_log" }, { "id": 733, "name": "paddle_serving_client" }, { "id": 738, "name": "paddle_serving_server_gpu" }, { "id": 744, "name": "paddle_serving_server" }, { "id": 1346, "name": "PyQt5" }, { "id": 1347, "name": "recommonmark" }, { "id": 1348, "name": "nvidia" }, { "id": 1349, "name": "hubserving" }, { "id": 1350, "name": "python" }, { "id": 1351, "name": "bcolz" }, { "id": 1352, "name": "paddle_serving_app" } ], "last_checked_revision": "4092cabf77fcbb066823560fb117ed8bca60c924\n" }, { "id": 85, "url": "https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin", "description": "A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using either Automatic or ComfyUI as a backend.", "stars": 5824, "source_graph_repo_id": 59871208, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 37, "name": "httpx" }, { "id": 82, "name": "PIL" }, { "id": 118, "name": "gradio" }, { "id": 135, "name": "pkg_resources" }, { "id": 212, "name": "duckduckgo_search" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" }, { "id": 1089, "name": "img2imgapi" }, { "id": 1090, "name": "search" }, { "id": 1091, "name": "serverMain" } ], "last_checked_revision": "6f6d4907adf0b6a6e562d084238f02ed6b7503c1\n" }, { "id": 86, "url": "https://github.com/zilliztech/gptcache", "description": "Semantic cache for LLMs. Fully integrated with LangChain and llama_index. ", "stars": 5832, "source_graph_repo_id": 60721802, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 51, "name": "qdrant_client" }, { "id": 56, "name": "redis" }, { "id": 58, "name": "pymilvus" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 118, "name": "gradio" }, { "id": 158, "name": "diffusers" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 246, "name": "sentence_transformers" }, { "id": 349, "name": "mock" }, { "id": 439, "name": "torchaudio" }, { "id": 452, "name": "onnxruntime" }, { "id": 528, "name": "docarray" }, { "id": 713, "name": "paddle" }, { "id": 742, "name": "hnswlib" }, { "id": 772, "name": "config" }, { "id": 798, "name": "fasttext" }, { "id": 903, "name": "cohere" }, { "id": 974, "name": "cachetools" }, { "id": 1028, "name": "ruamel" }, { "id": 1088, "name": "replicate" }, { "id": 1120, "name": "mongoengine" }, { "id": 1121, "name": "stability_sdk" }, { "id": 1122, "name": "redis_om" }, { "id": 1123, "name": "common" }, { "id": 1124, "name": "m2r2" } ], "last_checked_revision": "acc20f05400dabdcde451194e9bb73b986747685\n" }, { "id": 87, "url": "https://github.com/nonebot/nonebot2", "description": "\u8de8\u5e73\u53f0 Python \u5f02\u6b65\u804a\u5929\u673a\u5668\u4eba\u6846\u67b6 / Asynchronous multi-platform chatbot framework written in Python", "stars": 5207, "source_graph_repo_id": 42311036, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 184, "name": "utils" }, { "id": 886, "name": "werkzeug" }, { "id": 928, "name": "pygtrie" }, { "id": 929, "name": "yarl" }, { "id": 930, "name": "multidict" }, { "id": 931, "name": "nonebug" }, { "id": 932, "name": "tomli" }, { "id": 933, "name": "plugins" } ], "last_checked_revision": "580d6bab36b03c3567163651080a26b7085a98e3\n" }, { "id": 88, "url": "https://github.com/jesse-ai/jesse", "description": "An advanced crypto trading bot written in Python", "stars": 4984, "source_graph_repo_id": 38751220, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 45, "name": "arrow" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 260, "name": "IPython" }, { "id": 543, "name": "peewee" }, { "id": 640, "name": "numba" }, { "id": 954, "name": "statsmodels" }, { "id": 955, "name": "pydash" }, { "id": 956, "name": "numpy_groupies" }, { "id": 957, "name": "aioredis" }, { "id": 958, "name": "jesse_live" }, { "id": 959, "name": "mplfinance" }, { "id": 960, "name": "talib" }, { "id": 961, "name": "pywt" }, { "id": 962, "name": "tulipy" }, { "id": 963, "name": "simplejson" }, { "id": 964, "name": "timeloop" }, { "id": 965, "name": "playhouse" } ], "last_checked_revision": "3fcd8a1a657845c0e52d2d659747d2160b056913\n" }, { "id": 89, "url": "https://github.com/serge-chat/serge", "description": "A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.", "stars": 5339, "source_graph_repo_id": 60655278, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 86, "name": "sse_starlette" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 519, "name": "sentencepiece" }, { "id": 896, "name": "llama_cpp" }, { "id": 897, "name": "serge" } ], "last_checked_revision": "0686c3610328670ff6e830484504804567a50415\n" }, { "id": 90, "url": "https://github.com/zauberzeug/nicegui", "description": "Create web-based user interfaces with Python. The nice way.", "stars": 6255, "source_graph_repo_id": 55096589, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 98, "name": "pytz" }, { "id": 161, "name": "matplotlib" }, { "id": 206, "name": "langchain" }, { "id": 278, "name": "plotly" }, { "id": 399, "name": "orjson" }, { "id": 408, "name": "socketio" }, { "id": 410, "name": "selenium" }, { "id": 445, "name": "pygments" }, { "id": 457, "name": "launch" }, { "id": 497, "name": "prometheus_client" }, { "id": 509, "name": "docutils" }, { "id": 583, "name": "__main__" }, { "id": 874, "name": "fastapi_socketio" }, { "id": 1010, "name": "tortoise" }, { "id": 1067, "name": "dns" }, { "id": 1071, "name": "markdown2" }, { "id": 1077, "name": "simpy" }, { "id": 1078, "name": "geometry_msgs" }, { "id": 1079, "name": "isort" }, { "id": 1080, "name": "vbuild" }, { "id": 1081, "name": "icecream" }, { "id": 1082, "name": "rclpy" }, { "id": 1083, "name": "aiofiles" }, { "id": 1084, "name": "webview" }, { "id": 1085, "name": "launch_ros" }, { "id": 1086, "name": "win32api" }, { "id": 1087, "name": "netifaces" }, { "id": 1088, "name": "replicate" }, { "id": 2631, "name": "cairo" }, { "id": 3121, "name": "ifaddr" }, { "id": 4664, "name": "descope" }, { "id": 4880, "name": "nicegui_highcharts" } ], "last_checked_revision": "924720a67da80a7b2fbe9ce8809cc590bfeef541\n" }, { "id": 91, "url": "https://github.com/feast-dev/feast", "description": "Feature Store for Machine Learning", "stars": 5009, "source_graph_repo_id": 37346145, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 7, "name": "great_expectations" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 47, "name": "tenacity" }, { "id": 49, "name": "grpc" }, { "id": 60, "name": "psycopg2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 75, "name": "importlib_resources" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 98, "name": "pytz" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 156, "name": "tabulate" }, { "id": 215, "name": "cryptography" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 261, "name": "pyarrow" }, { "id": 355, "name": "importlib_metadata" }, { "id": 370, "name": "dask" }, { "id": 373, "name": "tests" }, { "id": 418, "name": "joblib" }, { "id": 445, "name": "pygments" }, { "id": 479, "name": "regex" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 565, "name": "s3fs" }, { "id": 712, "name": "mmh3" }, { "id": 734, "name": "pymysql" }, { "id": 765, "name": "attr" }, { "id": 778, "name": "docker" }, { "id": 794, "name": "moto" }, { "id": 819, "name": "pyspark" }, { "id": 951, "name": "pytest_lazyfixture" }, { "id": 1004, "name": "colorama" }, { "id": 1110, "name": "grpc_health" }, { "id": 1115, "name": "grpc_reflection" }, { "id": 1125, "name": "bytewax" }, { "id": 1126, "name": "assertpy" }, { "id": 1127, "name": "fissix" }, { "id": 1128, "name": "cassandra" }, { "id": 1129, "name": "testcontainers" }, { "id": 1130, "name": "mangum" }, { "id": 1131, "name": "minio" }, { "id": 1132, "name": "snowflake" }, { "id": 1133, "name": "hazelcast" }, { "id": 1134, "name": "kubernetes" }, { "id": 1135, "name": "_snowflake" }, { "id": 1136, "name": "proto" }, { "id": 1137, "name": "happybase" }, { "id": 1138, "name": "feast" }, { "id": 1139, "name": "dill" }, { "id": 1140, "name": "gunicorn" }, { "id": 1141, "name": "bowler" }, { "id": 1142, "name": "typeguard" } ], "last_checked_revision": "052182bcca046e35456674fc7d524825882f4b35\n" }, { "id": 92, "url": "https://github.com/refinedev/refine", "description": "A React Framework for building internal tools, admin panels, dashboards & B2B apps with unmatched flexibility.", "stars": 17544, "source_graph_repo_id": 56090578, "dependencies": [], "last_checked_revision": null }, { "id": 93, "url": "https://github.com/Shaunwei/RealChar", "description": "\ud83c\udf99\ufe0f\ud83e\udd16Create, Customize and Talk to your AI Character/Companion in Realtime (All in One Codebase!). Have a natural seamless conversation with AI everywhere (mobile, web and terminal) using LLM OpenAI GPT3.5/4, Anthropic Claude2, Chroma Vector DB, Whisper Speech2Text, ElevenLabs Text2Speech\ud83c\udf99\ufe0f\ud83e\udd16", "stars": 5559, "source_graph_repo_id": 61347997, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 55, "name": "pgvector" }, { "id": 57, "name": "llama_index" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 439, "name": "torchaudio" }, { "id": 574, "name": "websockets" }, { "id": 648, "name": "pyaudio" }, { "id": 698, "name": "pydub" }, { "id": 1429, "name": "aioconsole" }, { "id": 1436, "name": "emoji" }, { "id": 1500, "name": "readerwriterlock" }, { "id": 1629, "name": "faster_whisper" }, { "id": 1730, "name": "firebase_admin" }, { "id": 1740, "name": "twilio" }, { "id": 1748, "name": "speech_recognition" }, { "id": 1842, "name": "opencc" }, { "id": 3755, "name": "simpleaudio" }, { "id": 4037, "name": "multion" }, { "id": 5698, "name": "whisperx" }, { "id": 5699, "name": "rebyte_langchain" } ], "last_checked_revision": "e0ed4e0e0aab676a829d99895f24a783a0d722f9\n" }, { "id": 94, "url": "https://github.com/lukas-blecher/LaTeX-OCR", "description": "pix2tex: Using a ViT to convert images of equations into LaTeX code.", "stars": 9313, "source_graph_repo_id": 43242207, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 87, "name": "tokenizers" }, { "id": 105, "name": "timm" }, { "id": 111, "name": "einops" }, { "id": 127, "name": "tqdm" }, { "id": 174, "name": "albumentations" }, { "id": 182, "name": "wandb" }, { "id": 415, "name": "torchtext" }, { "id": 445, "name": "pygments" }, { "id": 1735, "name": "pynput" }, { "id": 2328, "name": "PyQt6" }, { "id": 2473, "name": "Levenshtein" }, { "id": 2487, "name": "munch" }, { "id": 2825, "name": "PySide6" }, { "id": 3058, "name": "imagesize" }, { "id": 3059, "name": "x_transformers" }, { "id": 3060, "name": "screeninfo" } ], "last_checked_revision": "1781514fb8c92ea9f94057295fdae0e683f4648e\n" }, { "id": 95, "url": "https://github.com/haotian-liu/LLaVA", "description": "[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.", "stars": 12078, "source_graph_repo_id": 60831546, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 82, "name": "PIL" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 145, "name": "fire" }, { "id": 151, "name": "bitsandbytes" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 516, "name": "shortuuid" }, { "id": 551, "name": "deepspeed" }, { "id": 704, "name": "cog" }, { "id": 723, "name": "editdistance" }, { "id": 1586, "name": "triton_pre_mlir" }, { "id": 2433, "name": "pycocoevalcap" } ], "last_checked_revision": "9a26bd1435b4ac42c282757f2c16d34226575e96\n" }, { "id": 96, "url": "https://github.com/zhanymkanov/fastapi-best-practices", "description": "FastAPI Best Practices and Conventions we used at our startup", "stars": 5805, "source_graph_repo_id": 58846652, "dependencies": [], "last_checked_revision": null }, { "id": 97, "url": "https://github.com/realpython/materials", "description": "Bonus materials, exercises, and example projects for our Python tutorials", "stars": 4531, "source_graph_repo_id": 36246068, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 49, "name": "grpc" }, { "id": 56, "name": "redis" }, { "id": 60, "name": "psycopg2" }, { "id": 62, "name": "app" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 75, "name": "importlib_resources" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 183, "name": "openai" }, { "id": 186, "name": "seaborn" }, { "id": 224, "name": "google" }, { "id": 237, "name": "polars" }, { "id": 246, "name": "sentence_transformers" }, { "id": 251, "name": "playwright" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 272, "name": "bson" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 372, "name": "this" }, { "id": 380, "name": "core" }, { "id": 428, "name": "marshmallow" }, { "id": 436, "name": "mpl_toolkits" }, { "id": 445, "name": "pygments" }, { "id": 450, "name": "reportlab" }, { "id": 485, "name": "lmdb" }, { "id": 592, "name": "dash" }, { "id": 620, "name": "networkx" }, { "id": 623, "name": "more_itertools" }, { "id": 628, "name": "magic" }, { "id": 644, "name": "connexion" }, { "id": 690, "name": "markdown" }, { "id": 772, "name": "config" }, { "id": 796, "name": "pygame" }, { "id": 812, "name": "faker" }, { "id": 813, "name": "chalice" }, { "id": 824, "name": "bokeh" }, { "id": 932, "name": "tomli" }, { "id": 933, "name": "plugins" }, { "id": 937, "name": "invoke" }, { "id": 948, "name": "apscheduler" }, { "id": 1004, "name": "colorama" }, { "id": 1021, "name": "oauthlib" }, { "id": 1077, "name": "simpy" }, { "id": 1083, "name": "aiofiles" }, { "id": 1090, "name": "search" }, { "id": 1120, "name": "mongoengine" }, { "id": 1139, "name": "dill" }, { "id": 1159, "name": "projects" }, { "id": 1256, "name": "rest_framework" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1346, "name": "PyQt5" }, { "id": 1430, "name": "parse" }, { "id": 1474, "name": "wtforms" }, { "id": 1477, "name": "fastavro" }, { "id": 1535, "name": "flask_login" }, { "id": 1558, "name": "pika" }, { "id": 1656, "name": "graphene" }, { "id": 1707, "name": "flask_bootstrap" }, { "id": 1718, "name": "segno" }, { "id": 1740, "name": "twilio" }, { "id": 2018, "name": "pyinstrument" }, { "id": 2020, "name": "js" }, { "id": 2033, "name": "pyodide" }, { "id": 2265, "name": "project" }, { "id": 2271, "name": "flask_wtf" }, { "id": 2293, "name": "serializers" }, { "id": 2294, "name": "grpc_interceptor" }, { "id": 2295, "name": "rptodo" }, { "id": 2296, "name": "tic_tac_toe" }, { "id": 2297, "name": "csv_reader" }, { "id": 2298, "name": "data_repos" }, { "id": 2299, "name": "django_apscheduler" }, { "id": 2300, "name": "cython_example" }, { "id": 2301, "name": "pybind11_example" }, { "id": 2302, "name": "validators" }, { "id": 2303, "name": "browser" }, { "id": 2304, "name": "bpdb" }, { "id": 2305, "name": "arcade" }, { "id": 2306, "name": "pgzrun" }, { "id": 2307, "name": "kafka3" }, { "id": 2308, "name": "podcasts" }, { "id": 2309, "name": "blog" }, { "id": 2310, "name": "folium" }, { "id": 2311, "name": "mechanicalsoup" }, { "id": 2312, "name": "codetiming" }, { "id": 2313, "name": "django_heroku" }, { "id": 2314, "name": "microbit" }, { "id": 2315, "name": "wx" }, { "id": 2316, "name": "shops" }, { "id": 2317, "name": "textacy" }, { "id": 2318, "name": "marshmallow_sqlalchemy" }, { "id": 2319, "name": "terms" }, { "id": 2320, "name": "arcade_platformer" }, { "id": 2321, "name": "face_recognition" }, { "id": 2322, "name": "flask_marshmallow" }, { "id": 2323, "name": "pint" }, { "id": 2324, "name": "treelib" }, { "id": 2325, "name": "faker_commerce" }, { "id": 2326, "name": "graphene_django" }, { "id": 2327, "name": "pytest_unordered" }, { "id": 2328, "name": "PyQt6" }, { "id": 2329, "name": "snake_corp" }, { "id": 2330, "name": "eyed3" }, { "id": 2331, "name": "pypdf" }, { "id": 2332, "name": "cffi" }, { "id": 2333, "name": "rpchecker" }, { "id": 2334, "name": "cffi_example" }, { "id": 2335, "name": "feedparser" }, { "id": 2336, "name": "page_tracker" }, { "id": 2337, "name": "javascript" }, { "id": 2338, "name": "feedback" }, { "id": 2339, "name": "adventurelib" }, { "id": 2340, "name": "todo_app" }, { "id": 2341, "name": "cards" }, { "id": 2342, "name": "maze_solver" }, { "id": 2474, "name": "cython" }, { "id": 2884, "name": "jsonpickle" }, { "id": 2948, "name": "PySimpleGUI" }, { "id": 4439, "name": "pages" }, { "id": 4595, "name": "fibmodule" }, { "id": 5080, "name": "dmd_app" }, { "id": 5198, "name": "rplife" }, { "id": 5297, "name": "fastparquet" }, { "id": 5298, "name": "users_pb2" }, { "id": 5577, "name": "board" } ], "last_checked_revision": "4cf4dc674ba6ccab7b46480fb41b290e0633fcab\n" }, { "id": 98, "url": "https://github.com/Atri-Labs/atrilabs-engine", "description": "\ud83e\uddd8\u200d\u2642\ufe0f Open-source no-code & code web app builder", "stars": 4163, "source_graph_repo_id": 58598443, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 76, "name": "click" }, { "id": 92, "name": "pymongo" }, { "id": 408, "name": "socketio" }, { "id": 936, "name": "toml" }, { "id": 1485, "name": "questionary" }, { "id": 3854, "name": "atri_core" }, { "id": 3855, "name": "pipenv" }, { "id": 3856, "name": "atri_components" }, { "id": 3857, "name": "win32pipe" }, { "id": 3858, "name": "win32file" }, { "id": 3859, "name": "atri" } ], "last_checked_revision": "b643c99ea1c46f954a6da2bbff9ae8140c2b16a8\n" }, { "id": 99, "url": "https://github.com/aimhubio/aim", "description": "Aim \ud83d\udcab \u2014 An easy-to-use & supercharged open-source experiment tracker.", "stars": 4431, "source_graph_repo_id": 40483889, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 57, "name": "llama_index" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 97, "name": "omegaconf" }, { "id": 98, "name": "pytz" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 154, "name": "datasets" }, { "id": 156, "name": "tabulate" }, { "id": 159, "name": "lightning" }, { "id": 165, "name": "evaluate" }, { "id": 206, "name": "langchain" }, { "id": 215, "name": "cryptography" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 278, "name": "plotly" }, { "id": 355, "name": "importlib_metadata" }, { "id": 409, "name": "watchdog" }, { "id": 424, "name": "aim" }, { "id": 426, "name": "lightgbm" }, { "id": 442, "name": "filelock" }, { "id": 479, "name": "regex" }, { "id": 495, "name": "Cython" }, { "id": 533, "name": "optuna" }, { "id": 574, "name": "websockets" }, { "id": 607, "name": "tensorboard" }, { "id": 713, "name": "paddle" }, { "id": 743, "name": "parameterized" }, { "id": 757, "name": "fastcore" }, { "id": 787, "name": "mxnet" }, { "id": 799, "name": "xgboost" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 857, "name": "keras" }, { "id": 872, "name": "catboost" }, { "id": 974, "name": "cachetools" }, { "id": 1100, "name": "fastai" }, { "id": 1546, "name": "dvc" }, { "id": 1887, "name": "RestrictedPython" }, { "id": 1918, "name": "dm_env" }, { "id": 1984, "name": "dm_control" }, { "id": 2000, "name": "prophet" }, { "id": 2018, "name": "pyinstrument" }, { "id": 2020, "name": "js" }, { "id": 2047, "name": "stable_baselines3" }, { "id": 2474, "name": "cython" }, { "id": 2718, "name": "aimrocks" }, { "id": 2719, "name": "segment" }, { "id": 2720, "name": "deeplake" }, { "id": 2721, "name": "unit_tests" }, { "id": 2722, "name": "kerastuner" }, { "id": 2723, "name": "aimstack" }, { "id": 2724, "name": "acme" }, { "id": 2725, "name": "aim_ui" }, { "id": 2726, "name": "pyximport" }, { "id": 2727, "name": "aimcore" }, { "id": 2728, "name": "asp" }, { "id": 2729, "name": "ignite" }, { "id": 2730, "name": "khash" }, { "id": 2731, "name": "hub" }, { "id": 4637, "name": "langchain_debugger" }, { "id": 4638, "name": "base" }, { "id": 4639, "name": "llamaindex_observer" }, { "id": 4640, "name": "experiment_tracker" }, { "id": 4766, "name": "aimrecords" } ], "last_checked_revision": "51c8f5d8544bb626d4f43d8c671ca3506de0f6da\n" }, { "id": 100, "url": "https://github.com/Netflix/dispatch", "description": "All of the ad-hoc things you're doing to manage incidents today, done for you, and much more!", "stars": 4382, "source_graph_repo_id": 40017202, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 35, "name": "slowapi" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 61, "name": "alembic" }, { "id": 64, "name": "jose" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 74, "name": "sentry_sdk" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 98, "name": "pytz" }, { "id": 135, "name": "pkg_resources" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 183, "name": "openai" }, { "id": 210, "name": "slack_sdk" }, { "id": 222, "name": "jira" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 544, "name": "email_validator" }, { "id": 548, "name": "markupsafe" }, { "id": 690, "name": "markdown" }, { "id": 812, "name": "faker" }, { "id": 954, "name": "statsmodels" }, { "id": 974, "name": "cachetools" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1308, "name": "slugify" }, { "id": 1413, "name": "bcrypt" }, { "id": 1443, "name": "factory" }, { "id": 2040, "name": "schedule" }, { "id": 2134, "name": "jsonpath_ng" }, { "id": 2545, "name": "blockkit" }, { "id": 2546, "name": "sentry_asgi" }, { "id": 2547, "name": "sortedcontainers" }, { "id": 2548, "name": "slack_bolt" }, { "id": 2549, "name": "dispatch" }, { "id": 2550, "name": "msal" }, { "id": 2551, "name": "sqlalchemy_filters" }, { "id": 2552, "name": "pdpyras" }, { "id": 2553, "name": "duo_client" }, { "id": 2554, "name": "metatron" }, { "id": 2555, "name": "sh" }, { "id": 2556, "name": "atlassian" } ], "last_checked_revision": "047aa05cdb7b12bca5263673fa96826549c594c6\n" }, { "id": 101, "url": "https://github.com/pywebio/PyWebIO", "description": "Write interactive web app in script way.", "stars": 4187, "source_graph_repo_id": 40587119, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 18, "name": "setuptools" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 82, "name": "PIL" }, { "id": 183, "name": "openai" }, { "id": 278, "name": "plotly" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 351, "name": "sphinx" }, { "id": 410, "name": "selenium" }, { "id": 509, "name": "docutils" }, { "id": 574, "name": "websockets" }, { "id": 824, "name": "bokeh" }, { "id": 886, "name": "werkzeug" }, { "id": 909, "name": "tornado" }, { "id": 2037, "name": "pyecharts" }, { "id": 2732, "name": "PyInstaller" }, { "id": 2733, "name": "pywebio_battery" }, { "id": 2734, "name": "percy" }, { "id": 2735, "name": "cutecharts" }, { "id": 2736, "name": "user_agents" } ], "last_checked_revision": "51ece4a8462cd1578eacbb6d7e60d6ff44864844\n" }, { "id": 102, "url": "https://github.com/elastic/elasticsearch-py", "description": "Official Python client for Elasticsearch", "stars": 4067, "source_graph_repo_id": 48877, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 127, "name": "tqdm" }, { "id": 207, "name": "black" }, { "id": 430, "name": "urllib3" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 621, "name": "elastic_transport" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1466, "name": "nox" }, { "id": 1544, "name": "unasync" }, { "id": 1632, "name": "elasticapm" }, { "id": 1633, "name": "mapbox_vector_tile" }, { "id": 1634, "name": "elasticsearch8" } ], "last_checked_revision": "80a27926c851c0f7adbf9a2cd462fc898688e3f3\n" }, { "id": 103, "url": "https://github.com/EstrellaXD/Auto_Bangumi", "description": "AutoBangumi - \u5168\u81ea\u52a8\u8ffd\u756a\u5de5\u5177", "stars": 5182, "source_graph_repo_id": 57925692, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 77, "name": "dotenv" }, { "id": 86, "name": "sse_starlette" }, { "id": 236, "name": "sqlmodel" }, { "id": 396, "name": "module" }, { "id": 430, "name": "urllib3" }, { "id": 941, "name": "semver" }, { "id": 1761, "name": "socks" }, { "id": 2527, "name": "aria2p" }, { "id": 3779, "name": "qbittorrentapi" } ], "last_checked_revision": "5efb9a33ca4cd32ab9088ff5319937235d274bdc\n" }, { "id": 104, "url": "https://github.com/lepture/authlib", "description": "The ultimate Python library in building OAuth, OpenID Connect clients and servers. JWS,JWE,JWK,JWA,JWT included.", "stars": 4094, "source_graph_repo_id": 35596802, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 37, "name": "httpx" }, { "id": 68, "name": "sqlalchemy" }, { "id": 106, "name": "anyio" }, { "id": 215, "name": "cryptography" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 886, "name": "werkzeug" }, { "id": 1259, "name": "Cryptodome" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1510, "name": "livereload" }, { "id": 1511, "name": "cachelib" } ], "last_checked_revision": "4a4128821ede2396c2614548ec12d622ca0e98b1\n" }, { "id": 105, "url": "https://github.com/UFund-Me/Qbot", "description": "[\ud83d\udd25updating ...] AI \u81ea\u52a8\u91cf\u5316\u4ea4\u6613\u673a\u5668\u4eba AI-powered Quantitative Investment Research Platform. \ud83d\udcc3 online docs: https://ufund-me.github.io/Qbot \u2728 :news: qbot-mini: https://github.com/Charmve/iQuant", "stars": 5064, "source_graph_repo_id": 59745098, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 64, "name": "jose" }, { "id": 66, "name": "celery" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 92, "name": "pymongo" }, { "id": 98, "name": "pytz" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 139, "name": "model" }, { "id": 140, "name": "scipy" }, { "id": 145, "name": "fire" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 186, "name": "seaborn" }, { "id": 260, "name": "IPython" }, { "id": 278, "name": "plotly" }, { "id": 292, "name": "flask" }, { "id": 426, "name": "lightgbm" }, { "id": 430, "name": "urllib3" }, { "id": 491, "name": "data" }, { "id": 497, "name": "prometheus_client" }, { "id": 562, "name": "gym" }, { "id": 612, "name": "pytesseract" }, { "id": 643, "name": "Crypto" }, { "id": 734, "name": "pymysql" }, { "id": 845, "name": "stable_baselines" }, { "id": 857, "name": "keras" }, { "id": 948, "name": "apscheduler" }, { "id": 960, "name": "talib" }, { "id": 963, "name": "simplejson" }, { "id": 1007, "name": "motor" }, { "id": 1123, "name": "common" }, { "id": 1205, "name": "rsa" }, { "id": 1640, "name": "github" }, { "id": 1740, "name": "twilio" }, { "id": 1803, "name": "logbook" }, { "id": 2037, "name": "pyecharts" }, { "id": 2100, "name": "data_utils" }, { "id": 2124, "name": "libs" }, { "id": 2315, "name": "wx" }, { "id": 2518, "name": "pandas_datareader" }, { "id": 2790, "name": "yfinance" }, { "id": 2868, "name": "tushare" }, { "id": 2870, "name": "baostock" }, { "id": 2873, "name": "pyfolio" }, { "id": 2947, "name": "run" }, { "id": 2957, "name": "parsel" }, { "id": 4107, "name": "pylab" }, { "id": 4283, "name": "jqdatasdk" }, { "id": 4284, "name": "configure" }, { "id": 4285, "name": "easytrader" }, { "id": 4286, "name": "wxpy" }, { "id": 4287, "name": "backtrader_ctp_api" }, { "id": 4288, "name": "easyquotation" }, { "id": 4289, "name": "pync" }, { "id": 4290, "name": "ddddocr" }, { "id": 4291, "name": "get_data" }, { "id": 4292, "name": "rlkit" }, { "id": 4293, "name": "plot_line" }, { "id": 4294, "name": "AlgoPlus" }, { "id": 4295, "name": "easyquant" }, { "id": 4296, "name": "jqdata" }, { "id": 4297, "name": "akshare" }, { "id": 4298, "name": "datacompy" }, { "id": 4299, "name": "qlib" }, { "id": 4300, "name": "mpl_finance" }, { "id": 4301, "name": "backtest_strategies" }, { "id": 4302, "name": "backtest" }, { "id": 4303, "name": "efinance" }, { "id": 4304, "name": "backtrader" }, { "id": 4305, "name": "quant_project" }, { "id": 4306, "name": "kline" }, { "id": 4307, "name": "alphalens" }, { "id": 4308, "name": "dump_bin" }, { "id": 4309, "name": "data_formatters" }, { "id": 4310, "name": "xalpha" }, { "id": 4526, "name": "vnpy" }, { "id": 4527, "name": "demjson" }, { "id": 4528, "name": "xcsc_tushare" } ], "last_checked_revision": "6906a825c3cec89a10ba3819fae69f26485e5e20\n" }, { "id": 106, "url": "https://github.com/evidentlyai/evidently", "description": "Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b", "stars": 4270, "source_graph_repo_id": 42626510, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 68, "name": "sqlalchemy" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 252, "name": "fastapi_utils" }, { "id": 260, "name": "IPython" }, { "id": 273, "name": "airflow" }, { "id": 278, "name": "plotly" }, { "id": 292, "name": "flask" }, { "id": 409, "name": "watchdog" }, { "id": 418, "name": "joblib" }, { "id": 425, "name": "fsspec" }, { "id": 442, "name": "filelock" }, { "id": 497, "name": "prometheus_client" }, { "id": 772, "name": "config" }, { "id": 819, "name": "pyspark" }, { "id": 886, "name": "werkzeug" }, { "id": 1060, "name": "pendulum" }, { "id": 1333, "name": "evidently" }, { "id": 1548, "name": "iterative_telemetry" }, { "id": 1715, "name": "wheel" }, { "id": 2217, "name": "prefect" }, { "id": 2531, "name": "appdirs" }, { "id": 2970, "name": "fastapi_restful" }, { "id": 2971, "name": "streamlit_app" } ], "last_checked_revision": "6f9da2faa07d364e8f9a0afad67a4467ac257bb8\n" }, { "id": 107, "url": "https://github.com/graviraja/MLOps-Basics", "description": "", "stars": 3854, "source_graph_repo_id": 53541648, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 97, "name": "omegaconf" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 161, "name": "matplotlib" }, { "id": 182, "name": "wandb" }, { "id": 186, "name": "seaborn" }, { "id": 419, "name": "torchmetrics" }, { "id": 449, "name": "hydra" }, { "id": 452, "name": "onnxruntime" } ], "last_checked_revision": "13060e0295c7bbc1551e82fe49b6788a5a13ad97\n" }, { "id": 108, "url": "https://github.com/tortoise/tortoise-orm", "description": "Familiar asyncio ORM for python, built with relations in mind", "stars": 4017, "source_graph_repo_id": 36699026, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 23, "name": "aiosqlite" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 98, "name": "pytz" }, { "id": 147, "name": "sanic" }, { "id": 196, "name": "asyncpg" }, { "id": 351, "name": "sphinx" }, { "id": 399, "name": "orjson" }, { "id": 617, "name": "astroid" }, { "id": 630, "name": "pylint" }, { "id": 734, "name": "pymysql" }, { "id": 898, "name": "pypika" }, { "id": 906, "name": "quart" }, { "id": 925, "name": "blacksheep" }, { "id": 1006, "name": "aiomysql" }, { "id": 1239, "name": "pyodbc" }, { "id": 1405, "name": "asgi_lifespan" }, { "id": 1489, "name": "typed_ast" }, { "id": 1490, "name": "asyncodbc" }, { "id": 1491, "name": "iso8601" }, { "id": 1492, "name": "psycopg_pool" }, { "id": 1493, "name": "psycopg" }, { "id": 1494, "name": "asyncmy" }, { "id": 1495, "name": "ciso8601" } ], "last_checked_revision": "6f18bb9b4130e760d64e43c44ea069aeb676154c\n" }, { "id": 109, "url": "https://github.com/h2oai/wave", "description": "Realtime Web Apps and Dashboards for Python and R", "stars": 3768, "source_graph_repo_id": 42653894, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 54, "name": "loguru" }, { "id": 71, "name": "cv2" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 161, "name": "matplotlib" }, { "id": 251, "name": "playwright" }, { "id": 278, "name": "plotly" }, { "id": 400, "name": "altair" }, { "id": 573, "name": "inquirer" }, { "id": 812, "name": "faker" }, { "id": 824, "name": "bokeh" }, { "id": 2001, "name": "h2o" }, { "id": 2408, "name": "vega_datasets" }, { "id": 2972, "name": "jedi" }, { "id": 3137, "name": "server" }, { "id": 3138, "name": "pygls" }, { "id": 3139, "name": "h2o_wave" }, { "id": 3140, "name": "parso" }, { "id": 3141, "name": "h2o_lightwave_web" }, { "id": 3142, "name": "hatchling" }, { "id": 3143, "name": "h2o_lightwave" }, { "id": 3144, "name": "lsprotocol" }, { "id": 3145, "name": "h2o_wave_university" } ], "last_checked_revision": "7887ef65cf037aea5cc6e845ea8a3193ccdb8261\n" }, { "id": 110, "url": "https://github.com/postgresml/postgresml", "description": "PostgresML is an AI application database. Download open source models from Huggingface, or train your own, to create and index LLM embeddings, generate text, or make online predictions using only SQL. ", "stars": 3677, "source_graph_repo_id": 57781679, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 43, "name": "pinecone" }, { "id": 56, "name": "redis" }, { "id": 77, "name": "dotenv" }, { "id": 96, "name": "rich" }, { "id": 127, "name": "tqdm" }, { "id": 154, "name": "datasets" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 246, "name": "sentence_transformers" }, { "id": 266, "name": "discord" }, { "id": 292, "name": "flask" }, { "id": 399, "name": "orjson" }, { "id": 426, "name": "lightgbm" }, { "id": 513, "name": "auto_gptq" }, { "id": 720, "name": "rouge" }, { "id": 737, "name": "pip" }, { "id": 799, "name": "xgboost" }, { "id": 872, "name": "catboost" }, { "id": 898, "name": "pypika" }, { "id": 900, "name": "InstructorEmbedding" }, { "id": 1060, "name": "pendulum" }, { "id": 1386, "name": "sacrebleu" }, { "id": 1492, "name": "psycopg_pool" }, { "id": 1493, "name": "psycopg" }, { "id": 2331, "name": "pypdf" }, { "id": 2548, "name": "slack_bolt" }, { "id": 3780, "name": "pgml" }, { "id": 3781, "name": "ctransformers" } ], "last_checked_revision": "689ac9e03a2873e4cac3c4143cec0e953eba508a\n" }, { "id": 111, "url": "https://github.com/Evil0ctal/Douyin_TikTok_Download_API", "description": "\ud83d\ude80\u300cDouyin_TikTok_Download_API\u300d\u662f\u4e00\u4e2a\u5f00\u7bb1\u5373\u7528\u7684\u9ad8\u6027\u80fd\u5f02\u6b65\u6296\u97f3\u3001\u5feb\u624b\u3001TikTok\u3001Bilibili\u6570\u636e\u722c\u53d6\u5de5\u5177\uff0c\u652f\u6301API\u8c03\u7528\uff0c\u5728\u7ebf\u6279\u91cf\u89e3\u6790\u53ca\u4e0b\u8f7d\u3002", "stars": 5083, "source_graph_repo_id": 56483258, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 35, "name": "slowapi" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 2833, "name": "execjs" }, { "id": 3652, "name": "pywebio" } ], "last_checked_revision": "5894743f0f46ab6b0a13727973fdad261a733741\n" }, { "id": 112, "url": "https://github.com/prometheus/client_python", "description": "Prometheus instrumentation library for Python applications", "stars": 3658, "source_graph_repo_id": 81026, "dependencies": [ { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 259, "name": "asgiref" }, { "id": 1235, "name": "twisted" } ], "last_checked_revision": "2dcd17efd0ce2f0a1ad15cb3c150ffcdc42ced65\n" }, { "id": 113, "url": "https://github.com/mealie-recipes/mealie", "description": "Mealie is a self hosted recipe manager and meal planner with a RestAPI backend and a reactive frontend application built in Vue for a pleasant user experience for the whole family. Easily add recipes into your database by providing the url and mealie will automatically import the relevant data or add a family recipe with the UI editor", "stars": 4183, "source_graph_repo_id": 42813296, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 207, "name": "black" }, { "id": 399, "name": "orjson" }, { "id": 633, "name": "rapidfuzz" }, { "id": 1079, "name": "isort" }, { "id": 1272, "name": "ldap" }, { "id": 1308, "name": "slugify" }, { "id": 1792, "name": "isodate" }, { "id": 2215, "name": "apprise" }, { "id": 2976, "name": "humps" }, { "id": 2977, "name": "recipe_scrapers" }, { "id": 2978, "name": "text_unidecode" }, { "id": 2979, "name": "pydantic2ts" }, { "id": 2980, "name": "w3lib" }, { "id": 2981, "name": "extruct" } ], "last_checked_revision": "76f7ebd12bd3a02eb9cb2d8ee03027016a295316\n" }, { "id": 114, "url": "https://github.com/FlagAI-Open/FlagAI", "description": "FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.", "stars": 3684, "source_graph_repo_id": 58031892, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 94, "name": "clip" }, { "id": 97, "name": "omegaconf" }, { "id": 105, "name": "timm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 144, "name": "megatron" }, { "id": 149, "name": "jieba" }, { "id": 151, "name": "bitsandbytes" }, { "id": 152, "name": "rouge_score" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 158, "name": "diffusers" }, { "id": 180, "name": "apex" }, { "id": 182, "name": "wandb" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 191, "name": "taming" }, { "id": 223, "name": "botocore" }, { "id": 259, "name": "asgiref" }, { "id": 420, "name": "horovod" }, { "id": 461, "name": "ftfy" }, { "id": 479, "name": "regex" }, { "id": 519, "name": "sentencepiece" }, { "id": 521, "name": "jsonlines" }, { "id": 551, "name": "deepspeed" }, { "id": 615, "name": "faiss" }, { "id": 1380, "name": "fastchat" }, { "id": 1386, "name": "sacrebleu" }, { "id": 1583, "name": "webdataset" }, { "id": 1585, "name": "braceexpand" }, { "id": 3016, "name": "torch_optimizer" }, { "id": 3782, "name": "bmtrain" }, { "id": 3783, "name": "bminf" }, { "id": 3784, "name": "adan" }, { "id": 3785, "name": "localAttention" }, { "id": 3786, "name": "lion_pytorch" }, { "id": 3787, "name": "kernels" }, { "id": 4745, "name": "process_sql" }, { "id": 4746, "name": "exec_eval" }, { "id": 4747, "name": "init_path" } ], "last_checked_revision": "bad326e79a926d700edbc52a82bf8c5cfe43495d\n" }, { "id": 115, "url": "https://github.com/strawberry-graphql/strawberry", "description": "A GraphQL library for Python that leverages type annotations \ud83c\udf53", "stars": 3594, "source_graph_repo_id": 38023634, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 74, "name": "sentry_sdk" }, { "id": 96, "name": "rich" }, { "id": 147, "name": "sanic" }, { "id": 259, "name": "asgiref" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 430, "name": "urllib3" }, { "id": 445, "name": "pygments" }, { "id": 500, "name": "graphql" }, { "id": 511, "name": "mypy" }, { "id": 531, "name": "opentelemetry" }, { "id": 539, "name": "pydantic_core" }, { "id": 813, "name": "chalice" }, { "id": 906, "name": "quart" }, { "id": 946, "name": "pytest_mock" }, { "id": 953, "name": "freezegun" }, { "id": 1000, "name": "starlite" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1466, "name": "nox" }, { "id": 1528, "name": "channels" }, { "id": 1699, "name": "astunparse" }, { "id": 2220, "name": "nox_poetry" }, { "id": 2221, "name": "pluggy" }, { "id": 2222, "name": "strawberry_django" }, { "id": 2223, "name": "pytest_snapshot" }, { "id": 2224, "name": "libcst" }, { "id": 2225, "name": "ddtrace" }, { "id": 2226, "name": "pytest_codspeed" } ], "last_checked_revision": "6c7b11f2a3df2073b9a275f1e65e8b971747c3a0\n" }, { "id": 116, "url": "https://github.com/polyaxon/polyaxon", "description": "MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle", "stars": 3427, "source_graph_repo_id": 1297848, "dependencies": [], "last_checked_revision": null }, { "id": 117, "url": "https://github.com/Kanaries/Rath", "description": "Next generation of automated data exploratory analysis and visualization platform.", "stars": 3708, "source_graph_repo_id": 39231075, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 81, "name": "boto3" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 200, "name": "models" }, { "id": 255, "name": "spacy" }, { "id": 292, "name": "flask" }, { "id": 587, "name": "flask_cors" }, { "id": 741, "name": "gensim" }, { "id": 799, "name": "xgboost" }, { "id": 1463, "name": "gevent" }, { "id": 2384, "name": "bp" }, { "id": 2385, "name": "database" }, { "id": 2386, "name": "pyscagnostics" }, { "id": 2387, "name": "algorithms" }, { "id": 2388, "name": "dowhy" }, { "id": 2389, "name": "causallearn" } ], "last_checked_revision": "bb227ab73f4cc21bb341af283147b77dd0ee3ac2\n" }, { "id": 118, "url": "https://github.com/confluentinc/confluent-kafka-python", "description": "Confluent's Kafka Python Client", "stars": 3506, "source_graph_repo_id": 114074, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 72, "name": "jsonschema" }, { "id": 81, "name": "boto3" }, { "id": 122, "name": "psutil" }, { "id": 155, "name": "six" }, { "id": 217, "name": "confluent_kafka" }, { "id": 224, "name": "google" }, { "id": 290, "name": "requests_mock" }, { "id": 430, "name": "urllib3" }, { "id": 502, "name": "pyflakes" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 577, "name": "pympler" }, { "id": 637, "name": "datadog" }, { "id": 759, "name": "progress" }, { "id": 932, "name": "tomli" }, { "id": 1477, "name": "fastavro" }, { "id": 1478, "name": "avro" }, { "id": 1479, "name": "trivup" } ], "last_checked_revision": "bb4d01398afef7b2787f229cc629346ad9ecd06e\n" }, { "id": 119, "url": "https://github.com/mukulpatnaik/researchgpt", "description": "A LLM based research assistant that allows you to have a conversation with a research paper", "stars": 3457, "source_graph_repo_id": 60336221, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 19, "name": "requests" }, { "id": 53, "name": "PyPDF2" }, { "id": 56, "name": "redis" }, { "id": 183, "name": "openai" }, { "id": 1373, "name": "_md5" } ], "last_checked_revision": "fcd841651229b7342a723c2684328b4dab36dad4\n" }, { "id": 120, "url": "https://github.com/labring/FastGPT", "description": "FastGPT is a knowledge-based QA system built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization!", "stars": 7971, "source_graph_repo_id": 60483509, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 53, "name": "PyPDF2" }, { "id": 86, "name": "sse_starlette" }, { "id": 138, "name": "nltk" }, { "id": 246, "name": "sentence_transformers" }, { "id": 722, "name": "pdf2image" }, { "id": 1068, "name": "docx" }, { "id": 1083, "name": "aiofiles" }, { "id": 2258, "name": "aip" }, { "id": 5747, "name": "FlagEmbedding" } ], "last_checked_revision": "d5b24eca5779a4336782e9f400c9ed39579488f4\n" }, { "id": 121, "url": "https://github.com/marqo-ai/marqo", "description": "Vector search for humans. Also available on cloud - cloud.marqo.ai", "stars": 3825, "source_graph_repo_id": 59006973, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 56, "name": "redis" }, { "id": 71, "name": "cv2" }, { "id": 72, "name": "jsonschema" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 94, "name": "clip" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 136, "name": "open_clip" }, { "id": 138, "name": "nltk" }, { "id": 154, "name": "datasets" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 223, "name": "botocore" }, { "id": 246, "name": "sentence_transformers" }, { "id": 252, "name": "fastapi_utils" }, { "id": 430, "name": "urllib3" }, { "id": 452, "name": "onnxruntime" }, { "id": 461, "name": "ftfy" }, { "id": 468, "name": "onnx" }, { "id": 479, "name": "regex" }, { "id": 623, "name": "more_itertools" }, { "id": 698, "name": "pydub" }, { "id": 754, "name": "librosa" }, { "id": 1835, "name": "soundfile" }, { "id": 2302, "name": "validators" }, { "id": 2796, "name": "optimum" }, { "id": 3926, "name": "multilingual_clip" }, { "id": 3927, "name": "marqo" }, { "id": 3928, "name": "pyannote" }, { "id": 3929, "name": "yt_dlp" } ], "last_checked_revision": "a7200df4ad32f6ca287d4f4feef32ca26bede9a1\n" }, { "id": 122, "url": "https://github.com/IDEA-CCNL/Fengshenbang-LM", "description": "Fengshenbang-LM(\u5c01\u795e\u699c\u5927\u6a21\u578b)\u662fIDEA\u7814\u7a76\u9662\u8ba4\u77e5\u8ba1\u7b97\u4e0e\u81ea\u7136\u8bed\u8a00\u7814\u7a76\u4e2d\u5fc3\u4e3b\u5bfc\u7684\u5927\u6a21\u578b\u5f00\u6e90\u4f53\u7cfb\uff0c\u6210\u4e3a\u4e2d\u6587AIGC\u548c\u8ba4\u77e5\u667a\u80fd\u7684\u57fa\u7840\u8bbe\u65bd\u3002", "stars": 3677, "source_graph_repo_id": 56471694, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 94, "name": "clip" }, { "id": 105, "name": "timm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 136, "name": "open_clip" }, { "id": 138, "name": "nltk" }, { "id": 144, "name": "megatron" }, { "id": 149, "name": "jieba" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 158, "name": "diffusers" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 419, "name": "torchmetrics" }, { "id": 422, "name": "gpustat" }, { "id": 491, "name": "data" }, { "id": 519, "name": "sentencepiece" }, { "id": 521, "name": "jsonlines" }, { "id": 551, "name": "deepspeed" }, { "id": 720, "name": "rouge" }, { "id": 862, "name": "fairseq" }, { "id": 896, "name": "llama_cpp" }, { "id": 1372, "name": "langid" }, { "id": 1386, "name": "sacrebleu" }, { "id": 1733, "name": "translate" }, { "id": 1835, "name": "soundfile" }, { "id": 2397, "name": "mosestokenizer" }, { "id": 3689, "name": "resize_right" }, { "id": 3690, "name": "scaled_masked_softmax_cuda" }, { "id": 3691, "name": "jieba_fast" }, { "id": 3692, "name": "train_func" }, { "id": 3693, "name": "fengshen_inner" }, { "id": 3694, "name": "flash_attn_cuda" }, { "id": 3695, "name": "scaled_upper_triang_masked_softmax_cuda" } ], "last_checked_revision": "c8fb7b8437843ea13fa9d147ce86c4592fa21237\n" }, { "id": 123, "url": "https://github.com/langchain-ai/chat-langchain", "description": "", "stars": 4192, "source_graph_repo_id": 60067225, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 118, "name": "gradio" }, { "id": 124, "name": "git" }, { "id": 206, "name": "langchain" }, { "id": 430, "name": "urllib3" }, { "id": 3997, "name": "langsmith" }, { "id": 4703, "name": "langserve" }, { "id": 5057, "name": "voyage" } ], "last_checked_revision": "cbccd7808403c21bbb482aed0fddea6c9c055634\n" }, { "id": 124, "url": "https://github.com/khoj-ai/khoj", "description": "An AI copilot for your second brain. Search and chat with your personal knowledge base, online or offline", "stars": 4191, "source_graph_repo_id": 56829796, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 55, "name": "pgvector" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 246, "name": "sentence_transformers" }, { "id": 249, "name": "authlib" }, { "id": 259, "name": "asgiref" }, { "id": 348, "name": "django" }, { "id": 430, "name": "urllib3" }, { "id": 518, "name": "gpt4all" }, { "id": 632, "name": "posthog" }, { "id": 639, "name": "whisper" }, { "id": 812, "name": "faker" }, { "id": 953, "name": "freezegun" }, { "id": 1443, "name": "factory" }, { "id": 1569, "name": "dateparser" }, { "id": 1872, "name": "stripe" }, { "id": 2040, "name": "schedule" }, { "id": 2385, "name": "database" }, { "id": 2825, "name": "PySide6" }, { "id": 3678, "name": "pyi_splash" }, { "id": 3679, "name": "khoj" } ], "last_checked_revision": "455f78b178f63c10ac9a9354bde16b0d8f06531f\n" }, { "id": 125, "url": "https://github.com/THUDM/VisualGLM-6B", "description": "Chinese and English multimodal conversational language model | \u591a\u6a21\u6001\u4e2d\u82f1\u53cc\u8bed\u5bf9\u8bdd\u8bed\u8a00\u6a21\u578b", "stars": 3701, "source_graph_repo_id": 61009886, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 118, "name": "gradio" }, { "id": 208, "name": "mdtex2html" }, { "id": 4242, "name": "sat" } ], "last_checked_revision": "7a277433740276d7abc2a71646050c03062ea9e4\n" }, { "id": 126, "url": "https://github.com/fastapi-users/fastapi-users", "description": "Ready-to-use and customizable users management for FastAPI", "stars": 3747, "source_graph_repo_id": 39472515, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 62, "name": "app" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 946, "name": "pytest_mock" }, { "id": 1007, "name": "motor" }, { "id": 1061, "name": "jwt" }, { "id": 1403, "name": "beanie" }, { "id": 1404, "name": "makefun" }, { "id": 1405, "name": "asgi_lifespan" }, { "id": 1406, "name": "httpx_oauth" }, { "id": 1407, "name": "fastapi_users_db_sqlalchemy" }, { "id": 1408, "name": "fastapi_users_db_beanie" } ], "last_checked_revision": "155d161bfc3d0941e26b3d71a34632e5f856b91c\n" }, { "id": 127, "url": "https://github.com/danswer-ai/danswer", "description": "Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.", "stars": 5855, "source_graph_repo_id": 60993144, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 41, "name": "docx2txt" }, { "id": 50, "name": "tiktoken" }, { "id": 51, "name": "qdrant_client" }, { "id": 53, "name": "PyPDF2" }, { "id": 57, "name": "llama_index" }, { "id": 60, "name": "psycopg2" }, { "id": 61, "name": "alembic" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 77, "name": "dotenv" }, { "id": 80, "name": "tensorflow" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 211, "name": "requests_oauthlib" }, { "id": 222, "name": "jira" }, { "id": 224, "name": "google" }, { "id": 225, "name": "google_auth_oauthlib" }, { "id": 226, "name": "googleapiclient" }, { "id": 229, "name": "retry" }, { "id": 246, "name": "sentence_transformers" }, { "id": 251, "name": "playwright" }, { "id": 370, "name": "dask" }, { "id": 442, "name": "filelock" }, { "id": 479, "name": "regex" }, { "id": 518, "name": "gpt4all" }, { "id": 1021, "name": "oauthlib" }, { "id": 1045, "name": "chardet" }, { "id": 1406, "name": "httpx_oauth" }, { "id": 1407, "name": "fastapi_users_db_sqlalchemy" }, { "id": 1509, "name": "distributed" }, { "id": 1640, "name": "github" }, { "id": 2331, "name": "pypdf" }, { "id": 2556, "name": "atlassian" }, { "id": 3548, "name": "typesense" }, { "id": 4047, "name": "hubspot" }, { "id": 4060, "name": "zulip" }, { "id": 4150, "name": "fastapi_users" }, { "id": 4235, "name": "danswer" }, { "id": 4255, "name": "litellm" }, { "id": 4959, "name": "zenpy" }, { "id": 5055, "name": "shared_models" }, { "id": 5056, "name": "model_server" }, { "id": 5058, "name": "rt" }, { "id": 5688, "name": "timeago" } ], "last_checked_revision": "20441df4a4c0a5fea599958454391023209b043c\n" }, { "id": 128, "url": "https://github.com/dynaconf/dynaconf", "description": "Configuration Management for Python \u2699", "stars": 3372, "source_graph_repo_id": 310692, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 31, "name": "yaml" }, { "id": 56, "name": "redis" }, { "id": 62, "name": "app" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 135, "name": "pkg_resources" }, { "id": 260, "name": "IPython" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 689, "name": "src" }, { "id": 737, "name": "pip" }, { "id": 1004, "name": "colorama" }, { "id": 1028, "name": "ruamel" }, { "id": 1711, "name": "ordereddict" }, { "id": 1712, "name": "hvac" }, { "id": 1713, "name": "configobj" }, { "id": 1714, "name": "debug_toolbar" }, { "id": 1715, "name": "wheel" }, { "id": 1716, "name": "_ruamel_yaml" }, { "id": 1717, "name": "commentjson" } ], "last_checked_revision": "6322c4dc4afe0c91160cbdfb069119ca815a60a1\n" }, { "id": 129, "url": "https://github.com/PrefectHQ/marvin", "description": "\u2728 Build AI interfaces that spark joy", "stars": 4130, "source_graph_repo_id": 60702467, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 73, "name": "jinja2" }, { "id": 96, "name": "rich" }, { "id": 183, "name": "openai" }, { "id": 212, "name": "duckduckgo_search" }, { "id": 479, "name": "regex" }, { "id": 538, "name": "pydantic_settings" }, { "id": 548, "name": "markupsafe" }, { "id": 556, "name": "anthropic" }, { "id": 574, "name": "websockets" }, { "id": 974, "name": "cachetools" }, { "id": 1915, "name": "jsonpatch" }, { "id": 2217, "name": "prefect" }, { "id": 3941, "name": "serpapi" }, { "id": 4182, "name": "marvin_recipes" }, { "id": 4183, "name": "marvin" } ], "last_checked_revision": "a5fd53785b566a5c148cf36ef97c23982e43a1d8\n" }, { "id": 130, "url": "https://github.com/ml-tooling/ml-workspace", "description": "\ud83d\udee0 All-in-one web-based IDE specialized for machine learning and data science.", "stars": 3242, "source_graph_repo_id": 38775842, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 88, "name": "pexpect" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 260, "name": "IPython" }, { "id": 737, "name": "pip" }, { "id": 778, "name": "docker" }, { "id": 909, "name": "tornado" }, { "id": 1017, "name": "jupyter_core" }, { "id": 1024, "name": "notebook" }, { "id": 2260, "name": "crontab" }, { "id": 2261, "name": "universal_build" } ], "last_checked_revision": "024c4053d39241906b1becdb49b34146ac66463a\n" }, { "id": 131, "url": "https://github.com/FedML-AI/FedML", "description": "FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://nexus.fedml.ai) is the dedicated cloud service for generative AI", "stars": 3931, "source_graph_repo_id": 41603647, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 56, "name": "redis" }, { "id": 62, "name": "app" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 85, "name": "tritonclient" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 139, "name": "model" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 174, "name": "albumentations" }, { "id": 177, "name": "h5py" }, { "id": 178, "name": "peft" }, { "id": 182, "name": "wandb" }, { "id": 184, "name": "utils" }, { "id": 186, "name": "seaborn" }, { "id": 200, "name": "models" }, { "id": 206, "name": "langchain" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 246, "name": "sentence_transformers" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 292, "name": "flask" }, { "id": 351, "name": "sphinx" }, { "id": 373, "name": "tests" }, { "id": 414, "name": "GPUtil" }, { "id": 429, "name": "wget" }, { "id": 452, "name": "onnxruntime" }, { "id": 455, "name": "prettytable" }, { "id": 467, "name": "openvino" }, { "id": 468, "name": "onnx" }, { "id": 481, "name": "addict" }, { "id": 491, "name": "data" }, { "id": 508, "name": "setproctitle" }, { "id": 509, "name": "docutils" }, { "id": 524, "name": "tensorrt" }, { "id": 551, "name": "deepspeed" }, { "id": 585, "name": "pt_lightning_sphinx_theme" }, { "id": 605, "name": "mpi4py" }, { "id": 616, "name": "seqeval" }, { "id": 620, "name": "networkx" }, { "id": 657, "name": "pycocotools" }, { "id": 673, "name": "multiprocess" }, { "id": 689, "name": "src" }, { "id": 741, "name": "gensim" }, { "id": 778, "name": "docker" }, { "id": 787, "name": "mxnet" }, { "id": 849, "name": "jax" }, { "id": 864, "name": "trainer" }, { "id": 888, "name": "controlnet_aux" }, { "id": 890, "name": "haiku" }, { "id": 894, "name": "optax" }, { "id": 947, "name": "tzlocal" }, { "id": 949, "name": "paho" }, { "id": 1020, "name": "pytablewriter" }, { "id": 1045, "name": "chardet" }, { "id": 1139, "name": "dill" }, { "id": 1147, "name": "MNN" }, { "id": 1156, "name": "ml_collections" }, { "id": 1361, "name": "nacl" }, { "id": 1496, "name": "accimage" }, { "id": 1715, "name": "wheel" }, { "id": 1759, "name": "pafy" }, { "id": 1892, "name": "graphviz" }, { "id": 1963, "name": "torch_geometric" }, { "id": 2392, "name": "tensorflowjs" }, { "id": 2845, "name": "val" }, { "id": 2856, "name": "nnunet" }, { "id": 2865, "name": "batchgenerators" }, { "id": 2982, "name": "thop" }, { "id": 2983, "name": "inplace_abn" }, { "id": 2984, "name": "yolov6" }, { "id": 2985, "name": "mnist" }, { "id": 2986, "name": "tflite_runtime" }, { "id": 2987, "name": "ecies" }, { "id": 2988, "name": "flamby" }, { "id": 2989, "name": "fedml" }, { "id": 2990, "name": "tools" }, { "id": 2991, "name": "idx2numpy" }, { "id": 2992, "name": "export" }, { "id": 2993, "name": "monai" }, { "id": 2994, "name": "onnxsim" }, { "id": 2995, "name": "ptflops" }, { "id": 2996, "name": "nvidia_smi" }, { "id": 2997, "name": "tensorflow_federated" }, { "id": 2998, "name": "data_preprocessing" }, { "id": 2999, "name": "coremltools" }, { "id": 3720, "name": "cuda" }, { "id": 4052, "name": "polygraphy" }, { "id": 4053, "name": "onnx_graphsurgeon" }, { "id": 4156, "name": "nvtx" }, { "id": 4811, "name": "machineid" }, { "id": 5250, "name": "tensorrt_llm" }, { "id": 5586, "name": "tenseal" } ], "last_checked_revision": "f78d23ffcca6acd7f7874a8703df9c44e41f13a4\n" }, { "id": 132, "url": "https://github.com/ets-labs/python-dependency-injector", "description": "Dependency injection framework for Python", "stars": 3390, "source_graph_repo_id": 259611, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 81, "name": "boto3" }, { "id": 90, "name": "environs" }, { "id": 140, "name": "scipy" }, { "id": 147, "name": "sanic" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 886, "name": "werkzeug" }, { "id": 957, "name": "aioredis" }, { "id": 1613, "name": "dependency_injector" }, { "id": 1640, "name": "github" }, { "id": 1703, "name": "giphynavigator" }, { "id": 1704, "name": "alabaster" }, { "id": 1705, "name": "githubnavigator" }, { "id": 1706, "name": "samples" }, { "id": 1707, "name": "flask_bootstrap" }, { "id": 1708, "name": "wiringflask" }, { "id": 1709, "name": "mypy_boto3_s3" }, { "id": 1710, "name": "wiringfastapi" } ], "last_checked_revision": "cc2304e46e054ae08dc12995428759fbfb51af10\n" }, { "id": 133, "url": "https://github.com/QwenLM/Qwen", "description": "The official repo of Qwen (\u901a\u4e49\u5343\u95ee) chat & pretrained large language model proposed by Alibaba Cloud.", "stars": 7839, "source_graph_repo_id": 61455065, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 86, "name": "sse_starlette" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 152, "name": "rouge_score" }, { "id": 154, "name": "datasets" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 189, "name": "accelerate" }, { "id": 206, "name": "langchain" }, { "id": 208, "name": "mdtex2html" }, { "id": 214, "name": "json5" }, { "id": 479, "name": "regex" }, { "id": 513, "name": "auto_gptq" }, { "id": 521, "name": "jsonlines" }, { "id": 536, "name": "streamlit_chat" }, { "id": 551, "name": "deepspeed" }, { "id": 558, "name": "vllm" }, { "id": 3090, "name": "thefuzz" }, { "id": 4232, "name": "fastllm_pytools" } ], "last_checked_revision": "4aab1d490b268783bdda80b87b7fb501539b7929\n" }, { "id": 134, "url": "https://github.com/bunkerity/bunkerweb", "description": "\ud83d\udee1\ufe0f Make your web services secure by default !", "stars": 3231, "source_graph_repo_id": 42007742, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 56, "name": "redis" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 184, "name": "utils" }, { "id": 194, "name": "logger" }, { "id": 215, "name": "cryptography" }, { "id": 292, "name": "flask" }, { "id": 410, "name": "selenium" }, { "id": 479, "name": "regex" }, { "id": 628, "name": "magic" }, { "id": 734, "name": "pymysql" }, { "id": 778, "name": "docker" }, { "id": 886, "name": "werkzeug" }, { "id": 909, "name": "tornado" }, { "id": 1020, "name": "pytablewriter" }, { "id": 1134, "name": "kubernetes" }, { "id": 1413, "name": "bcrypt" }, { "id": 1463, "name": "gevent" }, { "id": 1535, "name": "flask_login" }, { "id": 1790, "name": "maxminddb" }, { "id": 2040, "name": "schedule" }, { "id": 2271, "name": "flask_wtf" }, { "id": 2902, "name": "Database" }, { "id": 2903, "name": "API" }, { "id": 2904, "name": "jobs" }, { "id": 2905, "name": "ConfigCaller" }, { "id": 2906, "name": "ftw" }, { "id": 2907, "name": "libinjection" }, { "id": 2908, "name": "bunkerweb" }, { "id": 2909, "name": "words" }, { "id": 2910, "name": "ApiCaller" } ], "last_checked_revision": "588d04c7de66f550bccdc19d7ee03d075aa590e1\n" }, { "id": 135, "url": "https://github.com/holoviz/panel", "description": "Panel: The powerful data exploration & web app framework for Python", "stars": 3421, "source_graph_repo_id": 36685859, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 73, "name": "jinja2" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 206, "name": "langchain" }, { "id": 215, "name": "cryptography" }, { "id": 251, "name": "playwright" }, { "id": 260, "name": "IPython" }, { "id": 278, "name": "plotly" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 381, "name": "holoviews" }, { "id": 400, "name": "altair" }, { "id": 425, "name": "fsspec" }, { "id": 548, "name": "markupsafe" }, { "id": 572, "name": "croniter" }, { "id": 578, "name": "param" }, { "id": 628, "name": "magic" }, { "id": 690, "name": "markdown" }, { "id": 808, "name": "ipywidgets" }, { "id": 824, "name": "bokeh" }, { "id": 909, "name": "tornado" }, { "id": 944, "name": "sphinx_design" }, { "id": 1012, "name": "traitlets" }, { "id": 1023, "name": "jupyter_server" }, { "id": 1026, "name": "jupyter_client" }, { "id": 1073, "name": "diskcache" }, { "id": 1439, "name": "bleach" }, { "id": 1528, "name": "channels" }, { "id": 1560, "name": "nbformat" }, { "id": 1715, "name": "wheel" }, { "id": 1911, "name": "memray" }, { "id": 2005, "name": "rpy2" }, { "id": 2006, "name": "comm" }, { "id": 2007, "name": "hvplot" }, { "id": 2008, "name": "pyodide_http" }, { "id": 2009, "name": "bokeh_django" }, { "id": 2010, "name": "tranquilizer" }, { "id": 2011, "name": "stockscreener" }, { "id": 2012, "name": "vtk" }, { "id": 2013, "name": "lumen" }, { "id": 2014, "name": "pyvista" }, { "id": 2015, "name": "mdit_py_emoji" }, { "id": 2016, "name": "pyctdev" }, { "id": 2017, "name": "pydeck" }, { "id": 2018, "name": "pyinstrument" }, { "id": 2019, "name": "ipywidgets_bokeh" }, { "id": 2020, "name": "js" }, { "id": 2021, "name": "gbm" }, { "id": 2022, "name": "reacton" }, { "id": 2023, "name": "anywidget" }, { "id": 2024, "name": "pyviz_comms" }, { "id": 2025, "name": "ipympl" }, { "id": 2026, "name": "sympy" }, { "id": 2027, "name": "nbsite" }, { "id": 2028, "name": "nbconvert" }, { "id": 2029, "name": "sliders" }, { "id": 2030, "name": "myst_parser" }, { "id": 2031, "name": "snakeviz" }, { "id": 2032, "name": "markdown_it" }, { "id": 2033, "name": "pyodide" }, { "id": 2034, "name": "streamz" }, { "id": 2035, "name": "mdit_py_plugins" }, { "id": 2036, "name": "jupyter_bokeh" }, { "id": 2037, "name": "pyecharts" }, { "id": 2038, "name": "ipykernel" }, { "id": 4652, "name": "pyscript" } ], "last_checked_revision": "46e06398a4f0eafe17be6821b8c19695e0c7e56d\n" }, { "id": 136, "url": "https://github.com/zenml-io/zenml", "description": "ZenML \ud83d\ude4f: Build portable, production-ready MLOps pipelines. https://zenml.io.", "stars": 3371, "source_graph_repo_id": 42704593, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 7, "name": "great_expectations" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 56, "name": "redis" }, { "id": 57, "name": "llama_index" }, { "id": 61, "name": "alembic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 236, "name": "sqlmodel" }, { "id": 252, "name": "fastapi_utils" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 266, "name": "discord" }, { "id": 273, "name": "airflow" }, { "id": 292, "name": "flask" }, { "id": 322, "name": "py" }, { "id": 355, "name": "importlib_metadata" }, { "id": 412, "name": "cloudpickle" }, { "id": 426, "name": "lightgbm" }, { "id": 430, "name": "urllib3" }, { "id": 542, "name": "multipart" }, { "id": 565, "name": "s3fs" }, { "id": 595, "name": "backoff" }, { "id": 606, "name": "adlfs" }, { "id": 607, "name": "tensorboard" }, { "id": 640, "name": "numba" }, { "id": 734, "name": "pymysql" }, { "id": 765, "name": "attr" }, { "id": 772, "name": "config" }, { "id": 799, "name": "xgboost" }, { "id": 819, "name": "pyspark" }, { "id": 865, "name": "pipelines" }, { "id": 868, "name": "sagemaker" }, { "id": 872, "name": "catboost" }, { "id": 901, "name": "hypothesis" }, { "id": 946, "name": "pytest_mock" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1061, "name": "jwt" }, { "id": 1119, "name": "bentoml" }, { "id": 1134, "name": "kubernetes" }, { "id": 1138, "name": "feast" }, { "id": 1189, "name": "genericpath" }, { "id": 1327, "name": "deepchecks" }, { "id": 1333, "name": "evidently" }, { "id": 1552, "name": "gitlab" }, { "id": 1556, "name": "gcsfs" }, { "id": 1640, "name": "github" }, { "id": 1712, "name": "hvac" }, { "id": 2125, "name": "python_terraform" }, { "id": 2147, "name": "constants" }, { "id": 2157, "name": "kfp" }, { "id": 2230, "name": "kserve" }, { "id": 2437, "name": "azureml" }, { "id": 2836, "name": "whylogs" }, { "id": 3039, "name": "tensorflow_io" }, { "id": 3040, "name": "facets_overview" }, { "id": 3041, "name": "model_archiver" }, { "id": 3042, "name": "pycaret" }, { "id": 3043, "name": "copier" }, { "id": 3044, "name": "compose" }, { "id": 3045, "name": "steps" }, { "id": 3046, "name": "dynamic_pipelines" }, { "id": 3047, "name": "monotonic" }, { "id": 3048, "name": "neptune" }, { "id": 3049, "name": "zenml" }, { "id": 3050, "name": "hooks" }, { "id": 3051, "name": "kfp_tekton" }, { "id": 3052, "name": "neuralprophet" }, { "id": 3053, "name": "distro" }, { "id": 3054, "name": "pyngrok" }, { "id": 3055, "name": "label_studio_sdk" }, { "id": 3056, "name": "analytics" }, { "id": 3057, "name": "kfp_server_api" }, { "id": 4434, "name": "mlstacks" }, { "id": 4459, "name": "artifacts" }, { "id": 4667, "name": "sky" }, { "id": 4668, "name": "aws_profile_manager" }, { "id": 4788, "name": "ipinfo" } ], "last_checked_revision": "9a69295e9aabaa90156b0cc6115f585a91d0f108\n" }, { "id": 137, "url": "https://github.com/Miksus/rocketry", "description": "Modern scheduling library for Python", "stars": 3112, "source_graph_repo_id": 56948176, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 92, "name": "pymongo" }, { "id": 1562, "name": "task_helpers" }, { "id": 1563, "name": "redmail" }, { "id": 1564, "name": "redbird" } ], "last_checked_revision": "8da223c743003166f5567a017b4ba3dfb34454ef\n" }, { "id": 138, "url": "https://github.com/fossasia/open-event-server", "description": "The Open Event Organizer Server to Manage Events https://test-api.eventyay.com", "stars": 2931, "source_graph_repo_id": 35726450, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 56, "name": "redis" }, { "id": 59, "name": "elasticsearch" }, { "id": 61, "name": "alembic" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 74, "name": "sentry_sdk" }, { "id": 82, "name": "PIL" }, { "id": 98, "name": "pytz" }, { "id": 292, "name": "flask" }, { "id": 428, "name": "marshmallow" }, { "id": 430, "name": "urllib3" }, { "id": 587, "name": "flask_cors" }, { "id": 628, "name": "magic" }, { "id": 643, "name": "Crypto" }, { "id": 802, "name": "xmltodict" }, { "id": 886, "name": "werkzeug" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1061, "name": "jwt" }, { "id": 1210, "name": "sendgrid" }, { "id": 1219, "name": "flask_admin" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1308, "name": "slugify" }, { "id": 1439, "name": "bleach" }, { "id": 1441, "name": "itsdangerous" }, { "id": 1443, "name": "factory" }, { "id": 1448, "name": "humanize" }, { "id": 1474, "name": "wtforms" }, { "id": 1535, "name": "flask_login" }, { "id": 1545, "name": "babel" }, { "id": 1576, "name": "elasticsearch_dsl" }, { "id": 1578, "name": "boto" }, { "id": 1623, "name": "weasyprint" }, { "id": 1656, "name": "graphene" }, { "id": 1697, "name": "flask_caching" }, { "id": 1844, "name": "healthcheck" }, { "id": 1845, "name": "flask_celeryext" }, { "id": 1846, "name": "coolname" }, { "id": 1847, "name": "broadcaster" }, { "id": 1848, "name": "forex_python" }, { "id": 1849, "name": "icalendar" }, { "id": 1850, "name": "objproxies" }, { "id": 1851, "name": "flask_redis" }, { "id": 1852, "name": "flask_script" }, { "id": 1853, "name": "dredd_hooks" }, { "id": 1854, "name": "flask_limiter" }, { "id": 1855, "name": "marshmallow_jsonapi" }, { "id": 1856, "name": "citext" }, { "id": 1857, "name": "marrow" }, { "id": 1858, "name": "envparse" }, { "id": 1859, "name": "xhtml2pdf" }, { "id": 1860, "name": "oauth2" }, { "id": 1861, "name": "flask_scrypt" }, { "id": 1862, "name": "qrcode" }, { "id": 1863, "name": "graphene_sqlalchemy" }, { "id": 1864, "name": "flask_jwt_extended" }, { "id": 1865, "name": "pentabarf" }, { "id": 1866, "name": "paypalrestsdk" }, { "id": 1867, "name": "flask_rest_jsonapi" }, { "id": 1868, "name": "sqlalchemy_continuum" }, { "id": 1869, "name": "flask_graphql" }, { "id": 1870, "name": "omise" }, { "id": 1871, "name": "flask_elasticsearch" }, { "id": 1872, "name": "stripe" }, { "id": 1873, "name": "flask_babel" }, { "id": 1874, "name": "flask_migrate" } ], "last_checked_revision": "c5183ca6d18c98859990fac3333b2f65679f931e\n" }, { "id": 139, "url": "https://github.com/ml-tooling/opyrator", "description": "\ud83e\ude84 Turns your machine learning code into microservices with web API, interactive GUI, and more.", "stars": 2971, "source_graph_repo_id": 44040986, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 54, "name": "loguru" }, { "id": 82, "name": "PIL" }, { "id": 138, "name": "nltk" }, { "id": 255, "name": "spacy" }, { "id": 278, "name": "plotly" }, { "id": 731, "name": "annotated_text" }, { "id": 798, "name": "fasttext" }, { "id": 824, "name": "bokeh" }, { "id": 2261, "name": "universal_build" }, { "id": 3100, "name": "opyrator" }, { "id": 3101, "name": "ISR" } ], "last_checked_revision": "3f443f05b6b21f00685c2b9bba16cf080edf2385\n" }, { "id": 140, "url": "https://github.com/assafelovic/gpt-researcher", "description": "GPT based autonomous agent that does online comprehensive research on any given topic", "stars": 6291, "source_graph_repo_id": 61328184, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 77, "name": "dotenv" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 212, "name": "duckduckgo_search" }, { "id": 410, "name": "selenium" }, { "id": 477, "name": "webdriver_manager" }, { "id": 772, "name": "config" }, { "id": 1004, "name": "colorama" }, { "id": 1083, "name": "aiofiles" }, { "id": 4256, "name": "md2pdf" }, { "id": 4503, "name": "chromedriver_autoinstaller" }, { "id": 4676, "name": "permchain" }, { "id": 4677, "name": "tavily" }, { "id": 5116, "name": "gpt_researcher_old" } ], "last_checked_revision": "b70f8f7fd58e3499cc5f8d8b62910c271ccab237\n" }, { "id": 141, "url": "https://github.com/Chainlit/chainlit", "description": "Build Python LLM apps in minutes \u26a1\ufe0f", "stars": 3151, "source_graph_repo_id": 61009460, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 57, "name": "llama_index" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 115, "name": "packaging" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 278, "name": "plotly" }, { "id": 408, "name": "socketio" }, { "id": 421, "name": "dataclasses_json" }, { "id": 531, "name": "opentelemetry" }, { "id": 631, "name": "responses" }, { "id": 874, "name": "fastapi_socketio" }, { "id": 932, "name": "tomli" }, { "id": 1061, "name": "jwt" }, { "id": 1083, "name": "aiofiles" }, { "id": 1112, "name": "filetype" }, { "id": 1117, "name": "watchfiles" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 3085, "name": "haystack" }, { "id": 3186, "name": "prisma" }, { "id": 3225, "name": "python_graphql_client" }, { "id": 3759, "name": "aioresponses" }, { "id": 3974, "name": "asyncer" }, { "id": 4202, "name": "langflow" }, { "id": 4236, "name": "chainlit" }, { "id": 4237, "name": "syncer" }, { "id": 4238, "name": "auth0" }, { "id": 4239, "name": "uptrace" }, { "id": 4337, "name": "lazify" }, { "id": 5578, "name": "chainlit_client" } ], "last_checked_revision": "f2b396a5b0c797271863be6afe0c377cb5bd0f20\n" }, { "id": 142, "url": "https://github.com/shibing624/text2vec", "description": "text2vec, text to vector. \u6587\u672c\u5411\u91cf\u8868\u5f81\u5de5\u5177\uff0c\u628a\u6587\u672c\u8f6c\u5316\u4e3a\u5411\u91cf\u77e9\u9635\uff0c\u5b9e\u73b0\u4e86Word2Vec\u3001RankBM25\u3001Sentence-BERT\u3001CoSENT\u7b49\u6587\u672c\u8868\u5f81\u3001\u6587\u672c\u76f8\u4f3c\u5ea6\u8ba1\u7b97\u6a21\u578b\uff0c\u5f00\u7bb1\u5373\u7528\u3002", "stars": 3604, "source_graph_repo_id": 39503047, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 246, "name": "sentence_transformers" }, { "id": 523, "name": "jina" }, { "id": 528, "name": "docarray" }, { "id": 615, "name": "faiss" }, { "id": 741, "name": "gensim" }, { "id": 1805, "name": "kenlm" }, { "id": 2465, "name": "mteb" }, { "id": 2473, "name": "Levenshtein" }, { "id": 4458, "name": "C_MTEB" } ], "last_checked_revision": "5329676696edac49d72defa41460f7f260c43a44\n" }, { "id": 143, "url": "https://github.com/pantsbuild/pants", "description": "The Pants Build System", "stars": 2946, "source_graph_repo_id": 76555, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 223, "name": "botocore" }, { "id": 365, "name": "hello" }, { "id": 508, "name": "setproctitle" }, { "id": 541, "name": "strawberry" }, { "id": 936, "name": "toml" }, { "id": 953, "name": "freezegun" }, { "id": 955, "name": "pydash" }, { "id": 1028, "name": "ruamel" }, { "id": 1209, "name": "chevron" }, { "id": 1635, "name": "pants_test" }, { "id": 1636, "name": "mypy_typing_asserts" }, { "id": 1637, "name": "gnupg" }, { "id": 1638, "name": "workunit_logger" }, { "id": 1639, "name": "pex" }, { "id": 1640, "name": "github" }, { "id": 1641, "name": "nodesemver" }, { "id": 1642, "name": "pylsp_jsonrpc" }, { "id": 1643, "name": "colors" }, { "id": 1644, "name": "pants" }, { "id": 1645, "name": "native" }, { "id": 1646, "name": "mypyc" }, { "id": 1647, "name": "fasteners" }, { "id": 1648, "name": "hcl2" }, { "id": 1649, "name": "hikaru" }, { "id": 1650, "name": "internal_plugins" }, { "id": 1651, "name": "hdrh" }, { "id": 1652, "name": "dockerfile" }, { "id": 1653, "name": "yamlpath" }, { "id": 1654, "name": "pants_release" }, { "id": 1655, "name": "ijson" }, { "id": 4457, "name": "pants_explorer" } ], "last_checked_revision": "7a1cd54d98a43485027d2ac53099565900659811\n" }, { "id": 144, "url": "https://github.com/continuedev/continue", "description": "\u23e9 Continue is an open-source autopilot for VS Code and JetBrains\u2014the easiest way to code with any LLM", "stars": 5841, "source_graph_repo_id": 61102409, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 30, "name": "certifi" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 57, "name": "llama_index" }, { "id": 77, "name": "dotenv" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 243, "name": "html2text" }, { "id": 408, "name": "socketio" }, { "id": 409, "name": "watchdog" }, { "id": 556, "name": "anthropic" }, { "id": 574, "name": "websockets" }, { "id": 632, "name": "posthog" }, { "id": 1083, "name": "aiofiles" }, { "id": 1104, "name": "pathspec" }, { "id": 1209, "name": "chevron" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 2649, "name": "boltons" }, { "id": 3062, "name": "pygit2" }, { "id": 4255, "name": "litellm" }, { "id": 4316, "name": "directory_tree" }, { "id": 4317, "name": "meilisearch_python_async" }, { "id": 4318, "name": "ripgrepy" }, { "id": 4319, "name": "tiktoken_ext" }, { "id": 4342, "name": "tree_sitter" }, { "id": 4354, "name": "redbaron" }, { "id": 4380, "name": "tree_sitter_languages" }, { "id": 4452, "name": "pylsp" }, { "id": 4769, "name": "continuedev" } ], "last_checked_revision": "c9621aa71daa65b2f29915f345737cc6160d60e1\n" }, { "id": 145, "url": "https://github.com/metalbear-co/mirrord", "description": "Connect your local process and your cloud environment, and run local code in cloud conditions.", "stars": 3138, "source_graph_repo_id": 57445002, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 292, "name": "flask" } ], "last_checked_revision": "a7ee125191f568d8f7fdefbc28a37316a3e180b8\n" }, { "id": 146, "url": "https://github.com/alpa-projects/alpa", "description": "Training and serving large-scale neural networks with auto parallelization.", "stars": 2905, "source_graph_repo_id": 57483783, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 73, "name": "jinja2" }, { "id": 80, "name": "tensorflow" }, { "id": 84, "name": "torchvision" }, { "id": 87, "name": "tokenizers" }, { "id": 97, "name": "omegaconf" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 144, "name": "megatron" }, { "id": 154, "name": "datasets" }, { "id": 160, "name": "pulp" }, { "id": 180, "name": "apex" }, { "id": 185, "name": "huggingface_hub" }, { "id": 245, "name": "absl" }, { "id": 422, "name": "gpustat" }, { "id": 537, "name": "torchdistx" }, { "id": 551, "name": "deepspeed" }, { "id": 640, "name": "numba" }, { "id": 804, "name": "cupy" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 849, "name": "jax" }, { "id": 894, "name": "optax" }, { "id": 1092, "name": "jaxlib" }, { "id": 1107, "name": "msgpack" }, { "id": 1116, "name": "flax" }, { "id": 1156, "name": "ml_collections" }, { "id": 1170, "name": "configs" }, { "id": 1942, "name": "pygloo" }, { "id": 1979, "name": "llm_serving" }, { "id": 2858, "name": "functorch" }, { "id": 3016, "name": "torch_optimizer" }, { "id": 3699, "name": "ft_mha" }, { "id": 3700, "name": "clu" }, { "id": 3701, "name": "github3" }, { "id": 3702, "name": "alpa_serve" }, { "id": 3703, "name": "sphinx_gallery" }, { "id": 3704, "name": "bazel_tools" } ], "last_checked_revision": "b8078a9f75cb4c90cabb4550ee48c99ef394e209\n" }, { "id": 147, "url": "https://github.com/hiyouga/LLaMA-Factory", "description": "Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)", "stars": 8861, "source_graph_repo_id": 61073968, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 86, "name": "sse_starlette" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 138, "name": "nltk" }, { "id": 145, "name": "fire" }, { "id": 149, "name": "jieba" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 161, "name": "matplotlib" }, { "id": 166, "name": "rouge_chinese" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 513, "name": "auto_gptq" }, { "id": 551, "name": "deepspeed" }, { "id": 3070, "name": "trl" }, { "id": 3399, "name": "modelscope" }, { "id": 4311, "name": "transformers_stream_generator" }, { "id": 4312, "name": "llmtuner" }, { "id": 5689, "name": "unsloth" } ], "last_checked_revision": "3014e3c189073f0a6819839835948ad296a00494\n" }, { "id": 148, "url": "https://github.com/python-gino/gino", "description": "GINO Is Not ORM - a Python asyncio ORM on SQLAlchemy core.", "stars": 2627, "source_graph_repo_id": 1328276, "dependencies": [ { "id": 13, "name": "pytest" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 196, "name": "asyncpg" }, { "id": 355, "name": "importlib_metadata" }, { "id": 511, "name": "mypy" }, { "id": 734, "name": "pymysql" }, { "id": 1006, "name": "aiomysql" }, { "id": 1425, "name": "gino" } ], "last_checked_revision": "6218b902cc8a31198f1a0b42d67e689140b68c8b\n" }, { "id": 149, "url": "https://github.com/FreedomIntelligence/LLMZoo", "description": "\u26a1LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.\u26a1", "stars": 2779, "source_graph_repo_id": 60786363, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 96, "name": "rich" }, { "id": 111, "name": "einops" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 188, "name": "flash_attn" }, { "id": 513, "name": "auto_gptq" }, { "id": 516, "name": "shortuuid" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 595, "name": "backoff" }, { "id": 1071, "name": "markdown2" } ], "last_checked_revision": "cf70d9cd7a34808681ebe58e652f697420d7b055\n" }, { "id": 150, "url": "https://github.com/ethen8181/machine-learning", "description": ":earth_americas: machine learning tutorials (mainly in Python3) ", "stars": 2606, "source_graph_repo_id": 39983245, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 105, "name": "timm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 174, "name": "albumentations" }, { "id": 260, "name": "IPython" }, { "id": 418, "name": "joblib" }, { "id": 426, "name": "lightgbm" }, { "id": 495, "name": "Cython" }, { "id": 741, "name": "gensim" }, { "id": 798, "name": "fasttext" }, { "id": 2680, "name": "logzero" }, { "id": 2681, "name": "calibration_module" }, { "id": 2682, "name": "fasttext_module" } ], "last_checked_revision": "7a5067ee3a29f25603cfe461a19a9e31ab9cb728\n" }, { "id": 151, "url": "https://github.com/GoogleCloudPlatform/professional-services", "description": "Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.", "stars": 2624, "source_graph_repo_id": 1312822, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 24, "name": "netaddr" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 60, "name": "psycopg2" }, { "id": 62, "name": "app" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 91, "name": "mysql" }, { "id": 98, "name": "pytz" }, { "id": 118, "name": "gradio" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 145, "name": "fire" }, { "id": 148, "name": "main" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 184, "name": "utils" }, { "id": 186, "name": "seaborn" }, { "id": 190, "name": "locust" }, { "id": 218, "name": "lxml" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 245, "name": "absl" }, { "id": 250, "name": "praw" }, { "id": 261, "name": "pyarrow" }, { "id": 273, "name": "airflow" }, { "id": 292, "name": "flask" }, { "id": 303, "name": "my_module" }, { "id": 349, "name": "mock" }, { "id": 370, "name": "dask" }, { "id": 373, "name": "tests" }, { "id": 421, "name": "dataclasses_json" }, { "id": 426, "name": "lightgbm" }, { "id": 430, "name": "urllib3" }, { "id": 455, "name": "prettytable" }, { "id": 488, "name": "dominate" }, { "id": 607, "name": "tensorboard" }, { "id": 667, "name": "sqlparse" }, { "id": 689, "name": "src" }, { "id": 734, "name": "pymysql" }, { "id": 765, "name": "attr" }, { "id": 772, "name": "config" }, { "id": 788, "name": "papermill" }, { "id": 791, "name": "shap" }, { "id": 799, "name": "xgboost" }, { "id": 812, "name": "faker" }, { "id": 819, "name": "pyspark" }, { "id": 826, "name": "retrying" }, { "id": 857, "name": "keras" }, { "id": 864, "name": "trainer" }, { "id": 865, "name": "pipelines" }, { "id": 936, "name": "toml" }, { "id": 947, "name": "tzlocal" }, { "id": 963, "name": "simplejson" }, { "id": 974, "name": "cachetools" }, { "id": 978, "name": "paste" }, { "id": 999, "name": "webtest" }, { "id": 1004, "name": "colorama" }, { "id": 1060, "name": "pendulum" }, { "id": 1071, "name": "markdown2" }, { "id": 1132, "name": "snowflake" }, { "id": 1134, "name": "kubernetes" }, { "id": 1136, "name": "proto" }, { "id": 1139, "name": "dill" }, { "id": 1151, "name": "tensorflow_hub" }, { "id": 1167, "name": "apache_beam" }, { "id": 1181, "name": "oracledb" }, { "id": 1210, "name": "sendgrid" }, { "id": 1239, "name": "pyodbc" }, { "id": 1265, "name": "cx_Oracle" }, { "id": 1350, "name": "python" }, { "id": 1356, "name": "functions_framework" }, { "id": 1460, "name": "thrift" }, { "id": 1463, "name": "gevent" }, { "id": 1477, "name": "fastavro" }, { "id": 1478, "name": "avro" }, { "id": 1617, "name": "pythonjsonlogger" }, { "id": 1664, "name": "vertica_python" }, { "id": 1707, "name": "flask_bootstrap" }, { "id": 1730, "name": "firebase_admin" }, { "id": 1732, "name": "oauth2client" }, { "id": 1739, "name": "httplib2" }, { "id": 1754, "name": "apiclient" }, { "id": 1777, "name": "parsimonious" }, { "id": 1824, "name": "configargparse" }, { "id": 1921, "name": "composer" }, { "id": 1922, "name": "testfixtures" }, { "id": 1990, "name": "textstat" }, { "id": 2058, "name": "future" }, { "id": 2128, "name": "yaspin" }, { "id": 2129, "name": "corder" }, { "id": 2130, "name": "send_email_function" }, { "id": 2131, "name": "dev_appserver" }, { "id": 2132, "name": "ratemate" }, { "id": 2133, "name": "webapp2_extras" }, { "id": 2134, "name": "jsonpath_ng" }, { "id": 2135, "name": "cloudstorage" }, { "id": 2136, "name": "bq_load_batches" }, { "id": 2137, "name": "textblob" }, { "id": 2138, "name": "tink" }, { "id": 2139, "name": "gsuite_grant_analyzer" }, { "id": 2140, "name": "bqtag" }, { "id": 2141, "name": "load_benchmark_tools" }, { "id": 2142, "name": "table_logger" }, { "id": 2143, "name": "capacity_planner" }, { "id": 2144, "name": "ml_preproc" }, { "id": 2145, "name": "ml_eda" }, { "id": 2146, "name": "bq_ddl_validator" }, { "id": 2147, "name": "constants" }, { "id": 2148, "name": "faker_schema" }, { "id": 2149, "name": "composer_dataflow_examples" }, { "id": 2150, "name": "exrex" }, { "id": 2151, "name": "preprocessing" }, { "id": 2152, "name": "slack" }, { "id": 2153, "name": "pyhive" }, { "id": 2154, "name": "api_key_rotation_checker" }, { "id": 2155, "name": "flask_json_schema" }, { "id": 2156, "name": "flask_restful" }, { "id": 2157, "name": "kfp" }, { "id": 2158, "name": "xmlschema" }, { "id": 2159, "name": "bqpipeline" }, { "id": 2160, "name": "slackeventsapi" }, { "id": 2161, "name": "main_dag" }, { "id": 2162, "name": "launch_demo" }, { "id": 2163, "name": "utils_optimization" }, { "id": 2164, "name": "cloud_vision_utils" }, { "id": 2165, "name": "asset_inventory" }, { "id": 2166, "name": "read_stt_api_function" }, { "id": 2167, "name": "asciitree" }, { "id": 2168, "name": "google_auth_httplib2" }, { "id": 2169, "name": "lime_utils" }, { "id": 2170, "name": "gsuite_exporter" }, { "id": 2171, "name": "perspective_api_function" }, { "id": 2172, "name": "webapp2" }, { "id": 2173, "name": "bigquery_user_info_updater" }, { "id": 2174, "name": "dns_sync" }, { "id": 2175, "name": "config_generator" }, { "id": 2176, "name": "textdistance" }, { "id": 2177, "name": "generic_benchmark_tools" }, { "id": 2178, "name": "resources" }, { "id": 2179, "name": "lib" }, { "id": 2180, "name": "lime" }, { "id": 2181, "name": "sideinput_refresh" }, { "id": 2182, "name": "query_benchmark_tools" }, { "id": 2183, "name": "nlp_api_function" }, { "id": 2184, "name": "dialogflow_v2" }, { "id": 2185, "name": "dotmap" }, { "id": 2186, "name": "migrator" }, { "id": 2187, "name": "xsdata_pydantic" }, { "id": 2188, "name": "xsdata" }, { "id": 2189, "name": "hypertune" }, { "id": 2190, "name": "cloud_function" }, { "id": 2191, "name": "appengine_config" }, { "id": 2192, "name": "tensorflow_transform" }, { "id": 2193, "name": "data_generator" }, { "id": 2194, "name": "send_stt_api_function" }, { "id": 2195, "name": "bigquery_slots_monitoring" }, { "id": 2196, "name": "xsd2bq" }, { "id": 2197, "name": "hive_to_bigquery" }, { "id": 2198, "name": "dependencies" }, { "id": 2199, "name": "json2xml" }, { "id": 2200, "name": "ml_dataprep" }, { "id": 2201, "name": "export_query_results_function" }, { "id": 2202, "name": "better_profanity" }, { "id": 2203, "name": "gmon" }, { "id": 2204, "name": "composer_http_post_example" }, { "id": 2205, "name": "make_iap_request" }, { "id": 2206, "name": "bq_table_resizer" }, { "id": 2207, "name": "gcs_bucket_mover" }, { "id": 2208, "name": "bq_benchmarks" }, { "id": 2209, "name": "updater_tools" }, { "id": 3383, "name": "teradatasql" }, { "id": 3385, "name": "jaydebeapi" }, { "id": 4257, "name": "texttable" }, { "id": 4474, "name": "airflow_states_collector" }, { "id": 4755, "name": "includes" }, { "id": 4789, "name": "google_cloud_pipeline_components" }, { "id": 4790, "name": "tfx" }, { "id": 4791, "name": "model_card_toolkit" }, { "id": 4792, "name": "tensorflow_data_validation" }, { "id": 4793, "name": "ml_metadata" }, { "id": 4794, "name": "tensorflow_model_analysis" } ], "last_checked_revision": "21213fdeb798f0c1a0c3c277f4f339a81cf64ff8\n" }, { "id": 152, "url": "https://github.com/juncongmoo/pyllama", "description": "LLaMA: Open and Efficient Foundation Language Models", "stars": 2726, "source_graph_repo_id": 60530140, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 145, "name": "fire" }, { "id": 189, "name": "accelerate" }, { "id": 456, "name": "fairscale" }, { "id": 519, "name": "sentencepiece" }, { "id": 4137, "name": "hiq" }, { "id": 4138, "name": "gptq" } ], "last_checked_revision": "9dca874d11ca2dbb6ebe4ffe48424f05f20a57eb\n" }, { "id": 153, "url": "https://github.com/rom1504/img2dataset", "description": "Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.", "stars": 2905, "source_graph_repo_id": 55642313, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 145, "name": "fire" }, { "id": 174, "name": "albumentations" }, { "id": 182, "name": "wandb" }, { "id": 261, "name": "pyarrow" }, { "id": 425, "name": "fsspec" }, { "id": 819, "name": "pyspark" }, { "id": 1583, "name": "webdataset" }, { "id": 2416, "name": "exifread" }, { "id": 3039, "name": "tensorflow_io" } ], "last_checked_revision": "352ca4e1f530391f0a89f94eca5a6c36643eaafc\n" }, { "id": 154, "url": "https://github.com/unionai-oss/pandera", "description": "A light-weight, flexible, and expressive statistical data testing library", "stars": 2513, "source_graph_repo_id": 40140004, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 98, "name": "pytz" }, { "id": 115, "name": "packaging" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 207, "name": "black" }, { "id": 261, "name": "pyarrow" }, { "id": 351, "name": "sphinx" }, { "id": 362, "name": "geopandas" }, { "id": 370, "name": "dask" }, { "id": 384, "name": "pyproj" }, { "id": 437, "name": "modin" }, { "id": 471, "name": "shapely" }, { "id": 539, "name": "pydantic_core" }, { "id": 819, "name": "pyspark" }, { "id": 901, "name": "hypothesis" }, { "id": 1142, "name": "typeguard" }, { "id": 1459, "name": "wrapt" }, { "id": 1466, "name": "nox" }, { "id": 1506, "name": "typing_inspect" }, { "id": 1507, "name": "frictionless" }, { "id": 1508, "name": "multimethod" }, { "id": 1509, "name": "distributed" } ], "last_checked_revision": "812b2a8af8c123c46caa348837da04e8c6573260\n" }, { "id": 155, "url": "https://github.com/litestar-org/litestar", "description": "Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs", "stars": 3754, "source_graph_repo_id": 56760430, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 22, "name": "bs4" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 64, "name": "jose" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 75, "name": "importlib_resources" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 96, "name": "rich" }, { "id": 106, "name": "anyio" }, { "id": 196, "name": "asyncpg" }, { "id": 215, "name": "cryptography" }, { "id": 224, "name": "google" }, { "id": 287, "name": "attrs" }, { "id": 335, "name": "_typeshed" }, { "id": 351, "name": "sphinx" }, { "id": 355, "name": "importlib_metadata" }, { "id": 425, "name": "fsspec" }, { "id": 497, "name": "prometheus_client" }, { "id": 509, "name": "docutils" }, { "id": 531, "name": "opentelemetry" }, { "id": 539, "name": "pydantic_core" }, { "id": 765, "name": "attr" }, { "id": 901, "name": "hypothesis" }, { "id": 930, "name": "multidict" }, { "id": 946, "name": "pytest_mock" }, { "id": 951, "name": "pytest_lazyfixture" }, { "id": 1181, "name": "oracledb" }, { "id": 1196, "name": "mako" }, { "id": 1355, "name": "brotli" }, { "id": 1378, "name": "msgspec" }, { "id": 1403, "name": "beanie" }, { "id": 1494, "name": "asyncmy" }, { "id": 1683, "name": "structlog" }, { "id": 2049, "name": "time_machine" }, { "id": 2376, "name": "exceptiongroup" }, { "id": 2962, "name": "piccolo" }, { "id": 3664, "name": "pydantic_extra_types" }, { "id": 3665, "name": "fast_query_parsers" }, { "id": 3666, "name": "piccolo_conf" }, { "id": 3667, "name": "auto_pytabs" }, { "id": 3668, "name": "piccolo_api" }, { "id": 3669, "name": "piccolo_admin" }, { "id": 3670, "name": "rich_click" }, { "id": 3671, "name": "jsbeautifier" }, { "id": 3672, "name": "httpx_sse" }, { "id": 3673, "name": "polyfactory" }, { "id": 3674, "name": "annotated_types" }, { "id": 4581, "name": "minijinja" }, { "id": 4614, "name": "advanced_alchemy" } ], "last_checked_revision": "719100846956972e883ea4b1509d65a97f2cfb6a\n" }, { "id": 156, "url": "https://github.com/GokuMohandas/mlops-course", "description": "Learn how to design, develop, deploy and iterate on production-grade ML applications.", "stars": 2579, "source_graph_repo_id": 42379014, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 5, "name": "mlflow" }, { "id": 6, "name": "snorkel" }, { "id": 7, "name": "great_expectations" }, { "id": 8, "name": "pretty_errors" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 17, "name": "numpyencoder" } ], "last_checked_revision": "de51e65910025ef81ef08f7c871c9fdd9bec33f5\n" }, { "id": 157, "url": "https://github.com/GerevAI/gerev", "description": "\ud83e\udde0 AI-powered enterprise search engine \ud83d\udd0e", "stars": 2535, "source_graph_repo_id": 60589613, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 53, "name": "PyPDF2" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 138, "name": "nltk" }, { "id": 200, "name": "models" }, { "id": 204, "name": "parsers" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 226, "name": "googleapiclient" }, { "id": 229, "name": "retry" }, { "id": 246, "name": "sentence_transformers" }, { "id": 609, "name": "rank_bm25" }, { "id": 615, "name": "faiss" }, { "id": 632, "name": "posthog" }, { "id": 1054, "name": "schemas" }, { "id": 1732, "name": "oauth2client" }, { "id": 1739, "name": "httplib2" }, { "id": 1754, "name": "apiclient" }, { "id": 2556, "name": "atlassian" }, { "id": 2970, "name": "fastapi_restful" }, { "id": 3740, "name": "indexing" }, { "id": 4139, "name": "paths" }, { "id": 4140, "name": "mammoth" }, { "id": 4141, "name": "persistqueue" }, { "id": 4142, "name": "db_engine" }, { "id": 4143, "name": "data_source" }, { "id": 4144, "name": "rocketchat_API" }, { "id": 4145, "name": "mattermostdriver" }, { "id": 4146, "name": "queues" }, { "id": 4147, "name": "search_logic" }, { "id": 4148, "name": "telemetry" } ], "last_checked_revision": "1018e122aae288ca9c77d72b0efbe9ff7a6df750\n" }, { "id": 158, "url": "https://github.com/docarray/docarray", "description": "Represent, send, store and search multimodal data", "stars": 2609, "source_graph_repo_id": 56827592, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 49, "name": "grpc" }, { "id": 51, "name": "qdrant_client" }, { "id": 58, "name": "pymilvus" }, { "id": 59, "name": "elasticsearch" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 140, "name": "scipy" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 399, "name": "orjson" }, { "id": 430, "name": "urllib3" }, { "id": 539, "name": "pydantic_core" }, { "id": 621, "name": "elastic_transport" }, { "id": 698, "name": "pydub" }, { "id": 849, "name": "jax" }, { "id": 893, "name": "smart_open" }, { "id": 1506, "name": "typing_inspect" }, { "id": 1973, "name": "lz4" }, { "id": 2418, "name": "av" }, { "id": 2758, "name": "hubble" }, { "id": 3675, "name": "mktestdocs" }, { "id": 3676, "name": "trimesh" }, { "id": 4377, "name": "pyepsilla" } ], "last_checked_revision": "104b403b2b61a485e2cc032a357f46e7dc8044fe\n" }, { "id": 159, "url": "https://github.com/argilla-io/argilla", "description": "\u2728Argilla: the open-source feedback platform for LLMs", "stars": 2743, "source_graph_repo_id": 54591980, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 6, "name": "snorkel" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 61, "name": "alembic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 178, "name": "peft" }, { "id": 185, "name": "huggingface_hub" }, { "id": 246, "name": "sentence_transformers" }, { "id": 255, "name": "spacy" }, { "id": 278, "name": "plotly" }, { "id": 355, "name": "importlib_metadata" }, { "id": 595, "name": "backoff" }, { "id": 615, "name": "faiss" }, { "id": 636, "name": "opensearchpy" }, { "id": 788, "name": "papermill" }, { "id": 946, "name": "pytest_mock" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1443, "name": "factory" }, { "id": 1459, "name": "wrapt" }, { "id": 1631, "name": "brotli_asgi" }, { "id": 1634, "name": "elasticsearch8" }, { "id": 1999, "name": "setfit" }, { "id": 2040, "name": "schedule" }, { "id": 2502, "name": "flair" }, { "id": 2843, "name": "deprecated" }, { "id": 2975, "name": "spacy_huggingface_hub" }, { "id": 3047, "name": "monotonic" }, { "id": 3056, "name": "analytics" }, { "id": 3069, "name": "autotrain" }, { "id": 3070, "name": "trl" }, { "id": 3684, "name": "prodict" }, { "id": 3685, "name": "argilla" }, { "id": 3686, "name": "cleanlab" }, { "id": 3687, "name": "luqum" }, { "id": 3688, "name": "flyingsquid" }, { "id": 5194, "name": "ipynbname" } ], "last_checked_revision": "0e93e7fbe669051c3865d84883277b7ad917e3be\n" }, { "id": 160, "url": "https://github.com/continue-revolution/sd-webui-segment-anything", "description": "Segment Anything for Stable Diffusion WebUI", "stars": 2901, "source_graph_repo_id": 60785698, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 105, "name": "timm" }, { "id": 118, "name": "gradio" }, { "id": 140, "name": "scipy" }, { "id": 457, "name": "launch" }, { "id": 462, "name": "yapf" }, { "id": 476, "name": "modules" }, { "id": 481, "name": "addict" }, { "id": 655, "name": "annotator" }, { "id": 657, "name": "pycocotools" }, { "id": 846, "name": "segment_anything" }, { "id": 1452, "name": "ipdb" }, { "id": 1453, "name": "supervision" }, { "id": 1454, "name": "groundingdino" } ], "last_checked_revision": "d80220ecd2151cebfb00a5829be8ec1c05118000\n" }, { "id": 161, "url": "https://github.com/christianversloot/machine-learning-articles", "description": "\ud83e\udde0\ud83d\udcac Articles I wrote about machine learning, archived from MachineCurve.com.", "stars": 2774, "source_graph_repo_id": 57371026, "dependencies": [], "last_checked_revision": null }, { "id": 162, "url": "https://github.com/kserve/kserve", "description": "Standardized Serverless ML Inference Platform on Kubernetes", "stars": 2669, "source_graph_repo_id": 37936068, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 49, "name": "grpc" }, { "id": 71, "name": "cv2" }, { "id": 73, "name": "jinja2" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 85, "name": "tritonclient" }, { "id": 122, "name": "psutil" }, { "id": 129, "name": "skimage" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 185, "name": "huggingface_hub" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 278, "name": "plotly" }, { "id": 292, "name": "flask" }, { "id": 399, "name": "orjson" }, { "id": 418, "name": "joblib" }, { "id": 426, "name": "lightgbm" }, { "id": 430, "name": "urllib3" }, { "id": 497, "name": "prometheus_client" }, { "id": 713, "name": "paddle" }, { "id": 799, "name": "xgboost" }, { "id": 819, "name": "pyspark" }, { "id": 838, "name": "captum" }, { "id": 860, "name": "ts" }, { "id": 1134, "name": "kubernetes" }, { "id": 1139, "name": "dill" }, { "id": 1175, "name": "tensorflow_serving" }, { "id": 1368, "name": "hdfs" }, { "id": 1478, "name": "avro" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1549, "name": "tomlkit" }, { "id": 2157, "name": "kfp" }, { "id": 2227, "name": "Transformer_handler_generalized" }, { "id": 2228, "name": "artserver" }, { "id": 2229, "name": "management_pb2_grpc" }, { "id": 2230, "name": "kserve" }, { "id": 2231, "name": "lgbserver" }, { "id": 2232, "name": "assets" }, { "id": 2233, "name": "inference_pb2" }, { "id": 2234, "name": "xgbserver" }, { "id": 2235, "name": "pyspark2pmml" }, { "id": 2236, "name": "timing_asgi" }, { "id": 2237, "name": "cleo" }, { "id": 2238, "name": "krbcontext" }, { "id": 2239, "name": "inference_pb2_grpc" }, { "id": 2240, "name": "cloudevents" }, { "id": 2241, "name": "sklearnserver" }, { "id": 2242, "name": "art" }, { "id": 2243, "name": "aif360" }, { "id": 2244, "name": "asgi_logger" }, { "id": 2245, "name": "pmmlserver" }, { "id": 2246, "name": "aix360" }, { "id": 2247, "name": "alibiexplainer" }, { "id": 2248, "name": "portforward" }, { "id": 2249, "name": "paddleserver" }, { "id": 2250, "name": "alibi" }, { "id": 2251, "name": "poetry" }, { "id": 2252, "name": "jpmml_evaluator" }, { "id": 2253, "name": "management_pb2" } ], "last_checked_revision": "fff18026658b6b7384c768d24525ef3f8dc67264\n" }, { "id": 163, "url": "https://github.com/dosisod/refurb", "description": "A tool for refurbishing and modernizing Python codebases", "stars": 2419, "source_graph_repo_id": 59229365, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 511, "name": "mypy" } ], "last_checked_revision": "ac56b62ada809aa6bd4f41af02d3905966058370\n" }, { "id": 164, "url": "https://github.com/whylabs/whylogs", "description": "An open-source data logging library for machine learning models and data pipelines. \ud83d\udcda Provides visibility into data quality & model performance over time. \ud83d\udee1\ufe0f Supports privacy-preserving data collection, ensuring safety & robustness. \ud83d\udcc8", "stars": 2428, "source_graph_repo_id": 41927803, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 62, "name": "app" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 140, "name": "scipy" }, { "id": 184, "name": "utils" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 292, "name": "flask" }, { "id": 355, "name": "importlib_metadata" }, { "id": 399, "name": "orjson" }, { "id": 418, "name": "joblib" }, { "id": 430, "name": "urllib3" }, { "id": 587, "name": "flask_cors" }, { "id": 613, "name": "platformdirs" }, { "id": 631, "name": "responses" }, { "id": 788, "name": "papermill" }, { "id": 794, "name": "moto" }, { "id": 819, "name": "pyspark" }, { "id": 1054, "name": "schemas" }, { "id": 1119, "name": "bentoml" }, { "id": 1329, "name": "fugue" }, { "id": 1614, "name": "api" }, { "id": 2836, "name": "whylogs" }, { "id": 2837, "name": "whylogs_sketching" }, { "id": 2838, "name": "flask_pydantic" }, { "id": 2839, "name": "gcp_storage_emulator" }, { "id": 2840, "name": "flasgger" }, { "id": 2841, "name": "pybars" }, { "id": 2842, "name": "whylabs_client" }, { "id": 4336, "name": "faster_fifo" } ], "last_checked_revision": "3502a63497b87e8bf6086f0746b5b6dc5295ed51\n" }, { "id": 165, "url": "https://github.com/chatpire/chatgpt-web-share", "description": "ChatGPT Plus \u5171\u4eab\u65b9\u6848\u3002ChatGPT Plus / OpenAI API sharing solution.", "stars": 3301, "source_graph_repo_id": 60605286, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 82, "name": "PIL" }, { "id": 184, "name": "utils" }, { "id": 259, "name": "asgiref" }, { "id": 574, "name": "websockets" }, { "id": 1007, "name": "motor" }, { "id": 1028, "name": "ruamel" }, { "id": 1083, "name": "aiofiles" }, { "id": 1403, "name": "beanie" }, { "id": 1407, "name": "fastapi_users_db_sqlalchemy" }, { "id": 1614, "name": "api" }, { "id": 3708, "name": "revChatGPT" }, { "id": 4050, "name": "strenum" }, { "id": 4149, "name": "aiocron" }, { "id": 4150, "name": "fastapi_users" }, { "id": 4704, "name": "fastapi_cache" } ], "last_checked_revision": "e9225eeaeeed6f98c8f998db2efa919ed1c4b975\n" }, { "id": 166, "url": "https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker", "description": "Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning. Optionally with Alpine Linux.", "stars": 2437, "source_graph_repo_id": 39960131, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 778, "name": "docker" } ], "last_checked_revision": "01201e19470c1da7618fa9ab361fe7e5d041b147\n" }, { "id": 167, "url": "https://github.com/Luodian/Otter", "description": "\ud83e\udda6 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.", "stars": 3302, "source_graph_repo_id": 60909753, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 98, "name": "pytz" }, { "id": 108, "name": "inflection" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 154, "name": "datasets" }, { "id": 172, "name": "natsort" }, { "id": 178, "name": "peft" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 292, "name": "flask" }, { "id": 355, "name": "importlib_metadata" }, { "id": 370, "name": "dask" }, { "id": 399, "name": "orjson" }, { "id": 420, "name": "horovod" }, { "id": 455, "name": "prettytable" }, { "id": 551, "name": "deepspeed" }, { "id": 657, "name": "pycocotools" }, { "id": 1071, "name": "markdown2" }, { "id": 1148, "name": "image_utils" }, { "id": 1297, "name": "decord" }, { "id": 1583, "name": "webdataset" }, { "id": 1584, "name": "abstract_dataset" }, { "id": 1585, "name": "braceexpand" }, { "id": 1586, "name": "triton_pre_mlir" }, { "id": 1655, "name": "ijson" }, { "id": 2433, "name": "pycocoevalcap" }, { "id": 2473, "name": "Levenshtein" }, { "id": 3070, "name": "trl" }, { "id": 4255, "name": "litellm" }, { "id": 4472, "name": "otter_ai" }, { "id": 4473, "name": "flamingo" }, { "id": 5059, "name": "modeling_otter" }, { "id": 5060, "name": "mplug_owl_video" } ], "last_checked_revision": "366a09d18c5aa461a76382a75e94d02b3a502107\n" }, { "id": 168, "url": "https://github.com/microsoft/restler-fuzzer", "description": "RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.", "stars": 2364, "source_graph_repo_id": 42380613, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 184, "name": "utils" }, { "id": 236, "name": "sqlmodel" }, { "id": 271, "name": "db" }, { "id": 1054, "name": "schemas" }, { "id": 2966, "name": "engine" }, { "id": 2967, "name": "checkers" }, { "id": 2968, "name": "restler_settings" }, { "id": 2969, "name": "test_servers" } ], "last_checked_revision": "aef01a5a76c297c93645b93e471f65c97dde8807\n" }, { "id": 169, "url": "https://github.com/PaddlePaddle/FastDeploy", "description": "\u26a1\ufe0fAn Easy-to-use and Fast Deep Learning Model Deployment Toolkit for \u2601\ufe0fCloud \ud83d\udcf1Mobile and \ud83d\udcf9Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.", "stars": 2519, "source_graph_repo_id": 58269935, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 85, "name": "tritonclient" }, { "id": 89, "name": "triton_python_backend_utils" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 224, "name": "google" }, { "id": 414, "name": "GPUtil" }, { "id": 438, "name": "cpuinfo" }, { "id": 452, "name": "onnxruntime" }, { "id": 455, "name": "prettytable" }, { "id": 468, "name": "onnx" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 514, "name": "tvm" }, { "id": 657, "name": "pycocotools" }, { "id": 662, "name": "paddleslim" }, { "id": 713, "name": "paddle" }, { "id": 721, "name": "paddleocr" }, { "id": 1004, "name": "colorama" }, { "id": 1347, "name": "recommonmark" }, { "id": 1401, "name": "terminaltables" }, { "id": 1466, "name": "nox" }, { "id": 1518, "name": "pydot" }, { "id": 1666, "name": "pybind11" }, { "id": 1702, "name": "ghapi" }, { "id": 1715, "name": "wheel" }, { "id": 1830, "name": "paddlenlp" }, { "id": 1832, "name": "ppdiffusers" }, { "id": 1835, "name": "soundfile" }, { "id": 2026, "name": "sympy" }, { "id": 2994, "name": "onnxsim" }, { "id": 2999, "name": "coremltools" }, { "id": 3653, "name": "onnxoptimizer" }, { "id": 3825, "name": "gdb" }, { "id": 3826, "name": "trampoline_module" }, { "id": 3827, "name": "cpp" }, { "id": 3828, "name": "rknn" }, { "id": 3829, "name": "widget_module" }, { "id": 3830, "name": "fuse_gtest_files" }, { "id": 3831, "name": "pybind11_tests" }, { "id": 3832, "name": "paddlejslite" }, { "id": 3833, "name": "test_cmake_build" }, { "id": 3834, "name": "gtest_test_utils" }, { "id": 3835, "name": "x2paddle" }, { "id": 3836, "name": "pybind11_cross_module_tests" }, { "id": 3837, "name": "paddlespeech" }, { "id": 3838, "name": "fast_tokenizer" } ], "last_checked_revision": "cfebd24dfc593157a41c4b398afdc75ec7791aa6\n" }, { "id": 170, "url": "https://github.com/run-llama/llama-hub", "description": "A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain", "stars": 2896, "source_graph_repo_id": 60244545, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 20, "name": "pyppeteer" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 40, "name": "pptx" }, { "id": 41, "name": "docx2txt" }, { "id": 42, "name": "weaviate" }, { "id": 43, "name": "pinecone" }, { "id": 44, "name": "chromadb" }, { "id": 46, "name": "azure" }, { "id": 47, "name": "tenacity" }, { "id": 51, "name": "qdrant_client" }, { "id": 53, "name": "PyPDF2" }, { "id": 57, "name": "llama_index" }, { "id": 58, "name": "pymilvus" }, { "id": 59, "name": "elasticsearch" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 92, "name": "pymongo" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 216, "name": "newspaper" }, { "id": 218, "name": "lxml" }, { "id": 222, "name": "jira" }, { "id": 224, "name": "google" }, { "id": 225, "name": "google_auth_oauthlib" }, { "id": 226, "name": "googleapiclient" }, { "id": 243, "name": "html2text" }, { "id": 250, "name": "praw" }, { "id": 251, "name": "playwright" }, { "id": 258, "name": "youtube_transcript_api" }, { "id": 260, "name": "IPython" }, { "id": 266, "name": "discord" }, { "id": 405, "name": "panel" }, { "id": 410, "name": "selenium" }, { "id": 421, "name": "dataclasses_json" }, { "id": 430, "name": "urllib3" }, { "id": 447, "name": "svglib" }, { "id": 450, "name": "reportlab" }, { "id": 477, "name": "webdriver_manager" }, { "id": 500, "name": "graphql" }, { "id": 519, "name": "sentencepiece" }, { "id": 578, "name": "param" }, { "id": 611, "name": "fitz" }, { "id": 612, "name": "pytesseract" }, { "id": 636, "name": "opensearchpy" }, { "id": 639, "name": "whisper" }, { "id": 691, "name": "pdfplumber" }, { "id": 698, "name": "pydub" }, { "id": 722, "name": "pdf2image" }, { "id": 734, "name": "pymysql" }, { "id": 812, "name": "faker" }, { "id": 826, "name": "retrying" }, { "id": 886, "name": "werkzeug" }, { "id": 946, "name": "pytest_mock" }, { "id": 1072, "name": "unstructured" }, { "id": 1131, "name": "minio" }, { "id": 1132, "name": "snowflake" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1730, "name": "firebase_admin" }, { "id": 1762, "name": "tweepy" }, { "id": 1763, "name": "xlrd" }, { "id": 2028, "name": "nbconvert" }, { "id": 2153, "name": "pyhive" }, { "id": 2331, "name": "pypdf" }, { "id": 2335, "name": "feedparser" }, { "id": 2550, "name": "msal" }, { "id": 2556, "name": "atlassian" }, { "id": 2720, "name": "deeplake" }, { "id": 2939, "name": "pdfminer" }, { "id": 3090, "name": "thefuzz" }, { "id": 3285, "name": "apify_client" }, { "id": 3311, "name": "source_typeform" }, { "id": 3321, "name": "source_hubspot" }, { "id": 3322, "name": "airbyte_cdk" }, { "id": 3446, "name": "source_salesforce" }, { "id": 3477, "name": "neo4j" }, { "id": 3482, "name": "simple_salesforce" }, { "id": 3502, "name": "source_zendesk_support" }, { "id": 3524, "name": "source_shopify" }, { "id": 3557, "name": "asana" }, { "id": 3583, "name": "source_stripe" }, { "id": 3615, "name": "gql" }, { "id": 3901, "name": "wikipedia" }, { "id": 3979, "name": "bilibili_api" }, { "id": 3986, "name": "steamship" }, { "id": 3990, "name": "pyairtable" }, { "id": 3994, "name": "zep_python" }, { "id": 3996, "name": "listparser" }, { "id": 3999, "name": "bagel" }, { "id": 4018, "name": "metal_sdk" }, { "id": 4030, "name": "pyowm" }, { "id": 4031, "name": "rdflib" }, { "id": 4037, "name": "multion" }, { "id": 4047, "name": "hubspot" }, { "id": 4055, "name": "semanticscholar" }, { "id": 4056, "name": "KalturaClient" }, { "id": 4057, "name": "ebooklib" }, { "id": 4058, "name": "prepline_sec_filings" }, { "id": 4059, "name": "feedly" }, { "id": 4060, "name": "zulip" }, { "id": 4061, "name": "pandasai" }, { "id": 4062, "name": "chatminer" }, { "id": 4063, "name": "snscrape" }, { "id": 4064, "name": "trello" }, { "id": 4065, "name": "pydrive" }, { "id": 4066, "name": "shopify" }, { "id": 4067, "name": "deepdoctection" }, { "id": 4068, "name": "arxiv" }, { "id": 4069, "name": "couchdb3" }, { "id": 4070, "name": "yelpapi" }, { "id": 4071, "name": "spotipy" }, { "id": 4072, "name": "trafilatura" }, { "id": 4073, "name": "geopy" }, { "id": 4074, "name": "opendal" }, { "id": 4075, "name": "ratelimit" }, { "id": 4076, "name": "gkeepapi" }, { "id": 4077, "name": "osmxtract" }, { "id": 4184, "name": "ansi2html" }, { "id": 4203, "name": "metaphor_python" }, { "id": 4371, "name": "camelot" }, { "id": 4372, "name": "source_gong" }, { "id": 4454, "name": "olefile" }, { "id": 4677, "name": "tavily" }, { "id": 4740, "name": "assemblyai" }, { "id": 4770, "name": "rayyan" }, { "id": 4771, "name": "imdb" }, { "id": 4883, "name": "llmsherpa" }, { "id": 4939, "name": "lilac" }, { "id": 5053, "name": "astrapy" }, { "id": 5237, "name": "phoenix" }, { "id": 5238, "name": "streamlit_pills" }, { "id": 5239, "name": "trulens_eval" }, { "id": 5290, "name": "waii_sdk_py" }, { "id": 5299, "name": "main_content_extractor" }, { "id": 5680, "name": "pypreprocess" } ], "last_checked_revision": "d45de6c18b27f63eaa506f786467323ebc000719\n" }, { "id": 171, "url": "https://github.com/fluentpython/example-code-2e", "description": "Example code for Fluent Python, 2nd edition (O'Reilly 2022) ", "stars": 2641, "source_graph_repo_id": 39981329, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 73, "name": "jinja2" }, { "id": 127, "name": "tqdm" }, { "id": 224, "name": "google" }, { "id": 300, "name": "com" }, { "id": 348, "name": "django" }, { "id": 408, "name": "socketio" }, { "id": 885, "name": "eventlet" }, { "id": 909, "name": "tornado" }, { "id": 913, "name": "cherrypy" }, { "id": 963, "name": "simplejson" }, { "id": 970, "name": "meinheld" }, { "id": 971, "name": "bjoern" }, { "id": 978, "name": "paste" }, { "id": 1008, "name": "waitress" }, { "id": 1140, "name": "gunicorn" }, { "id": 1196, "name": "mako" }, { "id": 1235, "name": "twisted" }, { "id": 1242, "name": "Cheetah" }, { "id": 1463, "name": "gevent" }, { "id": 2269, "name": "fapws" }, { "id": 2275, "name": "diesel" }, { "id": 2279, "name": "rocket" }, { "id": 2280, "name": "flup" }, { "id": 2533, "name": "geolib" }, { "id": 2534, "name": "clockdeco" }, { "id": 2535, "name": "curio" }, { "id": 2536, "name": "bruma" }, { "id": 2537, "name": "pytypes" }, { "id": 2538, "name": "classic_strategy" }, { "id": 2539, "name": "fibo_demo_lru" } ], "last_checked_revision": "28d6d033156831a77b700064997c05a40a83805f\n" }, { "id": 172, "url": "https://github.com/stochasticai/xturing", "description": "Easily build, customize and control your own LLMs", "stars": 2422, "source_graph_repo_id": 60669572, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 76, "name": "click" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 151, "name": "bitsandbytes" }, { "id": 152, "name": "rouge_score" }, { "id": 154, "name": "datasets" }, { "id": 157, "name": "triton" }, { "id": 165, "name": "evaluate" }, { "id": 182, "name": "wandb" }, { "id": 185, "name": "huggingface_hub" }, { "id": 429, "name": "wget" }, { "id": 519, "name": "sentencepiece" }, { "id": 551, "name": "deepspeed" }, { "id": 808, "name": "ipywidgets" }, { "id": 2846, "name": "intel_extension_for_transformers" }, { "id": 4178, "name": "textract" }, { "id": 4179, "name": "xturing" } ], "last_checked_revision": "afc00ba66e40793457c95f133af5500bf2210032\n" }, { "id": 173, "url": "https://github.com/avgupta456/github-trends", "description": "\ud83d\ude80 Level up your GitHub profile readme with customizable cards including LOC statistics!", "stars": 9711, "source_graph_repo_id": 56330329, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 74, "name": "sentry_sdk" }, { "id": 77, "name": "dotenv" }, { "id": 98, "name": "pytz" }, { "id": 224, "name": "google" }, { "id": 689, "name": "src" }, { "id": 1007, "name": "motor" }, { "id": 2613, "name": "svgwrite" }, { "id": 3227, "name": "aiounittest" } ], "last_checked_revision": "f39dbfec02a42fcc9735e1028dae11010595fd56\n" }, { "id": 174, "url": "https://github.com/THUDM/CodeGeeX2", "description": "CodeGeeX2: A More Powerful Multilingual Code Generation Model", "stars": 5965, "source_graph_repo_id": 61401688, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 145, "name": "fire" }, { "id": 189, "name": "accelerate" }, { "id": 1377, "name": "zmq" }, { "id": 4232, "name": "fastllm_pytools" }, { "id": 4269, "name": "ds1000" }, { "id": 4270, "name": "chatglm_cpp" } ], "last_checked_revision": "448db3560b082b24ecf9a9a0da105afee35886c8\n" }, { "id": 175, "url": "https://github.com/ymcui/Chinese-LLaMA-Alpaca-2", "description": "\u4e2d\u6587LLaMA-2 & Alpaca-2\u5927\u6a21\u578b\u4e8c\u671f\u9879\u76ee + 64K\u8d85\u957f\u4e0a\u4e0b\u6587\u6a21\u578b (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)", "stars": 5470, "source_graph_repo_id": 61371089, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 86, "name": "sse_starlette" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 149, "name": "jieba" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 178, "name": "peft" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 206, "name": "langchain" }, { "id": 516, "name": "shortuuid" }, { "id": 558, "name": "vllm" }, { "id": 720, "name": "rouge" }, { "id": 1380, "name": "fastchat" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 4268, "name": "attn_and_long_ctx_patches" } ], "last_checked_revision": "7d9b62799c3c93e9f65a6c81b8e203c0b6fc12bc\n" }, { "id": 176, "url": "https://github.com/LCTT/TranslateProject", "description": "Linux\u4e2d\u56fd\u7ffb\u8bd1\u9879\u76ee", "stars": 2148, "source_graph_repo_id": 80734, "dependencies": [], "last_checked_revision": null }, { "id": 177, "url": "https://github.com/homanp/superagent", "description": "\ud83e\udd77 The open framework for building AI Assistants", "stars": 3492, "source_graph_repo_id": 60992629, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 38, "name": "pydantic" }, { "id": 40, "name": "pptx" }, { "id": 46, "name": "azure" }, { "id": 50, "name": "tiktoken" }, { "id": 51, "name": "qdrant_client" }, { "id": 57, "name": "llama_index" }, { "id": 62, "name": "app" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 560, "name": "llama" }, { "id": 595, "name": "backoff" }, { "id": 660, "name": "colorlog" }, { "id": 691, "name": "pdfplumber" }, { "id": 1059, "name": "decouple" }, { "id": 1061, "name": "jwt" }, { "id": 1308, "name": "slugify" }, { "id": 1413, "name": "bcrypt" }, { "id": 1451, "name": "langchain_experimental" }, { "id": 1689, "name": "algoliasearch" }, { "id": 2217, "name": "prefect" }, { "id": 2719, "name": "segment" }, { "id": 3186, "name": "prisma" }, { "id": 3990, "name": "pyairtable" }, { "id": 3997, "name": "langsmith" }, { "id": 4231, "name": "superagent" }, { "id": 4255, "name": "litellm" }, { "id": 4591, "name": "langfuse" } ], "last_checked_revision": "04c010af3bc8a385e280e6d65fcb0fadeb563386\n" }, { "id": 178, "url": "https://github.com/mirumee/ariadne", "description": "Python library for implementing GraphQL servers using schema-first approach.", "stars": 2103, "source_graph_repo_id": 36829930, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 292, "name": "flask" }, { "id": 500, "name": "graphql" }, { "id": 542, "name": "multipart" }, { "id": 812, "name": "faker" }, { "id": 886, "name": "werkzeug" }, { "id": 953, "name": "freezegun" }, { "id": 1409, "name": "opentracing" }, { "id": 1455, "name": "aiodataloader" }, { "id": 1456, "name": "snapshottest" }, { "id": 1457, "name": "graphql_sync_dataloaders" } ], "last_checked_revision": "f1ca128d9e19591a4edf2af115d230f6be169730\n" }, { "id": 179, "url": "https://github.com/carefree0910/carefree-creator", "description": "AI magics meet Infinite draw board.", "stars": 2092, "source_graph_repo_id": 59295832, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 1057, "name": "kafka" }, { "id": 3075, "name": "qcloud_cos" }, { "id": 3883, "name": "cftool" }, { "id": 3884, "name": "cflearn" }, { "id": 3885, "name": "cfclient" }, { "id": 4024, "name": "obs" }, { "id": 4641, "name": "huaweicloudsdkcore" }, { "id": 4642, "name": "huaweicloudsdkmoderation" } ], "last_checked_revision": "56301960cbe76708fc6c13cff0af728f5d695c1d\n" }, { "id": 180, "url": "https://github.com/fastapi-admin/fastapi-admin", "description": "A fast admin dashboard based on FastAPI and TortoiseORM with tabler ui, inspired by Django admin", "stars": 2317, "source_graph_repo_id": 40559694, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 1010, "name": "tortoise" }, { "id": 1060, "name": "pendulum" }, { "id": 1083, "name": "aiofiles" }, { "id": 1413, "name": "bcrypt" }, { "id": 1545, "name": "babel" } ], "last_checked_revision": "0ed771026c776138aceb4ae98eeb5c976786a193\n" }, { "id": 181, "url": "https://github.com/vastsa/FileCodeBox", "description": "\u6587\u4ef6\u5feb\u9012\u67dc-\u533f\u540d\u53e3\u4ee4\u5206\u4eab\u6587\u672c\uff0c\u6587\u4ef6\uff0c\u50cf\u62ff\u5feb\u9012\u4e00\u6837\u53d6\u6587\u4ef6\uff08File Express Cabinet - Anonymous Passcode Sharing Text, Files, Like Taking Express Delivery for Files\uff09", "stars": 2379, "source_graph_repo_id": 59782802, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 223, "name": "botocore" }, { "id": 1010, "name": "tortoise" }, { "id": 1626, "name": "aioboto3" }, { "id": 2550, "name": "msal" }, { "id": 4074, "name": "opendal" }, { "id": 4381, "name": "office365" } ], "last_checked_revision": "ec0f4c08297abd2887e28a3c2264491d51eb907b\n" }, { "id": 182, "url": "https://github.com/mindee/doctr", "description": "docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.", "stars": 2465, "source_graph_repo_id": 44461063, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 62, "name": "app" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 182, "name": "wandb" }, { "id": 185, "name": "huggingface_hub" }, { "id": 355, "name": "importlib_metadata" }, { "id": 452, "name": "onnxruntime" }, { "id": 471, "name": "shapely" }, { "id": 627, "name": "langdetect" }, { "id": 633, "name": "rapidfuzz" }, { "id": 1237, "name": "defusedxml" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1472, "name": "pyclipper" }, { "id": 1618, "name": "unidecode" }, { "id": 1619, "name": "hdf5storage" }, { "id": 1620, "name": "pypdfium2" }, { "id": 1621, "name": "fastprogress" }, { "id": 1622, "name": "clearml" }, { "id": 1623, "name": "weasyprint" }, { "id": 1624, "name": "tf2onnx" }, { "id": 1625, "name": "mplcursors" } ], "last_checked_revision": "5105f98bcbe736989c25627c12ad71475e1672fd\n" }, { "id": 183, "url": "https://github.com/codingforentrepreneurs/30-Days-of-Python", "description": "Learn Python for the next 30 (or so) Days. ", "stars": 2051, "source_graph_repo_id": 489029, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 82, "name": "PIL" }, { "id": 145, "name": "fire" }, { "id": 209, "name": "requests_html" }, { "id": 292, "name": "flask" }, { "id": 410, "name": "selenium" }, { "id": 1008, "name": "waitress" }, { "id": 1392, "name": "moviepy" } ], "last_checked_revision": "08316996be7c55efd56036209907568a238c26fc\n" }, { "id": 184, "url": "https://github.com/PhoebusSi/Alpaca-CoT", "description": "We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. \u6211\u4eec\u6253\u9020\u4e86\u65b9\u4fbf\u7814\u7a76\u4eba\u5458\u4e0a\u624b\u548c\u4f7f\u7528\u5927\u6a21\u578b\u7b49\u5fae\u8c03\u5e73\u53f0\uff0c\u6211\u4eec\u6b22\u8fce\u5f00\u6e90\u7231\u597d\u8005\u53d1\u8d77\u4efb\u4f55\u6709\u610f\u4e49\u7684pr\uff01", "stars": 2270, "source_graph_repo_id": 60685315, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 34, "name": "uvicorn" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 165, "name": "evaluate" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 743, "name": "parameterized" }, { "id": 1640, "name": "github" } ], "last_checked_revision": "bd46c44e0d0d88522b6d817f9610e3eb1050784d\n" }, { "id": 185, "url": "https://github.com/deforum-art/sd-webui-deforum", "description": "Deforum extension for AUTOMATIC1111's Stable Diffusion webui", "stars": 2339, "source_graph_repo_id": 59348090, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 94, "name": "clip" }, { "id": 105, "name": "timm" }, { "id": 111, "name": "einops" }, { "id": 118, "name": "gradio" }, { "id": 119, "name": "basicsr" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 139, "name": "model" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 185, "name": "huggingface_hub" }, { "id": 200, "name": "models" }, { "id": 224, "name": "google" }, { "id": 354, "name": "third_party" }, { "id": 452, "name": "onnxruntime" }, { "id": 454, "name": "zoedepth" }, { "id": 457, "name": "launch" }, { "id": 467, "name": "openvino" }, { "id": 470, "name": "midas" }, { "id": 476, "name": "modules" }, { "id": 1340, "name": "general_utils" }, { "id": 1345, "name": "trails" }, { "id": 1392, "name": "moviepy" }, { "id": 1913, "name": "numexpr" }, { "id": 2179, "name": "lib" }, { "id": 3910, "name": "torchsparse" }, { "id": 3911, "name": "leres" }, { "id": 3912, "name": "film_interpolation" }, { "id": 3913, "name": "deforum_api_models" }, { "id": 3914, "name": "deforum_api" }, { "id": 3915, "name": "rife" }, { "id": 3916, "name": "pydantic_requests" }, { "id": 3917, "name": "clipseg" }, { "id": 3918, "name": "plyfile" }, { "id": 3919, "name": "evaluation_utils" }, { "id": 3920, "name": "py3d_tools" }, { "id": 3921, "name": "webui" }, { "id": 3922, "name": "infer" }, { "id": 3923, "name": "deforum_helpers" } ], "last_checked_revision": "d3b00b3ce46d7c8a8fc425a4f869070bba147d4a\n" }, { "id": 186, "url": "https://github.com/NVIDIA/NeMo-Guardrails", "description": "NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.", "stars": 2727, "source_graph_repo_id": 60881073, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 43, "name": "pinecone" }, { "id": 57, "name": "llama_index" }, { "id": 73, "name": "jinja2" }, { "id": 85, "name": "tritonclient" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 154, "name": "datasets" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 246, "name": "sentence_transformers" }, { "id": 255, "name": "spacy" }, { "id": 409, "name": "watchdog" }, { "id": 615, "name": "faiss" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 2078, "name": "annoy" }, { "id": 3759, "name": "aioresponses" }, { "id": 4211, "name": "simpleeval" }, { "id": 4212, "name": "detect_secrets" }, { "id": 4327, "name": "gpt4pandas" }, { "id": 4437, "name": "presidio_anonymizer" }, { "id": 4438, "name": "presidio_analyzer" }, { "id": 5240, "name": "alignscore" } ], "last_checked_revision": "3273ca73b8427a1b8d63cbccc4a62fe2b23ce5ff\n" }, { "id": 187, "url": "https://github.com/Josh-XT/AGiXT", "description": "AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.", "stars": 2238, "source_graph_repo_id": 60838307, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 41, "name": "docx2txt" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 60, "name": "psycopg2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 91, "name": "mysql" }, { "id": 124, "name": "git" }, { "id": 135, "name": "pkg_resources" }, { "id": 151, "name": "bitsandbytes" }, { "id": 183, "name": "openai" }, { "id": 189, "name": "accelerate" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 227, "name": "websocket" }, { "id": 251, "name": "playwright" }, { "id": 255, "name": "spacy" }, { "id": 271, "name": "db" }, { "id": 479, "name": "regex" }, { "id": 520, "name": "nomic" }, { "id": 556, "name": "anthropic" }, { "id": 691, "name": "pdfplumber" }, { "id": 698, "name": "pydub" }, { "id": 710, "name": "readers" }, { "id": 778, "name": "docker" }, { "id": 896, "name": "llama_cpp" }, { "id": 1061, "name": "jwt" }, { "id": 1075, "name": "bardapi" }, { "id": 1210, "name": "sendgrid" }, { "id": 1382, "name": "ffmpeg" }, { "id": 1432, "name": "requests_toolbelt" }, { "id": 1762, "name": "tweepy" }, { "id": 3708, "name": "revChatGPT" }, { "id": 4275, "name": "agixtsdk" }, { "id": 4276, "name": "g4f" }, { "id": 4277, "name": "Bard" }, { "id": 4278, "name": "Memories" }, { "id": 4279, "name": "DBConnection" }, { "id": 4280, "name": "Extensions" }, { "id": 4281, "name": "hugchat" }, { "id": 4282, "name": "Providers" }, { "id": 4328, "name": "petals" }, { "id": 4329, "name": "providers" }, { "id": 4338, "name": "ApiClient" }, { "id": 4629, "name": "Models" }, { "id": 4630, "name": "Interactions" }, { "id": 4631, "name": "Defaults" }, { "id": 4632, "name": "whispercpp" }, { "id": 4633, "name": "Embedding" }, { "id": 4634, "name": "Chains" }, { "id": 4672, "name": "local_llm" }, { "id": 4673, "name": "safeexecute" }, { "id": 4751, "name": "whisper_cpp" }, { "id": 4978, "name": "fb" } ], "last_checked_revision": "a68c164610d168e9d769b6e52cce3f4b4e9ce917\n" }, { "id": 188, "url": "https://github.com/DominikDoom/a1111-sd-webui-tagcomplete", "description": "Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI", "stars": 2217, "source_graph_repo_id": 59329751, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 31, "name": "yaml" }, { "id": 118, "name": "gradio" }, { "id": 125, "name": "lora" }, { "id": 476, "name": "modules" } ], "last_checked_revision": "c659ed21550e3ae3c3bd2d8f0f4e566aeae7ecfd\n" }, { "id": 189, "url": "https://github.com/young-geng/EasyLM", "description": "Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.", "stars": 2083, "source_graph_repo_id": 59616750, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 111, "name": "einops" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 154, "name": "datasets" }, { "id": 177, "name": "h5py" }, { "id": 245, "name": "absl" }, { "id": 519, "name": "sentencepiece" }, { "id": 849, "name": "jax" }, { "id": 894, "name": "optax" }, { "id": 895, "name": "lm_eval" }, { "id": 1107, "name": "msgpack" }, { "id": 1116, "name": "flax" }, { "id": 1156, "name": "ml_collections" }, { "id": 3939, "name": "mlxu" } ], "last_checked_revision": "f926148081c9eddcc85df4a4d2277aa68a1efc47\n" }, { "id": 190, "url": "https://github.com/alldatacenter/alldata", "description": "\ud83d\udd25\ud83d\udd25 AllData\u5927\u6570\u636e\u4ea7\u54c1\u662f\u53ef\u5b9a\u4e49\u6570\u636e\u4e2d\u53f0\uff0c\u4ee5\u6570\u636e\u5e73\u53f0\u4e3a\u5e95\u5ea7\uff0c\u4ee5\u6570\u636e\u4e2d\u53f0\u4e3a\u6865\u6881\uff0c\u4ee5\u673a\u5668\u5b66\u4e60\u5e73\u53f0\uff0cGPT\u5e73\u53f0\u4e3a\u6846\u67b6\uff0c\u63d0\u4f9b\u5168\u94fe\u8def\u6570\u5b57\u5316\u89e3\u51b3\u65b9\u6848\u3002\u5fae\u4fe1\u7fa4\uff1ahttps://docs.qq.com/doc/DVHlkSEtvVXVCdEFo ", "stars": 1958, "source_graph_repo_id": 39362106, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 5, "name": "mlflow" }, { "id": 7, "name": "great_expectations" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 45, "name": "arrow" }, { "id": 46, "name": "azure" }, { "id": 47, "name": "tenacity" }, { "id": 49, "name": "grpc" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 59, "name": "elasticsearch" }, { "id": 60, "name": "psycopg2" }, { "id": 61, "name": "alembic" }, { "id": 62, "name": "app" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 78, "name": "imageio" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 87, "name": "tokenizers" }, { "id": 90, "name": "environs" }, { "id": 91, "name": "mysql" }, { "id": 92, "name": "pymongo" }, { "id": 94, "name": "clip" }, { "id": 96, "name": "rich" }, { "id": 97, "name": "omegaconf" }, { "id": 98, "name": "pytz" }, { "id": 105, "name": "timm" }, { "id": 108, "name": "inflection" }, { "id": 111, "name": "einops" }, { "id": 115, "name": "packaging" }, { "id": 121, "name": "lark" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 144, "name": "megatron" }, { "id": 149, "name": "jieba" }, { "id": 152, "name": "rouge_score" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 174, "name": "albumentations" }, { "id": 177, "name": "h5py" }, { "id": 180, "name": "apex" }, { "id": 182, "name": "wandb" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 186, "name": "seaborn" }, { "id": 190, "name": "locust" }, { "id": 191, "name": "taming" }, { "id": 193, "name": "scripts" }, { "id": 200, "name": "models" }, { "id": 207, "name": "black" }, { "id": 210, "name": "slack_sdk" }, { "id": 211, "name": "requests_oauthlib" }, { "id": 215, "name": "cryptography" }, { "id": 217, "name": "confluent_kafka" }, { "id": 218, "name": "lxml" }, { "id": 222, "name": "jira" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 229, "name": "retry" }, { "id": 245, "name": "absl" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 272, "name": "bson" }, { "id": 273, "name": "airflow" }, { "id": 278, "name": "plotly" }, { "id": 287, "name": "attrs" }, { "id": 290, "name": "requests_mock" }, { "id": 292, "name": "flask" }, { "id": 309, "name": "myapp" }, { "id": 313, "name": "mypy_extensions" }, { "id": 322, "name": "py" }, { "id": 341, "name": "paramiko" }, { "id": 348, "name": "django" }, { "id": 349, "name": "mock" }, { "id": 351, "name": "sphinx" }, { "id": 355, "name": "importlib_metadata" }, { "id": 370, "name": "dask" }, { "id": 372, "name": "this" }, { "id": 373, "name": "tests" }, { "id": 396, "name": "module" }, { "id": 399, "name": "orjson" }, { "id": 410, "name": "selenium" }, { "id": 418, "name": "joblib" }, { "id": 420, "name": "horovod" }, { "id": 428, "name": "marshmallow" }, { "id": 430, "name": "urllib3" }, { "id": 436, "name": "mpl_toolkits" }, { "id": 439, "name": "torchaudio" }, { "id": 442, "name": "filelock" }, { "id": 444, "name": "panopticapi" }, { "id": 445, "name": "pygments" }, { "id": 446, "name": "tensorboardX" }, { "id": 449, "name": "hydra" }, { "id": 451, "name": "mmdet" }, { "id": 452, "name": "onnxruntime" }, { "id": 455, "name": "prettytable" }, { "id": 461, "name": "ftfy" }, { "id": 462, "name": "yapf" }, { "id": 468, "name": "onnx" }, { "id": 469, "name": "termcolor" }, { "id": 472, "name": "kornia" }, { "id": 473, "name": "lvis" }, { "id": 475, "name": "cityscapesscripts" }, { "id": 479, "name": "regex" }, { "id": 481, "name": "addict" }, { "id": 482, "name": "pavi" }, { "id": 486, "name": "mmcv" }, { "id": 495, "name": "Cython" }, { "id": 497, "name": "prometheus_client" }, { "id": 509, "name": "docutils" }, { "id": 511, "name": "mypy" }, { "id": 519, "name": "sentencepiece" }, { "id": 521, "name": "jsonlines" }, { "id": 531, "name": "opentelemetry" }, { "id": 534, "name": "torch_xla" }, { "id": 548, "name": "markupsafe" }, { "id": 551, "name": "deepspeed" }, { "id": 555, "name": "polyglot" }, { "id": 565, "name": "s3fs" }, { "id": 569, "name": "deepdiff" }, { "id": 572, "name": "croniter" }, { "id": 587, "name": "flask_cors" }, { "id": 595, "name": "backoff" }, { "id": 605, "name": "mpi4py" }, { "id": 607, "name": "tensorboard" }, { "id": 616, "name": "seqeval" }, { "id": 617, "name": "astroid" }, { "id": 620, "name": "networkx" }, { "id": 630, "name": "pylint" }, { "id": 631, "name": "responses" }, { "id": 635, "name": "requests_cache" }, { "id": 640, "name": "numba" }, { "id": 657, "name": "pycocotools" }, { "id": 659, "name": "easydict" }, { "id": 667, "name": "sqlparse" }, { "id": 689, "name": "src" }, { "id": 690, "name": "markdown" }, { "id": 694, "name": "progressbar" }, { "id": 701, "name": "subword_nmt" }, { "id": 706, "name": "pythainlp" }, { "id": 712, "name": "mmh3" }, { "id": 719, "name": "_io" }, { "id": 720, "name": "rouge" }, { "id": 734, "name": "pymysql" }, { "id": 737, "name": "pip" }, { "id": 743, "name": "parameterized" }, { "id": 754, "name": "librosa" }, { "id": 765, "name": "attr" }, { "id": 772, "name": "config" }, { "id": 778, "name": "docker" }, { "id": 788, "name": "papermill" }, { "id": 791, "name": "shap" }, { "id": 794, "name": "moto" }, { "id": 798, "name": "fasttext" }, { "id": 799, "name": "xgboost" }, { "id": 802, "name": "xmltodict" }, { "id": 808, "name": "ipywidgets" }, { "id": 819, "name": "pyspark" }, { "id": 826, "name": "retrying" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 849, "name": "jax" }, { "id": 857, "name": "keras" }, { "id": 860, "name": "ts" }, { "id": 862, "name": "fairseq" }, { "id": 866, "name": "util" }, { "id": 872, "name": "catboost" }, { "id": 886, "name": "werkzeug" }, { "id": 893, "name": "smart_open" }, { "id": 901, "name": "hypothesis" }, { "id": 902, "name": "overrides" }, { "id": 909, "name": "tornado" }, { "id": 923, "name": "bottle" }, { "id": 937, "name": "invoke" }, { "id": 946, "name": "pytest_mock" }, { "id": 951, "name": "pytest_lazyfixture" }, { "id": 953, "name": "freezegun" }, { "id": 954, "name": "statsmodels" }, { "id": 961, "name": "pywt" }, { "id": 963, "name": "simplejson" }, { "id": 968, "name": "MySQLdb" }, { "id": 974, "name": "cachetools" }, { "id": 1004, "name": "colorama" }, { "id": 1008, "name": "waitress" }, { "id": 1012, "name": "traitlets" }, { "id": 1016, "name": "statsd" }, { "id": 1020, "name": "pytablewriter" }, { "id": 1021, "name": "oauthlib" }, { "id": 1028, "name": "ruamel" }, { "id": 1045, "name": "chardet" }, { "id": 1048, "name": "clickhouse_driver" }, { "id": 1057, "name": "kafka" }, { "id": 1060, "name": "pendulum" }, { "id": 1061, "name": "jwt" }, { "id": 1068, "name": "docx" }, { "id": 1074, "name": "duckdb" }, { "id": 1087, "name": "netifaces" }, { "id": 1094, "name": "detectron2" }, { "id": 1103, "name": "cattr" }, { "id": 1107, "name": "msgpack" }, { "id": 1112, "name": "filetype" }, { "id": 1115, "name": "grpc_reflection" }, { "id": 1119, "name": "bentoml" }, { "id": 1123, "name": "common" }, { "id": 1125, "name": "bytewax" }, { "id": 1126, "name": "assertpy" }, { "id": 1127, "name": "fissix" }, { "id": 1128, "name": "cassandra" }, { "id": 1129, "name": "testcontainers" }, { "id": 1130, "name": "mangum" }, { "id": 1131, "name": "minio" }, { "id": 1132, "name": "snowflake" }, { "id": 1134, "name": "kubernetes" }, { "id": 1135, "name": "_snowflake" }, { "id": 1136, "name": "proto" }, { "id": 1137, "name": "happybase" }, { "id": 1138, "name": "feast" }, { "id": 1139, "name": "dill" }, { "id": 1140, "name": "gunicorn" }, { "id": 1141, "name": "bowler" }, { "id": 1142, "name": "typeguard" }, { "id": 1156, "name": "ml_collections" }, { "id": 1159, "name": "projects" }, { "id": 1176, "name": "ratelimiter" }, { "id": 1179, "name": "pymssql" }, { "id": 1181, "name": "oracledb" }, { "id": 1205, "name": "rsa" }, { "id": 1211, "name": "pycurl" }, { "id": 1214, "name": "polymorphic" }, { "id": 1239, "name": "pyodbc" }, { "id": 1255, "name": "helpers" }, { "id": 1256, "name": "rest_framework" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1265, "name": "cx_Oracle" }, { "id": 1272, "name": "ldap" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1287, "name": "ldap3" }, { "id": 1297, "name": "decord" }, { "id": 1308, "name": "slugify" }, { "id": 1343, "name": "pyparsing" }, { "id": 1369, "name": "impala" }, { "id": 1386, "name": "sacrebleu" }, { "id": 1392, "name": "moviepy" }, { "id": 1401, "name": "terminaltables" }, { "id": 1430, "name": "parse" }, { "id": 1431, "name": "vcr" }, { "id": 1439, "name": "bleach" }, { "id": 1442, "name": "pyld" }, { "id": 1448, "name": "humanize" }, { "id": 1450, "name": "datamodel_code_generator" }, { "id": 1452, "name": "ipdb" }, { "id": 1463, "name": "gevent" }, { "id": 1465, "name": "unittest2" }, { "id": 1474, "name": "wtforms" }, { "id": 1477, "name": "fastavro" }, { "id": 1478, "name": "avro" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1505, "name": "sacremoses" }, { "id": 1506, "name": "typing_inspect" }, { "id": 1518, "name": "pydot" }, { "id": 1526, "name": "py4j" }, { "id": 1535, "name": "flask_login" }, { "id": 1551, "name": "setuptools_scm" }, { "id": 1556, "name": "gcsfs" }, { "id": 1558, "name": "pika" }, { "id": 1576, "name": "elasticsearch_dsl" }, { "id": 1614, "name": "api" }, { "id": 1618, "name": "unidecode" }, { "id": 1640, "name": "github" }, { "id": 1655, "name": "ijson" }, { "id": 1664, "name": "vertica_python" }, { "id": 1666, "name": "pybind11" }, { "id": 1671, "name": "beaker" }, { "id": 1697, "name": "flask_caching" }, { "id": 1709, "name": "mypy_boto3_s3" }, { "id": 1715, "name": "wheel" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 1739, "name": "httplib2" }, { "id": 1754, "name": "apiclient" }, { "id": 1792, "name": "isodate" }, { "id": 1800, "name": "unidiff" }, { "id": 1817, "name": "inflect" }, { "id": 1835, "name": "soundfile" }, { "id": 1837, "name": "nose" }, { "id": 1872, "name": "stripe" }, { "id": 1873, "name": "flask_babel" }, { "id": 1874, "name": "flask_migrate" }, { "id": 1892, "name": "graphviz" }, { "id": 1899, "name": "wcwidth" }, { "id": 1919, "name": "virtualenv" }, { "id": 1973, "name": "lz4" }, { "id": 1975, "name": "mars" }, { "id": 1987, "name": "databricks_cli" }, { "id": 1991, "name": "entrypoints" }, { "id": 1995, "name": "delta" }, { "id": 2000, "name": "prophet" }, { "id": 2002, "name": "databricks" }, { "id": 2077, "name": "astropy" }, { "id": 2100, "name": "data_utils" }, { "id": 2120, "name": "tasks" }, { "id": 2153, "name": "pyhive" }, { "id": 2156, "name": "flask_restful" }, { "id": 2157, "name": "kfp" }, { "id": 2168, "name": "google_auth_httplib2" }, { "id": 2179, "name": "lib" }, { "id": 2232, "name": "assets" }, { "id": 2252, "name": "jpmml_evaluator" }, { "id": 2271, "name": "flask_wtf" }, { "id": 2289, "name": "dj_database_url" }, { "id": 2313, "name": "django_heroku" }, { "id": 2318, "name": "marshmallow_sqlalchemy" }, { "id": 2321, "name": "face_recognition" }, { "id": 2335, "name": "feedparser" }, { "id": 2348, "name": "requests_futures" }, { "id": 2350, "name": "alibabacloud_tea_openapi" }, { "id": 2352, "name": "pyrad" }, { "id": 2356, "name": "kerberos" }, { "id": 2370, "name": "hypothesis_jsonschema" }, { "id": 2454, "name": "pytorch_transformers" }, { "id": 2457, "name": "memory_profiler" }, { "id": 2480, "name": "examples" }, { "id": 2486, "name": "amp_C" }, { "id": 2512, "name": "stanza" }, { "id": 2550, "name": "msal" }, { "id": 2565, "name": "apispec" }, { "id": 2576, "name": "snap7" }, { "id": 2650, "name": "Bio" }, { "id": 2667, "name": "kazoo" }, { "id": 2672, "name": "greenlet" }, { "id": 2697, "name": "imgaug" }, { "id": 2721, "name": "unit_tests" }, { "id": 2754, "name": "sgqlc" }, { "id": 2773, "name": "tf_slim" }, { "id": 2828, "name": "nlpcda" }, { "id": 2834, "name": "torchcrf" }, { "id": 2840, "name": "flasgger" }, { "id": 2843, "name": "deprecated" }, { "id": 2868, "name": "tushare" }, { "id": 2884, "name": "jsonpickle" }, { "id": 2929, "name": "hello_world" }, { "id": 2990, "name": "tools" }, { "id": 3041, "name": "model_archiver" }, { "id": 3056, "name": "analytics" }, { "id": 3065, "name": "dpath" }, { "id": 3076, "name": "oss2" }, { "id": 3099, "name": "python_on_whales" }, { "id": 3164, "name": "cli" }, { "id": 3188, "name": "cached_property" }, { "id": 3203, "name": "pysnooper" }, { "id": 3204, "name": "dlib" }, { "id": 3205, "name": "prison" }, { "id": 3206, "name": "job" }, { "id": 3207, "name": "wtforms_json" }, { "id": 3208, "name": "flask_talisman" }, { "id": 3209, "name": "flask_appbuilder" }, { "id": 3210, "name": "tensorflow_recommenders_addons" }, { "id": 3213, "name": "nni" }, { "id": 3215, "name": "darknetpy" }, { "id": 3216, "name": "myapp_config" }, { "id": 3219, "name": "parsedatetime" }, { "id": 3220, "name": "flask_compress" }, { "id": 3221, "name": "contextlib2" }, { "id": 3222, "name": "pydruid" }, { "id": 3228, "name": "dbt_artifacts_parser" }, { "id": 3229, "name": "source_notion" }, { "id": 3230, "name": "ptsd_jbroll" }, { "id": 3231, "name": "data_export" }, { "id": 3232, "name": "spellchecker" }, { "id": 3233, "name": "source_iterable" }, { "id": 3234, "name": "jproperties" }, { "id": 3235, "name": "handlers" }, { "id": 3236, "name": "source_sftp_bulk" }, { "id": 3237, "name": "source_google_search_console" }, { "id": 3238, "name": "scrapbook" }, { "id": 3239, "name": "source_mixpanel" }, { "id": 3240, "name": "source_babelforce" }, { "id": 3241, "name": "source_hubplanner" }, { "id": 3242, "name": "clickhouse_grpc_pb2_grpc" }, { "id": 3243, "name": "tap_quickbooks" }, { "id": 3244, "name": "appstoreconnect" }, { "id": 3245, "name": "source_file" }, { "id": 3246, "name": "source_us_census" }, { "id": 3247, "name": "aes_encryption" }, { "id": 3248, "name": "source_genesys" }, { "id": 3249, "name": "graphlearn" }, { "id": 3250, "name": "source_pocket" }, { "id": 3251, "name": "ttsfrd" }, { "id": 3252, "name": "source_timely" }, { "id": 3253, "name": "source_aws_cloudtrail" }, { "id": 3254, "name": "source_youtube_analytics" }, { "id": 3255, "name": "princflags" }, { "id": 3256, "name": "source_yahoo_finance_price" }, { "id": 3257, "name": "rest_polymorphic" }, { "id": 3258, "name": "source_freshsales" }, { "id": 3259, "name": "normalization" }, { "id": 3260, "name": "flatten_dict" }, { "id": 3261, "name": "datadog_checks" }, { "id": 3262, "name": "source_adjust" }, { "id": 3263, "name": "finetune_glm" }, { "id": 3264, "name": "source_marketo" }, { "id": 3265, "name": "pyapacheatlas" }, { "id": 3266, "name": "connector_acceptance_test" }, { "id": 3267, "name": "shotdetect_scenedetect_lgss" }, { "id": 3268, "name": "jsonplus" }, { "id": 3269, "name": "source_rss" }, { "id": 3270, "name": "source_mailgun" }, { "id": 3271, "name": "tubemq_tdmsg" }, { "id": 3272, "name": "videofeatures_clipit" }, { "id": 3273, "name": "simdjson" }, { "id": 3274, "name": "source_zoho_crm" }, { "id": 3275, "name": "web" }, { "id": 3276, "name": "source_monday" }, { "id": 3277, "name": "lief" }, { "id": 3278, "name": "registry" }, { "id": 3279, "name": "clickhouse" }, { "id": 3280, "name": "source_zendesk_chat" }, { "id": 3281, "name": "kws_util" }, { "id": 3282, "name": "ci_changes_detection" }, { "id": 3283, "name": "requests_unixsocket" }, { "id": 3284, "name": "spec_linter" }, { "id": 3285, "name": "apify_client" }, { "id": 3286, "name": "opcua" }, { "id": 3287, "name": "schema_generator" }, { "id": 3288, "name": "ci_credentials" }, { "id": 3289, "name": "looker_sdk" }, { "id": 3290, "name": "dict2xml" }, { "id": 3291, "name": "source_kyriba" }, { "id": 3292, "name": "source_google_analytics_v4" }, { "id": 3293, "name": "source_facebook_pages" }, { "id": 3294, "name": "atlas_start" }, { "id": 3295, "name": "auto_labeling_pipeline" }, { "id": 3296, "name": "easycv" }, { "id": 3297, "name": "testflows" }, { "id": 3298, "name": "bingads" }, { "id": 3299, "name": "source_recharge" }, { "id": 3300, "name": "source_greenhouse" }, { "id": 3301, "name": "ci_code_validator" }, { "id": 3302, "name": "facebook_business" }, { "id": 3303, "name": "atlas_config" }, { "id": 3304, "name": "mdutils" }, { "id": 3305, "name": "pyhocon" }, { "id": 3306, "name": "destination_databend" }, { "id": 3307, "name": "source_webflow" }, { "id": 3308, "name": "nats" }, { "id": 3309, "name": "suds" }, { "id": 3310, "name": "source_dockerhub" }, { "id": 3311, "name": "source_typeform" }, { "id": 3312, "name": "requests_kerberos" }, { "id": 3313, "name": "source_chargify" }, { "id": 3314, "name": "source_railz" }, { "id": 3315, "name": "neptune_python_utils" }, { "id": 3316, "name": "destination_amazon_sqs" }, { "id": 3317, "name": "plaid" }, { "id": 3318, "name": "source_rd_station_marketing" }, { "id": 3319, "name": "tubemq_errcode" }, { "id": 3320, "name": "source_salesloft" }, { "id": 3321, "name": "source_hubspot" }, { "id": 3322, "name": "airbyte_cdk" }, { "id": 3323, "name": "sklearn2pmml" }, { "id": 3324, "name": "nacos" }, { "id": 3325, "name": "source_flexport" }, { "id": 3326, "name": "source_copper" }, { "id": 3327, "name": "firebolt" }, { "id": 3328, "name": "genson" }, { "id": 3329, "name": "source_confluence" }, { "id": 3330, "name": "source_chargebee" }, { "id": 3331, "name": "django_drf_filepond" }, { "id": 3332, "name": "function_service_pb2" }, { "id": 3333, "name": "source_convex" }, { "id": 3334, "name": "source_qualaroo" }, { "id": 3335, "name": "dask_sql" }, { "id": 3336, "name": "window_functions" }, { "id": 3337, "name": "sqllineage" }, { "id": 3338, "name": "unicore" }, { "id": 3339, "name": "destination_kvdb" }, { "id": 3340, "name": "pyaml" }, { "id": 3341, "name": "source_bing_ads" }, { "id": 3342, "name": "source_file_secure" }, { "id": 3343, "name": "source_primetric" }, { "id": 3344, "name": "k5test" }, { "id": 3345, "name": "source_auth0" }, { "id": 3346, "name": "sqlalchemy_redshift" }, { "id": 3347, "name": "source_bamboo_hr" }, { "id": 3348, "name": "datetime64_extended_range" }, { "id": 3349, "name": "source_braintree" }, { "id": 3350, "name": "grammarinator" }, { "id": 3351, "name": "source_appfollow" }, { "id": 3352, "name": "instaboostfast" }, { "id": 3353, "name": "map_type" }, { "id": 3354, "name": "source_zendesk_talk" }, { "id": 3355, "name": "source_airtable" }, { "id": 3356, "name": "recurly" }, { "id": 3357, "name": "textnas_final" }, { "id": 3358, "name": "integration_tests" }, { "id": 3359, "name": "atlasclient" }, { "id": 3360, "name": "source_zuora" }, { "id": 3361, "name": "source_alpha_vantage" }, { "id": 3362, "name": "source_harvest" }, { "id": 3363, "name": "tubemq_client" }, { "id": 3364, "name": "destination_duckdb" }, { "id": 3365, "name": "model_mommy" }, { "id": 3366, "name": "ranger_performance_tool" }, { "id": 3367, "name": "ci_sonar_qube" }, { "id": 3368, "name": "jsonref" }, { "id": 3369, "name": "destination_sqlite" }, { "id": 3370, "name": "source_firebolt" }, { "id": 3371, "name": "source_slack" }, { "id": 3372, "name": "databend_sqlalchemy" }, { "id": 3373, "name": "octavia_cli" }, { "id": 3374, "name": "learning_rates" }, { "id": 3375, "name": "generation_utils" }, { "id": 3376, "name": "source_amazon_ads" }, { "id": 3377, "name": "okta" }, { "id": 3378, "name": "client" }, { "id": 3379, "name": "openmetadata" }, { "id": 3380, "name": "source_sendgrid" }, { "id": 3381, "name": "alibabacloud_cs20151215" }, { "id": 3382, "name": "drf_yasg" }, { "id": 3383, "name": "teradatasql" }, { "id": 3384, "name": "test_library_bridge" }, { "id": 3385, "name": "jaydebeapi" }, { "id": 3386, "name": "tubemq_config" }, { "id": 3387, "name": "test_odbc_interaction" }, { "id": 3388, "name": "kfserving" }, { "id": 3389, "name": "alibabacloud_vpc20160428" }, { "id": 3390, "name": "_scproxy" }, { "id": 3391, "name": "deltalake" }, { "id": 3392, "name": "source_klaviyo" }, { "id": 3393, "name": "marshmallow3_annotations" }, { "id": 3394, "name": "amundsen_application" }, { "id": 3395, "name": "grpc_tools" }, { "id": 3396, "name": "source_github" }, { "id": 3397, "name": "dbt" }, { "id": 3398, "name": "kwsbp" }, { "id": 3399, "name": "modelscope" }, { "id": 3400, "name": "source_public_apis" }, { "id": 3401, "name": "cup" }, { "id": 3402, "name": "timeout_decorator" }, { "id": 3403, "name": "ci_connector_ops" }, { "id": 3404, "name": "source_pivotal_tracker" }, { "id": 3405, "name": "source_orbit" }, { "id": 3406, "name": "source_looker" }, { "id": 3407, "name": "source_zenefits" }, { "id": 3408, "name": "extended_precision_data_types" }, { "id": 3409, "name": "pattern" }, { "id": 3410, "name": "artist" }, { "id": 3411, "name": "source_gridly" }, { "id": 3412, "name": "xtcocotools" }, { "id": 3413, "name": "source_scaffold_source_http" }, { "id": 3414, "name": "globmatch" }, { "id": 3415, "name": "metadata" }, { "id": 3416, "name": "destination_meilisearch" }, { "id": 3417, "name": "flatten_json" }, { "id": 3418, "name": "pretrain_glm" }, { "id": 3419, "name": "source_gitlab" }, { "id": 3420, "name": "source_pipedrive" }, { "id": 3421, "name": "roles" }, { "id": 3422, "name": "kdcproxy" }, { "id": 3423, "name": "pyvi" }, { "id": 3424, "name": "source_lemlist" }, { "id": 3425, "name": "pandavro" }, { "id": 3426, "name": "dagster_graphql" }, { "id": 3427, "name": "schema_registry" }, { "id": 3428, "name": "pyexcel" }, { "id": 3429, "name": "graphscope" }, { "id": 3430, "name": "source_gnews" }, { "id": 3431, "name": "cvxopt" }, { "id": 3432, "name": "source_declarative_manifest" }, { "id": 3433, "name": "destination_firestore" }, { "id": 3434, "name": "antlr4" }, { "id": 3435, "name": "source_posthog" }, { "id": 3436, "name": "runtime" }, { "id": 3437, "name": "pyathena" }, { "id": 3438, "name": "source_shortio" }, { "id": 3439, "name": "source_pinterest" }, { "id": 3440, "name": "aerospike" }, { "id": 3441, "name": "source_s3" }, { "id": 3442, "name": "source_yandex_metrica" }, { "id": 3443, "name": "label_types" }, { "id": 3444, "name": "feathr" }, { "id": 3445, "name": "source_amazon_sqs" }, { "id": 3446, "name": "source_salesforce" }, { "id": 3447, "name": "source_linkedin_ads" }, { "id": 3448, "name": "source_outreach" }, { "id": 3449, "name": "odps" }, { "id": 3450, "name": "pydomo" }, { "id": 3451, "name": "jpype" }, { "id": 3452, "name": "source_snapchat_marketing" }, { "id": 3453, "name": "alps" }, { "id": 3454, "name": "apache_atlas" }, { "id": 3455, "name": "source_lever_hiring" }, { "id": 3456, "name": "apache_ranger" }, { "id": 3457, "name": "source_recurly" }, { "id": 3458, "name": "tubemq" }, { "id": 3459, "name": "ibm_db_dbi" }, { "id": 3460, "name": "bigquery_schema_generator" }, { "id": 3461, "name": "search_service" }, { "id": 3462, "name": "source_insightly" }, { "id": 3463, "name": "tsp_train" }, { "id": 3464, "name": "smartsheet" }, { "id": 3465, "name": "nlpaug" }, { "id": 3466, "name": "tubemq_return" }, { "id": 3467, "name": "source_square" }, { "id": 3468, "name": "destination_google_sheets" }, { "id": 3469, "name": "gscoordinator" }, { "id": 3470, "name": "gremlin_python" }, { "id": 3471, "name": "source_freshcaller" }, { "id": 3472, "name": "wcmatch" }, { "id": 3473, "name": "source_jira" }, { "id": 3474, "name": "ffmpegcv" }, { "id": 3475, "name": "airbyte_api_client" }, { "id": 3476, "name": "tableau_api_lib" }, { "id": 3477, "name": "neo4j" }, { "id": 3478, "name": "bmt_clipit" }, { "id": 3479, "name": "databuilder" }, { "id": 3480, "name": "source_datadog" }, { "id": 3481, "name": "source_strava" }, { "id": 3482, "name": "simple_salesforce" }, { "id": 3483, "name": "source_onesignal" }, { "id": 3484, "name": "dj_rest_auth" }, { "id": 3485, "name": "blocklm_utils" }, { "id": 3486, "name": "source_tiktok_marketing" }, { "id": 3487, "name": "source_linnworks" }, { "id": 3488, "name": "clickhouse_grpc_pb2" }, { "id": 3489, "name": "source_instagram" }, { "id": 3490, "name": "auto_labeling" }, { "id": 3491, "name": "gbqschema_converter" }, { "id": 3492, "name": "source_facebook_marketing" }, { "id": 3493, "name": "httpclient" }, { "id": 3494, "name": "mmengine" }, { "id": 3495, "name": "source_orb" }, { "id": 3496, "name": "undecorated" }, { "id": 3497, "name": "xmlrunner" }, { "id": 3498, "name": "source_mailchimp" }, { "id": 3499, "name": "source_google_analytics_data_api" }, { "id": 3500, "name": "chargebee" }, { "id": 3501, "name": "source_coda" }, { "id": 3502, "name": "source_zendesk_support" }, { "id": 3503, "name": "unicodedata2" }, { "id": 3504, "name": "looseversion" }, { "id": 3505, "name": "source_zendesk_sell" }, { "id": 3506, "name": "runenv" }, { "id": 3507, "name": "easynlp" }, { "id": 3508, "name": "nanoid" }, { "id": 3509, "name": "icdiff" }, { "id": 3510, "name": "alibabacloud_ecs20140526" }, { "id": 3511, "name": "source_qonto" }, { "id": 3512, "name": "source_fauna" }, { "id": 3513, "name": "deepke" }, { "id": 3514, "name": "gast" }, { "id": 3515, "name": "source_dv_360" }, { "id": 3516, "name": "couler" }, { "id": 3517, "name": "ai_lib" }, { "id": 3518, "name": "pyhdfs" }, { "id": 3519, "name": "pydolphinscheduler" }, { "id": 3520, "name": "source_commcare" }, { "id": 3521, "name": "destination_rabbitmq" }, { "id": 3522, "name": "vineyard" }, { "id": 3523, "name": "meilisearch" }, { "id": 3524, "name": "source_shopify" }, { "id": 3525, "name": "source_persistiq" }, { "id": 3526, "name": "source_fastbill" }, { "id": 3527, "name": "dataclasses_jsonschema" }, { "id": 3528, "name": "source_rki_covid" }, { "id": 3529, "name": "opt_einsum" }, { "id": 3530, "name": "flask_swagger_ui" }, { "id": 3531, "name": "source_my_hours" }, { "id": 3532, "name": "pygsheets" }, { "id": 3533, "name": "source_wrike" }, { "id": 3534, "name": "sqlflow_models" }, { "id": 3535, "name": "plotille" }, { "id": 3536, "name": "lakesoul" }, { "id": 3537, "name": "text2sql_lgesql" }, { "id": 3538, "name": "paiio" }, { "id": 3539, "name": "source_surveycto" }, { "id": 3540, "name": "MinDAEC" }, { "id": 3541, "name": "zhconv" }, { "id": 3542, "name": "openmetadata_managed_apis" }, { "id": 3543, "name": "braintree" }, { "id": 3544, "name": "source_openweather" }, { "id": 3545, "name": "requests_aws4auth" }, { "id": 3546, "name": "source_netsuite" }, { "id": 3547, "name": "pprintpp" }, { "id": 3548, "name": "typesense" }, { "id": 3549, "name": "mmcls" }, { "id": 3550, "name": "sqlalchemy_vertica" }, { "id": 3551, "name": "source_paypal_transaction" }, { "id": 3552, "name": "source_klarna" }, { "id": 3553, "name": "source_instatus" }, { "id": 3554, "name": "source_dixa" }, { "id": 3555, "name": "source_okta" }, { "id": 3556, "name": "sqlalchemy_bigquery" }, { "id": 3557, "name": "asana" }, { "id": 3558, "name": "source_drift" }, { "id": 3559, "name": "xlrd2" }, { "id": 3560, "name": "elftools" }, { "id": 3561, "name": "metadata_service" }, { "id": 3562, "name": "ssl_override_server_hostname" }, { "id": 3563, "name": "faunadb" }, { "id": 3564, "name": "redash_toolbelt" }, { "id": 3565, "name": "incremental" }, { "id": 3566, "name": "rbac" }, { "id": 3567, "name": "feathrcli" }, { "id": 3568, "name": "for_requests" }, { "id": 3569, "name": "soda" }, { "id": 3570, "name": "source_asana" }, { "id": 3571, "name": "spectate" }, { "id": 3572, "name": "amundsen_common" }, { "id": 3573, "name": "jsonpath_rw" }, { "id": 3574, "name": "kubeflow" }, { "id": 3575, "name": "mimesis" }, { "id": 3576, "name": "prance" }, { "id": 3577, "name": "types_pb2" }, { "id": 3578, "name": "function_service_pb2_grpc" }, { "id": 3579, "name": "source_tplcentral" }, { "id": 3580, "name": "source_trello" }, { "id": 3581, "name": "artifactory" }, { "id": 3582, "name": "source_paystack" }, { "id": 3583, "name": "source_stripe" }, { "id": 3584, "name": "imagecorruptions" }, { "id": 3585, "name": "source_younium" }, { "id": 3586, "name": "torch_scatter" }, { "id": 3587, "name": "teslafaas" }, { "id": 3588, "name": "source_retently" }, { "id": 3589, "name": "source_google_ads" }, { "id": 3590, "name": "destination_weaviate" }, { "id": 3591, "name": "source_intercom" }, { "id": 3592, "name": "source_braze" }, { "id": 3593, "name": "source_surveymonkey" }, { "id": 3594, "name": "users" }, { "id": 3595, "name": "typing_compat" }, { "id": 3596, "name": "clickhouse_sqlalchemy" }, { "id": 3597, "name": "ibm_db_sa" }, { "id": 3598, "name": "trino" }, { "id": 3599, "name": "source_exchange_rates" }, { "id": 3600, "name": "source_freshservice" }, { "id": 3601, "name": "furl" }, { "id": 3602, "name": "source_visma_economic" }, { "id": 3603, "name": "source_clockify" }, { "id": 3604, "name": "source_microsoft_dataverse" }, { "id": 3605, "name": "source_sentry" }, { "id": 3606, "name": "sqlalchemy_databricks" }, { "id": 3607, "name": "source_twilio" }, { "id": 3608, "name": "agate" }, { "id": 3609, "name": "source_azure_table" }, { "id": 3610, "name": "amundsen_rds" }, { "id": 3611, "name": "source_smartsheets" }, { "id": 3612, "name": "destination_firebolt" }, { "id": 3613, "name": "amundsen_gremlin" }, { "id": 3614, "name": "source_nasa" }, { "id": 3615, "name": "gql" }, { "id": 3616, "name": "destination_typesense" }, { "id": 3617, "name": "en_core_web_sm" }, { "id": 3618, "name": "jsonschema2md" }, { "id": 3619, "name": "ci_common_utils" }, { "id": 3620, "name": "source_amplitude" }, { "id": 3621, "name": "py_sound_connect" }, { "id": 3622, "name": "airflow_provider_openmetadata" }, { "id": 3623, "name": "java" }, { "id": 3624, "name": "autoscaling" }, { "id": 3625, "name": "server_entry" }, { "id": 3626, "name": "source_xkcd" }, { "id": 3627, "name": "services" }, { "id": 3628, "name": "source_glassfrog" }, { "id": 3629, "name": "tubemq_message" }, { "id": 3630, "name": "source_amazon_seller_partner" }, { "id": 3631, "name": "mpu" }, { "id": 3632, "name": "source_xero" }, { "id": 3633, "name": "source_faker" }, { "id": 3634, "name": "django_filters" }, { "id": 3635, "name": "pyomo" }, { "id": 3636, "name": "data_import" }, { "id": 3637, "name": "source_freshdesk" }, { "id": 3638, "name": "source_appsflyer" }, { "id": 3639, "name": "source_google_sheets" }, { "id": 3640, "name": "destination_sftp_json" }, { "id": 3641, "name": "labels" }, { "id": 3642, "name": "easyasr" }, { "id": 3643, "name": "source_weatherstack" }, { "id": 3723, "name": "requests_file" }, { "id": 4399, "name": "datahub_classify" }, { "id": 4400, "name": "pydeequ" }, { "id": 4401, "name": "click_spinner" }, { "id": 4402, "name": "tableauserverclient" }, { "id": 4403, "name": "sqlalchemy_pytds" }, { "id": 4404, "name": "sqlmypy" }, { "id": 4405, "name": "sql_metadata" }, { "id": 4406, "name": "mypy_boto3_glue" }, { "id": 4407, "name": "datahub_actions" }, { "id": 4408, "name": "lkml" }, { "id": 4409, "name": "docgen" }, { "id": 4410, "name": "click_default_group" }, { "id": 4411, "name": "tableschema" }, { "id": 4412, "name": "geoalchemy2" }, { "id": 4413, "name": "datahub" }, { "id": 4414, "name": "datahub_provider" }, { "id": 4415, "name": "databricks_dbapi" }, { "id": 4416, "name": "expandvars" }, { "id": 4417, "name": "requests_wrapper" }, { "id": 4418, "name": "avrogen" }, { "id": 4419, "name": "mixpanel" }, { "id": 4420, "name": "mypy_boto3_sts" }, { "id": 4421, "name": "requests_ntlm" }, { "id": 4422, "name": "humanfriendly" }, { "id": 4423, "name": "mypy_boto3_sagemaker" }, { "id": 4424, "name": "airflow_local_settings" }, { "id": 4425, "name": "jsoncomparison" }, { "id": 4426, "name": "pytest_docker" }, { "id": 4427, "name": "iceberg" } ], "last_checked_revision": "63cd0bc8ea3107b87c4862be8093b00a29a423f6\n" }, { "id": 191, "url": "https://github.com/feathr-ai/feathr", "description": "Feathr \u2013 A scalable, unified data and AI engineering platform for enterprise", "stars": 1881, "source_graph_repo_id": 57511369, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 60, "name": "psycopg2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 98, "name": "pytz" }, { "id": 127, "name": "tqdm" }, { "id": 217, "name": "confluent_kafka" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 788, "name": "papermill" }, { "id": 812, "name": "faker" }, { "id": 819, "name": "pyspark" }, { "id": 946, "name": "pytest_mock" }, { "id": 1061, "name": "jwt" }, { "id": 1179, "name": "pymssql" }, { "id": 1205, "name": "rsa" }, { "id": 1478, "name": "avro" }, { "id": 1526, "name": "py4j" }, { "id": 1987, "name": "databricks_cli" }, { "id": 2325, "name": "faker_commerce" }, { "id": 3238, "name": "scrapbook" }, { "id": 3265, "name": "pyapacheatlas" }, { "id": 3305, "name": "pyhocon" }, { "id": 3390, "name": "_scproxy" }, { "id": 3391, "name": "deltalake" }, { "id": 3425, "name": "pandavro" }, { "id": 3444, "name": "feathr" }, { "id": 3566, "name": "rbac" }, { "id": 3567, "name": "feathrcli" }, { "id": 3708, "name": "revChatGPT" } ], "last_checked_revision": "6847ef98dcdc2c3b2bf361e03ecfec1bb3b52055\n" }, { "id": 192, "url": "https://github.com/schemathesis/schemathesis", "description": "Automate your API Testing: catch crashes, validate specs, and save time", "stars": 1952, "source_graph_repo_id": 39202096, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 76, "name": "click" }, { "id": 115, "name": "packaging" }, { "id": 184, "name": "utils" }, { "id": 196, "name": "asyncpg" }, { "id": 292, "name": "flask" }, { "id": 355, "name": "importlib_metadata" }, { "id": 430, "name": "urllib3" }, { "id": 500, "name": "graphql" }, { "id": 541, "name": "strawberry" }, { "id": 595, "name": "backoff" }, { "id": 644, "name": "connexion" }, { "id": 886, "name": "werkzeug" }, { "id": 901, "name": "hypothesis" }, { "id": 929, "name": "yarl" }, { "id": 932, "name": "tomli" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1446, "name": "tomli_w" }, { "id": 1952, "name": "trustme" }, { "id": 2370, "name": "hypothesis_jsonschema" }, { "id": 2371, "name": "pytest_subtests" }, { "id": 2372, "name": "hypothesis_graphql" }, { "id": 2373, "name": "curlify" }, { "id": 2374, "name": "pytest_httpserver" }, { "id": 2375, "name": "starlette_testclient" }, { "id": 2376, "name": "exceptiongroup" }, { "id": 2377, "name": "schemathesis" }, { "id": 2378, "name": "junit_xml" }, { "id": 2379, "name": "pyrate_limiter" }, { "id": 3189, "name": "syrupy" } ], "last_checked_revision": "c7e32371601b00ee4e5ce2d64b0ef05001d36659\n" }, { "id": 193, "url": "https://github.com/Jittor/JittorLLMs", "description": "\u8ba1\u56fe\u5927\u6a21\u578b\u63a8\u7406\u5e93\uff0c\u5177\u6709\u9ad8\u6027\u80fd\u3001\u914d\u7f6e\u8981\u6c42\u4f4e\u3001\u4e2d\u6587\u652f\u6301\u597d\u3001\u53ef\u79fb\u690d\u7b49\u7279\u70b9", "stars": 2026, "source_graph_repo_id": 60729623, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 87, "name": "tokenizers" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 144, "name": "megatron" }, { "id": 145, "name": "fire" }, { "id": 149, "name": "jieba" }, { "id": 155, "name": "six" }, { "id": 180, "name": "apex" }, { "id": 223, "name": "botocore" }, { "id": 461, "name": "ftfy" }, { "id": 479, "name": "regex" }, { "id": 519, "name": "sentencepiece" }, { "id": 550, "name": "rwkv" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 560, "name": "llama" }, { "id": 615, "name": "faiss" }, { "id": 627, "name": "langdetect" }, { "id": 758, "name": "tokenizer" }, { "id": 1628, "name": "cpm_kernels" }, { "id": 2100, "name": "data_utils" }, { "id": 2120, "name": "tasks" }, { "id": 2486, "name": "amp_C" }, { "id": 2668, "name": "tldextract" }, { "id": 2830, "name": "icetk" }, { "id": 3631, "name": "mpu" }, { "id": 3695, "name": "scaled_upper_triang_masked_softmax_cuda" }, { "id": 4185, "name": "jittor_utils" }, { "id": 4186, "name": "userlib" }, { "id": 4187, "name": "jittor" }, { "id": 4188, "name": "autopep8" }, { "id": 4189, "name": "lsh" }, { "id": 4190, "name": "pretrain_gpt2" }, { "id": 4191, "name": "pretrain_bert" } ], "last_checked_revision": "3058e7a2b23b09dd401dbca262c034c6a61c34cd\n" }, { "id": 194, "url": "https://github.com/permitio/opal", "description": "Policy and data administration, distribution, and real-time updates on top of Policy Agents (OPA, Cedar, ...)", "stars": 1957, "source_graph_repo_id": 43391455, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 35, "name": "slowapi" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 76, "name": "click" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 215, "name": "cryptography" }, { "id": 252, "name": "fastapi_utils" }, { "id": 574, "name": "websockets" }, { "id": 957, "name": "aioredis" }, { "id": 1059, "name": "decouple" }, { "id": 1061, "name": "jwt" }, { "id": 1083, "name": "aiofiles" }, { "id": 1140, "name": "gunicorn" }, { "id": 1555, "name": "flaky" }, { "id": 1915, "name": "jsonpatch" }, { "id": 2225, "name": "ddtrace" }, { "id": 3032, "name": "fastapi_websocket_rpc" }, { "id": 3061, "name": "opal_common" }, { "id": 3062, "name": "pygit2" }, { "id": 3063, "name": "opal_server" }, { "id": 3064, "name": "rook" }, { "id": 3065, "name": "dpath" }, { "id": 3066, "name": "opal_client" }, { "id": 3067, "name": "fastapi_websocket_pubsub" } ], "last_checked_revision": "49baf579cc7b2d094c2c0529422125ca6e518777\n" }, { "id": 195, "url": "https://github.com/civitai/sd_civitai_extension", "description": "All of the Civitai models inside Automatic 1111 Stable Diffusion Web UI", "stars": 2106, "source_graph_repo_id": 59814163, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 118, "name": "gradio" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 408, "name": "socketio" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" } ], "last_checked_revision": "2008ba9126ddbb448f23267029b07e4610dffc15\n" }, { "id": 196, "url": "https://github.com/Buuntu/fastapi-react", "description": "\ud83d\ude80 Cookiecutter Template for FastAPI + React Projects. Using PostgreSQL, SQLAlchemy, and Docker", "stars": 1935, "source_graph_repo_id": 41086672, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 61, "name": "alembic" }, { "id": 62, "name": "app" }, { "id": 66, "name": "celery" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1061, "name": "jwt" } ], "last_checked_revision": "af17f2d422d0ebc5f173e83f2c6931045ab055b0\n" }, { "id": 197, "url": "https://github.com/ztxz16/fastllm", "description": "\u7eafc++\u7684\u5168\u5e73\u53f0llm\u52a0\u901f\u5e93\uff0c\u652f\u6301python\u8c03\u7528\uff0cchatglm-6B\u7ea7\u6a21\u578b\u5355\u5361\u53ef\u8fbe10000+token / s\uff0c\u652f\u6301glm, llama, moss\u57fa\u5ea7\uff0c\u624b\u673a\u7aef\u6d41\u7545\u8fd0\u884c", "stars": 2721, "source_graph_repo_id": 60987278, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 39, "name": "streamlit" }, { "id": 178, "name": "peft" }, { "id": 536, "name": "streamlit_chat" }, { "id": 910, "name": "ninja" }, { "id": 1666, "name": "pybind11" }, { "id": 4232, "name": "fastllm_pytools" }, { "id": 4233, "name": "CMMLU" }, { "id": 4234, "name": "fastllm" } ], "last_checked_revision": "2aa2bddd583abb2c7d18944e9af560bc36f353c6\n" }, { "id": 198, "url": "https://github.com/Lightning-Universe/lightning-flash", "description": "Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains", "stars": 1711, "source_graph_repo_id": 42931540, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 97, "name": "omegaconf" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 174, "name": "albumentations" }, { "id": 246, "name": "sentence_transformers" }, { "id": 419, "name": "torchmetrics" }, { "id": 425, "name": "fsspec" }, { "id": 430, "name": "urllib3" }, { "id": 435, "name": "hummingbird" }, { "id": 439, "name": "torchaudio" }, { "id": 472, "name": "kornia" }, { "id": 509, "name": "docutils" }, { "id": 585, "name": "pt_lightning_sphinx_theme" }, { "id": 589, "name": "jsonargparse" }, { "id": 591, "name": "learn2learn" }, { "id": 596, "name": "lightning_utilities" }, { "id": 601, "name": "flash" }, { "id": 754, "name": "librosa" }, { "id": 946, "name": "pytest_mock" }, { "id": 1835, "name": "soundfile" }, { "id": 1892, "name": "graphviz" }, { "id": 1963, "name": "torch_geometric" }, { "id": 2401, "name": "open3d" }, { "id": 3003, "name": "icedata" }, { "id": 3004, "name": "pytorch_forecasting" }, { "id": 3005, "name": "baal" }, { "id": 3006, "name": "classy_vision" }, { "id": 3007, "name": "cytoolz" }, { "id": 3008, "name": "assistant" }, { "id": 3009, "name": "pytorch_tabular" }, { "id": 3010, "name": "torch_ort" }, { "id": 3011, "name": "fastface" }, { "id": 3012, "name": "fiftyone" }, { "id": 3013, "name": "icevision" }, { "id": 3014, "name": "pystiche" }, { "id": 3015, "name": "vissl" }, { "id": 3016, "name": "torch_optimizer" }, { "id": 3017, "name": "segmentation_models_pytorch" }, { "id": 3018, "name": "pytorchvideo" } ], "last_checked_revision": "a374dd4f6d37f42d4a6a6f08f2e1caec15e12b36\n" }, { "id": 199, "url": "https://github.com/fern-api/fern", "description": "SDKs and Docs for your API", "stars": 2025, "source_graph_repo_id": 57881960, "dependencies": [], "last_checked_revision": null }, { "id": 200, "url": "https://github.com/jxxghp/MoviePilot", "description": "NAS\u5a92\u4f53\u5e93\u81ea\u52a8\u5316\u7ba1\u7406\u5de5\u5177", "stars": 3150, "source_graph_repo_id": 61127039, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 61, "name": "alembic" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 210, "name": "slack_sdk" }, { "id": 215, "name": "cryptography" }, { "id": 218, "name": "lxml" }, { "id": 251, "name": "playwright" }, { "id": 409, "name": "watchdog" }, { "id": 430, "name": "urllib3" }, { "id": 479, "name": "regex" }, { "id": 495, "name": "Cython" }, { "id": 635, "name": "requests_cache" }, { "id": 643, "name": "Crypto" }, { "id": 682, "name": "cn2an" }, { "id": 778, "name": "docker" }, { "id": 948, "name": "apscheduler" }, { "id": 974, "name": "cachetools" }, { "id": 1028, "name": "ruamel" }, { "id": 1045, "name": "chardet" }, { "id": 1061, "name": "jwt" }, { "id": 1343, "name": "pyparsing" }, { "id": 1430, "name": "parse" }, { "id": 1569, "name": "dateparser" }, { "id": 2548, "name": "slack_bolt" }, { "id": 2599, "name": "pyvirtualdisplay" }, { "id": 2872, "name": "pyquery" }, { "id": 3541, "name": "zhconv" }, { "id": 3779, "name": "qbittorrentapi" }, { "id": 3965, "name": "telebot" }, { "id": 4243, "name": "cacheout" }, { "id": 4244, "name": "cf_clearance" }, { "id": 4245, "name": "transmission_rpc" }, { "id": 4246, "name": "anitopy" }, { "id": 4247, "name": "tvdb_api" }, { "id": 4248, "name": "tailer" }, { "id": 4249, "name": "torrentool" }, { "id": 4250, "name": "python_hosts" }, { "id": 4553, "name": "bencode" }, { "id": 4774, "name": "pystray" } ], "last_checked_revision": "322c72ab54bdd6c21778270db6b8f6633a02003b\n" }, { "id": 201, "url": "https://github.com/kingyiusuen/image-to-latex", "description": "Convert images of LaTex math equations into LaTex code.", "stars": 1857, "source_graph_repo_id": 55017053, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 97, "name": "omegaconf" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 127, "name": "tqdm" }, { "id": 174, "name": "albumentations" }, { "id": 182, "name": "wandb" }, { "id": 419, "name": "torchmetrics" }, { "id": 449, "name": "hydra" }, { "id": 723, "name": "editdistance" } ], "last_checked_revision": "a706c4adab12d52b89ee2ebbc2d29e8ba1ca154c\n" }, { "id": 202, "url": "https://github.com/LlmKira/Openaibot", "description": "Refractoring \ud83d\udea7|ChatBot+LLM |Gpt-3.5-turbo |ChatGPT Bot/Voice Assistant | \ud83d\udcf1 Cross-Platform | \ud83e\uddbe Async | \ud83d\udde3 Good Contextual Support | \ud83c\udf3b sh & docker| \ud83d\udd0c API Server| \ud83c\udfa4 Azure/Vits |\ud83c\udf0e ?| \ud83d\udcf7 Multi-modal/Image | \ud83d\udc90 Self-maintained LLM Framework", "stars": 1723, "source_graph_repo_id": 59754103, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 74, "name": "sentry_sdk" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 98, "name": "pytz" }, { "id": 123, "name": "piexif" }, { "id": 138, "name": "nltk" }, { "id": 210, "name": "slack_sdk" }, { "id": 212, "name": "duckduckgo_search" }, { "id": 238, "name": "hikari" }, { "id": 243, "name": "html2text" }, { "id": 251, "name": "playwright" }, { "id": 292, "name": "flask" }, { "id": 355, "name": "importlib_metadata" }, { "id": 399, "name": "orjson" }, { "id": 516, "name": "shortuuid" }, { "id": 538, "name": "pydantic_settings" }, { "id": 597, "name": "docstring_parser" }, { "id": 648, "name": "pyaudio" }, { "id": 798, "name": "fasttext" }, { "id": 947, "name": "tzlocal" }, { "id": 948, "name": "apscheduler" }, { "id": 1007, "name": "motor" }, { "id": 1072, "name": "unstructured" }, { "id": 1076, "name": "playsound" }, { "id": 1382, "name": "ffmpeg" }, { "id": 1436, "name": "emoji" }, { "id": 1459, "name": "wrapt" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1558, "name": "pika" }, { "id": 1579, "name": "aiormq" }, { "id": 1580, "name": "aio_pika" }, { "id": 1640, "name": "github" }, { "id": 1748, "name": "speech_recognition" }, { "id": 1812, "name": "keyboard" }, { "id": 2335, "name": "feedparser" }, { "id": 2540, "name": "sumy" }, { "id": 2548, "name": "slack_bolt" }, { "id": 3128, "name": "graia" }, { "id": 3135, "name": "graiax" }, { "id": 3184, "name": "rtoml" }, { "id": 3958, "name": "text_analysis_tools" }, { "id": 3959, "name": "aspect_based_sentiment_analysis" }, { "id": 3960, "name": "duckpy" }, { "id": 3961, "name": "llm_kira" }, { "id": 3962, "name": "tweetnlp" }, { "id": 3963, "name": "blip" }, { "id": 3964, "name": "pycorrector" }, { "id": 3965, "name": "telebot" }, { "id": 3966, "name": "pvporcupine" }, { "id": 3979, "name": "bilibili_api" }, { "id": 4193, "name": "pamqp" }, { "id": 4254, "name": "dynaconf" }, { "id": 4603, "name": "cjieba" }, { "id": 4604, "name": "inscriptis" }, { "id": 4605, "name": "arclet" }, { "id": 4884, "name": "elara" }, { "id": 4885, "name": "crescent" }, { "id": 4886, "name": "nextcord" }, { "id": 4887, "name": "khl" }, { "id": 5193, "name": "github_bot_api" } ], "last_checked_revision": "c2428eac54b8e4b199e51842243ff2ea230bed0c\n" }, { "id": 203, "url": "https://github.com/TigerResearch/TigerBot", "description": "TigerBot: A multi-language multi-task LLM", "stars": 2064, "source_graph_repo_id": 61120662, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 50, "name": "tiktoken" }, { "id": 86, "name": "sse_starlette" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 138, "name": "nltk" }, { "id": 145, "name": "fire" }, { "id": 149, "name": "jieba" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 156, "name": "tabulate" }, { "id": 157, "name": "triton" }, { "id": 165, "name": "evaluate" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 206, "name": "langchain" }, { "id": 208, "name": "mdtex2html" }, { "id": 226, "name": "googleapiclient" }, { "id": 246, "name": "sentence_transformers" }, { "id": 264, "name": "sseclient" }, { "id": 351, "name": "sphinx" }, { "id": 513, "name": "auto_gptq" }, { "id": 560, "name": "llama" }, { "id": 609, "name": "rank_bm25" }, { "id": 615, "name": "faiss" }, { "id": 936, "name": "toml" }, { "id": 1174, "name": "evaluation" }, { "id": 1452, "name": "ipdb" }, { "id": 1628, "name": "cpm_kernels" }, { "id": 2436, "name": "generate" }, { "id": 3494, "name": "mmengine" }, { "id": 4257, "name": "texttable" }, { "id": 4258, "name": "aiohttp_sse_client" }, { "id": 4383, "name": "pytorch_sphinx_theme" }, { "id": 4384, "name": "SwissArmyTransformer" }, { "id": 4385, "name": "generation" }, { "id": 4386, "name": "human_eval" }, { "id": 4387, "name": "initialize" }, { "id": 4435, "name": "exllama_lib" }, { "id": 4635, "name": "exllamav2" }, { "id": 4888, "name": "TigerBot" } ], "last_checked_revision": "f65362a7c4df028b4425957715dbfa98d922ef12\n" }, { "id": 204, "url": "https://github.com/vocodedev/vocode-python", "description": "\ud83e\udd16 Build voice-based LLM agents. Modular + open source.", "stars": 1920, "source_graph_repo_id": 60587786, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 56, "name": "redis" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 479, "name": "regex" }, { "id": 531, "name": "opentelemetry" }, { "id": 556, "name": "anthropic" }, { "id": 574, "name": "websockets" }, { "id": 698, "name": "pydub" }, { "id": 1740, "name": "twilio" }, { "id": 1748, "name": "speech_recognition" }, { "id": 1750, "name": "gtts" }, { "id": 2042, "name": "telegram" }, { "id": 3054, "name": "pyngrok" }, { "id": 3662, "name": "sounddevice" }, { "id": 3759, "name": "aioresponses" }, { "id": 4159, "name": "elevenlabs" }, { "id": 4160, "name": "call_transcript_utils" }, { "id": 4161, "name": "TTS" }, { "id": 4162, "name": "vonage" }, { "id": 4163, "name": "pygpt4all" }, { "id": 4164, "name": "miniaudio" }, { "id": 4165, "name": "janus" }, { "id": 4166, "name": "bark" }, { "id": 4167, "name": "nylas" } ], "last_checked_revision": "6adf9013b48105a4acf4bd68d73ae5e9f8a3f1e0\n" }, { "id": 205, "url": "https://github.com/ExpDev07/coronavirus-tracker-api", "description": "\ud83e\udda0 A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the \ud83d\udd25 FastAPI framework. Supports multiple sources!", "stars": 1600, "source_graph_repo_id": 40088997, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 74, "name": "sentry_sdk" }, { "id": 631, "name": "responses" }, { "id": 937, "name": "invoke" }, { "id": 974, "name": "cachetools" }, { "id": 986, "name": "asyncache" }, { "id": 1019, "name": "async_generator" }, { "id": 1083, "name": "aiofiles" }, { "id": 1411, "name": "async_asgi_testclient" }, { "id": 1957, "name": "asyncmock" }, { "id": 2588, "name": "aiocache" }, { "id": 2589, "name": "scout_apm" } ], "last_checked_revision": "67d9d22f1c56f77d0d91545d74ee1d796548943c\n" }, { "id": 206, "url": "https://github.com/cider-security-research/cicd-goat", "description": "A deliberately vulnerable CI/CD environment. Learn CI/CD security through multiple challenges.", "stars": 1712, "source_graph_repo_id": 57737036, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 61, "name": "alembic" }, { "id": 62, "name": "app" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 74, "name": "sentry_sdk" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 106, "name": "anyio" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 147, "name": "sanic" }, { "id": 161, "name": "matplotlib" }, { "id": 186, "name": "seaborn" }, { "id": 196, "name": "asyncpg" }, { "id": 215, "name": "cryptography" }, { "id": 292, "name": "flask" }, { "id": 322, "name": "py" }, { "id": 399, "name": "orjson" }, { "id": 410, "name": "selenium" }, { "id": 428, "name": "marshmallow" }, { "id": 430, "name": "urllib3" }, { "id": 445, "name": "pygments" }, { "id": 496, "name": "httptools" }, { "id": 498, "name": "coverage" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 541, "name": "strawberry" }, { "id": 542, "name": "multipart" }, { "id": 543, "name": "peewee" }, { "id": 544, "name": "email_validator" }, { "id": 545, "name": "couchbase" }, { "id": 546, "name": "mkdocs" }, { "id": 547, "name": "databases" }, { "id": 548, "name": "markupsafe" }, { "id": 574, "name": "websockets" }, { "id": 676, "name": "dataset" }, { "id": 772, "name": "config" }, { "id": 794, "name": "moto" }, { "id": 812, "name": "faker" }, { "id": 879, "name": "flask_socketio" }, { "id": 886, "name": "werkzeug" }, { "id": 909, "name": "tornado" }, { "id": 923, "name": "bottle" }, { "id": 926, "name": "falcon" }, { "id": 930, "name": "multidict" }, { "id": 953, "name": "freezegun" }, { "id": 1004, "name": "colorama" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1061, "name": "jwt" }, { "id": 1083, "name": "aiofiles" }, { "id": 1140, "name": "gunicorn" }, { "id": 1194, "name": "idna" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1343, "name": "pyparsing" }, { "id": 1355, "name": "brotli" }, { "id": 1376, "name": "pytest_cov" }, { "id": 1441, "name": "itsdangerous" }, { "id": 1463, "name": "gevent" }, { "id": 1466, "name": "nox" }, { "id": 1474, "name": "wtforms" }, { "id": 1497, "name": "example" }, { "id": 1535, "name": "flask_login" }, { "id": 1537, "name": "aiocontextvars" }, { "id": 1685, "name": "sanic_testing" }, { "id": 1697, "name": "flask_caching" }, { "id": 1790, "name": "maxminddb" }, { "id": 1852, "name": "flask_script" }, { "id": 1874, "name": "flask_migrate" }, { "id": 1919, "name": "virtualenv" }, { "id": 1952, "name": "trustme" }, { "id": 2211, "name": "httpcore" }, { "id": 2271, "name": "flask_wtf" }, { "id": 2292, "name": "flask_restx" }, { "id": 2318, "name": "marshmallow_sqlalchemy" }, { "id": 2322, "name": "flask_marshmallow" }, { "id": 2555, "name": "sh" }, { "id": 2732, "name": "PyInstaller" }, { "id": 2935, "name": "trio" }, { "id": 3221, "name": "contextlib2" }, { "id": 3770, "name": "keyring" }, { "id": 3790, "name": "yagmail" }, { "id": 3791, "name": "logdna" }, { "id": 3792, "name": "flask_profiler" }, { "id": 3793, "name": "pygryphon" }, { "id": 3794, "name": "brotlicffi" }, { "id": 3795, "name": "dummyserver" }, { "id": 3796, "name": "flask_meld" }, { "id": 3797, "name": "geoacumen_city" }, { "id": 3798, "name": "aiotask_context" }, { "id": 3799, "name": "raygun4py" }, { "id": 3800, "name": "somelib" }, { "id": 3801, "name": "fields" }, { "id": 3802, "name": "cmarkgfm" }, { "id": 3803, "name": "sanic_routing" }, { "id": 3804, "name": "jinja2_simple_tags" }, { "id": 3805, "name": "CTFd" }, { "id": 3806, "name": "giteacasc" }, { "id": 3807, "name": "eel" }, { "id": 3808, "name": "towncrier" }, { "id": 3809, "name": "process_tests" }, { "id": 3810, "name": "sphinx_py3doc_enhanced_theme" }, { "id": 3811, "name": "xdist" }, { "id": 3812, "name": "kyoukai" }, { "id": 3813, "name": "rollbar" }, { "id": 3814, "name": "missingno" }, { "id": 3815, "name": "pyaztro" }, { "id": 3816, "name": "jenkinsapi" }, { "id": 3817, "name": "wheezy" }, { "id": 3818, "name": "premailer" }, { "id": 3819, "name": "win32_setctime" }, { "id": 3820, "name": "meld_test_project" }, { "id": 3821, "name": "docs_src" }, { "id": 3822, "name": "whichcraft" }, { "id": 3823, "name": "pybluemonday" }, { "id": 3824, "name": "flask_debugtoolbar" } ], "last_checked_revision": "d2c7a24dd71a188839a04170e30e60866032918c\n" }, { "id": 207, "url": "https://github.com/neuralmagic/deepsparse", "description": "Sparsity-aware deep learning inference runtime for CPUs", "stars": 2689, "source_graph_repo_id": 43021068, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 46, "name": "azure" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 136, "name": "open_clip" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 224, "name": "google" }, { "id": 246, "name": "sentence_transformers" }, { "id": 452, "name": "onnxruntime" }, { "id": 468, "name": "onnx" }, { "id": 497, "name": "prometheus_client" }, { "id": 895, "name": "lm_eval" }, { "id": 1380, "name": "fastchat" }, { "id": 1555, "name": "flaky" }, { "id": 1570, "name": "digitalocean" }, { "id": 2781, "name": "ultralytics" }, { "id": 2796, "name": "optimum" }, { "id": 3083, "name": "deepsparse" }, { "id": 3084, "name": "openpifpaf" }, { "id": 3085, "name": "haystack" }, { "id": 3086, "name": "numa" }, { "id": 3087, "name": "sparsezoo" }, { "id": 3088, "name": "twint" }, { "id": 3089, "name": "ndjson" } ], "last_checked_revision": "dd0f5747dc0a10285aa3593f16a8cbc16832ba88\n" }, { "id": 208, "url": "https://github.com/labmlai/labml", "description": "\ud83d\udd0e Monitor deep learning model training and hardware usage from your mobile phone \ud83d\udcf1", "stars": 1730, "source_graph_repo_id": 40116032, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 84, "name": "torchvision" }, { "id": 92, "name": "pymongo" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 161, "name": "matplotlib" }, { "id": 186, "name": "seaborn" }, { "id": 210, "name": "slack_sdk" }, { "id": 223, "name": "botocore" }, { "id": 260, "name": "IPython" }, { "id": 341, "name": "paramiko" }, { "id": 400, "name": "altair" }, { "id": 418, "name": "joblib" }, { "id": 430, "name": "urllib3" }, { "id": 431, "name": "comet_ml" }, { "id": 495, "name": "Cython" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 607, "name": "tensorboard" }, { "id": 808, "name": "ipywidgets" }, { "id": 822, "name": "py3nvml" }, { "id": 1092, "name": "jaxlib" }, { "id": 1100, "name": "fastai" }, { "id": 1264, "name": "argon2" }, { "id": 2707, "name": "pytorch" }, { "id": 2708, "name": "libgravatar" }, { "id": 2709, "name": "stocks" }, { "id": 2710, "name": "labml_db" }, { "id": 2711, "name": "scp" }, { "id": 2712, "name": "labml" }, { "id": 2713, "name": "labml_remote" }, { "id": 2714, "name": "labml_dashboard" }, { "id": 2715, "name": "labml_helpers" }, { "id": 2716, "name": "labml_app" }, { "id": 2717, "name": "labml_fast_merge" } ], "last_checked_revision": "1784d877bfb7114e0b4df26eac874bbc5cede550\n" }, { "id": 209, "url": "https://github.com/getsentry/sentry-python", "description": "The official Python SDK for Sentry.io", "stars": 1670, "source_graph_repo_id": 36339871, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 30, "name": "certifi" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 60, "name": "psycopg2" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 92, "name": "pymongo" }, { "id": 135, "name": "pkg_resources" }, { "id": 147, "name": "sanic" }, { "id": 196, "name": "asyncpg" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 349, "name": "mock" }, { "id": 351, "name": "sphinx" }, { "id": 430, "name": "urllib3" }, { "id": 500, "name": "graphql" }, { "id": 531, "name": "opentelemetry" }, { "id": 541, "name": "strawberry" }, { "id": 542, "name": "multipart" }, { "id": 548, "name": "markupsafe" }, { "id": 583, "name": "__main__" }, { "id": 631, "name": "responses" }, { "id": 813, "name": "chalice" }, { "id": 819, "name": "pyspark" }, { "id": 885, "name": "eventlet" }, { "id": 886, "name": "werkzeug" }, { "id": 901, "name": "hypothesis" }, { "id": 906, "name": "quart" }, { "id": 909, "name": "tornado" }, { "id": 919, "name": "pyramid" }, { "id": 923, "name": "bottle" }, { "id": 926, "name": "falcon" }, { "id": 1000, "name": "starlite" }, { "id": 1048, "name": "clickhouse_driver" }, { "id": 1139, "name": "dill" }, { "id": 1167, "name": "apache_beam" }, { "id": 1256, "name": "rest_framework" }, { "id": 1357, "name": "blinker" }, { "id": 1411, "name": "async_asgi_testclient" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1414, "name": "fakeredis" }, { "id": 1463, "name": "gevent" }, { "id": 1522, "name": "pytest_chalice" }, { "id": 1523, "name": "mockupdb" }, { "id": 1524, "name": "trytond" }, { "id": 1525, "name": "newrelic" }, { "id": 1526, "name": "py4j" }, { "id": 1527, "name": "rb" }, { "id": 1528, "name": "channels" }, { "id": 1529, "name": "pytest_benchmark" }, { "id": 1530, "name": "uwsgi" }, { "id": 1531, "name": "rediscluster" }, { "id": 1532, "name": "billiard" }, { "id": 1533, "name": "quart_auth" }, { "id": 1534, "name": "asttokens" }, { "id": 1535, "name": "flask_login" }, { "id": 1536, "name": "huey" }, { "id": 1537, "name": "aiocontextvars" }, { "id": 1538, "name": "pytest_localserver" }, { "id": 1539, "name": "webob" }, { "id": 1540, "name": "rq" }, { "id": 1541, "name": "arq" }, { "id": 1542, "name": "pytest_django" }, { "id": 1656, "name": "graphene" }, { "id": 1685, "name": "sanic_testing" }, { "id": 2672, "name": "greenlet" }, { "id": 3615, "name": "gql" }, { "id": 4697, "name": "ariadne" } ], "last_checked_revision": "647006398228a3d75128fb0471ec701e93884acf\n" }, { "id": 210, "url": "https://github.com/d8ahazard/sd_dreambooth_extension", "description": "", "stars": 1722, "source_graph_repo_id": 59517069, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 97, "name": "omegaconf" }, { "id": 103, "name": "tomesd" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 151, "name": "bitsandbytes" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 182, "name": "wandb" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 355, "name": "importlib_metadata" }, { "id": 380, "name": "core" }, { "id": 476, "name": "modules" }, { "id": 607, "name": "tensorboard" }, { "id": 3786, "name": "lion_pytorch" }, { "id": 3937, "name": "discord_webhook" }, { "id": 3938, "name": "dadaptation" }, { "id": 4679, "name": "pytorch_optimizer" } ], "last_checked_revision": "f352739bb5fee3644b3375ec7785a1b263127b68\n" }, { "id": 211, "url": "https://github.com/cs01/termpair", "description": "View and control terminals from your browser with end-to-end encryption \ud83d\udd12", "stars": 1578, "source_graph_repo_id": 40447459, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 34, "name": "uvicorn" }, { "id": 122, "name": "psutil" }, { "id": 215, "name": "cryptography" }, { "id": 574, "name": "websockets" }, { "id": 1466, "name": "nox" } ], "last_checked_revision": "543d84af21e2892a8b6f177d1c397b88973b0e98\n" }, { "id": 212, "url": "https://github.com/LinkSoul-AI/Chinese-Llama-2-7b", "description": "\u5f00\u6e90\u793e\u533a\u7b2c\u4e00\u4e2a\u80fd\u4e0b\u8f7d\u3001\u80fd\u8fd0\u884c\u7684\u4e2d\u6587 LLaMA2 \u6a21\u578b\uff01", "stars": 2095, "source_graph_repo_id": 61383461, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 111, "name": "einops" }, { "id": 118, "name": "gradio" }, { "id": 154, "name": "datasets" }, { "id": 188, "name": "flash_attn" } ], "last_checked_revision": "a2749381e5fe8c830d0c3c8d923407d9d936a6c8\n" }, { "id": 213, "url": "https://github.com/https-deeplearning-ai/machine-learning-engineering-for-production-public", "description": "Public repo for DeepLearning.AI MLEP Specialization", "stars": 1668, "source_graph_repo_id": 46515386, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 38, "name": "pydantic" }, { "id": 190, "name": "locust" } ], "last_checked_revision": "9060a0d1da3fc7f3ce91516d309221145b85f0ed\n" }, { "id": 214, "url": "https://github.com/Codium-ai/pr-agent", "description": "\ud83d\ude80CodiumAI PR-Agent: An AI-Powered \ud83e\udd16 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! \ud83d\udcbb\ud83d\udd0d", "stars": 2962, "source_graph_repo_id": 61307776, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 43, "name": "pinecone" }, { "id": 46, "name": "azure" }, { "id": 50, "name": "tiktoken" }, { "id": 54, "name": "loguru" }, { "id": 73, "name": "jinja2" }, { "id": 81, "name": "boto3" }, { "id": 124, "name": "git" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 229, "name": "retry" }, { "id": 430, "name": "urllib3" }, { "id": 932, "name": "tomli" }, { "id": 1061, "name": "jwt" }, { "id": 1130, "name": "mangum" }, { "id": 1552, "name": "gitlab" }, { "id": 1640, "name": "github" }, { "id": 2556, "name": "atlassian" }, { "id": 2602, "name": "starlette_context" }, { "id": 2883, "name": "msrest" }, { "id": 3993, "name": "lancedb" }, { "id": 4254, "name": "dynaconf" }, { "id": 4255, "name": "litellm" }, { "id": 4460, "name": "pinecone_datasets" } ], "last_checked_revision": "0b4a98b3aab22388f15bb779c96fc1a410ff2d1d\n" }, { "id": 215, "url": "https://github.com/stanfordnlp/dspy", "description": "Stanford DSPy: The framework for programming\u2014not prompting\u2014foundation models", "stars": 4478, "source_graph_repo_id": 60147558, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 43, "name": "pinecone" }, { "id": 44, "name": "chromadb" }, { "id": 46, "name": "azure" }, { "id": 51, "name": "qdrant_client" }, { "id": 81, "name": "boto3" }, { "id": 127, "name": "tqdm" }, { "id": 154, "name": "datasets" }, { "id": 165, "name": "evaluate" }, { "id": 183, "name": "openai" }, { "id": 246, "name": "sentence_transformers" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 292, "name": "flask" }, { "id": 418, "name": "joblib" }, { "id": 479, "name": "regex" }, { "id": 533, "name": "optuna" }, { "id": 587, "name": "flask_cors" }, { "id": 595, "name": "backoff" }, { "id": 615, "name": "faiss" }, { "id": 3927, "name": "marqo" }, { "id": 4222, "name": "mlc_chat" }, { "id": 4889, "name": "camel" }, { "id": 4960, "name": "fastembed" } ], "last_checked_revision": "34d8420383ec752037aa271825c1d3bf391e1277\n" }, { "id": 216, "url": "https://github.com/houseofsecrets/SdPaint", "description": "Stable Diffusion Painting", "stars": 1582, "source_graph_repo_id": 60829028, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 82, "name": "PIL" }, { "id": 796, "name": "pygame" }, { "id": 4204, "name": "psd_tools" } ], "last_checked_revision": "d00e772ff5fb7c008c220fd2059c57578b0dee69\n" }, { "id": 217, "url": "https://github.com/dmontagu/fastapi-utils", "description": "Reusable utilities for FastAPI", "stars": 1635, "source_graph_repo_id": 39830713, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 28, "name": "_pytest" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" } ], "last_checked_revision": "3ef27a6f67ac10fae6a8b4816549c0c44567a451\n" }, { "id": 218, "url": "https://github.com/psychic-api/psychic", "description": "Data integration platform for LLMs. Connect to SaaS tools with turnkey auth and sync documents from N data sources with only one integration", "stars": 1629, "source_graph_repo_id": 60069990, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 48, "name": "supabase" }, { "id": 53, "name": "PyPDF2" }, { "id": 194, "name": "logger" }, { "id": 200, "name": "models" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 211, "name": "requests_oauthlib" }, { "id": 224, "name": "google" }, { "id": 225, "name": "google_auth_oauthlib" }, { "id": 226, "name": "googleapiclient" }, { "id": 243, "name": "html2text" }, { "id": 632, "name": "posthog" }, { "id": 1068, "name": "docx" }, { "id": 1640, "name": "github" }, { "id": 1872, "name": "stripe" }, { "id": 2556, "name": "atlassian" }, { "id": 3627, "name": "services" }, { "id": 4046, "name": "document_processors" }, { "id": 4047, "name": "hubspot" }, { "id": 4048, "name": "connectors" }, { "id": 4049, "name": "appstatestore" }, { "id": 4050, "name": "strenum" }, { "id": 4051, "name": "chunker" } ], "last_checked_revision": "00d8b3796027e4571c402f73359b34a8f9125704\n" }, { "id": 219, "url": "https://github.com/ELS-RD/transformer-deploy", "description": "Efficient, scalable and enterprise-grade CPU/GPU inference server for \ud83e\udd17 Hugging Face transformer models \ud83d\ude80", "stars": 1573, "source_graph_repo_id": 56368811, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 85, "name": "tritonclient" }, { "id": 89, "name": "triton_python_backend_utils" }, { "id": 115, "name": "packaging" }, { "id": 135, "name": "pkg_resources" }, { "id": 161, "name": "matplotlib" }, { "id": 186, "name": "seaborn" }, { "id": 246, "name": "sentence_transformers" }, { "id": 452, "name": "onnxruntime" }, { "id": 468, "name": "onnx" }, { "id": 524, "name": "tensorrt" }, { "id": 804, "name": "cupy" }, { "id": 1486, "name": "mkdocs_gen_files" }, { "id": 1529, "name": "pytest_benchmark" }, { "id": 3653, "name": "onnxoptimizer" }, { "id": 3654, "name": "transformer_deploy" }, { "id": 3655, "name": "torchdynamo" }, { "id": 3656, "name": "pytorch_quantization" } ], "last_checked_revision": "6b88e24ade6ce199e825adc0477b28a07f51f17d\n" }, { "id": 220, "url": "https://github.com/alibaba/SREWorks", "description": "Cloud Native DataOps & AIOps Platform | \u4e91\u539f\u751f\u6570\u667a\u8fd0\u7ef4\u5e73\u53f0 ", "stars": 1626, "source_graph_repo_id": 57588759, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 56, "name": "redis" }, { "id": 59, "name": "elasticsearch" }, { "id": 62, "name": "app" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 91, "name": "mysql" }, { "id": 98, "name": "pytz" }, { "id": 140, "name": "scipy" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 184, "name": "utils" }, { "id": 200, "name": "models" }, { "id": 211, "name": "requests_oauthlib" }, { "id": 217, "name": "confluent_kafka" }, { "id": 292, "name": "flask" }, { "id": 734, "name": "pymysql" }, { "id": 737, "name": "pip" }, { "id": 954, "name": "statsmodels" }, { "id": 961, "name": "pywt" }, { "id": 968, "name": "MySQLdb" }, { "id": 1021, "name": "oauthlib" }, { "id": 1107, "name": "msgpack" }, { "id": 1119, "name": "bentoml" }, { "id": 1123, "name": "common" }, { "id": 1134, "name": "kubernetes" }, { "id": 1140, "name": "gunicorn" }, { "id": 1255, "name": "helpers" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1463, "name": "gevent" }, { "id": 2077, "name": "astropy" }, { "id": 2667, "name": "kazoo" }, { "id": 3235, "name": "handlers" }, { "id": 3275, "name": "web" }, { "id": 3283, "name": "requests_unixsocket" }, { "id": 3324, "name": "nacos" }, { "id": 3431, "name": "cvxopt" }, { "id": 3463, "name": "tsp_train" }, { "id": 3496, "name": "undecorated" }, { "id": 3517, "name": "ai_lib" }, { "id": 3530, "name": "flask_swagger_ui" }, { "id": 3587, "name": "teslafaas" }, { "id": 3624, "name": "autoscaling" }, { "id": 3625, "name": "server_entry" }, { "id": 3627, "name": "services" }, { "id": 3967, "name": "pyflink" } ], "last_checked_revision": "5a3f2b30051f368274c6c427f20f6ec761a60d44\n" }, { "id": 221, "url": "https://github.com/avinashkranjan/Amazing-Python-Scripts", "description": "\ud83d\ude80 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.", "stars": 1660, "source_graph_repo_id": 41993866, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 20, "name": "pyppeteer" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 39, "name": "streamlit" }, { "id": 43, "name": "pinecone" }, { "id": 53, "name": "PyPDF2" }, { "id": 71, "name": "cv2" }, { "id": 77, "name": "dotenv" }, { "id": 78, "name": "imageio" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 91, "name": "mysql" }, { "id": 92, "name": "pymongo" }, { "id": 98, "name": "pytz" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 209, "name": "requests_html" }, { "id": 215, "name": "cryptography" }, { "id": 218, "name": "lxml" }, { "id": 224, "name": "google" }, { "id": 225, "name": "google_auth_oauthlib" }, { "id": 226, "name": "googleapiclient" }, { "id": 250, "name": "praw" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 266, "name": "discord" }, { "id": 278, "name": "plotly" }, { "id": 286, "name": "background" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 410, "name": "selenium" }, { "id": 418, "name": "joblib" }, { "id": 429, "name": "wget" }, { "id": 430, "name": "urllib3" }, { "id": 443, "name": "mediapipe" }, { "id": 450, "name": "reportlab" }, { "id": 455, "name": "prettytable" }, { "id": 467, "name": "openvino" }, { "id": 469, "name": "termcolor" }, { "id": 471, "name": "shapely" }, { "id": 477, "name": "webdriver_manager" }, { "id": 490, "name": "imutils" }, { "id": 509, "name": "docutils" }, { "id": 544, "name": "email_validator" }, { "id": 562, "name": "gym" }, { "id": 567, "name": "rl" }, { "id": 592, "name": "dash" }, { "id": 612, "name": "pytesseract" }, { "id": 620, "name": "networkx" }, { "id": 630, "name": "pylint" }, { "id": 648, "name": "pyaudio" }, { "id": 687, "name": "milvus" }, { "id": 694, "name": "progressbar" }, { "id": 698, "name": "pydub" }, { "id": 722, "name": "pdf2image" }, { "id": 734, "name": "pymysql" }, { "id": 754, "name": "librosa" }, { "id": 794, "name": "moto" }, { "id": 796, "name": "pygame" }, { "id": 857, "name": "keras" }, { "id": 876, "name": "pyperclip" }, { "id": 910, "name": "ninja" }, { "id": 948, "name": "apscheduler" }, { "id": 954, "name": "statsmodels" }, { "id": 1059, "name": "decouple" }, { "id": 1067, "name": "dns" }, { "id": 1071, "name": "markdown2" }, { "id": 1076, "name": "playsound" }, { "id": 1088, "name": "replicate" }, { "id": 1120, "name": "mongoengine" }, { "id": 1149, "name": "tf" }, { "id": 1256, "name": "rest_framework" }, { "id": 1323, "name": "imblearn" }, { "id": 1328, "name": "pmdarima" }, { "id": 1346, "name": "PyQt5" }, { "id": 1392, "name": "moviepy" }, { "id": 1418, "name": "pyautogui" }, { "id": 1424, "name": "pyqrcode" }, { "id": 1434, "name": "pycodestyle" }, { "id": 1436, "name": "emoji" }, { "id": 1474, "name": "wtforms" }, { "id": 1578, "name": "boto" }, { "id": 1640, "name": "github" }, { "id": 1707, "name": "flask_bootstrap" }, { "id": 1723, "name": "plyer" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 1726, "name": "geocoder" }, { "id": 1727, "name": "png" }, { "id": 1728, "name": "mutagen" }, { "id": 1729, "name": "ezgmail" }, { "id": 1735, "name": "pynput" }, { "id": 1736, "name": "pytube" }, { "id": 1737, "name": "pyttsx3" }, { "id": 1740, "name": "twilio" }, { "id": 1741, "name": "tabula" }, { "id": 1743, "name": "pywhatkit" }, { "id": 1745, "name": "fpdf" }, { "id": 1746, "name": "tkcalendar" }, { "id": 1748, "name": "speech_recognition" }, { "id": 1750, "name": "gtts" }, { "id": 1751, "name": "pyjokes" }, { "id": 1755, "name": "openpyxl" }, { "id": 1759, "name": "pafy" }, { "id": 1762, "name": "tweepy" }, { "id": 1763, "name": "xlrd" }, { "id": 1764, "name": "googletrans" }, { "id": 1766, "name": "win10toast" }, { "id": 1797, "name": "phonenumbers" }, { "id": 1812, "name": "keyboard" }, { "id": 1817, "name": "inflect" }, { "id": 1839, "name": "webrtcvad" }, { "id": 1862, "name": "qrcode" }, { "id": 1924, "name": "win32con" }, { "id": 2040, "name": "schedule" }, { "id": 2042, "name": "telegram" }, { "id": 2095, "name": "fake_useragent" }, { "id": 2137, "name": "textblob" }, { "id": 2202, "name": "better_profanity" }, { "id": 2271, "name": "flask_wtf" }, { "id": 2310, "name": "folium" }, { "id": 2355, "name": "pyotp" }, { "id": 2392, "name": "tensorflowjs" }, { "id": 2540, "name": "sumy" }, { "id": 2697, "name": "imgaug" }, { "id": 2790, "name": "yfinance" }, { "id": 2896, "name": "dash_core_components" }, { "id": 2923, "name": "ttkthemes" }, { "id": 2927, "name": "kivy" }, { "id": 2931, "name": "scapy" }, { "id": 2939, "name": "pdfminer" }, { "id": 2948, "name": "PySimpleGUI" }, { "id": 2960, "name": "dash_html_components" }, { "id": 3232, "name": "spellchecker" }, { "id": 3662, "name": "sounddevice" }, { "id": 3751, "name": "wikipediaapi" }, { "id": 3755, "name": "simpleaudio" }, { "id": 3858, "name": "win32file" }, { "id": 3889, "name": "pyshorteners" }, { "id": 3891, "name": "pyfiglet" }, { "id": 3900, "name": "speedtest" }, { "id": 3901, "name": "wikipedia" }, { "id": 3902, "name": "pynotifier" }, { "id": 3906, "name": "PyDictionary" }, { "id": 3940, "name": "vaderSentiment" }, { "id": 3965, "name": "telebot" }, { "id": 3995, "name": "wolframalpha" }, { "id": 4063, "name": "snscrape" }, { "id": 4071, "name": "spotipy" }, { "id": 4073, "name": "geopy" }, { "id": 4078, "name": "mediawiki" }, { "id": 4079, "name": "supplement" }, { "id": 4080, "name": "flappy_bird_gym" }, { "id": 4081, "name": "img2pdf" }, { "id": 4082, "name": "Shortener" }, { "id": 4083, "name": "panns_inference" }, { "id": 4084, "name": "flask_ngrok" }, { "id": 4085, "name": "chatterbot" }, { "id": 4086, "name": "ecapture" }, { "id": 4087, "name": "pymunk" }, { "id": 4088, "name": "clipboard" }, { "id": 4089, "name": "quote" }, { "id": 4090, "name": "customtkinter" }, { "id": 4091, "name": "pyrebase" }, { "id": 4092, "name": "pdfrw" }, { "id": 4093, "name": "audio" }, { "id": 4094, "name": "colorgram" }, { "id": 4095, "name": "gmplot" }, { "id": 4096, "name": "notify2" }, { "id": 4097, "name": "clint" }, { "id": 4098, "name": "cecmap" }, { "id": 4099, "name": "resizeimage" }, { "id": 4100, "name": "neat" }, { "id": 4101, "name": "RPi" }, { "id": 4102, "name": "englisttohindi" }, { "id": 4103, "name": "fixtool" }, { "id": 4104, "name": "iocextract" }, { "id": 4105, "name": "ping3" }, { "id": 4106, "name": "demoji" }, { "id": 4107, "name": "pylab" }, { "id": 4108, "name": "wallpaper" }, { "id": 4109, "name": "magenta" }, { "id": 4110, "name": "neologdn" }, { "id": 4111, "name": "mrcnn" }, { "id": 4112, "name": "simplefix" }, { "id": 4113, "name": "nasapy" }, { "id": 4114, "name": "pdf2docx" }, { "id": 4115, "name": "lyricsgenius" }, { "id": 4116, "name": "tv" }, { "id": 4117, "name": "tkhtmlview" }, { "id": 4118, "name": "awstesting" }, { "id": 4119, "name": "html2md" }, { "id": 4120, "name": "alpha_vantage" }, { "id": 4121, "name": "pyppdf" }, { "id": 4122, "name": "stegano" }, { "id": 4123, "name": "newsapi" }, { "id": 4124, "name": "private_settings" } ], "last_checked_revision": "ce10fff0c6c0e1015e56c28059a7f4df65b2342a\n" }, { "id": 222, "url": "https://github.com/thinkst/canarytokens", "description": "Canarytokens helps track activity and actions on your network.", "stars": 1588, "source_graph_repo_id": 1151502, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 73, "name": "jinja2" }, { "id": 74, "name": "sentry_sdk" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 215, "name": "cryptography" }, { "id": 223, "name": "botocore" }, { "id": 569, "name": "deepdiff" }, { "id": 812, "name": "faker" }, { "id": 936, "name": "toml" }, { "id": 1067, "name": "dns" }, { "id": 1068, "name": "docx" }, { "id": 1210, "name": "sendgrid" }, { "id": 1235, "name": "twisted" }, { "id": 1236, "name": "zope" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1361, "name": "nacl" }, { "id": 1718, "name": "segno" }, { "id": 1719, "name": "python_http_client" }, { "id": 1720, "name": "pyzbar" }, { "id": 1721, "name": "minify_html" } ], "last_checked_revision": "ca1e0286a371e211c2f25ef0fe7309963b0ae055\n" }, { "id": 223, "url": "https://github.com/longguikeji/arkid", "description": "\u4e00\u8d26\u901a\u662f\u4e00\u6b3e\u5f00\u6e90\u7684\u7edf\u4e00\u8eab\u4efd\u8ba4\u8bc1\u6388\u6743\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\uff0c\u652f\u6301\u591a\u79cd\u6807\u51c6\u534f\u8bae(LDAP, OAuth2, SAML, OpenID)\uff0c\u7ec6\u7c92\u5ea6\u6743\u9650\u63a7\u5236\uff0c\u5b8c\u6574\u7684WEB\u7ba1\u7406\u529f\u80fd\uff0c\u9489\u9489\u3001\u4f01\u4e1a\u5fae\u4fe1\u96c6\u6210\u7b49\uff0cQQ group: 167885406", "stars": 1459, "source_graph_repo_id": 39045856, "dependencies": [ { "id": 9, "name": "typing_extensions" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 45, "name": "arrow" }, { "id": 56, "name": "redis" }, { "id": 66, "name": "celery" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 135, "name": "pkg_resources" }, { "id": 155, "name": "six" }, { "id": 348, "name": "django" }, { "id": 430, "name": "urllib3" }, { "id": 504, "name": "jwcrypto" }, { "id": 737, "name": "pip" }, { "id": 910, "name": "ninja" }, { "id": 936, "name": "toml" }, { "id": 968, "name": "MySQLdb" }, { "id": 1021, "name": "oauthlib" }, { "id": 1061, "name": "jwt" }, { "id": 1179, "name": "pymssql" }, { "id": 1237, "name": "defusedxml" }, { "id": 1256, "name": "rest_framework" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1287, "name": "ldap3" }, { "id": 1752, "name": "xlwt" }, { "id": 1763, "name": "xlrd" }, { "id": 2120, "name": "tasks" }, { "id": 2343, "name": "stomp" }, { "id": 2344, "name": "inventory" }, { "id": 2345, "name": "alibabacloud_dysmsapi20170525" }, { "id": 2346, "name": "cryptocode" }, { "id": 2347, "name": "saml2" }, { "id": 2348, "name": "requests_futures" }, { "id": 2349, "name": "extension" }, { "id": 2350, "name": "alibabacloud_tea_openapi" }, { "id": 2351, "name": "login_register_config" }, { "id": 2352, "name": "pyrad" }, { "id": 2353, "name": "webauthn" }, { "id": 2354, "name": "django_celery_beat" }, { "id": 2355, "name": "pyotp" }, { "id": 2356, "name": "kerberos" }, { "id": 2357, "name": "tenant" } ], "last_checked_revision": "b7a7c074fb0ee36b1f779353c1b4d3b3288c1cae\n" }, { "id": 224, "url": "https://github.com/jordaneremieff/mangum", "description": "AWS Lambda support for ASGI applications", "stars": 1510, "source_graph_repo_id": 40057464, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 906, "name": "quart" }, { "id": 1355, "name": "brotli" }, { "id": 1631, "name": "brotli_asgi" } ], "last_checked_revision": "6086c268f32571c01f18e20875430db14a0570bc\n" }, { "id": 225, "url": "https://github.com/ssbuild/chatglm_finetuning", "description": "chatglm 6b finetuning and alpaca finetuning", "stars": 1499, "source_graph_repo_id": 60602227, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 127, "name": "tqdm" }, { "id": 154, "name": "datasets" }, { "id": 159, "name": "lightning" }, { "id": 178, "name": "peft" }, { "id": 720, "name": "rouge" }, { "id": 1385, "name": "aigc_zoo" }, { "id": 1386, "name": "sacrebleu" }, { "id": 1387, "name": "fastdatasets" }, { "id": 1388, "name": "deep_training" } ], "last_checked_revision": "1df93f93ae88b7fe5806dff9364e9fc062f264ca\n" }, { "id": 226, "url": "https://github.com/Physton/sd-webui-prompt-all-in-one", "description": "This is an extension based on sd-webui, aimed at improving the user experience of the prompt/negative prompt input box. It has a more intuitive and powerful input interface function, and provides automatic translation, history record, and bookmarking functions. \u8fd9\u662f\u4e00\u4e2a\u57fa\u4e8e sd-webui \u7684\u6269\u5c55\uff0c\u65e8\u5728\u63d0\u9ad8\u63d0\u793a\u8bcd/\u53cd\u5411\u63d0\u793a\u8bcd\u8f93\u5165\u6846\u7684\u4f7f\u7528\u4f53\u9a8c\u3002\u5b83\u62e5\u6709\u66f4\u76f4\u89c2\u3001\u5f3a\u5927\u7684\u8f93\u5165\u754c\u9762\u529f\u80fd\uff0c\u5b83\u63d0\u4f9b\u4e86\u81ea\u52a8\u7ffb\u8bd1\u3001\u5386\u53f2\u8bb0\u5f55\u548c\u6536\u85cf\u7b49\u529f\u80fd\u3002", "stars": 2075, "source_graph_repo_id": 60964722, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 19, "name": "requests" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 215, "name": "cryptography" }, { "id": 218, "name": "lxml" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" }, { "id": 1045, "name": "chardet" }, { "id": 1821, "name": "pathos" }, { "id": 1954, "name": "aliyunsdkcore" }, { "id": 2833, "name": "execjs" }, { "id": 4226, "name": "aliyunsdkalimt" } ], "last_checked_revision": "658ae82218a3bb1e15df12fd6a372c7bdf0f4fe3\n" }, { "id": 227, "url": "https://github.com/CiaraStrawberry/TemporalKit", "description": "An all in one solution for adding Temporal Stability to a Stable Diffusion Render via an automatic1111 extension", "stars": 1730, "source_graph_repo_id": 60805587, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 71, "name": "cv2" }, { "id": 78, "name": "imageio" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 97, "name": "omegaconf" }, { "id": 111, "name": "einops" }, { "id": 118, "name": "gradio" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" }, { "id": 1392, "name": "moviepy" }, { "id": 1393, "name": "scenedetect" }, { "id": 1394, "name": "extensions" } ], "last_checked_revision": "f46d255cfeb9c4b0c682bae5660a04ac7b7cd8dc\n" }, { "id": 228, "url": "https://github.com/collerek/ormar", "description": "python async orm with fastapi in mind and pydantic validation", "stars": 1497, "source_graph_repo_id": 42162718, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 196, "name": "asyncpg" }, { "id": 215, "name": "cryptography" }, { "id": 355, "name": "importlib_metadata" }, { "id": 399, "name": "orjson" }, { "id": 547, "name": "databases" }, { "id": 734, "name": "pymysql" }, { "id": 1405, "name": "asgi_lifespan" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1486, "name": "mkdocs_gen_files" }, { "id": 1487, "name": "_weakref" }, { "id": 1488, "name": "nest_asyncio" } ], "last_checked_revision": "3e15f3a6acf7f42da5aca93c22ac4a2fee9b69ed\n" }, { "id": 229, "url": "https://github.com/ycd/manage-fastapi", "description": ":rocket: CLI tool for FastAPI. Generating new FastAPI projects & boilerplates made easy. ", "stars": 1543, "source_graph_repo_id": 41786604, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 38, "name": "pydantic" }, { "id": 62, "name": "app" }, { "id": 68, "name": "sqlalchemy" }, { "id": 135, "name": "pkg_resources" }, { "id": 1485, "name": "questionary" }, { "id": 2813, "name": "cookiecutter" } ], "last_checked_revision": "b1c266fb5eb73ce09f6ccc2fcb28b76be9fade4b\n" }, { "id": 230, "url": "https://github.com/oxsecurity/megalinter", "description": "\ud83e\udd99 MegaLinter analyzes 50 languages, 22 formats, 21 tooling formats, excessive copy-pastes, spelling mistakes and security issues in your repository sources with a GitHub Action, other CI tools or locally.", "stars": 1585, "source_graph_repo_id": 42263538, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 56, "name": "redis" }, { "id": 124, "name": "git" }, { "id": 445, "name": "pygments" }, { "id": 479, "name": "regex" }, { "id": 1020, "name": "pytablewriter" }, { "id": 1083, "name": "aiofiles" }, { "id": 1401, "name": "terminaltables" }, { "id": 1540, "name": "rq" }, { "id": 1552, "name": "gitlab" }, { "id": 1640, "name": "github" }, { "id": 1717, "name": "commentjson" }, { "id": 2881, "name": "chalk" }, { "id": 2882, "name": "multiprocessing_logging" }, { "id": 2883, "name": "msrest" }, { "id": 2884, "name": "jsonpickle" } ], "last_checked_revision": "006eb9d58d9e0c944f55c58a9580ab0b74877632\n" }, { "id": 231, "url": "https://github.com/roman-right/beanie", "description": "Asynchronous Python ODM for MongoDB", "stars": 1603, "source_graph_repo_id": 43223111, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 76, "name": "click" }, { "id": 92, "name": "pymongo" }, { "id": 272, "name": "bson" }, { "id": 538, "name": "pydantic_settings" }, { "id": 539, "name": "pydantic_core" }, { "id": 936, "name": "toml" }, { "id": 1007, "name": "motor" }, { "id": 1405, "name": "asgi_lifespan" }, { "id": 1458, "name": "lazy_model" } ], "last_checked_revision": "f2e143925219ebac2c5f665dd4368b4708e6ae96\n" }, { "id": 232, "url": "https://github.com/linode/docs", "description": "Linode guides and tutorials.", "stars": 1376, "source_graph_repo_id": 40015771, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 81, "name": "boto3" }, { "id": 156, "name": "tabulate" }, { "id": 223, "name": "botocore" }, { "id": 479, "name": "regex" }, { "id": 629, "name": "frontmatter" }, { "id": 1366, "name": "scrapy" }, { "id": 1740, "name": "twilio" }, { "id": 2555, "name": "sh" }, { "id": 3882, "name": "linode_api4" } ], "last_checked_revision": "013c3a53b04eb30c84ac1e420c5e9c9d2cc08bb1\n" }, { "id": 233, "url": "https://github.com/milvus-io/bootcamp", "description": "Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.", "stars": 1496, "source_graph_repo_id": 39218376, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 58, "name": "pymilvus" }, { "id": 71, "name": "cv2" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 292, "name": "flask" }, { "id": 439, "name": "torchaudio" }, { "id": 734, "name": "pymysql" }, { "id": 772, "name": "config" }, { "id": 1073, "name": "diskcache" }, { "id": 1392, "name": "moviepy" }, { "id": 1806, "name": "logs" }, { "id": 1829, "name": "encode" }, { "id": 2380, "name": "gdown" }, { "id": 2381, "name": "mysql_helpers" }, { "id": 2382, "name": "milvus_helpers" }, { "id": 2383, "name": "towhee" }, { "id": 2414, "name": "insightface" } ], "last_checked_revision": "fb81f5f6c181f4a9c772dc5fba234267a3478843\n" }, { "id": 234, "url": "https://github.com/jina-ai/langchain-serve", "description": "\u26a1 Langchain apps in production using Jina & FastAPI", "stars": 1498, "source_graph_repo_id": 60678601, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 47, "name": "tenacity" }, { "id": 57, "name": "llama_index" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 523, "name": "jina" }, { "id": 528, "name": "docarray" }, { "id": 531, "name": "opentelemetry" }, { "id": 574, "name": "websockets" }, { "id": 615, "name": "faiss" }, { "id": 936, "name": "toml" }, { "id": 1083, "name": "aiofiles" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 2548, "name": "slack_bolt" }, { "id": 2757, "name": "jcloud" }, { "id": 2758, "name": "hubble" }, { "id": 2951, "name": "textual" }, { "id": 4061, "name": "pandasai" }, { "id": 4184, "name": "ansi2html" } ], "last_checked_revision": "22ce7ca86509635d0247a6f6a5b83546a6b8ef9b\n" }, { "id": 235, "url": "https://github.com/tencentmusic/cube-studio", "description": "cube studio\u5f00\u6e90\u4e91\u539f\u751f\u4e00\u7ad9\u5f0f\u673a\u5668\u5b66\u4e60/\u6df1\u5ea6\u5b66\u4e60AI\u5e73\u53f0\uff0c\u652f\u6301sso\u767b\u5f55\uff0c\u591a\u79df\u6237/\u591a\u9879\u76ee\u7ec4\uff0c\u6570\u636e\u8d44\u4ea7\u5bf9\u63a5\uff0cnotebook\u5728\u7ebf\u5f00\u53d1\uff0c\u62d6\u62c9\u62fd\u4efb\u52a1\u6d41pipeline\u7f16\u6392\uff0c\u591a\u673a\u591a\u5361\u5206\u5e03\u5f0f\u7b97\u6cd5\u8bad\u7ec3\uff0c\u8d85\u53c2\u641c\u7d22\uff0c\u63a8\u7406\u670d\u52a1VGPU\uff0c\u591a\u96c6\u7fa4\u8c03\u5ea6\uff0c\u8fb9\u7f18\u8ba1\u7b97\uff0cserverless\uff0c\u6807\u6ce8\u5e73\u53f0\uff0c\u81ea\u52a8\u5316\u6807\u6ce8\uff0c\u6570\u636e\u96c6\u7ba1\u7406\uff0c\u5927\u6a21\u578b\u4e00\u952e\u5fae\u8c03\uff0cllmops\uff0c\u79c1\u6709\u77e5\u8bc6\u5e93\uff0cAI\u5e94\u7528\u5546\u5e97\uff0c\u652f\u6301\u6a21\u578b\u4e00\u952e\u5f00\u53d1/\u63a8\u7406/\u5fae\u8c03\uff0c\u79c1\u6709\u5316\u90e8\u7f72\uff0c\u652f\u6301\u56fd\u4ea7cpu/gpu/npu\u82af\u7247\uff0c\u652f\u6301RDMA\uff0c\u652f\u6301pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano\u5206\u5e03\u5f0f", "stars": 1666, "source_graph_repo_id": 56097135, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 49, "name": "grpc" }, { "id": 56, "name": "redis" }, { "id": 60, "name": "psycopg2" }, { "id": 61, "name": "alembic" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 184, "name": "utils" }, { "id": 200, "name": "models" }, { "id": 203, "name": "pypandoc" }, { "id": 215, "name": "cryptography" }, { "id": 224, "name": "google" }, { "id": 261, "name": "pyarrow" }, { "id": 292, "name": "flask" }, { "id": 418, "name": "joblib" }, { "id": 420, "name": "horovod" }, { "id": 428, "name": "marshmallow" }, { "id": 430, "name": "urllib3" }, { "id": 446, "name": "tensorboardX" }, { "id": 455, "name": "prettytable" }, { "id": 491, "name": "data" }, { "id": 497, "name": "prometheus_client" }, { "id": 572, "name": "croniter" }, { "id": 587, "name": "flask_cors" }, { "id": 690, "name": "markdown" }, { "id": 734, "name": "pymysql" }, { "id": 772, "name": "config" }, { "id": 799, "name": "xgboost" }, { "id": 819, "name": "pyspark" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 857, "name": "keras" }, { "id": 879, "name": "flask_socketio" }, { "id": 886, "name": "werkzeug" }, { "id": 963, "name": "simplejson" }, { "id": 1004, "name": "colorama" }, { "id": 1016, "name": "statsd" }, { "id": 1057, "name": "kafka" }, { "id": 1061, "name": "jwt" }, { "id": 1131, "name": "minio" }, { "id": 1134, "name": "kubernetes" }, { "id": 1175, "name": "tensorflow_serving" }, { "id": 1439, "name": "bleach" }, { "id": 1448, "name": "humanize" }, { "id": 1474, "name": "wtforms" }, { "id": 1535, "name": "flask_login" }, { "id": 1558, "name": "pika" }, { "id": 1697, "name": "flask_caching" }, { "id": 1873, "name": "flask_babel" }, { "id": 1874, "name": "flask_migrate" }, { "id": 1912, "name": "aiohttp_cors" }, { "id": 2265, "name": "project" }, { "id": 2271, "name": "flask_wtf" }, { "id": 2318, "name": "marshmallow_sqlalchemy" }, { "id": 2321, "name": "face_recognition" }, { "id": 3203, "name": "pysnooper" }, { "id": 3204, "name": "dlib" }, { "id": 3205, "name": "prison" }, { "id": 3206, "name": "job" }, { "id": 3207, "name": "wtforms_json" }, { "id": 3208, "name": "flask_talisman" }, { "id": 3209, "name": "flask_appbuilder" }, { "id": 3210, "name": "tensorflow_recommenders_addons" }, { "id": 3211, "name": "NER" }, { "id": 3212, "name": "sklearn_crfsuite" }, { "id": 3213, "name": "nni" }, { "id": 3214, "name": "pandarallel" }, { "id": 3215, "name": "darknetpy" }, { "id": 3216, "name": "myapp_config" }, { "id": 3217, "name": "webhooks" }, { "id": 3218, "name": "cubestudio" }, { "id": 3219, "name": "parsedatetime" }, { "id": 3220, "name": "flask_compress" }, { "id": 3221, "name": "contextlib2" }, { "id": 3222, "name": "pydruid" }, { "id": 3886, "name": "pdfkit" } ], "last_checked_revision": "641cfabaef9c35769e2bf0b1be4fde5771c1215a\n" }, { "id": 236, "url": "https://github.com/keephq/keep", "description": "The open-source alerts management and automation platform", "stars": 2569, "source_graph_repo_id": 60341162, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 59, "name": "elasticsearch" }, { "id": 60, "name": "psycopg2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 91, "name": "mysql" }, { "id": 92, "name": "pymongo" }, { "id": 98, "name": "pytz" }, { "id": 135, "name": "pkg_resources" }, { "id": 206, "name": "langchain" }, { "id": 211, "name": "requests_oauthlib" }, { "id": 215, "name": "cryptography" }, { "id": 224, "name": "google" }, { "id": 227, "name": "websocket" }, { "id": 236, "name": "sqlmodel" }, { "id": 341, "name": "paramiko" }, { "id": 455, "name": "prettytable" }, { "id": 531, "name": "opentelemetry" }, { "id": 577, "name": "pympler" }, { "id": 734, "name": "pymysql" }, { "id": 1057, "name": "kafka" }, { "id": 1061, "name": "jwt" }, { "id": 1132, "name": "snowflake" }, { "id": 1134, "name": "kubernetes" }, { "id": 1209, "name": "chevron" }, { "id": 1210, "name": "sendgrid" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1640, "name": "github" }, { "id": 1694, "name": "datadog_api_client" }, { "id": 1699, "name": "astunparse" }, { "id": 1740, "name": "twilio" }, { "id": 2042, "name": "telegram" }, { "id": 2272, "name": "pusher" }, { "id": 2302, "name": "validators" }, { "id": 2580, "name": "opsgenie_sdk" }, { "id": 2602, "name": "starlette_context" }, { "id": 3054, "name": "pyngrok" }, { "id": 4133, "name": "datefinder" }, { "id": 4134, "name": "logmine_pkg" }, { "id": 4135, "name": "grafana_api" }, { "id": 4238, "name": "auth0" }, { "id": 4426, "name": "pytest_docker" }, { "id": 4699, "name": "asteval" }, { "id": 5626, "name": "celpy" } ], "last_checked_revision": "34017227a2a2061820ee9f52b71f109470ff7ff7\n" }, { "id": 237, "url": "https://github.com/etesync/server", "description": "The Etebase server (so you can run your own)", "stars": 1414, "source_graph_repo_id": 35711230, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 18, "name": "setuptools" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 259, "name": "asgiref" }, { "id": 348, "name": "django" }, { "id": 1361, "name": "nacl" }, { "id": 1362, "name": "etebase_server_settings" } ], "last_checked_revision": "6b66ec16d5af65858fda40df52463e431b3ae933\n" }, { "id": 238, "url": "https://github.com/graphql-python/gql", "description": "A GraphQL client in Python", "stars": 1388, "source_graph_repo_id": 40007281, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 37, "name": "httpx" }, { "id": 106, "name": "anyio" }, { "id": 223, "name": "botocore" }, { "id": 349, "name": "mock" }, { "id": 430, "name": "urllib3" }, { "id": 500, "name": "graphql" }, { "id": 574, "name": "websockets" }, { "id": 595, "name": "backoff" }, { "id": 929, "name": "yarl" }, { "id": 930, "name": "multidict" }, { "id": 1083, "name": "aiofiles" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1428, "name": "gql_checker" }, { "id": 1429, "name": "aioconsole" }, { "id": 1430, "name": "parse" }, { "id": 1431, "name": "vcr" }, { "id": 1432, "name": "requests_toolbelt" }, { "id": 1433, "name": "pylama" }, { "id": 1434, "name": "pycodestyle" }, { "id": 2935, "name": "trio" } ], "last_checked_revision": "039236c0eca09e44d49e9ccc438f8310da514fd7\n" }, { "id": 239, "url": "https://github.com/googlecreativelab/teachablemachine-community", "description": "Example code snippets and machine learning code for Teachable Machine", "stars": 1363, "source_graph_repo_id": 38878542, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 857, "name": "keras" }, { "id": 2391, "name": "tflite_support" }, { "id": 2392, "name": "tensorflowjs" } ], "last_checked_revision": "d95cfd8040d0813f41319761cdd657e49ee00c26\n" }, { "id": 240, "url": "https://github.com/huggingface/autotrain-advanced", "description": "\ud83e\udd17 AutoTrain Advanced", "stars": 2586, "source_graph_repo_id": 43158391, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 165, "name": "evaluate" }, { "id": 174, "name": "albumentations" }, { "id": 178, "name": "peft" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 418, "name": "joblib" }, { "id": 533, "name": "optuna" }, { "id": 799, "name": "xgboost" }, { "id": 3054, "name": "pyngrok" }, { "id": 3068, "name": "codecarbon" }, { "id": 3069, "name": "autotrain" }, { "id": 3070, "name": "trl" } ], "last_checked_revision": "649fbac9467fbf21aae60ca7e24bbae35e47b41f\n" }, { "id": 241, "url": "https://github.com/claffin/cloudproxy", "description": "Hide your scrapers IP behind the cloud. Provision proxy servers across different cloud providers to improve your scraping success.", "stars": 1311, "source_graph_repo_id": 52326553, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 54, "name": "loguru" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 430, "name": "urllib3" }, { "id": 948, "name": "apscheduler" }, { "id": 1566, "name": "slumber" }, { "id": 1567, "name": "scaleway" }, { "id": 1568, "name": "hcloud" }, { "id": 1569, "name": "dateparser" }, { "id": 1570, "name": "digitalocean" }, { "id": 1571, "name": "uvicorn_loguru_integration" } ], "last_checked_revision": "e93bfd245b737ac7386828b56291c3aef374715e\n" }, { "id": 242, "url": "https://github.com/elanmart/cbp-translate", "description": "", "stars": 1274, "source_graph_repo_id": 59880521, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 97, "name": "omegaconf" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 429, "name": "wget" }, { "id": 639, "name": "whisper" }, { "id": 754, "name": "librosa" }, { "id": 1381, "name": "modal" }, { "id": 1382, "name": "ffmpeg" }, { "id": 3850, "name": "nemo" }, { "id": 3928, "name": "pyannote" }, { "id": 3929, "name": "yt_dlp" }, { "id": 3968, "name": "deepface" }, { "id": 3969, "name": "deepl" } ], "last_checked_revision": "4fb02f43cf2ce425995f718bd123d315fc0f3430\n" }, { "id": 243, "url": "https://github.com/HFrost0/bilix", "description": "\u26a1\ufe0fLightning-fast async download tool for bilibili and more | \u5feb\u5982\u95ea\u7535\u7684\u5f02\u6b65\u4e0b\u8f7d\u5de5\u5177\uff0c\u652f\u6301bilibili\u53ca\u66f4\u591a", "stars": 1377, "source_graph_repo_id": 57696679, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 22, "name": "bs4" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 76, "name": "click" }, { "id": 96, "name": "rich" }, { "id": 106, "name": "anyio" }, { "id": 214, "name": "json5" }, { "id": 643, "name": "Crypto" }, { "id": 1042, "name": "browser_cookie3" }, { "id": 1083, "name": "aiofiles" }, { "id": 2833, "name": "execjs" }, { "id": 3746, "name": "danmakuC" }, { "id": 3747, "name": "pymp4" }, { "id": 3748, "name": "m3u8" } ], "last_checked_revision": "2efb88701b6ac98bace8fe6bf638e3deb546e596\n" }, { "id": 244, "url": "https://github.com/RobertCraigie/prisma-client-py", "description": "Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use", "stars": 1418, "source_graph_repo_id": 55653543, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 124, "name": "git" }, { "id": 266, "name": "discord" }, { "id": 292, "name": "flask" }, { "id": 349, "name": "mock" }, { "id": 385, "name": "foo" }, { "id": 539, "name": "pydantic_core" }, { "id": 549, "name": "dirty_equals" }, { "id": 946, "name": "pytest_mock" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1466, "name": "nox" }, { "id": 1549, "name": "tomlkit" }, { "id": 2927, "name": "kivy" }, { "id": 2953, "name": "kivymd" }, { "id": 3053, "name": "distro" }, { "id": 3182, "name": "prisma_cleanup" }, { "id": 3183, "name": "nodejs" }, { "id": 3184, "name": "rtoml" }, { "id": 3185, "name": "pytest_subprocess" }, { "id": 3186, "name": "prisma" }, { "id": 3187, "name": "hashids" }, { "id": 3188, "name": "cached_property" }, { "id": 3189, "name": "syrupy" }, { "id": 4050, "name": "strenum" } ], "last_checked_revision": "feaef233005c2f867e406d1db697b3283fd4453a\n" }, { "id": 245, "url": "https://github.com/intel/neural-compressor", "description": "Provide unified APIs for SOTA model compression techniques, such as low precision (INT8/INT4/FP4/NF4) quantization, sparsity, pruning, and knowledge distillation on mainstream AI frameworks such as TensorFlow, PyTorch, and ONNX Runtime.", "stars": 1720, "source_graph_repo_id": 41870078, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 105, "name": "timm" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 145, "name": "fire" }, { "id": 152, "name": "rouge_score" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 177, "name": "h5py" }, { "id": 178, "name": "peft" }, { "id": 180, "name": "apex" }, { "id": 182, "name": "wandb" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 200, "name": "models" }, { "id": 224, "name": "google" }, { "id": 245, "name": "absl" }, { "id": 292, "name": "flask" }, { "id": 409, "name": "watchdog" }, { "id": 420, "name": "horovod" }, { "id": 422, "name": "gpustat" }, { "id": 432, "name": "torchinfo" }, { "id": 438, "name": "cpuinfo" }, { "id": 439, "name": "torchaudio" }, { "id": 442, "name": "filelock" }, { "id": 446, "name": "tensorboardX" }, { "id": 452, "name": "onnxruntime" }, { "id": 455, "name": "prettytable" }, { "id": 464, "name": "fvcore" }, { "id": 467, "name": "openvino" }, { "id": 468, "name": "onnx" }, { "id": 475, "name": "cityscapesscripts" }, { "id": 487, "name": "iopath" }, { "id": 492, "name": "caffe2" }, { "id": 519, "name": "sentencepiece" }, { "id": 532, "name": "intel_extension_for_pytorch" }, { "id": 533, "name": "optuna" }, { "id": 534, "name": "torch_xla" }, { "id": 551, "name": "deepspeed" }, { "id": 587, "name": "flask_cors" }, { "id": 605, "name": "mpi4py" }, { "id": 620, "name": "networkx" }, { "id": 657, "name": "pycocotools" }, { "id": 754, "name": "librosa" }, { "id": 756, "name": "run_classifier" }, { "id": 760, "name": "hyperopt" }, { "id": 787, "name": "mxnet" }, { "id": 799, "name": "xgboost" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 848, "name": "tensorflow_addons" }, { "id": 857, "name": "keras" }, { "id": 879, "name": "flask_socketio" }, { "id": 886, "name": "werkzeug" }, { "id": 895, "name": "lm_eval" }, { "id": 936, "name": "toml" }, { "id": 1014, "name": "jupyter_packaging" }, { "id": 1086, "name": "win32api" }, { "id": 1095, "name": "schema" }, { "id": 1151, "name": "tensorflow_hub" }, { "id": 1161, "name": "official" }, { "id": 1172, "name": "mlperf_loadgen" }, { "id": 1255, "name": "helpers" }, { "id": 1399, "name": "version" }, { "id": 1401, "name": "terminaltables" }, { "id": 1463, "name": "gevent" }, { "id": 1817, "name": "inflect" }, { "id": 1835, "name": "soundfile" }, { "id": 1950, "name": "_pickle" }, { "id": 2151, "name": "preprocessing" }, { "id": 2481, "name": "train" }, { "id": 2489, "name": "pytorch_fid" }, { "id": 2690, "name": "SimpleITK" }, { "id": 2773, "name": "tf_slim" }, { "id": 2796, "name": "optimum" }, { "id": 2843, "name": "deprecated" }, { "id": 2844, "name": "resnest" }, { "id": 2845, "name": "val" }, { "id": 2846, "name": "intel_extension_for_transformers" }, { "id": 2847, "name": "onnxruntime_extensions" }, { "id": 2848, "name": "ilit" }, { "id": 2849, "name": "ntsecuritycon" }, { "id": 2850, "name": "nnUNet" }, { "id": 2851, "name": "onnx_tf" }, { "id": 2852, "name": "intel_pytorch_extension" }, { "id": 2853, "name": "win32security" }, { "id": 2854, "name": "tensorboard_logger" }, { "id": 2855, "name": "org" }, { "id": 2856, "name": "nnunet" }, { "id": 2857, "name": "pretrainedmodels" }, { "id": 2858, "name": "functorch" }, { "id": 2859, "name": "lpot" }, { "id": 2860, "name": "mlperf_compliance" }, { "id": 2861, "name": "jiwer" }, { "id": 2862, "name": "intel_extension_for_tensorflow" }, { "id": 2863, "name": "xlsxwriter" }, { "id": 2864, "name": "_compat_pickle" }, { "id": 2865, "name": "batchgenerators" }, { "id": 2866, "name": "mlperf_logging" }, { "id": 2867, "name": "torch_ccl" }, { "id": 2978, "name": "text_unidecode" }, { "id": 4550, "name": "maskrcnn_benchmark" }, { "id": 4551, "name": "csHelpers" }, { "id": 4552, "name": "detectron" }, { "id": 4610, "name": "decoders" }, { "id": 4611, "name": "model_separable_rnnt" }, { "id": 4612, "name": "sox" }, { "id": 4613, "name": "parts" }, { "id": 4937, "name": "habana_frameworks" }, { "id": 5587, "name": "pyarrow_hotfix" } ], "last_checked_revision": "d216c7e109c632acaa3a6b42b7a66ea43545d070\n" }, { "id": 246, "url": "https://github.com/overmind1980/oeasy-python-tutorial", "description": "\u826f\u5fc3\u7684 Python \u6559\u7a0b\uff0c\u9762\u5411\u96f6\u57fa\u7840\u521d\u5b66\u8005\u7b80\u660e\u6613\u61c2\u7684 Python3 \u5165\u95e8\u57fa\u7840\u8bfe\u7a0b\u3002\u5728linux+vim\u751f\u4ea7\u529b\u73af\u5883\u4e0b\uff0c\u4ece\u6d45\u5165\u6df1\uff0c\u4ece\u7b80\u5355\u7a0b\u5e8f\u5b66\u5230\u7f51\u7edc\u722c\u866b\u3002\u53ef\u4ee5\u914d\u5408\u84dd\u6865\u4e91\u4e0a\u5b9e\u9a8c\u73af\u5883\u64cd\u4f5c\u3002", "stars": 1520, "source_graph_repo_id": 56170389, "dependencies": [ { "id": 271, "name": "db" }, { "id": 292, "name": "flask" }, { "id": 1366, "name": "scrapy" }, { "id": 1493, "name": "psycopg" }, { "id": 3201, "name": "itemadapter" }, { "id": 3202, "name": "user_manager" } ], "last_checked_revision": "39d29dc15274af24392451af0547e904fb256edf\n" }, { "id": 247, "url": "https://github.com/fiatrete/OpenDAN-Personal-AI-OS", "description": "OpenDAN is an open source Personal AI OS , which consolidates various AI modules in one place for your personal use.", "stars": 1370, "source_graph_repo_id": 60971969, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 23, "name": "aiosqlite" }, { "id": 29, "name": "aiohttp" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 57, "name": "llama_index" }, { "id": 72, "name": "jsonschema" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 225, "name": "google_auth_oauthlib" }, { "id": 226, "name": "googleapiclient" }, { "id": 246, "name": "sentence_transformers" }, { "id": 258, "name": "youtube_transcript_api" }, { "id": 408, "name": "socketio" }, { "id": 479, "name": "regex" }, { "id": 698, "name": "pydub" }, { "id": 936, "name": "toml" }, { "id": 1045, "name": "chardet" }, { "id": 1083, "name": "aiofiles" }, { "id": 1121, "name": "stability_sdk" }, { "id": 1392, "name": "moviepy" }, { "id": 1415, "name": "aiosmtplib" }, { "id": 1762, "name": "tweepy" }, { "id": 2042, "name": "telegram" }, { "id": 3931, "name": "rembg" }, { "id": 4228, "name": "tiktoken_async" }, { "id": 4229, "name": "response" }, { "id": 4230, "name": "jarvis" }, { "id": 4685, "name": "base36" }, { "id": 4686, "name": "base58" }, { "id": 4687, "name": "aios_kernel" }, { "id": 4688, "name": "package_manager" }, { "id": 4689, "name": "aioimaplib" }, { "id": 4690, "name": "daemon" }, { "id": 4691, "name": "agent_manager" }, { "id": 4692, "name": "knowledge" }, { "id": 4693, "name": "mailparser" }, { "id": 4694, "name": "ndn_client" } ], "last_checked_revision": "e27c995afebef6b18dd992ccc69327a22cf4ae82\n" }, { "id": 248, "url": "https://github.com/sumerc/yappi", "description": "Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.", "stars": 1303, "source_graph_repo_id": 40124311, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 37, "name": "httpx" }, { "id": 1463, "name": "gevent" }, { "id": 2672, "name": "greenlet" }, { "id": 2673, "name": "_yappi" } ], "last_checked_revision": "942160fe892f5e4beda3bb1cac32d5668b3f6d54\n" }, { "id": 249, "url": "https://github.com/thygate/stable-diffusion-webui-depthmap-script", "description": "High Resolution Depth Maps for Stable Diffusion WebUI", "stars": 1423, "source_graph_repo_id": 59506534, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 71, "name": "cv2" }, { "id": 78, "name": "imageio" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 105, "name": "timm" }, { "id": 111, "name": "einops" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 182, "name": "wandb" }, { "id": 355, "name": "importlib_metadata" }, { "id": 436, "name": "mpl_toolkits" }, { "id": 454, "name": "zoedepth" }, { "id": 457, "name": "launch" }, { "id": 467, "name": "openvino" }, { "id": 470, "name": "midas" }, { "id": 476, "name": "modules" }, { "id": 488, "name": "dominate" }, { "id": 620, "name": "networkx" }, { "id": 640, "name": "numba" }, { "id": 1392, "name": "moviepy" }, { "id": 2418, "name": "av" }, { "id": 3676, "name": "trimesh" }, { "id": 3910, "name": "torchsparse" }, { "id": 3918, "name": "plyfile" }, { "id": 3931, "name": "rembg" }, { "id": 3932, "name": "transforms3d" }, { "id": 3933, "name": "MiDaS" }, { "id": 3934, "name": "imageio_ffmpeg" }, { "id": 3935, "name": "vispy" }, { "id": 3936, "name": "cynetworkx" } ], "last_checked_revision": "5250c8b7ea895a4b15575d17a278c88c38cb2132\n" }, { "id": 250, "url": "https://github.com/alibaba/havenask", "description": "", "stars": 1346, "source_graph_repo_id": 59358891, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 53, "name": "PyPDF2" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 80, "name": "tensorflow" }, { "id": 118, "name": "gradio" }, { "id": 155, "name": "six" }, { "id": 197, "name": "vectorstore" }, { "id": 200, "name": "models" }, { "id": 208, "name": "mdtex2html" }, { "id": 224, "name": "google" }, { "id": 569, "name": "deepdiff" }, { "id": 758, "name": "tokenizer" }, { "id": 866, "name": "util" }, { "id": 1057, "name": "kafka" }, { "id": 2667, "name": "kazoo" }, { "id": 3948, "name": "alibabacloud_ha3engine" }, { "id": 3949, "name": "llm_adapter" }, { "id": 3950, "name": "vulcan" }, { "id": 3951, "name": "extractor" }, { "id": 3952, "name": "Tea" }, { "id": 3953, "name": "embedding" }, { "id": 3954, "name": "build_service" }, { "id": 3955, "name": "setup" }, { "id": 3956, "name": "arpc" }, { "id": 3957, "name": "spliter" }, { "id": 4443, "name": "navi_default_loader" }, { "id": 4444, "name": "file_loader" }, { "id": 4445, "name": "sql_utils" }, { "id": 4446, "name": "hape_libs" }, { "id": 4447, "name": "swift" }, { "id": 4448, "name": "entry_loader" }, { "id": 4449, "name": "snakebite" }, { "id": 4450, "name": "sql_envs" }, { "id": 5241, "name": "hippo_py_sdk" } ], "last_checked_revision": "a8979072ae5caac32bb571d4829c938815c0abd4\n" }, { "id": 251, "url": "https://github.com/awtkns/fastapi-crudrouter", "description": "A dynamic FastAPI router that automatically creates CRUD routes for your models", "stars": 1257, "source_graph_repo_id": 42817363, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 196, "name": "asyncpg" }, { "id": 547, "name": "databases" }, { "id": 734, "name": "pymysql" }, { "id": 1010, "name": "tortoise" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1425, "name": "gino" }, { "id": 1426, "name": "ormar" } ], "last_checked_revision": "9b829865d85113a3f16f94c029502a9a584d47bb\n" }, { "id": 252, "url": "https://github.com/RapidAI/RapidOCR", "description": "A cross platform OCR Library based on PaddleOCR & OnnxRuntime & OpenVINO.", "stars": 1557, "source_graph_repo_id": 42788376, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 155, "name": "six" }, { "id": 184, "name": "utils" }, { "id": 292, "name": "flask" }, { "id": 452, "name": "onnxruntime" }, { "id": 467, "name": "openvino" }, { "id": 471, "name": "shapely" }, { "id": 713, "name": "paddle" }, { "id": 1008, "name": "waitress" }, { "id": 1468, "name": "get_pypi_latest_version" }, { "id": 1469, "name": "rapidocr_openvino" }, { "id": 1470, "name": "rapidocr_web" }, { "id": 1471, "name": "rapidocr_onnxruntime" }, { "id": 1472, "name": "pyclipper" }, { "id": 1473, "name": "rapidocr" }, { "id": 4890, "name": "rapidocr_paddle" } ], "last_checked_revision": "f6865413acea7798c882637c0b45c24a0ba4217f\n" }, { "id": 253, "url": "https://github.com/lobehub/sd-webui-lobe-theme", "description": "\ud83e\udd2f Lobe theme - The modern theme for stable diffusion webui, exquisite interface design, highly customizable UI, and efficiency boosting features.", "stars": 1735, "source_graph_repo_id": 60474329, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 476, "name": "modules" } ], "last_checked_revision": "42f2e9c4471acb9d32346b049bb8517a4b398511\n" }, { "id": 254, "url": "https://github.com/galaxyproject/galaxy", "description": "Data intensive science for everyone.", "stars": 1202, "source_graph_repo_id": 40011963, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 60, "name": "psycopg2" }, { "id": 61, "name": "alembic" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 74, "name": "sentry_sdk" }, { "id": 75, "name": "importlib_resources" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 106, "name": "anyio" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 155, "name": "six" }, { "id": 177, "name": "h5py" }, { "id": 199, "name": "routes" }, { "id": 211, "name": "requests_oauthlib" }, { "id": 215, "name": "cryptography" }, { "id": 218, "name": "lxml" }, { "id": 224, "name": "google" }, { "id": 251, "name": "playwright" }, { "id": 252, "name": "fastapi_utils" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 319, "name": "kombu" }, { "id": 341, "name": "paramiko" }, { "id": 409, "name": "watchdog" }, { "id": 410, "name": "selenium" }, { "id": 463, "name": "tifffile" }, { "id": 479, "name": "regex" }, { "id": 500, "name": "graphql" }, { "id": 509, "name": "docutils" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 548, "name": "markupsafe" }, { "id": 628, "name": "magic" }, { "id": 631, "name": "responses" }, { "id": 643, "name": "Crypto" }, { "id": 667, "name": "sqlparse" }, { "id": 690, "name": "markdown" }, { "id": 737, "name": "pip" }, { "id": 886, "name": "werkzeug" }, { "id": 904, "name": "pulsar" }, { "id": 978, "name": "paste" }, { "id": 1016, "name": "statsd" }, { "id": 1021, "name": "oauthlib" }, { "id": 1028, "name": "ruamel" }, { "id": 1061, "name": "jwt" }, { "id": 1067, "name": "dns" }, { "id": 1105, "name": "fs" }, { "id": 1140, "name": "gunicorn" }, { "id": 1196, "name": "mako" }, { "id": 1242, "name": "Cheetah" }, { "id": 1272, "name": "ldap" }, { "id": 1287, "name": "ldap3" }, { "id": 1343, "name": "pyparsing" }, { "id": 1421, "name": "sqlitedict" }, { "id": 1438, "name": "pebble" }, { "id": 1439, "name": "bleach" }, { "id": 1493, "name": "psycopg" }, { "id": 1539, "name": "webob" }, { "id": 1545, "name": "babel" }, { "id": 1578, "name": "boto" }, { "id": 1623, "name": "weasyprint" }, { "id": 1656, "name": "graphene" }, { "id": 1671, "name": "beaker" }, { "id": 1712, "name": "hvac" }, { "id": 1863, "name": "graphene_sqlalchemy" }, { "id": 1922, "name": "testfixtures" }, { "id": 2005, "name": "rpy2" }, { "id": 2077, "name": "astropy" }, { "id": 2547, "name": "sortedcontainers" }, { "id": 2550, "name": "msal" }, { "id": 2565, "name": "apispec" }, { "id": 2590, "name": "migrate" }, { "id": 2591, "name": "cloudbridge" }, { "id": 2592, "name": "pykwalify" }, { "id": 2593, "name": "Image" }, { "id": 2594, "name": "daemonize" }, { "id": 2595, "name": "bioblend" }, { "id": 2596, "name": "pykube" }, { "id": 2597, "name": "fluent" }, { "id": 2598, "name": "bx" }, { "id": 2599, "name": "pyvirtualdisplay" }, { "id": 2600, "name": "shellescape" }, { "id": 2601, "name": "rpy" }, { "id": 2602, "name": "starlette_context" }, { "id": 2603, "name": "tuswsgi" }, { "id": 2604, "name": "a2wsgi" }, { "id": 2605, "name": "cwl_utils" }, { "id": 2606, "name": "social_core" }, { "id": 2607, "name": "galaxy_utils" }, { "id": 2608, "name": "seletools" }, { "id": 2609, "name": "webdavfs" }, { "id": 2610, "name": "rocrate" }, { "id": 2611, "name": "pylibmagic" }, { "id": 2612, "name": "edam_ontology" }, { "id": 2613, "name": "svgwrite" }, { "id": 2614, "name": "anvilfs" }, { "id": 2615, "name": "bdbag" }, { "id": 2616, "name": "tool_shed_client" }, { "id": 2617, "name": "whoosh" }, { "id": 2618, "name": "galaxy" }, { "id": 2619, "name": "h5grove" }, { "id": 2620, "name": "mrcfile" }, { "id": 2621, "name": "kamaki" }, { "id": 2622, "name": "lagom" }, { "id": 2623, "name": "mockssh" }, { "id": 2624, "name": "gxformat2" }, { "id": 2625, "name": "gravity" }, { "id": 2626, "name": "mir" }, { "id": 2627, "name": "galaxy_test" }, { "id": 2628, "name": "dictobj" }, { "id": 2629, "name": "tusclient" }, { "id": 2630, "name": "mercurial" }, { "id": 2631, "name": "cairo" }, { "id": 2632, "name": "custos" }, { "id": 2633, "name": "cloudauthz" }, { "id": 2634, "name": "pysam" }, { "id": 2635, "name": "isatools" }, { "id": 2636, "name": "ase" }, { "id": 2637, "name": "parsley" }, { "id": 2638, "name": "tool_shed" }, { "id": 2639, "name": "fs_gcsfs" }, { "id": 2640, "name": "cwltest" }, { "id": 2641, "name": "sqlalchemy_schemadisplay" }, { "id": 2642, "name": "refgenconf" }, { "id": 2643, "name": "schema_salad" }, { "id": 2644, "name": "irods" }, { "id": 2645, "name": "axe_selenium_python" }, { "id": 2646, "name": "conda_build" }, { "id": 2647, "name": "conda_package_streaming" }, { "id": 2648, "name": "Gnuplot" }, { "id": 2649, "name": "boltons" }, { "id": 2650, "name": "Bio" }, { "id": 2651, "name": "drmaa" }, { "id": 2652, "name": "anaconda_verify" }, { "id": 2653, "name": "functional" }, { "id": 2654, "name": "pkce" }, { "id": 2655, "name": "fs_basespace" }, { "id": 2656, "name": "cwltool" }, { "id": 2657, "name": "twill" }, { "id": 2658, "name": "past" }, { "id": 2659, "name": "pam" }, { "id": 3841, "name": "pytest_playwright" }, { "id": 4543, "name": "dparse" }, { "id": 4698, "name": "starlette_graphene3" }, { "id": 4795, "name": "toolshed" } ], "last_checked_revision": "fe971b2aa6b8229748526abf99b8071111b9ddbe\n" }, { "id": 255, "url": "https://github.com/aminalaee/sqladmin", "description": "SQLAlchemy Admin for FastAPI and Starlette", "stars": 1370, "source_graph_repo_id": 56792475, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 37, "name": "httpx" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 106, "name": "anyio" }, { "id": 236, "name": "sqlmodel" }, { "id": 548, "name": "markupsafe" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1474, "name": "wtforms" }, { "id": 1475, "name": "colour" }, { "id": 1476, "name": "fastapi_storages" } ], "last_checked_revision": "fadf4d6a91143f877c2a7053879202289b163015\n" }, { "id": 256, "url": "https://github.com/explosion/projects", "description": "\ud83e\ude90 End-to-end NLP workflows from prototype to production", "stars": 1195, "source_graph_repo_id": 39557872, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 127, "name": "tqdm" }, { "id": 154, "name": "datasets" }, { "id": 161, "name": "matplotlib" }, { "id": 182, "name": "wandb" }, { "id": 193, "name": "scripts" }, { "id": 255, "name": "spacy" }, { "id": 455, "name": "prettytable" }, { "id": 623, "name": "more_itertools" }, { "id": 633, "name": "rapidfuzz" }, { "id": 2498, "name": "wasabi" }, { "id": 2499, "name": "thinc" }, { "id": 2500, "name": "spacy_streamlit" }, { "id": 2501, "name": "spacy_transformers" }, { "id": 2502, "name": "flair" }, { "id": 2503, "name": "spacy_experimental" }, { "id": 2504, "name": "compat" }, { "id": 2505, "name": "prodigy" }, { "id": 2506, "name": "srsly" }, { "id": 2507, "name": "wikid" }, { "id": 2508, "name": "floret" }, { "id": 2509, "name": "ufal" }, { "id": 2510, "name": "cfuzzyset" }, { "id": 2511, "name": "skweak" }, { "id": 2512, "name": "stanza" }, { "id": 2513, "name": "nebullvm" }, { "id": 2514, "name": "speedster" } ], "last_checked_revision": "83fb5e4cc40aea9321f4875a46db505deb762c31\n" }, { "id": 257, "url": "https://github.com/pluralsh/plural", "description": "Deploy open source software on Kubernetes in record time. \ud83d\ude80", "stars": 1246, "source_graph_repo_id": 56182574, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 57, "name": "llama_index" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 183, "name": "openai" }, { "id": 243, "name": "html2text" }, { "id": 3223, "name": "docker_registry_client_async" }, { "id": 3224, "name": "webflowpy" }, { "id": 3225, "name": "python_graphql_client" } ], "last_checked_revision": "0f2e4a4685ef68d6920bedff335fa69aaf8173ba\n" }, { "id": 258, "url": "https://github.com/hasura/learn-graphql", "description": "Real world GraphQL tutorials for frontend developers with deadlines!", "stars": 1155, "source_graph_repo_id": 39295910, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 38, "name": "pydantic" }, { "id": 541, "name": "strawberry" }, { "id": 2390, "name": "qlient" } ], "last_checked_revision": "38dcb9a5a54d68ee19be05d6bc6b0d8d3eeb9731\n" }, { "id": 259, "url": "https://github.com/Nemo2011/bilibili-api", "description": "\u54d4\u54e9\u54d4\u54e9\u5e38\u7528API\u8c03\u7528\u3002\u652f\u6301\u89c6\u9891\u3001\u756a\u5267\u3001\u7528\u6237\u3001\u9891\u9053\u3001\u97f3\u9891\u7b49\u529f\u80fd\u3002\u539f\u4ed3\u5e93\u5730\u5740\uff1ahttps://github.com/MoyuScript/bilibili-api", "stars": 1503, "source_graph_repo_id": 57880892, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 929, "name": "yarl" }, { "id": 948, "name": "apscheduler" }, { "id": 1004, "name": "colorama" }, { "id": 1205, "name": "rsa" }, { "id": 1259, "name": "Cryptodome" }, { "id": 1346, "name": "PyQt5" }, { "id": 1355, "name": "brotli" }, { "id": 1862, "name": "qrcode" }, { "id": 2328, "name": "PyQt6" }, { "id": 2732, "name": "PyInstaller" }, { "id": 3776, "name": "qrcode_terminal" } ], "last_checked_revision": "11c33b16003f3111684421fb9ad4cbea5833ef18\n" }, { "id": 260, "url": "https://github.com/huggingface/huggingface_hub", "description": "The official Python client for the Huggingface Hub.", "stars": 1415, "source_graph_repo_id": 42746165, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 73, "name": "jinja2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 105, "name": "timm" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 185, "name": "huggingface_hub" }, { "id": 207, "name": "black" }, { "id": 224, "name": "google" }, { "id": 246, "name": "sentence_transformers" }, { "id": 260, "name": "IPython" }, { "id": 387, "name": "ruff" }, { "id": 425, "name": "fsspec" }, { "id": 442, "name": "filelock" }, { "id": 446, "name": "tensorboardX" }, { "id": 808, "name": "ipywidgets" }, { "id": 936, "name": "toml" }, { "id": 963, "name": "simplejson" }, { "id": 1100, "name": "fastai" }, { "id": 2972, "name": "jedi" }, { "id": 2973, "name": "hf_transfer" }, { "id": 2974, "name": "InquirerPy" }, { "id": 2975, "name": "spacy_huggingface_hub" } ], "last_checked_revision": "c3b2c0301c854b1f1c42beaef9efdf6bee905f70\n" }, { "id": 261, "url": "https://github.com/Checkmk/checkmk", "description": "Checkmk - Best-in-class infrastructure & application monitoring", "stars": 1208, "source_graph_repo_id": 38112972, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 56, "name": "redis" }, { "id": 67, "name": "passlib" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 88, "name": "pexpect" }, { "id": 92, "name": "pymongo" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 135, "name": "pkg_resources" }, { "id": 155, "name": "six" }, { "id": 211, "name": "requests_oauthlib" }, { "id": 215, "name": "cryptography" }, { "id": 218, "name": "lxml" }, { "id": 222, "name": "jira" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 251, "name": "playwright" }, { "id": 272, "name": "bson" }, { "id": 292, "name": "flask" }, { "id": 297, "name": "pysnmp" }, { "id": 313, "name": "mypy_extensions" }, { "id": 335, "name": "_typeshed" }, { "id": 341, "name": "paramiko" }, { "id": 349, "name": "mock" }, { "id": 428, "name": "marshmallow" }, { "id": 430, "name": "urllib3" }, { "id": 447, "name": "svglib" }, { "id": 450, "name": "reportlab" }, { "id": 508, "name": "setproctitle" }, { "id": 539, "name": "pydantic_core" }, { "id": 569, "name": "deepdiff" }, { "id": 597, "name": "docstring_parser" }, { "id": 617, "name": "astroid" }, { "id": 630, "name": "pylint" }, { "id": 631, "name": "responses" }, { "id": 690, "name": "markdown" }, { "id": 778, "name": "docker" }, { "id": 802, "name": "xmltodict" }, { "id": 812, "name": "faker" }, { "id": 886, "name": "werkzeug" }, { "id": 901, "name": "hypothesis" }, { "id": 941, "name": "semver" }, { "id": 946, "name": "pytest_mock" }, { "id": 949, "name": "paho" }, { "id": 953, "name": "freezegun" }, { "id": 963, "name": "simplejson" }, { "id": 968, "name": "MySQLdb" }, { "id": 999, "name": "webtest" }, { "id": 1004, "name": "colorama" }, { "id": 1021, "name": "oauthlib" }, { "id": 1061, "name": "jwt" }, { "id": 1079, "name": "isort" }, { "id": 1134, "name": "kubernetes" }, { "id": 1272, "name": "ldap" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1343, "name": "pyparsing" }, { "id": 1413, "name": "bcrypt" }, { "id": 1414, "name": "fakeredis" }, { "id": 1431, "name": "vcr" }, { "id": 1799, "name": "fido2" }, { "id": 1849, "name": "icalendar" }, { "id": 2335, "name": "feedparser" }, { "id": 2377, "name": "schemathesis" }, { "id": 2557, "name": "meraki" }, { "id": 2558, "name": "adal" }, { "id": 2559, "name": "pyinotify" }, { "id": 2560, "name": "pyasn1" }, { "id": 2561, "name": "activedirectory" }, { "id": 2562, "name": "recurring_ical_events" }, { "id": 2563, "name": "rrdtool" }, { "id": 2564, "name": "tinkerforge" }, { "id": 2565, "name": "apispec" }, { "id": 2566, "name": "win32evtlog" }, { "id": 2567, "name": "pysmi" }, { "id": 2568, "name": "omdlib" }, { "id": 2569, "name": "repoze" }, { "id": 2570, "name": "pyrfc" }, { "id": 2571, "name": "smb" }, { "id": 2572, "name": "dicttoxml" }, { "id": 2573, "name": "telnetlib3" }, { "id": 2574, "name": "dockerpty" }, { "id": 2575, "name": "exchangelib" }, { "id": 2576, "name": "snap7" }, { "id": 2577, "name": "pyghmi" }, { "id": 2578, "name": "mk_jolokia" }, { "id": 2579, "name": "marshmallow_oneofschema" }, { "id": 2580, "name": "opsgenie_sdk" }, { "id": 2581, "name": "agent_receiver" }, { "id": 2582, "name": "apispec_oneofschema" }, { "id": 2583, "name": "openapi_spec_validator" }, { "id": 2584, "name": "pydantic_factories" }, { "id": 2585, "name": "test_pb2" }, { "id": 2586, "name": "pipfile" }, { "id": 2587, "name": "h11" }, { "id": 3673, "name": "polyfactory" }, { "id": 3674, "name": "annotated_types" }, { "id": 4739, "name": "cmk_metrics" }, { "id": 4752, "name": "cmk_graphing" }, { "id": 4753, "name": "werks" }, { "id": 5227, "name": "livestatus" }, { "id": 5248, "name": "pyprof2calltree" }, { "id": 5312, "name": "pytest_metadata" }, { "id": 5588, "name": "mypy_boto3_logs" } ], "last_checked_revision": "0f5801afd1c47c5a68fa32296964c60fc13d87ab\n" }, { "id": 262, "url": "https://github.com/Gozargah/Marzban", "description": "Unified GUI Censorship Resistant Solution Powered by Xray", "stars": 1808, "source_graph_repo_id": 60121688, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 61, "name": "alembic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 96, "name": "rich" }, { "id": 98, "name": "pytz" }, { "id": 106, "name": "anyio" }, { "id": 122, "name": "psutil" }, { "id": 215, "name": "cryptography" }, { "id": 224, "name": "google" }, { "id": 734, "name": "pymysql" }, { "id": 948, "name": "apscheduler" }, { "id": 1059, "name": "decouple" }, { "id": 1189, "name": "genericpath" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1717, "name": "commentjson" }, { "id": 1862, "name": "qrcode" }, { "id": 3965, "name": "telebot" }, { "id": 3970, "name": "rpyc" }, { "id": 3971, "name": "fastapi_responses" }, { "id": 5223, "name": "jdatetime" } ], "last_checked_revision": "1e966053b42dcdb8469d9c53b3bdb6cb5d697410\n" }, { "id": 263, "url": "https://github.com/piccolo-orm/piccolo", "description": "A fast, user friendly ORM and query builder which supports asyncio.", "stars": 1192, "source_graph_repo_id": 41254928, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 23, "name": "aiosqlite" }, { "id": 26, "name": "dateutil" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 38, "name": "pydantic" }, { "id": 73, "name": "jinja2" }, { "id": 108, "name": "inflection" }, { "id": 196, "name": "asyncpg" }, { "id": 207, "name": "black" }, { "id": 260, "name": "IPython" }, { "id": 399, "name": "orjson" }, { "id": 539, "name": "pydantic_core" }, { "id": 1004, "name": "colorama" }, { "id": 1514, "name": "viztracer" }, { "id": 1515, "name": "targ" } ], "last_checked_revision": "17e9448c987b0f320634f5c41e50ba2d1358573b\n" }, { "id": 264, "url": "https://github.com/justpy-org/justpy", "description": "An object oriented high-level Python Web Framework that requires no frontend programming", "stars": 1115, "source_graph_repo_id": 39906166, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 73, "name": "jinja2" }, { "id": 122, "name": "psutil" }, { "id": 161, "name": "matplotlib" }, { "id": 186, "name": "seaborn" }, { "id": 278, "name": "plotly" }, { "id": 400, "name": "altair" }, { "id": 410, "name": "selenium" }, { "id": 445, "name": "pygments" }, { "id": 477, "name": "webdriver_manager" }, { "id": 481, "name": "addict" }, { "id": 690, "name": "markdown" }, { "id": 824, "name": "bokeh" }, { "id": 1083, "name": "aiofiles" }, { "id": 1441, "name": "itsdangerous" }, { "id": 1922, "name": "testfixtures" }, { "id": 2017, "name": "pydeck" }, { "id": 2310, "name": "folium" }, { "id": 2408, "name": "vega_datasets" }, { "id": 2515, "name": "hjson" }, { "id": 2516, "name": "pydevd" }, { "id": 2517, "name": "pydevd_file_utils" }, { "id": 2518, "name": "pandas_datareader" } ], "last_checked_revision": "4b08fc2859fc1b3b198b18fb2a66ce740cc95b34\n" }, { "id": 265, "url": "https://github.com/beir-cellar/beir", "description": "A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.", "stars": 1223, "source_graph_repo_id": 43958145, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 59, "name": "elasticsearch" }, { "id": 80, "name": "tensorflow" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 165, "name": "evaluate" }, { "id": 246, "name": "sentence_transformers" }, { "id": 615, "name": "faiss" }, { "id": 695, "name": "tensorflow_text" }, { "id": 1151, "name": "tensorflow_hub" }, { "id": 1762, "name": "tweepy" }, { "id": 2478, "name": "pytrec_eval" }, { "id": 2787, "name": "pyserini" }, { "id": 3071, "name": "DeepCT" }, { "id": 3072, "name": "tldr" } ], "last_checked_revision": "f062f038c4bfd19a8ca942a9910b1e0d218759d4\n" }, { "id": 266, "url": "https://github.com/CMHopeSunshine/LittlePaimon", "description": "\u5c0f\u6d3e\u8499\uff01\u57fa\u4e8eNonebot2\u7684\u539f\u795e\u673a\u5668\u4eba\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8eUID\u9762\u677f\u67e5\u8be2\u3001\u62bd\u5361\u8bb0\u5f55\u5206\u6790\u3001\u6e38\u620f\u653b\u7565\u56fe\u9274\u3001\u5b9e\u65f6\u4fbf\u7b7e\u3001\u539f\u77f3\u672d\u8bb0\u3001\u7fa4\u804a\u5b66\u4e60\u3001\u7fa4\u7ba1\u7b49\u529f\u80fd\u3002/ LittlePamon! Genshin Impact multifunctional bot based on Nonebot2.", "stars": 1095, "source_graph_repo_id": 57611742, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 21, "name": "ujson" }, { "id": 26, "name": "dateutil" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 73, "name": "jinja2" }, { "id": 82, "name": "PIL" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 149, "name": "jieba" }, { "id": 161, "name": "matplotlib" }, { "id": 218, "name": "lxml" }, { "id": 251, "name": "playwright" }, { "id": 471, "name": "shapely" }, { "id": 948, "name": "apscheduler" }, { "id": 1010, "name": "tortoise" }, { "id": 1028, "name": "ruamel" }, { "id": 1422, "name": "amis" }, { "id": 1481, "name": "nonebot" }, { "id": 1862, "name": "qrcode" }, { "id": 3691, "name": "jieba_fast" } ], "last_checked_revision": "c8d2e6760fc27398175fdf4d1cca2a5474806624\n" }, { "id": 267, "url": "https://github.com/tsileo/microblog.pub", "description": "A self-hosted, single-user, ActivityPub powered microblog.", "stars": 1062, "source_graph_repo_id": 40064553, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 82, "name": "PIL" }, { "id": 156, "name": "tabulate" }, { "id": 243, "name": "html2text" }, { "id": 259, "name": "asgiref" }, { "id": 445, "name": "pygments" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 643, "name": "Crypto" }, { "id": 932, "name": "tomli" }, { "id": 937, "name": "invoke" }, { "id": 974, "name": "cachetools" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1413, "name": "bcrypt" }, { "id": 1435, "name": "sass" }, { "id": 1436, "name": "emoji" }, { "id": 1437, "name": "respx" }, { "id": 1438, "name": "pebble" }, { "id": 1439, "name": "bleach" }, { "id": 1440, "name": "blurhash" }, { "id": 1441, "name": "itsdangerous" }, { "id": 1442, "name": "pyld" }, { "id": 1443, "name": "factory" }, { "id": 1444, "name": "mf2py" }, { "id": 1445, "name": "feedgen" }, { "id": 1446, "name": "tomli_w" }, { "id": 1447, "name": "mistletoe" }, { "id": 1448, "name": "humanize" } ], "last_checked_revision": "9c8693ea555d6363c8e56798df640489fa6b4f44\n" }, { "id": 268, "url": "https://github.com/deforum-art/sd-webui-text2video", "description": "Auto1111 extension implementing text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies", "stars": 1178, "source_graph_repo_id": 60639622, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 71, "name": "cv2" }, { "id": 78, "name": "imageio" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 97, "name": "omegaconf" }, { "id": 107, "name": "ldm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 135, "name": "pkg_resources" }, { "id": 136, "name": "open_clip" }, { "id": 224, "name": "google" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" }, { "id": 1297, "name": "decord" }, { "id": 1728, "name": "mutagen" }, { "id": 1913, "name": "numexpr" }, { "id": 3399, "name": "modelscope" }, { "id": 3921, "name": "webui" }, { "id": 4151, "name": "videocrafter" }, { "id": 4152, "name": "t2v_helpers" }, { "id": 4153, "name": "stable_lora" }, { "id": 4154, "name": "samplers" } ], "last_checked_revision": "6eb8432a1e7a4490cc5ee5ecd30f1d9dd42b08e5\n" }, { "id": 269, "url": "https://github.com/MicrosoftDocs/sql-docs", "description": "Technical documentation for Microsoft SQL Server, tools such as SQL Server Management Studio (SSMS) , SQL Server Data Tools (SSDT) etc.", "stars": 1065, "source_graph_repo_id": 40030105, "dependencies": [], "last_checked_revision": null }, { "id": 270, "url": "https://github.com/s3rius/FastAPI-template", "description": "Feature rich robust FastAPI template.", "stars": 1390, "source_graph_repo_id": 42381402, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 469, "name": "termcolor" }, { "id": 541, "name": "strawberry" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 812, "name": "faker" }, { "id": 1010, "name": "tortoise" }, { "id": 1140, "name": "gunicorn" }, { "id": 2813, "name": "cookiecutter" }, { "id": 2961, "name": "simple_term_menu" }, { "id": 2962, "name": "piccolo" } ], "last_checked_revision": "6eec110f70327666c956039fb192e2ac4355d45b\n" }, { "id": 271, "url": "https://github.com/VOICEVOX/voicevox_engine", "description": "\u7121\u6599\u3067\u4f7f\u3048\u308b\u4e2d\u54c1\u8cea\u306a\u30c6\u30ad\u30b9\u30c8\u8aad\u307f\u4e0a\u3052\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3001VOICEVOX\u306e\u97f3\u58f0\u5408\u6210\u30a8\u30f3\u30b8\u30f3", "stars": 1106, "source_graph_repo_id": 55506082, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 140, "name": "scipy" }, { "id": 613, "name": "platformdirs" }, { "id": 941, "name": "semver" }, { "id": 1813, "name": "pyworld" }, { "id": 1835, "name": "soundfile" }, { "id": 2531, "name": "appdirs" }, { "id": 3173, "name": "pyopenjtalk" }, { "id": 3189, "name": "syrupy" }, { "id": 4636, "name": "soxr" } ], "last_checked_revision": "b4bc5b054666dd91d380ae677eadc298dbf6da67\n" }, { "id": 272, "url": "https://github.com/GoodManWEN/GoodManWEN.github.io", "description": "\ud83d\udcd5 A website simulating linux system's GUI, using theme of Deepin distro. \u7f51\u9875\u6a21\u62df\u684c\u9762", "stars": 1045, "source_graph_repo_id": 44888458, "dependencies": [], "last_checked_revision": null }, { "id": 273, "url": "https://github.com/widgetti/solara", "description": "A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps", "stars": 1361, "source_graph_repo_id": 58576077, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 50, "name": "tiktoken" }, { "id": 56, "name": "redis" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 106, "name": "anyio" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 224, "name": "google" }, { "id": 249, "name": "authlib" }, { "id": 251, "name": "playwright" }, { "id": 260, "name": "IPython" }, { "id": 278, "name": "plotly" }, { "id": 292, "name": "flask" }, { "id": 400, "name": "altair" }, { "id": 409, "name": "watchdog" }, { "id": 442, "name": "filelock" }, { "id": 445, "name": "pygments" }, { "id": 548, "name": "markupsafe" }, { "id": 574, "name": "websockets" }, { "id": 808, "name": "ipywidgets" }, { "id": 886, "name": "werkzeug" }, { "id": 909, "name": "tornado" }, { "id": 935, "name": "flask_sock" }, { "id": 940, "name": "simple_websocket" }, { "id": 974, "name": "cachetools" }, { "id": 1012, "name": "traitlets" }, { "id": 1017, "name": "jupyter_core" }, { "id": 1023, "name": "jupyter_server" }, { "id": 1024, "name": "notebook" }, { "id": 1026, "name": "jupyter_client" }, { "id": 1073, "name": "diskcache" }, { "id": 1117, "name": "watchfiles" }, { "id": 1308, "name": "slugify" }, { "id": 1377, "name": "zmq" }, { "id": 1441, "name": "itsdangerous" }, { "id": 1448, "name": "humanize" }, { "id": 1514, "name": "viztracer" }, { "id": 1560, "name": "nbformat" }, { "id": 2006, "name": "comm" }, { "id": 2020, "name": "js" }, { "id": 2022, "name": "reacton" }, { "id": 2032, "name": "markdown_it" }, { "id": 2035, "name": "mdit_py_plugins" }, { "id": 2038, "name": "ipykernel" }, { "id": 2059, "name": "bqplot" }, { "id": 2063, "name": "vaex" }, { "id": 2068, "name": "ipyvuetify" }, { "id": 2069, "name": "ipyvue" }, { "id": 2310, "name": "folium" }, { "id": 2408, "name": "vega_datasets" }, { "id": 3142, "name": "hatchling" }, { "id": 3670, "name": "rich_click" }, { "id": 3839, "name": "bqplot_image_gl" }, { "id": 3840, "name": "pymdownx" }, { "id": 3841, "name": "pytest_playwright" }, { "id": 3842, "name": "micropip" }, { "id": 3843, "name": "solara_enterprise" }, { "id": 3844, "name": "react_ipywidgets" }, { "id": 3845, "name": "pixelmatch" }, { "id": 5247, "name": "matplotlib_inline" } ], "last_checked_revision": "f8872721aa318935ab511bfb26c494ac007f5bdc\n" }, { "id": 274, "url": "https://github.com/dapr/docs", "description": "Dapr user documentation, used to build docs.dapr.io", "stars": 983, "source_graph_repo_id": 39365710, "dependencies": [ { "id": 2497, "name": "dapr" } ], "last_checked_revision": "10071922d927ea3733927332367fb4974635293e\n" }, { "id": 275, "url": "https://github.com/dunossauro/live-de-python", "description": "Reposit\u00f3rio das lives de python semanais", "stars": 1038, "source_graph_repo_id": 41865499, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 54, "name": "loguru" }, { "id": 61, "name": "alembic" }, { "id": 62, "name": "app" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 74, "name": "sentry_sdk" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 106, "name": "anyio" }, { "id": 122, "name": "psutil" }, { "id": 145, "name": "fire" }, { "id": 161, "name": "matplotlib" }, { "id": 190, "name": "locust" }, { "id": 200, "name": "models" }, { "id": 236, "name": "sqlmodel" }, { "id": 251, "name": "playwright" }, { "id": 255, "name": "spacy" }, { "id": 292, "name": "flask" }, { "id": 334, "name": "bpy" }, { "id": 348, "name": "django" }, { "id": 380, "name": "core" }, { "id": 410, "name": "selenium" }, { "id": 428, "name": "marshmallow" }, { "id": 495, "name": "Cython" }, { "id": 541, "name": "strawberry" }, { "id": 543, "name": "peewee" }, { "id": 547, "name": "databases" }, { "id": 559, "name": "markdownify" }, { "id": 592, "name": "dash" }, { "id": 698, "name": "pydub" }, { "id": 754, "name": "librosa" }, { "id": 772, "name": "config" }, { "id": 796, "name": "pygame" }, { "id": 812, "name": "faker" }, { "id": 813, "name": "chalice" }, { "id": 886, "name": "werkzeug" }, { "id": 901, "name": "hypothesis" }, { "id": 919, "name": "pyramid" }, { "id": 923, "name": "bottle" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1059, "name": "decouple" }, { "id": 1060, "name": "pendulum" }, { "id": 1068, "name": "docx" }, { "id": 1083, "name": "aiofiles" }, { "id": 1236, "name": "zope" }, { "id": 1256, "name": "rest_framework" }, { "id": 1346, "name": "PyQt5" }, { "id": 1366, "name": "scrapy" }, { "id": 1392, "name": "moviepy" }, { "id": 1423, "name": "pyrogram" }, { "id": 1431, "name": "vcr" }, { "id": 1443, "name": "factory" }, { "id": 1452, "name": "ipdb" }, { "id": 1474, "name": "wtforms" }, { "id": 1484, "name": "tinydb" }, { "id": 1519, "name": "_collections_abc" }, { "id": 1723, "name": "plyer" }, { "id": 1755, "name": "openpyxl" }, { "id": 1764, "name": "googletrans" }, { "id": 2216, "name": "cx_Freeze" }, { "id": 2255, "name": "appium" }, { "id": 2271, "name": "flask_wtf" }, { "id": 2289, "name": "dj_database_url" }, { "id": 2292, "name": "flask_restx" }, { "id": 2303, "name": "browser" }, { "id": 2335, "name": "feedparser" }, { "id": 2359, "name": "behave" }, { "id": 2368, "name": "transaction" }, { "id": 2457, "name": "memory_profiler" }, { "id": 2474, "name": "cython" }, { "id": 2825, "name": "PySide6" }, { "id": 2896, "name": "dash_core_components" }, { "id": 2911, "name": "dashing" }, { "id": 2912, "name": "live_143" }, { "id": 2913, "name": "ezodf" }, { "id": 2914, "name": "astmonkey" }, { "id": 2915, "name": "srt" }, { "id": 2916, "name": "minha_outra_lib" }, { "id": 2917, "name": "aiometer" }, { "id": 2918, "name": "myproject" }, { "id": 2919, "name": "expects" }, { "id": 2920, "name": "pyramid_cornice" }, { "id": 2921, "name": "livros" }, { "id": 2922, "name": "pygubu" }, { "id": 2923, "name": "ttkthemes" }, { "id": 2924, "name": "cornice" }, { "id": 2925, "name": "_locust" }, { "id": 2926, "name": "ezdxf" }, { "id": 2927, "name": "kivy" }, { "id": 2928, "name": "minha_lib" }, { "id": 2929, "name": "hello_world" }, { "id": 2930, "name": "vosk" }, { "id": 2931, "name": "scapy" }, { "id": 2932, "name": "orm" }, { "id": 2933, "name": "sfp" }, { "id": 2934, "name": "bananas" }, { "id": 2935, "name": "trio" }, { "id": 2936, "name": "toga" }, { "id": 2937, "name": "qdarktheme" }, { "id": 2938, "name": "problemas" }, { "id": 2939, "name": "pdfminer" }, { "id": 2940, "name": "flask_pydantic_spec" }, { "id": 2941, "name": "bdd_tests" }, { "id": 2942, "name": "pathlib3x" }, { "id": 2943, "name": "mamba" }, { "id": 2944, "name": "rest_framework_swagger" }, { "id": 2945, "name": "ttkbootstrap" }, { "id": 2946, "name": "funcy" }, { "id": 2947, "name": "run" }, { "id": 2948, "name": "PySimpleGUI" }, { "id": 2949, "name": "bagulho" }, { "id": 2950, "name": "fausto" }, { "id": 2951, "name": "textual" }, { "id": 2952, "name": "PySimpleGUIWeb" }, { "id": 2953, "name": "kivymd" }, { "id": 2954, "name": "rocketry" }, { "id": 2955, "name": "streamlit_ace" }, { "id": 2956, "name": "ursina" }, { "id": 2957, "name": "parsel" }, { "id": 2958, "name": "eliot" }, { "id": 2959, "name": "aiopath" }, { "id": 2960, "name": "dash_html_components" } ], "last_checked_revision": "839d5ac7076d1f233777714fac21bf2309ff7275\n" }, { "id": 276, "url": "https://github.com/jtsang4/claude-to-chatgpt", "description": "This project converts the API of Anthropic's Claude model to the OpenAI Chat API format.", "stars": 1082, "source_graph_repo_id": 60964854, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 50, "name": "tiktoken" } ], "last_checked_revision": "04a6739838a250cba3add0e0228b0b4a92267b71\n" }, { "id": 277, "url": "https://github.com/ddPn08/Radiata", "description": "Stable diffusion webui based on diffusers.", "stars": 980, "source_graph_repo_id": 60233375, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 38, "name": "pydantic" }, { "id": 82, "name": "PIL" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 158, "name": "diffusers" }, { "id": 185, "name": "huggingface_hub" }, { "id": 468, "name": "onnx" }, { "id": 524, "name": "tensorrt" }, { "id": 936, "name": "toml" }, { "id": 3720, "name": "cuda" }, { "id": 4052, "name": "polygraphy" }, { "id": 4053, "name": "onnx_graphsurgeon" }, { "id": 4054, "name": "lycoris" } ], "last_checked_revision": "e243df9b776bb73c6bdbb18f7fad258ffc3bd62e\n" }, { "id": 278, "url": "https://github.com/BMW-InnovationLab/BMW-TensorFlow-Training-GUI", "description": "This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.", "stars": 953, "source_graph_repo_id": 39668380, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 72, "name": "jsonschema" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 140, "name": "scipy" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 224, "name": "google" }, { "id": 245, "name": "absl" }, { "id": 260, "name": "IPython" }, { "id": 349, "name": "mock" }, { "id": 414, "name": "GPUtil" }, { "id": 640, "name": "numba" }, { "id": 778, "name": "docker" }, { "id": 837, "name": "shared" }, { "id": 1150, "name": "object_detection" }, { "id": 1613, "name": "dependency_injector" }, { "id": 2773, "name": "tf_slim" }, { "id": 2774, "name": "inference" }, { "id": 2775, "name": "application" }, { "id": 2776, "name": "pymage_size" }, { "id": 2777, "name": "containers" }, { "id": 2778, "name": "domain" } ], "last_checked_revision": "3d7668b69fc0d29be61bd6b5d08987f854e13504\n" }, { "id": 279, "url": "https://github.com/dapr/quickstarts", "description": "Dapr quickstart code samples and tutorials showcasing core Dapr capabilities", "stars": 977, "source_graph_repo_id": 39365766, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 292, "name": "flask" }, { "id": 587, "name": "flask_cors" }, { "id": 2240, "name": "cloudevents" }, { "id": 2497, "name": "dapr" } ], "last_checked_revision": "c7f5100b0afd6a8b6e8be8197a20390092e25bd5\n" }, { "id": 280, "url": "https://github.com/psychic-api/rag-stack", "description": "\ud83e\udd16 Deploy a private ChatGPT alternative hosted within your VPC. \ud83d\udd2e Connect it to your organization's knowledge base and use it as a corporate oracle. Supports open-source LLMs like Llama 2, Falcon, and GPT4All.", "stars": 1290, "source_graph_repo_id": 61366921, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 48, "name": "supabase" }, { "id": 51, "name": "qdrant_client" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 195, "name": "llm" }, { "id": 197, "name": "vectorstore" }, { "id": 200, "name": "models" }, { "id": 206, "name": "langchain" }, { "id": 246, "name": "sentence_transformers" }, { "id": 611, "name": "fitz" }, { "id": 639, "name": "whisper" }, { "id": 1107, "name": "msgpack" }, { "id": 1123, "name": "common" }, { "id": 1617, "name": "pythonjsonlogger" }, { "id": 1970, "name": "msgpack_numpy" }, { "id": 2385, "name": "database" }, { "id": 3846, "name": "model_wrapper" }, { "id": 4048, "name": "connectors" }, { "id": 4050, "name": "strenum" }, { "id": 4314, "name": "truss" }, { "id": 4315, "name": "storage3" } ], "last_checked_revision": "265d938c67302b2ff35de3f9aed7dab3fc1a36f6\n" }, { "id": 281, "url": "https://github.com/JohnSnowLabs/spark-nlp-workshop", "description": "Public runnable examples of using John Snow Labs' NLP for Apache Spark.", "stars": 967, "source_graph_repo_id": 37221480, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 218, "name": "lxml" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 292, "name": "flask" }, { "id": 429, "name": "wget" }, { "id": 476, "name": "modules" }, { "id": 819, "name": "pyspark" }, { "id": 857, "name": "keras" }, { "id": 1707, "name": "flask_bootstrap" }, { "id": 1997, "name": "johnsnowlabs" }, { "id": 2380, "name": "gdown" }, { "id": 2814, "name": "sparkocr" }, { "id": 2815, "name": "streamlit_apps_config" }, { "id": 2816, "name": "chatgpt_wrapper" }, { "id": 2817, "name": "sparknlp" }, { "id": 2818, "name": "sparknlp_display" }, { "id": 2819, "name": "SessionState" }, { "id": 2820, "name": "pyaml_env" }, { "id": 2821, "name": "streamlit_ner_output" }, { "id": 2822, "name": "sparknlp_jsl" } ], "last_checked_revision": "106830b62453d7fcf9414bb05fcf2176ed61cb42\n" }, { "id": 282, "url": "https://github.com/UKPLab/EasyNMT", "description": "Easy to use, state-of-the-art Neural Machine Translation for 100+ languages", "stars": 1001, "source_graph_repo_id": 42925487, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 627, "name": "langdetect" }, { "id": 798, "name": "fasttext" }, { "id": 1370, "name": "thai_segmenter" }, { "id": 1371, "name": "http3" }, { "id": 1372, "name": "langid" } ], "last_checked_revision": "d9db97fbd780cd8c607769e048d7bcdcff6eb709\n" }, { "id": 283, "url": "https://github.com/carefree0910/carefree-drawboard", "description": "\ud83c\udfa8 Infinite Drawboard in Python", "stars": 926, "source_graph_repo_id": 60824986, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 158, "name": "diffusers" }, { "id": 479, "name": "regex" }, { "id": 1565, "name": "lorem_text" }, { "id": 3883, "name": "cftool" }, { "id": 3884, "name": "cflearn" }, { "id": 4200, "name": "cfcreator" } ], "last_checked_revision": "c058e0c2ab03b72bacab15e067da4c9009adfc7e\n" }, { "id": 284, "url": "https://github.com/nod-ai/SHARK", "description": "SHARK - High Performance Machine Learning Distribution", "stars": 1274, "source_graph_repo_id": 57614712, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 71, "name": "cv2" }, { "id": 77, "name": "dotenv" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 97, "name": "omegaconf" }, { "id": 105, "name": "timm" }, { "id": 111, "name": "einops" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 130, "name": "safetensors" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 145, "name": "fire" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 178, "name": "peft" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 200, "name": "models" }, { "id": 203, "name": "pypandoc" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 245, "name": "absl" }, { "id": 246, "name": "sentence_transformers" }, { "id": 370, "name": "dask" }, { "id": 410, "name": "selenium" }, { "id": 418, "name": "joblib" }, { "id": 430, "name": "urllib3" }, { "id": 438, "name": "cpuinfo" }, { "id": 442, "name": "filelock" }, { "id": 452, "name": "onnxruntime" }, { "id": 509, "name": "docutils" }, { "id": 513, "name": "auto_gptq" }, { "id": 518, "name": "gpt4all" }, { "id": 519, "name": "sentencepiece" }, { "id": 521, "name": "jsonlines" }, { "id": 632, "name": "posthog" }, { "id": 743, "name": "parameterized" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 849, "name": "jax" }, { "id": 896, "name": "llama_cpp" }, { "id": 1084, "name": "webview" }, { "id": 1161, "name": "official" }, { "id": 1386, "name": "sacrebleu" }, { "id": 1990, "name": "textstat" }, { "id": 2042, "name": "telegram" }, { "id": 2202, "name": "better_profanity" }, { "id": 2409, "name": "gradio_client" }, { "id": 2732, "name": "PyInstaller" }, { "id": 3655, "name": "torchdynamo" }, { "id": 3709, "name": "brevitas" }, { "id": 3710, "name": "mwparserfromhell" }, { "id": 3711, "name": "CLIP" }, { "id": 3712, "name": "text_generation" }, { "id": 3713, "name": "iree" }, { "id": 3714, "name": "brevitas_examples" }, { "id": 3715, "name": "shark_tuner" }, { "id": 3716, "name": "torch_mlir_e2e_test" }, { "id": 3717, "name": "profanity_check" }, { "id": 3718, "name": "diffusion" }, { "id": 3719, "name": "MEGABYTE_pytorch" }, { "id": 3720, "name": "cuda" }, { "id": 3721, "name": "torchrec" }, { "id": 3722, "name": "finetune" }, { "id": 3723, "name": "requests_file" }, { "id": 3724, "name": "tensorflow_models" }, { "id": 3725, "name": "mwxml" }, { "id": 3726, "name": "lit" }, { "id": 3727, "name": "torch_mlir" }, { "id": 3728, "name": "shark_hf_opt" }, { "id": 3729, "name": "h2oaicore" }, { "id": 3730, "name": "gpt_langchain" }, { "id": 5190, "name": "turbine_models" } ], "last_checked_revision": "fa95ed30d1f33e64579019b48337a39c6822dfbb\n" }, { "id": 285, "url": "https://github.com/li-plus/chatglm.cpp", "description": "C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & more LLMs", "stars": 2046, "source_graph_repo_id": 61152818, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 82, "name": "PIL" }, { "id": 86, "name": "sse_starlette" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 156, "name": "tabulate" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 538, "name": "pydantic_settings" }, { "id": 910, "name": "ninja" }, { "id": 1026, "name": "jupyter_client" }, { "id": 4251, "name": "modeling_chatglm" }, { "id": 4252, "name": "convert" }, { "id": 4455, "name": "modeling_baichuan" }, { "id": 4891, "name": "modeling_internlm" } ], "last_checked_revision": "3286db5306c5d3245ea147082e69313010617a92\n" }, { "id": 286, "url": "https://github.com/girlscript/winter-of-contributing", "description": "GirlScript Winter of Contributing is a three-month-long Open-Source Program organized by\ud83e\udde1GirlScript Foundation to create the world's largest multilingual content repository that will be available to everyone. ", "stars": 883, "source_graph_repo_id": 55729373, "dependencies": [ { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 161, "name": "matplotlib" }, { "id": 490, "name": "imutils" } ], "last_checked_revision": "8632c74d0c2d55bb4fddee9d6faac30159f376e1\n" }, { "id": 287, "url": "https://github.com/GoogleCloudPlatform/vertex-ai-samples", "description": "Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud", "stars": 1129, "source_graph_repo_id": 50342198, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 31, "name": "yaml" }, { "id": 71, "name": "cv2" }, { "id": 78, "name": "imageio" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 105, "name": "timm" }, { "id": 127, "name": "tqdm" }, { "id": 136, "name": "open_clip" }, { "id": 139, "name": "model" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 165, "name": "evaluate" }, { "id": 178, "name": "peft" }, { "id": 224, "name": "google" }, { "id": 245, "name": "absl" }, { "id": 292, "name": "flask" }, { "id": 419, "name": "torchmetrics" }, { "id": 429, "name": "wget" }, { "id": 491, "name": "data" }, { "id": 657, "name": "pycocotools" }, { "id": 689, "name": "src" }, { "id": 860, "name": "ts" }, { "id": 864, "name": "trainer" }, { "id": 866, "name": "util" }, { "id": 893, "name": "smart_open" }, { "id": 1008, "name": "waitress" }, { "id": 1094, "name": "detectron2" }, { "id": 1150, "name": "object_detection" }, { "id": 1151, "name": "tensorflow_hub" }, { "id": 1156, "name": "ml_collections" }, { "id": 1161, "name": "official" }, { "id": 1167, "name": "apache_beam" }, { "id": 1583, "name": "webdataset" }, { "id": 2093, "name": "gin" }, { "id": 2157, "name": "kfp" }, { "id": 2189, "name": "hypertune" }, { "id": 3070, "name": "trl" }, { "id": 3174, "name": "data_converter" }, { "id": 3175, "name": "movinet" }, { "id": 3176, "name": "tf_agents" }, { "id": 3177, "name": "google3" }, { "id": 3178, "name": "video_util" }, { "id": 3179, "name": "eval_utils" }, { "id": 3180, "name": "params" }, { "id": 3181, "name": "keras_cv" }, { "id": 4382, "name": "bytetracker" }, { "id": 4670, "name": "vit_jax" }, { "id": 4671, "name": "tfvision" }, { "id": 4892, "name": "imagebind" } ], "last_checked_revision": "f90d4f59c074df25dd15b0a98cfd5bc961706133\n" }, { "id": 288, "url": "https://github.com/Tongjilibo/bert4torch", "description": "An elegent pytorch implement of transformers", "stars": 997, "source_graph_repo_id": 57556742, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 59, "name": "elasticsearch" }, { "id": 80, "name": "tensorflow" }, { "id": 85, "name": "tritonclient" }, { "id": 86, "name": "sse_starlette" }, { "id": 87, "name": "tokenizers" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 147, "name": "sanic" }, { "id": 149, "name": "jieba" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 166, "name": "rouge_chinese" }, { "id": 177, "name": "h5py" }, { "id": 178, "name": "peft" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 208, "name": "mdtex2html" }, { "id": 246, "name": "sentence_transformers" }, { "id": 264, "name": "sseclient" }, { "id": 292, "name": "flask" }, { "id": 355, "name": "importlib_metadata" }, { "id": 432, "name": "torchinfo" }, { "id": 446, "name": "tensorboardX" }, { "id": 452, "name": "onnxruntime" }, { "id": 468, "name": "onnx" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 519, "name": "sentencepiece" }, { "id": 521, "name": "jsonlines" }, { "id": 660, "name": "colorlog" }, { "id": 689, "name": "src" }, { "id": 720, "name": "rouge" }, { "id": 723, "name": "editdistance" }, { "id": 857, "name": "keras" }, { "id": 889, "name": "func_timeout" }, { "id": 923, "name": "bottle" }, { "id": 1004, "name": "colorama" }, { "id": 1028, "name": "ruamel" }, { "id": 1347, "name": "recommonmark" }, { "id": 1628, "name": "cpm_kernels" }, { "id": 2026, "name": "sympy" }, { "id": 3070, "name": "trl" }, { "id": 3090, "name": "thefuzz" }, { "id": 3586, "name": "torch_scatter" }, { "id": 3705, "name": "torch4keras" }, { "id": 3706, "name": "cchess" } ], "last_checked_revision": "f53c601a4be2936cf14d64654b5f5352e104e95e\n" }, { "id": 289, "url": "https://github.com/ViperX7/Alpaca-Turbo", "description": "Web UI to run alpaca model locally", "stars": 877, "source_graph_repo_id": 60654288, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 88, "name": "pexpect" }, { "id": 96, "name": "rich" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 259, "name": "asgiref" }, { "id": 266, "name": "discord" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 408, "name": "socketio" }, { "id": 587, "name": "flask_cors" }, { "id": 879, "name": "flask_socketio" }, { "id": 1004, "name": "colorama" }, { "id": 1256, "name": "rest_framework" }, { "id": 1305, "name": "flet" }, { "id": 1528, "name": "channels" } ], "last_checked_revision": "0b98ffee7b50a95b9123b82945b5c36898dbaca9\n" }, { "id": 290, "url": "https://github.com/slackapi/bolt-python", "description": "A framework to build Slack apps using Python", "stars": 917, "source_graph_repo_id": 41753129, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 68, "name": "sqlalchemy" }, { "id": 81, "name": "boto3" }, { "id": 147, "name": "sanic" }, { "id": 210, "name": "slack_sdk" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 547, "name": "databases" }, { "id": 794, "name": "moto" }, { "id": 813, "name": "chalice" }, { "id": 909, "name": "tornado" }, { "id": 913, "name": "cherrypy" }, { "id": 919, "name": "pyramid" }, { "id": 923, "name": "bottle" }, { "id": 926, "name": "falcon" }, { "id": 1463, "name": "gevent" }, { "id": 2429, "name": "geventwebsocket" }, { "id": 2809, "name": "simple_app" }, { "id": 2810, "name": "boddle" }, { "id": 2811, "name": "flask_sockets" }, { "id": 2812, "name": "oauth_app" } ], "last_checked_revision": "5e63905ef3161dfe523a4415cc3d6aa807f31763\n" }, { "id": 291, "url": "https://github.com/ahmetoner/whisper-asr-webservice", "description": "OpenAI Whisper ASR Webservice API", "stars": 1223, "source_graph_repo_id": 59193611, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 639, "name": "whisper" }, { "id": 1382, "name": "ffmpeg" }, { "id": 1629, "name": "faster_whisper" }, { "id": 1630, "name": "ctranslate2" } ], "last_checked_revision": "bc3ba376390febe7c8f851abf6c1910e6bad8dcb\n" }, { "id": 292, "url": "https://github.com/Eventual-Inc/Daft", "description": "Distributed DataFrames for Python designed for the cloud, powered by Rust", "stars": 983, "source_graph_repo_id": 59097768, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 35, "name": "slowapi" }, { "id": 47, "name": "tenacity" }, { "id": 54, "name": "loguru" }, { "id": 71, "name": "cv2" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 98, "name": "pytz" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 223, "name": "botocore" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 370, "name": "dask" }, { "id": 425, "name": "fsspec" }, { "id": 565, "name": "s3fs" }, { "id": 598, "name": "torchdata" }, { "id": 606, "name": "adlfs" }, { "id": 819, "name": "pyspark" }, { "id": 901, "name": "hypothesis" }, { "id": 909, "name": "tornado" }, { "id": 936, "name": "toml" }, { "id": 1316, "name": "xxhash" }, { "id": 1376, "name": "pytest_cov" }, { "id": 1514, "name": "viztracer" }, { "id": 1516, "name": "flytekitplugins" }, { "id": 1517, "name": "opcode" }, { "id": 1518, "name": "pydot" }, { "id": 1519, "name": "_collections_abc" }, { "id": 1520, "name": "flytekit" }, { "id": 1521, "name": "pickle5" }, { "id": 1556, "name": "gcsfs" }, { "id": 4893, "name": "pyiceberg" } ], "last_checked_revision": "94bb3704045f6e4383b909dbf319fec42957910c\n" }, { "id": 293, "url": "https://github.com/cheshire-cat-ai/core", "description": "Production ready AI assistant framework", "stars": 1392, "source_graph_repo_id": 60383353, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 51, "name": "qdrant_client" }, { "id": 54, "name": "loguru" }, { "id": 206, "name": "langchain" }, { "id": 373, "name": "tests" }, { "id": 932, "name": "tomli" }, { "id": 1308, "name": "slugify" }, { "id": 1484, "name": "tinydb" }, { "id": 4136, "name": "cat" } ], "last_checked_revision": "e6eabe6706ae810f66cf4ca0024e3d65824e0490\n" }, { "id": 294, "url": "https://github.com/IrisRainbowNeko/DreamArtist-stable-diffusion", "description": "stable diffusion webui with contrastive prompt tuning", "stars": 867, "source_graph_repo_id": 59343210, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 93, "name": "gfpgan" }, { "id": 94, "name": "clip" }, { "id": 97, "name": "omegaconf" }, { "id": 98, "name": "pytz" }, { "id": 99, "name": "facexlib" }, { "id": 105, "name": "timm" }, { "id": 107, "name": "ldm" }, { "id": 108, "name": "inflection" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 113, "name": "facelib" }, { "id": 114, "name": "xformers" }, { "id": 118, "name": "gradio" }, { "id": 119, "name": "basicsr" }, { "id": 121, "name": "lark" }, { "id": 122, "name": "psutil" }, { "id": 123, "name": "piexif" }, { "id": 124, "name": "git" }, { "id": 126, "name": "_codecs" }, { "id": 127, "name": "tqdm" }, { "id": 128, "name": "k_diffusion" }, { "id": 129, "name": "skimage" }, { "id": 134, "name": "realesrgan" }, { "id": 158, "name": "diffusers" }, { "id": 3054, "name": "pyngrok" }, { "id": 3924, "name": "fonts" }, { "id": 3925, "name": "deepdanbooru" } ], "last_checked_revision": "60b4daebd10fe19455da27e991ac9b4baa223d3f\n" }, { "id": 295, "url": "https://github.com/art049/odmantic", "description": "Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints", "stars": 916, "source_graph_repo_id": 42193196, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 92, "name": "pymongo" }, { "id": 98, "name": "pytz" }, { "id": 272, "name": "bson" }, { "id": 349, "name": "mock" }, { "id": 355, "name": "importlib_metadata" }, { "id": 539, "name": "pydantic_core" }, { "id": 1007, "name": "motor" }, { "id": 1411, "name": "async_asgi_testclient" }, { "id": 1427, "name": "typing_utils" }, { "id": 5579, "name": "inline_snapshot" } ], "last_checked_revision": "6bc539ac4d61190a6a87bafb6111014e178e6234\n" }, { "id": 296, "url": "https://github.com/QAX-A-Team/LuWu", "description": "\u7ea2\u961f\u57fa\u7840\u8bbe\u65bd\u81ea\u52a8\u5316\u90e8\u7f72\u5de5\u5177", "stars": 836, "source_graph_repo_id": 37791138, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 38, "name": "pydantic" }, { "id": 61, "name": "alembic" }, { "id": 66, "name": "celery" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 98, "name": "pytz" }, { "id": 179, "name": "fabric" }, { "id": 184, "name": "utils" }, { "id": 200, "name": "models" }, { "id": 218, "name": "lxml" }, { "id": 271, "name": "db" }, { "id": 341, "name": "paramiko" }, { "id": 380, "name": "core" }, { "id": 612, "name": "pytesseract" }, { "id": 1054, "name": "schemas" }, { "id": 1061, "name": "jwt" }, { "id": 1570, "name": "digitalocean" }, { "id": 1614, "name": "api" }, { "id": 1914, "name": "aliyunsdkecs" }, { "id": 1954, "name": "aliyunsdkcore" }, { "id": 2120, "name": "tasks" }, { "id": 2121, "name": "tencentcloud" }, { "id": 2122, "name": "namesilo" }, { "id": 2123, "name": "vultr" }, { "id": 2124, "name": "libs" }, { "id": 2125, "name": "python_terraform" }, { "id": 2126, "name": "crud" }, { "id": 2127, "name": "terrascript" } ], "last_checked_revision": "c96e3b25992ff5300ff76b6bf82f3d75a15c8477\n" }, { "id": 297, "url": "https://github.com/piglei/ai-vocabulary-builder", "description": "\u4e00\u4e2a\u4f7f\u7528\u4e86 AI \u6280\u672f\u7684\u667a\u80fd\u751f\u8bcd\u672c\u5de5\u5177\uff0c\u7279\u8272\u529f\u80fd\uff1a\u81ea\u52a8\u6dfb\u52a0\u751f\u8bcd\u3001\u8bfb\u6545\u4e8b\u52a9\u8bb0\u5355\u8bcd\u3002", "stars": 860, "source_graph_repo_id": 60494268, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 76, "name": "click" }, { "id": 86, "name": "sse_starlette" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 135, "name": "pkg_resources" }, { "id": 183, "name": "openai" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 737, "name": "pip" }, { "id": 1060, "name": "pendulum" }, { "id": 1484, "name": "tinydb" }, { "id": 1485, "name": "questionary" } ], "last_checked_revision": "def04e03f64919ab7f3bd6cdfe947bba34951f10\n" }, { "id": 298, "url": "https://github.com/lnbits/lnbits", "description": "LNbits, free and open-source Lightning wallet and accounts system.", "stars": 910, "source_graph_repo_id": 39944140, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 35, "name": "slowapi" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 54, "name": "loguru" }, { "id": 60, "name": "psycopg2" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 86, "name": "sse_starlette" }, { "id": 115, "name": "packaging" }, { "id": 183, "name": "openai" }, { "id": 214, "name": "json5" }, { "id": 215, "name": "cryptography" }, { "id": 224, "name": "google" }, { "id": 227, "name": "websocket" }, { "id": 349, "name": "mock" }, { "id": 516, "name": "shortuuid" }, { "id": 574, "name": "websockets" }, { "id": 1065, "name": "async_timeout" }, { "id": 1259, "name": "Cryptodome" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1424, "name": "pyqrcode" }, { "id": 2519, "name": "sqlalchemy_aio" }, { "id": 2520, "name": "secp256k1" }, { "id": 2521, "name": "ecdsa" }, { "id": 2522, "name": "lnurl" }, { "id": 2523, "name": "bitstring" }, { "id": 2524, "name": "pyln" }, { "id": 2525, "name": "bech32" }, { "id": 4582, "name": "pywebpush" }, { "id": 4583, "name": "py_vapid" }, { "id": 4644, "name": "bolt11" }, { "id": 5580, "name": "fastapi_sso" } ], "last_checked_revision": "d6ac3d2672a9f0794a7bdbf1d49e622872dce4c1\n" }, { "id": 299, "url": "https://github.com/corca-ai/EVAL", "description": "[Corca / DEV] EVAL(Elastic Versatile Agent with Langchain) will execute all your requests. Just like an eval method!", "stars": 849, "source_graph_repo_id": 60658302, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 57, "name": "llama_index" }, { "id": 66, "name": "celery" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 158, "name": "diffusers" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 4173, "name": "ptrace" } ], "last_checked_revision": "b2f71faed659b9c468890791e535fa382877972f\n" }, { "id": 300, "url": "https://github.com/redis/redis-om-python", "description": "Object mapping, and more, for Redis and Python", "stars": 919, "source_graph_repo_id": 56472472, "dependencies": [ { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 76, "name": "click" }, { "id": 623, "name": "more_itertools" }, { "id": 1122, "name": "redis_om" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1543, "name": "ulid" }, { "id": 1544, "name": "unasync" } ], "last_checked_revision": "1213ca7373ba4f1347a5298e7f6f63cb09949ad2\n" }, { "id": 301, "url": "https://github.com/unum-cloud/ucall", "description": "Remote Procedure Calls - 50x lower latency and 70x higher bandwidth than FastAPI, implementing JSON-RPC & \ud83d\udd1c REST over io_uring and SIMDJSON \u260e\ufe0f", "stars": 920, "source_graph_repo_id": 60307603, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 37, "name": "httpx" }, { "id": 49, "name": "grpc" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 145, "name": "fire" }, { "id": 224, "name": "google" }, { "id": 227, "name": "websocket" }, { "id": 4125, "name": "benchmark" }, { "id": 4126, "name": "ucall" }, { "id": 4127, "name": "ucp" } ], "last_checked_revision": "ee3b4ba52eb697ae558c2652359d395e372ff839\n" }, { "id": 302, "url": "https://github.com/long2ice/fastapi-cache", "description": "fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.", "stars": 959, "source_graph_repo_id": 41832440, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 355, "name": "importlib_metadata" }, { "id": 1060, "name": "pendulum" }, { "id": 1358, "name": "types_aiobotocore_dynamodb" }, { "id": 1359, "name": "aiomcache" }, { "id": 1360, "name": "aiobotocore" } ], "last_checked_revision": "91ba6d75524b1f6a17ae6a3300ab51b9aa1fcf71\n" }, { "id": 303, "url": "https://github.com/modal-labs/quillman", "description": "A chat app that transcribes audio in real-time, streams back a response from a language model, and synthesizes this response as natural-sounding speech.", "stars": 882, "source_graph_repo_id": 60864133, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 185, "name": "huggingface_hub" }, { "id": 439, "name": "torchaudio" }, { "id": 639, "name": "whisper" }, { "id": 698, "name": "pydub" }, { "id": 1010, "name": "tortoise" }, { "id": 1380, "name": "fastchat" }, { "id": 1381, "name": "modal" }, { "id": 1382, "name": "ffmpeg" } ], "last_checked_revision": "45b995f60761e1eef631066ea3c5cad7bf574534\n" }, { "id": 304, "url": "https://github.com/uriyyo/fastapi-pagination", "description": "FastAPI pagination \ud83d\udcd6 ", "stars": 923, "source_graph_repo_id": 42421315, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 23, "name": "aiosqlite" }, { "id": 28, "name": "_pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 92, "name": "pymongo" }, { "id": 196, "name": "asyncpg" }, { "id": 236, "name": "sqlmodel" }, { "id": 272, "name": "bson" }, { "id": 348, "name": "django" }, { "id": 547, "name": "databases" }, { "id": 812, "name": "faker" }, { "id": 985, "name": "pony" }, { "id": 1007, "name": "motor" }, { "id": 1010, "name": "tortoise" }, { "id": 1120, "name": "mongoengine" }, { "id": 1128, "name": "cassandra" }, { "id": 1403, "name": "beanie" }, { "id": 1405, "name": "asgi_lifespan" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1426, "name": "ormar" }, { "id": 1555, "name": "flaky" }, { "id": 2932, "name": "orm" }, { "id": 2962, "name": "piccolo" }, { "id": 2963, "name": "sqlakeyset" }, { "id": 2964, "name": "gino_starlette" }, { "id": 2965, "name": "bunnet" } ], "last_checked_revision": "8dfee6d1979ab3b066cd55310abeb7ebe205081e\n" }, { "id": 305, "url": "https://github.com/dstackai/dstack", "description": "dstack simplifies training, fine-tuning, and deploying generative AI models on any cloud. Discord: https://discord.gg/u8SmfwPpMd", "stars": 894, "source_graph_repo_id": 57671620, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 74, "name": "sentry_sdk" }, { "id": 81, "name": "boto3" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 154, "name": "datasets" }, { "id": 178, "name": "peft" }, { "id": 215, "name": "cryptography" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 227, "name": "websocket" }, { "id": 341, "name": "paramiko" }, { "id": 373, "name": "tests" }, { "id": 438, "name": "cpuinfo" }, { "id": 442, "name": "filelock" }, { "id": 546, "name": "mkdocs" }, { "id": 948, "name": "apscheduler" }, { "id": 953, "name": "freezegun" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1061, "name": "jwt" }, { "id": 1067, "name": "dns" }, { "id": 1117, "name": "watchfiles" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1486, "name": "mkdocs_gen_files" }, { "id": 2689, "name": "giturlparse" }, { "id": 2883, "name": "msrest" }, { "id": 3070, "name": "trl" }, { "id": 3741, "name": "file_read_backwards" }, { "id": 3742, "name": "dstack" }, { "id": 3743, "name": "rich_argparse" }, { "id": 3744, "name": "cursor" }, { "id": 3745, "name": "msrestazure" }, { "id": 4894, "name": "gpuhunt" }, { "id": 5242, "name": "datacrunch" } ], "last_checked_revision": "b3269fb1ea7d84e4d27d1dc56b901688bee381fd\n" }, { "id": 306, "url": "https://github.com/liaogx/fastapi-tutorial", "description": "\u6574\u4f53\u7684\u4ecb\u7ecd FastAPI\uff0c\u5feb\u901f\u4e0a\u624b\u5f00\u53d1\uff0c\u7ed3\u5408 API \u4ea4\u4e92\u6587\u6863\u9010\u4e2a\u8bb2\u89e3\u6838\u5fc3\u6a21\u5757\u7684\u4f7f\u7528\u3002\u89c6\u9891\u5b66\u4e60\u5730\u5740\uff1a", "stars": 893, "source_graph_repo_id": 42750384, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" } ], "last_checked_revision": "b8e6298771fb16203415441aaadb8708cf6fc4a9\n" }, { "id": 307, "url": "https://github.com/koxudaxi/fastapi-code-generator", "description": "This code generator creates FastAPI app from an openapi file.", "stars": 857, "source_graph_repo_id": 41257491, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 38, "name": "pydantic" }, { "id": 73, "name": "jinja2" }, { "id": 953, "name": "freezegun" }, { "id": 1449, "name": "stringcase" }, { "id": 1450, "name": "datamodel_code_generator" } ], "last_checked_revision": "fb88ebaebe04425b2ace3acf3c68cf0076c2dd38\n" }, { "id": 308, "url": "https://github.com/Onelinerhub/onelinerhub", "description": "Thousands of code solutions with clear explanation @ onelinerhub.com", "stars": 776, "source_graph_repo_id": 52079154, "dependencies": [], "last_checked_revision": null }, { "id": 309, "url": "https://github.com/MgArcher/Text_select_captcha", "description": "\u5b9e\u73b0\u6587\u5b57\u70b9\u9009\u3001\u9009\u5b57\u3001\u9009\u62e9\u3001\u70b9\u89e6\u9a8c\u8bc1\u7801\u8bc6\u522b\uff0c\u57fa\u4e8epytorch\u8bad\u7ec3", "stars": 943, "source_graph_repo_id": 41819634, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 161, "name": "matplotlib" }, { "id": 410, "name": "selenium" }, { "id": 452, "name": "onnxruntime" }, { "id": 2970, "name": "fastapi_restful" } ], "last_checked_revision": "3099c3efafe224454e7af5b656fe6d2dba5a8472\n" }, { "id": 310, "url": "https://github.com/kale5195/chilloutai", "description": "AI \u56fe\u7247\u751f\u6210", "stars": 793, "source_graph_repo_id": 60435763, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" }, { "id": 1383, "name": "runpod" } ], "last_checked_revision": "e1a57c759fb6546af036df11f9881e4223015312\n" }, { "id": 311, "url": "https://github.com/ChristopherGS/ultimate-fastapi-tutorial", "description": "The Ultimate FastAPI Tutorial", "stars": 850, "source_graph_repo_id": 55641522, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 54, "name": "loguru" }, { "id": 61, "name": "alembic" }, { "id": 62, "name": "app" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 77, "name": "dotenv" } ], "last_checked_revision": "97b72d1dbc5da8bbb40ac04ccfb007835342c6ce\n" }, { "id": 312, "url": "https://github.com/HazyResearch/meerkat", "description": "Creative interactive views of any dataset. ", "stars": 791, "source_graph_repo_id": 49128847, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 62, "name": "app" }, { "id": 71, "name": "cv2" }, { "id": 73, "name": "jinja2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 86, "name": "sse_starlette" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 439, "name": "torchaudio" }, { "id": 464, "name": "fvcore" }, { "id": 583, "name": "__main__" }, { "id": 846, "name": "segment_anything" }, { "id": 1139, "name": "dill" }, { "id": 1343, "name": "pyparsing" }, { "id": 1459, "name": "wrapt" }, { "id": 1560, "name": "nbformat" }, { "id": 2380, "name": "gdown" }, { "id": 2691, "name": "pydicom" }, { "id": 3007, "name": "cytoolz" }, { "id": 3146, "name": "cyjupyter" }, { "id": 3147, "name": "wilds" }, { "id": 3148, "name": "minichain" }, { "id": 3149, "name": "gpt_index" }, { "id": 3150, "name": "voxel" }, { "id": 3151, "name": "manifest" }, { "id": 3152, "name": "domino" }, { "id": 3153, "name": "robustness" }, { "id": 3154, "name": "mocha" } ], "last_checked_revision": "50a76fa4e0f18b7802896927635031fc5fdeb53d\n" }, { "id": 313, "url": "https://github.com/laurentS/slowapi", "description": "A rate limiter for Starlette and FastAPI", "stars": 845, "source_graph_repo_id": 40532206, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 349, "name": "mock" }, { "id": 1389, "name": "hiro" }, { "id": 1390, "name": "limits" } ], "last_checked_revision": "90ec3ab2f75e45e7eb7cb4a0bf148773955acbfd\n" }, { "id": 314, "url": "https://github.com/jxnl/instructor", "description": "structured outputs for llms ", "stars": 2804, "source_graph_repo_id": 61202687, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 29, "name": "aiohttp" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 138, "name": "nltk" }, { "id": 183, "name": "openai" }, { "id": 255, "name": "spacy" }, { "id": 479, "name": "regex" }, { "id": 597, "name": "docstring_parser" }, { "id": 1073, "name": "diskcache" }, { "id": 1381, "name": "modal" }, { "id": 1450, "name": "datamodel_code_generator" }, { "id": 1892, "name": "graphviz" }, { "id": 4253, "name": "erdantic" }, { "id": 5263, "name": "braintrust" } ], "last_checked_revision": "3f1c99130a7d15282c50875b31dd0f283a8904aa\n" }, { "id": 315, "url": "https://github.com/Niek/chatgpt-web", "description": "ChatGPT web interface using the OpenAI API", "stars": 1504, "source_graph_repo_id": 60485932, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 1565, "name": "lorem_text" } ], "last_checked_revision": "6e00ff4eb8ec057f5853e05247094934f945904f\n" }, { "id": 316, "url": "https://github.com/mlco2/codecarbon", "description": "Track emissions from Compute and recommend ways to reduce their impact on the environment.", "stars": 840, "source_graph_repo_id": 42303844, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 38, "name": "pydantic" }, { "id": 45, "name": "arrow" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 84, "name": "torchvision" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 142, "name": "pynvml" }, { "id": 145, "name": "fire" }, { "id": 154, "name": "datasets" }, { "id": 224, "name": "google" }, { "id": 278, "name": "plotly" }, { "id": 290, "name": "requests_mock" }, { "id": 431, "name": "comet_ml" }, { "id": 438, "name": "cpuinfo" }, { "id": 491, "name": "data" }, { "id": 497, "name": "prometheus_client" }, { "id": 592, "name": "dash" }, { "id": 631, "name": "responses" }, { "id": 1413, "name": "bcrypt" }, { "id": 1613, "name": "dependency_injector" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 2722, "name": "kerastuner" }, { "id": 2895, "name": "CodeCarbon_template" }, { "id": 2896, "name": "dash_core_components" }, { "id": 2897, "name": "container" }, { "id": 2898, "name": "dash_table" }, { "id": 2899, "name": "layout" }, { "id": 2900, "name": "dash_bootstrap_components" }, { "id": 2901, "name": "fastapi_pagination" } ], "last_checked_revision": "72bcae53262074682805e960a61eec1dfb3da2ca\n" }, { "id": 317, "url": "https://github.com/miguelgrinberg/microdot", "description": "The impossibly small web framework for Python and MicroPython.", "stars": 1126, "source_graph_repo_id": 41366354, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 73, "name": "jinja2" }, { "id": 122, "name": "psutil" }, { "id": 227, "name": "websocket" }, { "id": 292, "name": "flask" }, { "id": 906, "name": "quart" }, { "id": 976, "name": "microdot_jinja" }, { "id": 997, "name": "microdot_wsgi" }, { "id": 998, "name": "microdot_asgi" }, { "id": 1061, "name": "jwt" }, { "id": 1448, "name": "humanize" }, { "id": 1553, "name": "_datetime" }, { "id": 1587, "name": "ucollections" }, { "id": 1588, "name": "uctypes" }, { "id": 1589, "name": "microdot" }, { "id": 1590, "name": "microdot_websocket" }, { "id": 1591, "name": "ffi" }, { "id": 1592, "name": "microdot_ssl" }, { "id": 1593, "name": "microdot_asyncio_websocket" }, { "id": 1594, "name": "uio" }, { "id": 1595, "name": "_uasyncio" }, { "id": 1596, "name": "microdot_asyncio_test_client" }, { "id": 1597, "name": "microdot_cors" }, { "id": 1598, "name": "microdot_utemplate" }, { "id": 1599, "name": "_strptime" }, { "id": 1600, "name": "uasyncio" }, { "id": 1601, "name": "microdot_asyncio" }, { "id": 1602, "name": "microdot_asgi_websocket" }, { "id": 1603, "name": "microdot_session" }, { "id": 1604, "name": "usocket" }, { "id": 1605, "name": "uerrno" }, { "id": 1606, "name": "ure" }, { "id": 1607, "name": "utemplate" }, { "id": 1608, "name": "ustruct" }, { "id": 1609, "name": "uos" }, { "id": 1610, "name": "utime" }, { "id": 1611, "name": "microdot_test_client" }, { "id": 1612, "name": "machine" }, { "id": 5690, "name": "_asyncio" }, { "id": 5691, "name": "micropython" } ], "last_checked_revision": "5d188e8c0ddef6ce633ca702dbdd4a90f2799597\n" }, { "id": 318, "url": "https://github.com/laurolins/nanocube", "description": "", "stars": 727, "source_graph_repo_id": 108700, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 34, "name": "uvicorn" }, { "id": 68, "name": "sqlalchemy" } ], "last_checked_revision": "a085f5733180f32a34d60137c0b62a4cc9320a28\n" }, { "id": 319, "url": "https://github.com/ajndkr/lanarky", "description": "FastAPI framework to build production-grade LLM applications", "stars": 865, "source_graph_repo_id": 60857131, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 77, "name": "dotenv" }, { "id": 86, "name": "sse_starlette" }, { "id": 118, "name": "gradio" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 538, "name": "pydantic_settings" }, { "id": 936, "name": "toml" }, { "id": 1069, "name": "gptcache" }, { "id": 3672, "name": "httpx_sse" } ], "last_checked_revision": "b66ca23d7ba50fa2ebfc65ec771736a42c863bb6\n" }, { "id": 320, "url": "https://github.com/kuwala-io/kuwala", "description": "Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times", "stars": 749, "source_graph_repo_id": 43419941, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 60, "name": "psycopg2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 69, "name": "oyaml" }, { "id": 77, "name": "dotenv" }, { "id": 127, "name": "tqdm" }, { "id": 224, "name": "google" }, { "id": 261, "name": "pyarrow" }, { "id": 471, "name": "shapely" }, { "id": 516, "name": "shortuuid" }, { "id": 689, "name": "src" }, { "id": 772, "name": "config" }, { "id": 819, "name": "pyspark" }, { "id": 889, "name": "func_timeout" }, { "id": 906, "name": "quart" }, { "id": 988, "name": "controller" }, { "id": 1485, "name": "questionary" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 2270, "name": "sshtunnel" }, { "id": 2385, "name": "database" }, { "id": 2676, "name": "rasterio" }, { "id": 2872, "name": "pyquery" }, { "id": 3090, "name": "thefuzz" }, { "id": 3091, "name": "hdx" }, { "id": 3092, "name": "pycountry_convert" }, { "id": 3093, "name": "geojson" }, { "id": 3094, "name": "pycountry" }, { "id": 3095, "name": "h3" }, { "id": 3096, "name": "pytrends" }, { "id": 3097, "name": "moment" }, { "id": 3098, "name": "python_utils" }, { "id": 3099, "name": "python_on_whales" } ], "last_checked_revision": "44d73c2cd0be03acc5984b79597f40695fdeff4c\n" }, { "id": 321, "url": "https://github.com/KohakuBlueleaf/a1111-sd-webui-lycoris", "description": "An extension for stable-diffusion-webui to load lycoris models. ", "stars": 797, "source_graph_repo_id": 60776479, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 15, "name": "torch" }, { "id": 118, "name": "gradio" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" } ], "last_checked_revision": "df9c0093bc9e079487302d3ed3f5db4337d6f19a\n" }, { "id": 322, "url": "https://github.com/SkywalkerDarren/chatWeb", "description": "ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.", "stars": 792, "source_graph_repo_id": 60548963, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 53, "name": "PyPDF2" }, { "id": 55, "name": "pgvector" }, { "id": 68, "name": "sqlalchemy" }, { "id": 118, "name": "gradio" }, { "id": 183, "name": "openai" }, { "id": 216, "name": "newspaper" }, { "id": 410, "name": "selenium" }, { "id": 615, "name": "faiss" }, { "id": 627, "name": "langdetect" }, { "id": 1068, "name": "docx" }, { "id": 1316, "name": "xxhash" }, { "id": 1391, "name": "readability" } ], "last_checked_revision": "e4cd0b51900982ffd143d688e6d04b784d324edc\n" }, { "id": 323, "url": "https://github.com/dvlab-research/LISA", "description": "Project Page for \"LISA: Reasoning Segmentation via Large Language Model\"", "stars": 834, "source_graph_repo_id": 61447277, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 111, "name": "einops" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 161, "name": "matplotlib" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 464, "name": "fvcore" }, { "id": 516, "name": "shortuuid" }, { "id": 551, "name": "deepspeed" }, { "id": 657, "name": "pycocotools" }, { "id": 1071, "name": "markdown2" }, { "id": 1094, "name": "detectron2" }, { "id": 1439, "name": "bleach" }, { "id": 1586, "name": "triton_pre_mlir" }, { "id": 4274, "name": "llava" } ], "last_checked_revision": "7232bb8fa764f6d3a9b7928c975e26a67fde545c\n" }, { "id": 324, "url": "https://github.com/iterative/mlem", "description": "\ud83d\udc36 A tool to package, serve, and deploy any ML model on any platform.", "stars": 703, "source_graph_repo_id": 57844103, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 124, "name": "git" }, { "id": 140, "name": "scipy" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 235, "name": "prometheus_fastapi_instrumentator" }, { "id": 355, "name": "importlib_metadata" }, { "id": 412, "name": "cloudpickle" }, { "id": 425, "name": "fsspec" }, { "id": 426, "name": "lightgbm" }, { "id": 452, "name": "onnxruntime" }, { "id": 565, "name": "s3fs" }, { "id": 778, "name": "docker" }, { "id": 799, "name": "xgboost" }, { "id": 868, "name": "sagemaker" }, { "id": 872, "name": "catboost" }, { "id": 951, "name": "pytest_lazyfixture" }, { "id": 1004, "name": "colorama" }, { "id": 1079, "name": "isort" }, { "id": 1098, "name": "skl2onnx" }, { "id": 1129, "name": "testcontainers" }, { "id": 1134, "name": "kubernetes" }, { "id": 1139, "name": "dill" }, { "id": 1436, "name": "emoji" }, { "id": 1517, "name": "opcode" }, { "id": 1546, "name": "dvc" }, { "id": 1547, "name": "pack_1" }, { "id": 1548, "name": "iterative_telemetry" }, { "id": 1549, "name": "tomlkit" }, { "id": 1550, "name": "streamlit_pydantic" }, { "id": 1551, "name": "setuptools_scm" }, { "id": 1552, "name": "gitlab" }, { "id": 1553, "name": "_datetime" }, { "id": 1554, "name": "_ctypes" }, { "id": 1555, "name": "flaky" }, { "id": 1556, "name": "gcsfs" }, { "id": 1557, "name": "pack_2" }, { "id": 1558, "name": "pika" }, { "id": 1559, "name": "flatdict" }, { "id": 1560, "name": "nbformat" }, { "id": 1561, "name": "nbloader" } ], "last_checked_revision": "9aa89423f6f0f38dba50c3dc04fc7674738f1260\n" }, { "id": 325, "url": "https://github.com/microsoft/fastformers", "description": "FastFormers - highly efficient transformer models for NLU", "stars": 696, "source_graph_repo_id": 42243171, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 80, "name": "tensorflow" }, { "id": 87, "name": "tokenizers" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 155, "name": "six" }, { "id": 177, "name": "h5py" }, { "id": 180, "name": "apex" }, { "id": 182, "name": "wandb" }, { "id": 245, "name": "absl" }, { "id": 255, "name": "spacy" }, { "id": 429, "name": "wget" }, { "id": 442, "name": "filelock" }, { "id": 446, "name": "tensorboardX" }, { "id": 452, "name": "onnxruntime" }, { "id": 461, "name": "ftfy" }, { "id": 468, "name": "onnx" }, { "id": 479, "name": "regex" }, { "id": 519, "name": "sentencepiece" }, { "id": 534, "name": "torch_xla" }, { "id": 697, "name": "Mykytea" }, { "id": 706, "name": "pythainlp" }, { "id": 822, "name": "py3nvml" }, { "id": 862, "name": "fairseq" }, { "id": 1501, "name": "MeCab" }, { "id": 1502, "name": "experiment_impact_tracker" }, { "id": 1503, "name": "ptvsd" }, { "id": 1504, "name": "keras2onnx" }, { "id": 1505, "name": "sacremoses" } ], "last_checked_revision": "8d9f10bd8b5dff56859d44f8e39490ea24c31da6\n" }, { "id": 326, "url": "https://github.com/ShiftLeftSecurity/sast-scan", "description": "Scan is a free & Open Source DevSecOps tool for performing static analysis based security testing of your applications and its dependencies. CI and Git friendly.", "stars": 747, "source_graph_repo_id": 40672694, "dependencies": [ { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 96, "name": "rich" }, { "id": 124, "name": "git" }, { "id": 155, "name": "six" }, { "id": 224, "name": "google" }, { "id": 906, "name": "quart" }, { "id": 1237, "name": "defusedxml" }, { "id": 2737, "name": "sarif_om" }, { "id": 2738, "name": "jschema_to_python" }, { "id": 2739, "name": "reporter" }, { "id": 2740, "name": "hypercorn" } ], "last_checked_revision": "ae74004b82a41e800c6bc0b6ed05d48da9b8fc6f\n" }, { "id": 327, "url": "https://github.com/klen/py-frameworks-bench", "description": "Another benchmark for some python frameworks", "stars": 697, "source_graph_repo_id": 40129972, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 36, "name": "uvloop" }, { "id": 73, "name": "jinja2" }, { "id": 147, "name": "sanic" }, { "id": 348, "name": "django" }, { "id": 906, "name": "quart" }, { "id": 909, "name": "tornado" }, { "id": 917, "name": "emmett" }, { "id": 920, "name": "baize" }, { "id": 925, "name": "blacksheep" }, { "id": 926, "name": "falcon" }, { "id": 1374, "name": "asgi_tools" }, { "id": 1375, "name": "muffin" } ], "last_checked_revision": "d4cf8c2b1134c653114384b440b3deb1965fe220\n" }, { "id": 328, "url": "https://github.com/kreneskyp/ix", "description": "Autonomous GPT-4 agent platform", "stars": 851, "source_graph_repo_id": 60816198, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 56, "name": "redis" }, { "id": 82, "name": "PIL" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 259, "name": "asgiref" }, { "id": 348, "name": "django" }, { "id": 500, "name": "graphql" }, { "id": 539, "name": "pydantic_core" }, { "id": 812, "name": "faker" }, { "id": 1083, "name": "aiofiles" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1451, "name": "langchain_experimental" }, { "id": 1528, "name": "channels" }, { "id": 1656, "name": "graphene" }, { "id": 1712, "name": "hvac" }, { "id": 2134, "name": "jsonpath_ng" }, { "id": 2326, "name": "graphene_django" }, { "id": 3997, "name": "langsmith" }, { "id": 4198, "name": "celery_singleton" }, { "id": 4199, "name": "channels_graphql_ws" }, { "id": 4203, "name": "metaphor_python" }, { "id": 5226, "name": "langchain_core" }, { "id": 5568, "name": "langchain_community" }, { "id": 5700, "name": "jsonschema_pydantic" } ], "last_checked_revision": "b192fe5d7d80a16594b7766736ce92fc308b4422\n" }, { "id": 329, "url": "https://github.com/mwmbl/mwmbl", "description": "An open source, non-profit search engine implemented in python", "stars": 994, "source_graph_repo_id": 56726465, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 60, "name": "psycopg2" }, { "id": 81, "name": "boto3" }, { "id": 140, "name": "scipy" }, { "id": 255, "name": "spacy" }, { "id": 348, "name": "django" }, { "id": 430, "name": "urllib3" }, { "id": 635, "name": "requests_cache" }, { "id": 712, "name": "mmh3" }, { "id": 732, "name": "zstandard" }, { "id": 910, "name": "ninja" }, { "id": 2289, "name": "dj_database_url" }, { "id": 3677, "name": "justext" }, { "id": 5224, "name": "django_htmx" } ], "last_checked_revision": "e544d45c374c13cdc1a5048dac28b3961d39e7c5\n" }, { "id": 330, "url": "https://github.com/SAGIRI-kawaii/sagiri-bot", "description": "\u57fa\u4e8eGraia Ariadne\u548cMirai\u7684QQ\u673a\u5668\u4eba SAGIRI-BOT", "stars": 689, "source_graph_repo_id": 42214643, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 78, "name": "imageio" }, { "id": 82, "name": "PIL" }, { "id": 98, "name": "pytz" }, { "id": 119, "name": "basicsr" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 134, "name": "realesrgan" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 161, "name": "matplotlib" }, { "id": 251, "name": "playwright" }, { "id": 574, "name": "websockets" }, { "id": 679, "name": "pypinyin" }, { "id": 692, "name": "wordcloud" }, { "id": 754, "name": "librosa" }, { "id": 929, "name": "yarl" }, { "id": 1083, "name": "aiofiles" }, { "id": 1618, "name": "unidecode" }, { "id": 1817, "name": "inflect" }, { "id": 1835, "name": "soundfile" }, { "id": 1839, "name": "webrtcvad" }, { "id": 1862, "name": "qrcode" }, { "id": 2032, "name": "markdown_it" }, { "id": 2035, "name": "mdit_py_plugins" }, { "id": 2121, "name": "tencentcloud" }, { "id": 2416, "name": "exifread" }, { "id": 3127, "name": "meme_generator" }, { "id": 3128, "name": "graia" }, { "id": 3129, "name": "noneprompt" }, { "id": 3130, "name": "unwind" }, { "id": 3131, "name": "PicImageSearch" }, { "id": 3132, "name": "dacite" }, { "id": 3133, "name": "pyzipper" }, { "id": 3134, "name": "creart" }, { "id": 3135, "name": "graiax" }, { "id": 3136, "name": "launart" } ], "last_checked_revision": "e0ebe3545c46b371ba0a72fc3b356b7559601e3f\n" }, { "id": 331, "url": "https://github.com/nlp-uoregon/trankit", "description": "Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing", "stars": 697, "source_graph_repo_id": 42854192, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 80, "name": "tensorflow" }, { "id": 87, "name": "tokenizers" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 155, "name": "six" }, { "id": 177, "name": "h5py" }, { "id": 180, "name": "apex" }, { "id": 182, "name": "wandb" }, { "id": 245, "name": "absl" }, { "id": 255, "name": "spacy" }, { "id": 429, "name": "wget" }, { "id": 442, "name": "filelock" }, { "id": 446, "name": "tensorboardX" }, { "id": 452, "name": "onnxruntime" }, { "id": 461, "name": "ftfy" }, { "id": 479, "name": "regex" }, { "id": 519, "name": "sentencepiece" }, { "id": 534, "name": "torch_xla" }, { "id": 697, "name": "Mykytea" }, { "id": 706, "name": "pythainlp" }, { "id": 822, "name": "py3nvml" }, { "id": 862, "name": "fairseq" }, { "id": 1372, "name": "langid" }, { "id": 1501, "name": "MeCab" }, { "id": 1504, "name": "keras2onnx" }, { "id": 1505, "name": "sacremoses" }, { "id": 2397, "name": "mosestokenizer" } ], "last_checked_revision": "00848efe75e0fd10a8f0a40c589659da5f8941b3\n" }, { "id": 332, "url": "https://github.com/byt3bl33d3r/WitnessMe", "description": "Web Inventory tool, takes screenshots of webpages using Pyppeteer (headless Chrome/Chromium) and provides some extra bells & whistles to make life easier.", "stars": 698, "source_graph_repo_id": 39466828, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 20, "name": "pyppeteer" }, { "id": 23, "name": "aiosqlite" }, { "id": 27, "name": "aiodns" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 73, "name": "jinja2" }, { "id": 135, "name": "pkg_resources" }, { "id": 218, "name": "lxml" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 802, "name": "xmltodict" }, { "id": 1401, "name": "terminaltables" }, { "id": 1402, "name": "imgcat" } ], "last_checked_revision": "16d4a377eba653315e827b0af686b948681be301\n" }, { "id": 333, "url": "https://github.com/rednafi/fastapi-nano", "description": "\ud83d\udc0d Simple FastAPI template employing divisional architecture pattern", "stars": 747, "source_graph_repo_id": 41114880, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" } ], "last_checked_revision": "c024d84194fd0437749015b186369ae54a147359\n" }, { "id": 334, "url": "https://github.com/netenglabs/suzieq", "description": "Using network observability to operate and design healthier networks", "stars": 708, "source_graph_repo_id": 40813531, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 72, "name": "jsonschema" }, { "id": 98, "name": "pytz" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 155, "name": "six" }, { "id": 172, "name": "natsort" }, { "id": 215, "name": "cryptography" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 400, "name": "altair" }, { "id": 430, "name": "urllib3" }, { "id": 442, "name": "filelock" }, { "id": 445, "name": "pygments" }, { "id": 469, "name": "termcolor" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 620, "name": "networkx" }, { "id": 802, "name": "xmltodict" }, { "id": 812, "name": "faker" }, { "id": 936, "name": "toml" }, { "id": 947, "name": "tzlocal" }, { "id": 963, "name": "simplejson" }, { "id": 1004, "name": "colorama" }, { "id": 1083, "name": "aiofiles" }, { "id": 1189, "name": "genericpath" }, { "id": 1569, "name": "dateparser" }, { "id": 1892, "name": "graphviz" }, { "id": 2134, "name": "jsonpath_ng" }, { "id": 2704, "name": "textfsm" }, { "id": 2749, "name": "asyncssh" }, { "id": 2750, "name": "netconan" }, { "id": 2751, "name": "ciscoconfparse" }, { "id": 2752, "name": "st_aggrid" }, { "id": 2753, "name": "nubia" } ], "last_checked_revision": "091d7847d6cbc568ffd4f2fa1d87e052937a5d60\n" }, { "id": 335, "url": "https://github.com/cak/secure", "description": "Secure \ud83d\udd12 headers for Python web frameworks", "stars": 666, "source_graph_repo_id": 39981837, "dependencies": [ { "id": 18, "name": "setuptools" } ], "last_checked_revision": "04dd035e560583baeba06f5714f273b542c07767\n" }, { "id": 336, "url": "https://github.com/RiotGames/developer-relations", "description": "Riot Games Developer Ecosystem Bug Reporting", "stars": 690, "source_graph_repo_id": 40241137, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 77, "name": "dotenv" } ], "last_checked_revision": "22f8b70c894e06a330d6eacf9f6fb4d1a5857a64\n" }, { "id": 337, "url": "https://github.com/michael-wzhu/Chinese-LlaMA2", "description": "Repo for adapting Meta LlaMA2 in Chinese! META\u6700\u65b0\u53d1\u5e03\u7684LlaMA2\u7684\u6c49\u5316\u7248\uff01 \uff08\u5b8c\u5168\u5f00\u6e90\u53ef\u5546\u7528\uff09", "stars": 727, "source_graph_repo_id": 61371238, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 34, "name": "uvicorn" }, { "id": 87, "name": "tokenizers" }, { "id": 118, "name": "gradio" }, { "id": 138, "name": "nltk" }, { "id": 149, "name": "jieba" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 166, "name": "rouge_chinese" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 208, "name": "mdtex2html" }, { "id": 292, "name": "flask" }, { "id": 519, "name": "sentencepiece" }, { "id": 558, "name": "vllm" }, { "id": 1627, "name": "internal" }, { "id": 1628, "name": "cpm_kernels" } ], "last_checked_revision": "381465eae4a5056072614ad9887e3b6a85ea4c65\n" }, { "id": 338, "url": "https://github.com/Trinkle23897/tuixue.online-visa", "description": "https://tuixue.online/visa/ A Real-time Display of U.S. Visa Appointment Status Website \u9884\u7ea6\u7f8e\u5e1d\u7b7e\u8bc1\u5404\u4e2a\u7b7e\u8bc1\u5904\u6700\u65e9\u65f6\u95f4\u7684\u722c\u866b", "stars": 724, "source_graph_repo_id": 40572476, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 38, "name": "pydantic" }, { "id": 82, "name": "PIL" }, { "id": 92, "name": "pymongo" }, { "id": 127, "name": "tqdm" }, { "id": 348, "name": "django" }, { "id": 410, "name": "selenium" }, { "id": 574, "name": "websockets" } ], "last_checked_revision": "31bc185c48823cd48f6244e783455358f37d5b29\n" }, { "id": 339, "url": "https://github.com/OpenBMB/AgentVerse", "description": "\ud83e\udd16 AgentVerse \ud83e\ude90 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation", "stars": 3209, "source_graph_repo_id": 60947486, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 71, "name": "cv2" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 255, "name": "spacy" }, { "id": 633, "name": "rapidfuzz" }, { "id": 1004, "name": "colorama" }, { "id": 1699, "name": "astunparse" }, { "id": 4225, "name": "bmtools" } ], "last_checked_revision": "5fb1f7713988c0ef71c1a8a455d7a74d821fd7cb\n" }, { "id": 340, "url": "https://github.com/TobikoData/sqlmesh", "description": "SQLMesh is a data transformation framework that brings the benefits of DevOps to data teams. It enables data scientists, analysts, and engineers to efficiently run and deploy data transformations written in SQL or Python.", "stars": 894, "source_graph_repo_id": 60672021, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 28, "name": "_pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 60, "name": "psycopg2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 86, "name": "sse_starlette" }, { "id": 91, "name": "mysql" }, { "id": 96, "name": "rich" }, { "id": 98, "name": "pytz" }, { "id": 200, "name": "models" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 215, "name": "cryptography" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 273, "name": "airflow" }, { "id": 292, "name": "flask" }, { "id": 425, "name": "fsspec" }, { "id": 538, "name": "pydantic_settings" }, { "id": 572, "name": "croniter" }, { "id": 808, "name": "ipywidgets" }, { "id": 812, "name": "faker" }, { "id": 819, "name": "pyspark" }, { "id": 946, "name": "pytest_mock" }, { "id": 951, "name": "pytest_lazyfixture" }, { "id": 953, "name": "freezegun" }, { "id": 1028, "name": "ruamel" }, { "id": 1060, "name": "pendulum" }, { "id": 1074, "name": "duckdb" }, { "id": 1117, "name": "watchfiles" }, { "id": 1132, "name": "snowflake" }, { "id": 1179, "name": "pymssql" }, { "id": 1526, "name": "py4j" }, { "id": 1569, "name": "dateparser" }, { "id": 1574, "name": "astor" }, { "id": 1640, "name": "github" }, { "id": 1892, "name": "graphviz" }, { "id": 1987, "name": "databricks_cli" }, { "id": 2002, "name": "databricks" }, { "id": 3397, "name": "dbt" }, { "id": 3598, "name": "trino" }, { "id": 3608, "name": "agate" }, { "id": 4174, "name": "sqlglot" }, { "id": 4175, "name": "hyperscript" }, { "id": 4176, "name": "redshift_connector" }, { "id": 4177, "name": "helper" }, { "id": 4340, "name": "macros" } ], "last_checked_revision": "1b9be8bb8745f33f6ede9e8e4251abce12b13080\n" }, { "id": 341, "url": "https://github.com/google/turbinia", "description": "Automation and Scaling of Digital Forensics Tools", "stars": 685, "source_graph_repo_id": 231960, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 18, "name": "setuptools" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 66, "name": "celery" }, { "id": 76, "name": "click" }, { "id": 135, "name": "pkg_resources" }, { "id": 155, "name": "six" }, { "id": 224, "name": "google" }, { "id": 225, "name": "google_auth_oauthlib" }, { "id": 226, "name": "googleapiclient" }, { "id": 319, "name": "kombu" }, { "id": 349, "name": "mock" }, { "id": 430, "name": "urllib3" }, { "id": 442, "name": "filelock" }, { "id": 497, "name": "prometheus_client" }, { "id": 498, "name": "coverage" }, { "id": 509, "name": "docutils" }, { "id": 1343, "name": "pyparsing" }, { "id": 1347, "name": "recommonmark" }, { "id": 1414, "name": "fakeredis" }, { "id": 1739, "name": "httplib2" }, { "id": 1774, "name": "amqp" }, { "id": 1891, "name": "psq" }, { "id": 1892, "name": "graphviz" }, { "id": 1893, "name": "libcloudforensics" }, { "id": 1894, "name": "turbinia_client" }, { "id": 1895, "name": "dfvfs" }, { "id": 1896, "name": "turbinia_api_lib" }, { "id": 1897, "name": "dfimagetools" }, { "id": 2076, "name": "frozendict" } ], "last_checked_revision": "fa868a31a0286ac18318a126783dfa3dbe4003a4\n" }, { "id": 342, "url": "https://github.com/PaddlePaddle/Knover", "description": "Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle", "stars": 670, "source_graph_repo_id": 41438282, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 155, "name": "six" }, { "id": 184, "name": "utils" }, { "id": 469, "name": "termcolor" }, { "id": 479, "name": "regex" }, { "id": 519, "name": "sentencepiece" }, { "id": 521, "name": "jsonlines" }, { "id": 713, "name": "paddle" }, { "id": 720, "name": "rouge" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 1830, "name": "paddlenlp" }, { "id": 2786, "name": "drqa" }, { "id": 2787, "name": "pyserini" }, { "id": 2788, "name": "rocketqa" } ], "last_checked_revision": "e137eaca74a9d79982705261193759bbe3c7ddc5\n" }, { "id": 343, "url": "https://github.com/census-instrumentation/opencensus-python", "description": "A stats collection and distributed tracing framework", "stars": 660, "source_graph_repo_id": 1354409, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 37, "name": "httpx" }, { "id": 46, "name": "azure" }, { "id": 49, "name": "grpc" }, { "id": 60, "name": "psycopg2" }, { "id": 62, "name": "app" }, { "id": 68, "name": "sqlalchemy" }, { "id": 91, "name": "mysql" }, { "id": 92, "name": "pymongo" }, { "id": 122, "name": "psutil" }, { "id": 155, "name": "six" }, { "id": 224, "name": "google" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 349, "name": "mock" }, { "id": 497, "name": "prometheus_client" }, { "id": 734, "name": "pymysql" }, { "id": 826, "name": "retrying" }, { "id": 886, "name": "werkzeug" }, { "id": 919, "name": "pyramid" }, { "id": 1459, "name": "wrapt" }, { "id": 1460, "name": "thrift" }, { "id": 1461, "name": "hello_world_pb2_grpc" }, { "id": 1462, "name": "hello_world_pb2" }, { "id": 1463, "name": "gevent" }, { "id": 1464, "name": "bitarray" }, { "id": 1465, "name": "unittest2" }, { "id": 1466, "name": "nox" } ], "last_checked_revision": "d96fb343943e7734c7f7bb43cb7312e937d89187\n" }, { "id": 344, "url": "https://github.com/basetenlabs/truss", "description": "The simplest way to serve AI/ML models in production", "stars": 759, "source_graph_repo_id": 58584085, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 51, "name": "qdrant_client" }, { "id": 71, "name": "cv2" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 89, "name": "triton_python_backend_utils" }, { "id": 93, "name": "gfpgan" }, { "id": 94, "name": "clip" }, { "id": 96, "name": "rich" }, { "id": 106, "name": "anyio" }, { "id": 119, "name": "basicsr" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 134, "name": "realesrgan" }, { "id": 135, "name": "pkg_resources" }, { "id": 139, "name": "model" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 246, "name": "sentence_transformers" }, { "id": 290, "name": "requests_mock" }, { "id": 292, "name": "flask" }, { "id": 412, "name": "cloudpickle" }, { "id": 418, "name": "joblib" }, { "id": 426, "name": "lightgbm" }, { "id": 597, "name": "docstring_parser" }, { "id": 639, "name": "whisper" }, { "id": 799, "name": "xgboost" }, { "id": 837, "name": "shared" }, { "id": 846, "name": "segment_anything" }, { "id": 849, "name": "jax" }, { "id": 888, "name": "controlnet_aux" }, { "id": 1107, "name": "msgpack" }, { "id": 1116, "name": "flax" }, { "id": 1117, "name": "watchfiles" }, { "id": 1123, "name": "common" }, { "id": 1151, "name": "tensorflow_hub" }, { "id": 1255, "name": "helpers" }, { "id": 1560, "name": "nbformat" }, { "id": 1617, "name": "pythonjsonlogger" }, { "id": 1652, "name": "dockerfile" }, { "id": 1736, "name": "pytube" }, { "id": 1970, "name": "msgpack_numpy" }, { "id": 2028, "name": "nbconvert" }, { "id": 2056, "name": "blake3" }, { "id": 2974, "name": "InquirerPy" }, { "id": 3004, "name": "pytorch_forecasting" }, { "id": 3099, "name": "python_on_whales" }, { "id": 3137, "name": "server" }, { "id": 3670, "name": "rich_click" }, { "id": 3846, "name": "model_wrapper" }, { "id": 3847, "name": "my_pytorch_model" }, { "id": 3848, "name": "single_source" }, { "id": 3849, "name": "test_folder" }, { "id": 3850, "name": "nemo" }, { "id": 3851, "name": "base64_utils" }, { "id": 3852, "name": "dalle_mini" }, { "id": 3853, "name": "vqgan_jax" } ], "last_checked_revision": "c50d7add9048052ea2893a9e31c21b9c98808e30\n" }, { "id": 345, "url": "https://github.com/Azure/counterfit", "description": "a CLI that provides a generic automation layer for assessing the security of ML models", "stars": 708, "source_graph_repo_id": 45344148, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 46, "name": "azure" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 96, "name": "rich" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 399, "name": "orjson" }, { "id": 533, "name": "optuna" }, { "id": 562, "name": "gym" }, { "id": 2473, "name": "Levenshtein" }, { "id": 3107, "name": "cmd2" }, { "id": 3680, "name": "targets" }, { "id": 3681, "name": "frameworks" } ], "last_checked_revision": "9aee1ea6958fe48edbe289aaef895a902aeccc80\n" }, { "id": 346, "url": "https://github.com/curiefense/curiefense", "description": "Curiefense is a unified, open source platform protecting cloud native applications.", "stars": 690, "source_graph_repo_id": 42374915, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 72, "name": "jsonschema" }, { "id": 92, "name": "pymongo" }, { "id": 124, "name": "git" }, { "id": 190, "name": "locust" }, { "id": 224, "name": "google" }, { "id": 235, "name": "prometheus_fastapi_instrumentator" }, { "id": 292, "name": "flask" }, { "id": 497, "name": "prometheus_client" }, { "id": 886, "name": "werkzeug" }, { "id": 955, "name": "pydash" }, { "id": 1233, "name": "jmespath" }, { "id": 1432, "name": "requests_toolbelt" }, { "id": 1439, "name": "bleach" }, { "id": 1647, "name": "fasteners" }, { "id": 2134, "name": "jsonpath_ng" }, { "id": 2135, "name": "cloudstorage" }, { "id": 2292, "name": "flask_restx" }, { "id": 3000, "name": "gitdb" }, { "id": 3001, "name": "simple_rest_client" }, { "id": 3002, "name": "curieconf" } ], "last_checked_revision": "23076c6a1dd195d90402f6cf5cd8146b26aba748\n" }, { "id": 347, "url": "https://github.com/xingag/app_spider", "description": "a spider on the apps", "stars": 659, "source_graph_repo_id": 37516259, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 92, "name": "pymongo" }, { "id": 184, "name": "utils" }, { "id": 218, "name": "lxml" }, { "id": 410, "name": "selenium" }, { "id": 1259, "name": "Cryptodome" }, { "id": 2037, "name": "pyecharts" }, { "id": 2254, "name": "poco" }, { "id": 2255, "name": "appium" }, { "id": 2256, "name": "element_utils" }, { "id": 2257, "name": "airtest" }, { "id": 2258, "name": "aip" }, { "id": 2259, "name": "aircv" } ], "last_checked_revision": "6888bc1b064facd1e12fb1cecd8185b20c19f1d9\n" }, { "id": 348, "url": "https://github.com/Kyomotoi/ATRI", "description": "A project for ATRI, use go-cqhttp and Nonebot2.", "stars": 657, "source_graph_repo_id": 41232029, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 129, "name": "skimage" }, { "id": 149, "name": "jieba" }, { "id": 156, "name": "tabulate" }, { "id": 452, "name": "onnxruntime" }, { "id": 574, "name": "websockets" }, { "id": 737, "name": "pip" }, { "id": 802, "name": "xmltodict" }, { "id": 931, "name": "nonebug" }, { "id": 948, "name": "apscheduler" }, { "id": 1010, "name": "tortoise" }, { "id": 1083, "name": "aiofiles" }, { "id": 1480, "name": "geoip2" }, { "id": 1481, "name": "nonebot" }, { "id": 1482, "name": "wmi" }, { "id": 1483, "name": "win32com" } ], "last_checked_revision": "1a4c98d14f5b436b6f7e240c99980c5d5c315490\n" }, { "id": 349, "url": "https://github.com/logankilpatrick/ChatGPT-Plugins-Collection", "description": "An unofficial collection of Plugins for ChatGPT, in any programming language!", "stars": 666, "source_graph_repo_id": 60731132, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 906, "name": "quart" }, { "id": 4196, "name": "quart_cors" } ], "last_checked_revision": "bd572713fa47421b42728b4ff6936f538ac06463\n" }, { "id": 350, "url": "https://github.com/Sanjeev-Thiyagarajan/fastapi-course", "description": "", "stars": 739, "source_graph_repo_id": 56255099, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 38, "name": "pydantic" }, { "id": 60, "name": "psycopg2" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" } ], "last_checked_revision": "b614d22d67da0dab5619441d3f24a1a54508dcea\n" }, { "id": 351, "url": "https://github.com/awslabs/aws-lambda-web-adapter", "description": "Run web applications on AWS Lambda", "stars": 851, "source_graph_repo_id": 56035754, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 81, "name": "boto3" }, { "id": 292, "name": "flask" }, { "id": 2929, "name": "hello_world" } ], "last_checked_revision": "d1412dafb6cf7c198f388a00c5fb9c6c14b61a6c\n" }, { "id": 352, "url": "https://github.com/kadalu/kadalu", "description": "A lightweight Persistent storage solution for Kubernetes / OpenShift / Nomad using GlusterFS in background. More information at https://kadalu.tech", "stars": 674, "source_graph_repo_id": 39062103, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 49, "name": "grpc" }, { "id": 73, "name": "jinja2" }, { "id": 184, "name": "utils" }, { "id": 224, "name": "google" }, { "id": 430, "name": "urllib3" }, { "id": 497, "name": "prometheus_client" }, { "id": 1134, "name": "kubernetes" }, { "id": 1316, "name": "xxhash" }, { "id": 1395, "name": "kadalulib" }, { "id": 1396, "name": "kubectl_kadalu" }, { "id": 1397, "name": "kadalu_volgen" }, { "id": 1398, "name": "xattr" }, { "id": 1399, "name": "version" }, { "id": 1400, "name": "glustercli" } ], "last_checked_revision": "77ff63e7f8b21e818c019923f5040d8127b5ac6d\n" }, { "id": 353, "url": "https://github.com/mic1on/chatGPT-web", "description": "chatGPT\u79c1\u6709\u5316\u90e8\u7f72", "stars": 659, "source_graph_repo_id": 60284748, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" } ], "last_checked_revision": "432cccdd9d00e25ab6eb20a6202397b9b1f5c24f\n" }, { "id": 354, "url": "https://github.com/teamhide/fastapi-boilerplate", "description": "FastAPI boilerplate for real world production", "stars": 753, "source_graph_repo_id": 41185993, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 21, "name": "ujson" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 61, "name": "alembic" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 1061, "name": "jwt" } ], "last_checked_revision": "21ecdc5267dfdbe52720834b84b74c12a67997e8\n" }, { "id": 355, "url": "https://github.com/pgorecki/python-ddd", "description": "Python DDD example ", "stars": 753, "source_graph_repo_id": 38915345, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 476, "name": "modules" }, { "id": 772, "name": "config" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1413, "name": "bcrypt" }, { "id": 1613, "name": "dependency_injector" }, { "id": 1614, "name": "api" }, { "id": 1615, "name": "seedwork" }, { "id": 1616, "name": "sqlalchemy_json" }, { "id": 1617, "name": "pythonjsonlogger" } ], "last_checked_revision": "79f9558a8d6a7e97e7f7b3fdb084517fd43ee6b1\n" }, { "id": 356, "url": "https://github.com/breezedeus/pix2text", "description": "Pix In, Latex & Text Out. Recognize Chinese, English Texts, and Math Formulas from Images.", "stars": 915, "source_graph_repo_id": 59073461, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 105, "name": "timm" }, { "id": 876, "name": "pyperclip" }, { "id": 3874, "name": "pix2tex" }, { "id": 3875, "name": "cnocr" }, { "id": 3876, "name": "cnstd" } ], "last_checked_revision": "a5670642e1fefc987ac73ff4857cbbafa0683291\n" }, { "id": 357, "url": "https://github.com/BMW-InnovationLab/BMW-YOLOv4-Training-Automation", "description": "This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.", "stars": 633, "source_graph_repo_id": 39655256, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 446, "name": "tensorboardX" } ], "last_checked_revision": "c8d591c043fc8276616626d927ac01a28abbd240\n" }, { "id": 358, "url": "https://github.com/dcs-liberation/dcs_liberation", "description": "DCS World dynamic campaign.", "stars": 658, "source_graph_repo_id": 41820306, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 73, "name": "jinja2" }, { "id": 82, "name": "PIL" }, { "id": 115, "name": "packaging" }, { "id": 156, "name": "tabulate" }, { "id": 384, "name": "pyproj" }, { "id": 471, "name": "shapely" }, { "id": 538, "name": "pydantic_settings" }, { "id": 812, "name": "faker" }, { "id": 946, "name": "pytest_mock" }, { "id": 2823, "name": "shapefile" }, { "id": 2824, "name": "dcs" }, { "id": 2825, "name": "PySide6" }, { "id": 2826, "name": "lupa" } ], "last_checked_revision": "5b858886c0550fb7a592ca44d00852a2e649fa6f\n" }, { "id": 359, "url": "https://github.com/ttttupup/wxhelper", "description": "Hook WeChat / \u5fae\u4fe1\u9006\u5411", "stars": 1016, "source_graph_repo_id": 60022496, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 643, "name": "Crypto" } ], "last_checked_revision": "8b6e2d7160775d56797a37425f2cab8f8d1c3072\n" }, { "id": 360, "url": "https://github.com/streamsync-cloud/streamsync", "description": "No-code in the front, Python in the back. An open-source framework for creating data apps.", "stars": 975, "source_graph_repo_id": 57574601, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 161, "name": "matplotlib" }, { "id": 261, "name": "pyarrow" }, { "id": 278, "name": "plotly" }, { "id": 400, "name": "altair" }, { "id": 409, "name": "watchdog" }, { "id": 3707, "name": "streamsync" } ], "last_checked_revision": "8f3d6ebbb5832659108176e0f5be17cb70f69671\n" }, { "id": 361, "url": "https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg", "description": "Removes backgrounds from pictures. Extension for webui.", "stars": 874, "source_graph_repo_id": 60571803, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 118, "name": "gradio" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" }, { "id": 3931, "name": "rembg" } ], "last_checked_revision": "a4c07b857e73f3035f759876797fa6de986def3d\n" }, { "id": 362, "url": "https://github.com/primeqa/primeqa", "description": "The prime repository for state-of-the-art Multilingual Question Answering research and development.", "stars": 667, "source_graph_repo_id": 58434616, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 26, "name": "dateutil" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 152, "name": "rouge_score" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 180, "name": "apex" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 224, "name": "google" }, { "id": 246, "name": "sentence_transformers" }, { "id": 418, "name": "joblib" }, { "id": 430, "name": "urllib3" }, { "id": 442, "name": "filelock" }, { "id": 446, "name": "tensorboardX" }, { "id": 479, "name": "regex" }, { "id": 521, "name": "jsonlines" }, { "id": 534, "name": "torch_xla" }, { "id": 583, "name": "__main__" }, { "id": 615, "name": "faiss" }, { "id": 974, "name": "cachetools" }, { "id": 1167, "name": "apache_beam" }, { "id": 1421, "name": "sqlitedict" }, { "id": 1464, "name": "bitarray" }, { "id": 1503, "name": "ptvsd" }, { "id": 1814, "name": "utility" }, { "id": 2076, "name": "frozendict" }, { "id": 2512, "name": "stanza" }, { "id": 2787, "name": "pyserini" }, { "id": 3788, "name": "nlp" }, { "id": 3789, "name": "colbert" } ], "last_checked_revision": "4ae1b456dbe9f75276fe3a4fa169f01c2d4f6eb5\n" }, { "id": 363, "url": "https://github.com/whyiyhw/chatgpt-wechat", "description": "\u4f01\u4e1a\u5fae\u4fe1/\u5fae\u4fe1 \u5b89\u5168\u4f7f\u7528\u7684 ChatGPT \u4e2a\u4eba\u52a9\u624b\u5e94\u7528", "stars": 727, "source_graph_repo_id": 60324882, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 38, "name": "pydantic" }, { "id": 206, "name": "langchain" } ], "last_checked_revision": "fc6fbf4073230921605f69ef158d916226405d07\n" }, { "id": 364, "url": "https://github.com/dataquestio/project-walkthroughs", "description": "Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .", "stars": 735, "source_graph_repo_id": 56902011, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 38, "name": "pydantic" }, { "id": 251, "name": "playwright" }, { "id": 273, "name": "airflow" }, { "id": 292, "name": "flask" }, { "id": 543, "name": "peewee" }, { "id": 698, "name": "pydub" }, { "id": 802, "name": "xmltodict" }, { "id": 849, "name": "jax" }, { "id": 1060, "name": "pendulum" }, { "id": 2930, "name": "vosk" }, { "id": 3696, "name": "private" } ], "last_checked_revision": "c478153114a4e17701cc59ac9e68ec9a6a3ebbf2\n" }, { "id": 365, "url": "https://github.com/Helicone/helicone", "description": "", "stars": 841, "source_graph_repo_id": 60272455, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 60, "name": "psycopg2" }, { "id": 77, "name": "dotenv" }, { "id": 183, "name": "openai" }, { "id": 556, "name": "anthropic" }, { "id": 4131, "name": "helicone" }, { "id": 4132, "name": "lockfile" } ], "last_checked_revision": "b1537f6d6fd887e44f6dc116c1a651d80eeeca47\n" }, { "id": 366, "url": "https://github.com/PrettyPrinted/youtube_video_code", "description": "The code for all the YouTube videos I publish on YouTube.", "stars": 645, "source_graph_repo_id": 38742279, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 60, "name": "psycopg2" }, { "id": 61, "name": "alembic" }, { "id": 62, "name": "app" }, { "id": 66, "name": "celery" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 92, "name": "pymongo" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 251, "name": "playwright" }, { "id": 272, "name": "bson" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 365, "name": "hello" }, { "id": 408, "name": "socketio" }, { "id": 428, "name": "marshmallow" }, { "id": 547, "name": "databases" }, { "id": 587, "name": "flask_cors" }, { "id": 631, "name": "responses" }, { "id": 812, "name": "faker" }, { "id": 879, "name": "flask_socketio" }, { "id": 885, "name": "eventlet" }, { "id": 886, "name": "werkzeug" }, { "id": 909, "name": "tornado" }, { "id": 913, "name": "cherrypy" }, { "id": 963, "name": "simplejson" }, { "id": 970, "name": "meinheld" }, { "id": 971, "name": "bjoern" }, { "id": 978, "name": "paste" }, { "id": 1008, "name": "waitress" }, { "id": 1010, "name": "tortoise" }, { "id": 1061, "name": "jwt" }, { "id": 1071, "name": "markdown2" }, { "id": 1140, "name": "gunicorn" }, { "id": 1196, "name": "mako" }, { "id": 1219, "name": "flask_admin" }, { "id": 1229, "name": "flask_user" }, { "id": 1235, "name": "twisted" }, { "id": 1242, "name": "Cheetah" }, { "id": 1256, "name": "rest_framework" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1273, "name": "flask_pymongo" }, { "id": 1413, "name": "bcrypt" }, { "id": 1441, "name": "itsdangerous" }, { "id": 1463, "name": "gevent" }, { "id": 1474, "name": "wtforms" }, { "id": 1497, "name": "example" }, { "id": 1535, "name": "flask_login" }, { "id": 1697, "name": "flask_caching" }, { "id": 1707, "name": "flask_bootstrap" }, { "id": 1714, "name": "debug_toolbar" }, { "id": 1792, "name": "isodate" }, { "id": 1864, "name": "flask_jwt_extended" }, { "id": 1866, "name": "paypalrestsdk" }, { "id": 1872, "name": "stripe" }, { "id": 1874, "name": "flask_migrate" }, { "id": 2020, "name": "js" }, { "id": 2265, "name": "project" }, { "id": 2266, "name": "books" }, { "id": 2267, "name": "captcha" }, { "id": 2268, "name": "poll" }, { "id": 2269, "name": "fapws" }, { "id": 2270, "name": "sshtunnel" }, { "id": 2271, "name": "flask_wtf" }, { "id": 2272, "name": "pusher" }, { "id": 2273, "name": "flask_praetorian" }, { "id": 2274, "name": "foodtracker" }, { "id": 2275, "name": "diesel" }, { "id": 2276, "name": "helloworld" }, { "id": 2277, "name": "flask_uploads" }, { "id": 2278, "name": "flask_mail" }, { "id": 2279, "name": "rocket" }, { "id": 2280, "name": "flup" }, { "id": 2281, "name": "flask_session" }, { "id": 2282, "name": "store" }, { "id": 2283, "name": "celery_progress" }, { "id": 2284, "name": "flask_mysqldb" }, { "id": 2285, "name": "wtforms_alchemy" }, { "id": 2286, "name": "flask_security" }, { "id": 2287, "name": "gspread" }, { "id": 2288, "name": "flask_qa" }, { "id": 2289, "name": "dj_database_url" }, { "id": 2290, "name": "flask_dance" }, { "id": 2291, "name": "wtforms_sqlalchemy" }, { "id": 2292, "name": "flask_restx" }, { "id": 2354, "name": "django_celery_beat" }, { "id": 4476, "name": "django_tenants" }, { "id": 4606, "name": "redbeat" }, { "id": 4757, "name": "flask_mailman" } ], "last_checked_revision": "7c19e3f72f509768bbc087a4b643962a876780a5\n" }, { "id": 367, "url": "https://github.com/meta-soul/MetaSpore", "description": "A unified end-to-end machine intelligence platform", "stars": 621, "source_graph_repo_id": 57669962, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 58, "name": "pymilvus" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 92, "name": "pymongo" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 161, "name": "matplotlib" }, { "id": 186, "name": "seaborn" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 246, "name": "sentence_transformers" }, { "id": 261, "name": "pyarrow" }, { "id": 287, "name": "attrs" }, { "id": 292, "name": "flask" }, { "id": 412, "name": "cloudpickle" }, { "id": 425, "name": "fsspec" }, { "id": 426, "name": "lightgbm" }, { "id": 452, "name": "onnxruntime" }, { "id": 468, "name": "onnx" }, { "id": 491, "name": "data" }, { "id": 526, "name": "onnxmltools" }, { "id": 615, "name": "faiss" }, { "id": 620, "name": "networkx" }, { "id": 653, "name": "onnxconverter_common" }, { "id": 675, "name": "modeling" }, { "id": 741, "name": "gensim" }, { "id": 760, "name": "hyperopt" }, { "id": 765, "name": "attr" }, { "id": 799, "name": "xgboost" }, { "id": 819, "name": "pyspark" }, { "id": 909, "name": "tornado" }, { "id": 948, "name": "apscheduler" }, { "id": 1028, "name": "ruamel" }, { "id": 1096, "name": "cattrs" }, { "id": 1115, "name": "grpc_reflection" }, { "id": 1123, "name": "common" }, { "id": 1339, "name": "scikitplot" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1690, "name": "consul" }, { "id": 3731, "name": "metaspore" }, { "id": 3732, "name": "metaspore_pb2" }, { "id": 3733, "name": "hf_preprocessor" }, { "id": 3734, "name": "findspark" }, { "id": 3735, "name": "synapse" }, { "id": 3736, "name": "metasporeflow" }, { "id": 3737, "name": "metaspore_pb2_grpc" }, { "id": 3738, "name": "mkl" }, { "id": 3739, "name": "losses" }, { "id": 3740, "name": "indexing" } ], "last_checked_revision": "dddd4e904910ced58ba907725d67a9b3c76a4bec\n" }, { "id": 368, "url": "https://github.com/amisadmin/fastapi-amis-admin", "description": "FastAPI-Amis-Admin is a high-performance, efficient and easily extensible FastAPI admin framework. Inspired by django-admin, and has as many powerful functions as django-admin.", "stars": 762, "source_graph_repo_id": 57329582, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 21, "name": "ujson" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 236, "name": "sqlmodel" }, { "id": 538, "name": "pydantic_settings" }, { "id": 1083, "name": "aiofiles" }, { "id": 1512, "name": "sqlalchemy_database" }, { "id": 1513, "name": "fastapi_user_auth" }, { "id": 5596, "name": "sqlmodelx" } ], "last_checked_revision": "69b18daf80e3a292d1736f074e82d52fb3d871b5\n" }, { "id": 369, "url": "https://github.com/nnsvs/nnsvs", "description": "Neural network-based singing voice synthesis library for research", "stars": 631, "source_graph_repo_id": 40701599, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 39, "name": "streamlit" }, { "id": 97, "name": "omegaconf" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 180, "name": "apex" }, { "id": 186, "name": "seaborn" }, { "id": 418, "name": "joblib" }, { "id": 439, "name": "torchaudio" }, { "id": 449, "name": "hydra" }, { "id": 754, "name": "librosa" }, { "id": 1452, "name": "ipdb" }, { "id": 1813, "name": "pyworld" }, { "id": 1835, "name": "soundfile" }, { "id": 1836, "name": "parallel_wavegan" }, { "id": 2741, "name": "parselmouth" }, { "id": 2742, "name": "nnmnkwii" }, { "id": 2743, "name": "jaconv" }, { "id": 2744, "name": "pysptk" }, { "id": 2745, "name": "pyloudnorm" }, { "id": 2746, "name": "utaupy" }, { "id": 2747, "name": "fastdtw" }, { "id": 2748, "name": "pysinsy" } ], "last_checked_revision": "4415519486422e01df875f2a8afd69aed76286dc\n" }, { "id": 370, "url": "https://github.com/hpcaitech/EnergonAI", "description": "Large-scale model inference.", "stars": 621, "source_graph_repo_id": 58046776, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 147, "name": "sanic" }, { "id": 151, "name": "bitsandbytes" }, { "id": 175, "name": "sanic_ext" }, { "id": 190, "name": "locust" }, { "id": 1496, "name": "accimage" }, { "id": 1497, "name": "example" }, { "id": 1498, "name": "test_engine" }, { "id": 1499, "name": "colossalai" }, { "id": 1500, "name": "readerwriterlock" } ], "last_checked_revision": "56b35f3c06eaac11b1bee633d1e836563f74bcea\n" }, { "id": 371, "url": "https://github.com/simon987/sist2", "description": "Lightning-fast file system indexer and search tool", "stars": 669, "source_graph_repo_id": 39417338, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 399, "name": "orjson" }, { "id": 485, "name": "lmdb" }, { "id": 574, "name": "websockets" }, { "id": 2410, "name": "hexlib" }, { "id": 2411, "name": "pycron" } ], "last_checked_revision": "410283f14a41c1b034135bfc10d850b0f0f6e8ee\n" }, { "id": 372, "url": "https://github.com/trallnag/prometheus-fastapi-instrumentator", "description": "Instrument your FastAPI with Prometheus metrics.", "stars": 725, "source_graph_repo_id": 41498605, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 37, "name": "httpx" }, { "id": 235, "name": "prometheus_fastapi_instrumentator" }, { "id": 497, "name": "prometheus_client" }, { "id": 1363, "name": "devtools" } ], "last_checked_revision": "b645ccb618ce9cbe8fd935868f359ebbc12ea217\n" }, { "id": 373, "url": "https://github.com/xbzstudio/Timeless-Sydney", "description": "\u597d\u7528\u7684New Bing web\u5ba2\u6237\u7aef\uff0c\u529f\u80fd\u4f17\u591a~", "stars": 671, "source_graph_repo_id": 60934657, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 4223, "name": "BingImageCreator" }, { "id": 4224, "name": "EdgeGPT" } ], "last_checked_revision": "a4390092ca3c691b8aac4ee43779a1469041e2d3\n" }, { "id": 374, "url": "https://github.com/GRVYDEV/S.A.T.U.R.D.A.Y", "description": "A toolbox for working with WebRTC, Audio and AI", "stars": 636, "source_graph_repo_id": 61059337, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 1629, "name": "faster_whisper" }, { "id": 4161, "name": "TTS" } ], "last_checked_revision": "18b40f751bb663f4d8f9fe01c58772aa59f831a4\n" }, { "id": 375, "url": "https://github.com/yk/gpt-4chan-public", "description": "Code for GPT-4chan", "stars": 594, "source_graph_repo_id": 58075464, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 22, "name": "bs4" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 80, "name": "tensorflow" }, { "id": 87, "name": "tokenizers" }, { "id": 127, "name": "tqdm" }, { "id": 139, "name": "model" }, { "id": 156, "name": "tabulate" }, { "id": 245, "name": "absl" }, { "id": 849, "name": "jax" }, { "id": 893, "name": "smart_open" }, { "id": 894, "name": "optax" }, { "id": 895, "name": "lm_eval" }, { "id": 1417, "name": "mesh_transformer" } ], "last_checked_revision": "71c665d258fce873fa9088452dcad56e8ca07001\n" }, { "id": 376, "url": "https://github.com/msoedov/langcorn", "description": "\u26d3\ufe0f Serving LangChain LLM apps and agents automagically with FastApi. LLMops", "stars": 766, "source_graph_repo_id": 60834046, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 145, "name": "fire" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 1451, "name": "langchain_experimental" } ], "last_checked_revision": "498c0c19da3ac106c0600c4576f44f295571a696\n" }, { "id": 377, "url": "https://github.com/abhishekkrthakur/autoxgb", "description": "XGBoost + Optuna", "stars": 609, "source_graph_repo_id": 56315302, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 418, "name": "joblib" }, { "id": 533, "name": "optuna" }, { "id": 799, "name": "xgboost" }, { "id": 3226, "name": "autoxgb" } ], "last_checked_revision": "334a0410466fbbd68d0f7c67acc2cb949b3d6fdc\n" }, { "id": 378, "url": "https://github.com/patrickloeber/python-fun", "description": "Some fun and useful projects with Python", "stars": 646, "source_graph_repo_id": 41546572, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 39, "name": "streamlit" }, { "id": 68, "name": "sqlalchemy" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 138, "name": "nltk" }, { "id": 278, "name": "plotly" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 796, "name": "pygame" }, { "id": 886, "name": "werkzeug" }, { "id": 1076, "name": "playsound" }, { "id": 1088, "name": "replicate" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1748, "name": "speech_recognition" }, { "id": 1750, "name": "gtts" }, { "id": 2789, "name": "fbprophet" }, { "id": 2790, "name": "yfinance" } ], "last_checked_revision": "96dd56da96ad6b421bfaca13d842ad2326e5395d\n" }, { "id": 379, "url": "https://github.com/identixone/fastapi_contrib", "description": "Opinionated set of utilities on top of FastAPI", "stars": 582, "source_graph_repo_id": 39212117, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 21, "name": "ujson" }, { "id": 38, "name": "pydantic" }, { "id": 92, "name": "pymongo" }, { "id": 98, "name": "pytz" }, { "id": 272, "name": "bson" }, { "id": 1007, "name": "motor" }, { "id": 1409, "name": "opentracing" }, { "id": 1410, "name": "jaeger_client" } ], "last_checked_revision": "e61ecaa3fc114aebb89f4ced28b75bb6dfd21f05\n" }, { "id": 380, "url": "https://github.com/kedro-org/kedro-viz", "description": "Visualise your Kedro data and machine-learning pipelines and track your experiments. ", "stars": 614, "source_graph_repo_id": 38956017, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 161, "name": "matplotlib" }, { "id": 186, "name": "seaborn" }, { "id": 260, "name": "IPython" }, { "id": 278, "name": "plotly" }, { "id": 355, "name": "importlib_metadata" }, { "id": 399, "name": "orjson" }, { "id": 425, "name": "fsspec" }, { "id": 500, "name": "graphql" }, { "id": 541, "name": "strawberry" }, { "id": 620, "name": "networkx" }, { "id": 794, "name": "moto" }, { "id": 941, "name": "semver" }, { "id": 1206, "name": "toposort" }, { "id": 1347, "name": "recommonmark" }, { "id": 2358, "name": "kedro_datasets" }, { "id": 2359, "name": "behave" }, { "id": 2360, "name": "features" }, { "id": 2361, "name": "kedro" }, { "id": 2362, "name": "demo_project" }, { "id": 2363, "name": "kedro_telemetry" }, { "id": 2364, "name": "secure" }, { "id": 2365, "name": "kedro_viz" }, { "id": 2366, "name": "watchgod" } ], "last_checked_revision": "7213c7e3f0fd52a85c21b2804c990c8529e6f239\n" }, { "id": 381, "url": "https://github.com/ClimenteA/flaskwebgui", "description": "Create desktop applications with Flask/Django/FastAPI!", "stars": 611, "source_graph_repo_id": 39347967, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 34, "name": "uvicorn" }, { "id": 122, "name": "psutil" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 879, "name": "flask_socketio" }, { "id": 883, "name": "flaskwebgui" }, { "id": 1008, "name": "waitress" }, { "id": 1418, "name": "pyautogui" }, { "id": 1419, "name": "nicegui" } ], "last_checked_revision": "1e7d9cadb9502b0aff9dcab7304140ea3640639a\n" }, { "id": 382, "url": "https://github.com/developmentseed/titiler", "description": "Build your own Raster dynamic map tile services", "stars": 628, "source_graph_repo_id": 40928869, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 73, "name": "jinja2" }, { "id": 538, "name": "pydantic_settings" }, { "id": 765, "name": "attr" }, { "id": 963, "name": "simplejson" }, { "id": 1130, "name": "mangum" }, { "id": 2675, "name": "morecantile" }, { "id": 2676, "name": "rasterio" }, { "id": 2677, "name": "pystac" }, { "id": 2764, "name": "titiler" }, { "id": 2765, "name": "rio_cogeo" }, { "id": 2766, "name": "rio_stac" }, { "id": 2767, "name": "geojson_pydantic" }, { "id": 2768, "name": "cogeo_mosaic" }, { "id": 2769, "name": "starlette_cramjam" }, { "id": 2770, "name": "aws_cdk" }, { "id": 2771, "name": "rio_tiler" }, { "id": 2772, "name": "constructs" } ], "last_checked_revision": "0fddd7ed268557e82a5e1520cdd7fdf084afa1b8\n" }, { "id": 383, "url": "https://github.com/lyz-code/blue-book", "description": "My personal knowledge repository", "stars": 623, "source_graph_repo_id": 40984405, "dependencies": [], "last_checked_revision": null }, { "id": 384, "url": "https://github.com/eser/hayalet-sevgilim-sarki-sozleri", "description": "", "stars": 559, "source_graph_repo_id": 58230663, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 348, "name": "django" } ], "last_checked_revision": "ea0c32b0b19ede19fa52c3f8e2a5d67e43e57c99\n" }, { "id": 385, "url": "https://github.com/hackingthemarkets/tradekit", "description": "a collection of open source server components and Python libraries for financial data projects and automated trading", "stars": 598, "source_graph_repo_id": 42755499, "dependencies": [ { "id": 3, "name": "fastapi" } ], "last_checked_revision": "821b6ba835b2e2ca0c75677ef43cdc20c12da836\n" }, { "id": 386, "url": "https://github.com/langchain-ai/auto-evaluator", "description": "", "stars": 670, "source_graph_repo_id": 60915408, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 19, "name": "requests" }, { "id": 43, "name": "pinecone" }, { "id": 74, "name": "sentry_sdk" }, { "id": 77, "name": "dotenv" }, { "id": 86, "name": "sse_starlette" }, { "id": 206, "name": "langchain" }, { "id": 400, "name": "altair" }, { "id": 615, "name": "faiss" }, { "id": 2331, "name": "pypdf" }, { "id": 4227, "name": "kor" } ], "last_checked_revision": "a18e71fac95006238bfedb0f6aa9c6bd61244066\n" }, { "id": 387, "url": "https://github.com/yezz123/authx", "description": "Ready-to-use and customizable Authentications and Oauth2 management for FastAPI \u2728", "stars": 609, "source_graph_repo_id": 56344745, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 26, "name": "dateutil" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 64, "name": "jose" }, { "id": 98, "name": "pytz" }, { "id": 497, "name": "prometheus_client" }, { "id": 953, "name": "freezegun" }, { "id": 1061, "name": "jwt" }, { "id": 1441, "name": "itsdangerous" }, { "id": 2018, "name": "pyinstrument" } ], "last_checked_revision": "6b2b536eb894b5d129098c0e071d13f7734adab6\n" }, { "id": 388, "url": "https://github.com/tiangolo/uvicorn-gunicorn-docker", "description": "Docker image with Uvicorn managed by Gunicorn for high-performance web applications in Python with performance auto-tuning. Optionally with Alpine Linux.", "stars": 569, "source_graph_repo_id": 39963531, "dependencies": [ { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 778, "name": "docker" } ], "last_checked_revision": "49d3538121828a20f22b609c8278246e94a71d82\n" }, { "id": 389, "url": "https://github.com/IndominusByte/fastapi-jwt-auth", "description": "FastAPI extension that provides JWT Auth support (secure, easy to use, and lightweight) ", "stars": 575, "source_graph_repo_id": 41867196, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 1061, "name": "jwt" } ], "last_checked_revision": "a6c06193319da0e4976c7472966f3a2891e0d50c\n" }, { "id": 390, "url": "https://github.com/novoda/spikes", "description": "Where ideas & concepts are born & incubated", "stars": 542, "source_graph_repo_id": 40154126, "dependencies": [], "last_checked_revision": null }, { "id": 391, "url": "https://github.com/polarsource/polar", "description": "Polar is a platform for open source maintainers to get better funding", "stars": 594, "source_graph_repo_id": 60998737, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 74, "name": "sentry_sdk" }, { "id": 86, "name": "sse_starlette" }, { "id": 202, "name": "resend" }, { "id": 210, "name": "slack_sdk" }, { "id": 373, "name": "tests" }, { "id": 946, "name": "pytest_mock" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1210, "name": "sendgrid" }, { "id": 1308, "name": "slugify" }, { "id": 1406, "name": "httpx_oauth" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1437, "name": "respx" }, { "id": 1541, "name": "arq" }, { "id": 1545, "name": "babel" }, { "id": 1683, "name": "structlog" }, { "id": 1856, "name": "citext" }, { "id": 1872, "name": "stripe" }, { "id": 2951, "name": "textual" }, { "id": 3937, "name": "discord_webhook" }, { "id": 4240, "name": "polar" }, { "id": 4241, "name": "githubkit" }, { "id": 4768, "name": "halo" }, { "id": 5627, "name": "safe_redirect_url" }, { "id": 5748, "name": "polar_backoffice" } ], "last_checked_revision": "36ad0af418e71c18d39899ebfbf0297576424f02\n" }, { "id": 392, "url": "https://github.com/janvarev/Irene-Voice-Assistant", "description": "\u0418\u0440\u0438\u043d\u0430 - \u0440\u0443\u0441\u0441\u043a\u0438\u0439 \u0433\u043e\u043b\u043e\u0441\u043e\u0432\u043e\u0439 \u0430\u0441\u0441\u0438\u0441\u0442\u0435\u043d\u0442 \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u043e\u0444\u0444\u043b\u0430\u0439\u043d. \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442 \u0441\u043a\u0438\u043b\u043b\u044b \u0447\u0435\u0440\u0435\u0437 \u043f\u043b\u0430\u0433\u0438\u043d\u044b.", "stars": 637, "source_graph_repo_id": 57309817, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 34, "name": "uvicorn" }, { "id": 118, "name": "gradio" }, { "id": 183, "name": "openai" }, { "id": 252, "name": "fastapi_utils" }, { "id": 430, "name": "urllib3" }, { "id": 469, "name": "termcolor" }, { "id": 574, "name": "websockets" }, { "id": 1418, "name": "pyautogui" }, { "id": 1737, "name": "pyttsx3" }, { "id": 1748, "name": "speech_recognition" }, { "id": 1835, "name": "soundfile" }, { "id": 2930, "name": "vosk" }, { "id": 3662, "name": "sounddevice" }, { "id": 3751, "name": "wikipediaapi" }, { "id": 3752, "name": "audioplayer" }, { "id": 3753, "name": "vosk_tts" }, { "id": 3754, "name": "win32clipboard" }, { "id": 3755, "name": "simpleaudio" }, { "id": 3756, "name": "rhvoice_wrapper" } ], "last_checked_revision": "00fb66bfa504bb8f527a6e23902d75f6175dcd05\n" }, { "id": 393, "url": "https://github.com/underneathall/pinferencia", "description": "Python + Inference - Model Deployment library in Python. Simplest model inference server ever.", "stars": 545, "source_graph_repo_id": 57749768, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 138, "name": "nltk" }, { "id": 148, "name": "main" }, { "id": 251, "name": "playwright" }, { "id": 418, "name": "joblib" }, { "id": 714, "name": "paddlehub" }, { "id": 1139, "name": "dill" }, { "id": 3749, "name": "strictyaml" }, { "id": 3750, "name": "pytorch_pretrained_biggan" } ], "last_checked_revision": "7a11c216b96f6878dec4896fd256fb0192dda4ab\n" }, { "id": 394, "url": "https://github.com/google/sqlcommenter", "description": "", "stars": 553, "source_graph_repo_id": 39911032, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 60, "name": "psycopg2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 155, "name": "six" }, { "id": 224, "name": "google" }, { "id": 259, "name": "asgiref" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 349, "name": "mock" }, { "id": 531, "name": "opentelemetry" }, { "id": 1467, "name": "forbiddenfruit" } ], "last_checked_revision": "c447d218a1b8ff628571b22cf4e74f2a6fe2e38a\n" }, { "id": 395, "url": "https://github.com/DeanWay/fastapi-versioning", "description": "api versioning for fastapi web applications", "stars": 571, "source_graph_repo_id": 39781541, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 18, "name": "setuptools" }, { "id": 38, "name": "pydantic" } ], "last_checked_revision": "18d480f5bb067088f157f235a673cb4c65ec77d5\n" }, { "id": 396, "url": "https://github.com/bhoov/exbert", "description": "A Visual Analysis Tool to Explore Learned Representations in Transformers Models", "stars": 548, "source_graph_repo_id": 39354749, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 87, "name": "tokenizers" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 152, "name": "rouge_score" }, { "id": 155, "name": "six" }, { "id": 177, "name": "h5py" }, { "id": 180, "name": "apex" }, { "id": 184, "name": "utils" }, { "id": 200, "name": "models" }, { "id": 245, "name": "absl" }, { "id": 255, "name": "spacy" }, { "id": 373, "name": "tests" }, { "id": 415, "name": "torchtext" }, { "id": 429, "name": "wget" }, { "id": 442, "name": "filelock" }, { "id": 446, "name": "tensorboardX" }, { "id": 461, "name": "ftfy" }, { "id": 479, "name": "regex" }, { "id": 519, "name": "sentencepiece" }, { "id": 534, "name": "torch_xla" }, { "id": 615, "name": "faiss" }, { "id": 616, "name": "seqeval" }, { "id": 697, "name": "Mykytea" }, { "id": 706, "name": "pythainlp" }, { "id": 720, "name": "rouge" }, { "id": 772, "name": "config" }, { "id": 822, "name": "py3nvml" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 862, "name": "fairseq" }, { "id": 974, "name": "cachetools" }, { "id": 1004, "name": "colorama" }, { "id": 1386, "name": "sacrebleu" }, { "id": 1501, "name": "MeCab" }, { "id": 1503, "name": "ptvsd" }, { "id": 1505, "name": "sacremoses" }, { "id": 1621, "name": "fastprogress" }, { "id": 2393, "name": "model_bertabs" }, { "id": 2394, "name": "transformer_base" }, { "id": 2395, "name": "data_processing" }, { "id": 2396, "name": "transformer_details" }, { "id": 2397, "name": "mosestokenizer" }, { "id": 2398, "name": "utils_squad_evaluate" }, { "id": 2399, "name": "utils_squad" }, { "id": 2400, "name": "spacyface" } ], "last_checked_revision": "d27b6236aa51b185f7d3fed904f25cabe3baeb1a\n" }, { "id": 397, "url": "https://github.com/LemonQu-GIT/ChatGLM-6B-Engineering", "description": "ChatGLM-6B Prompt Engineering Project", "stars": 567, "source_graph_repo_id": 60864126, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 82, "name": "PIL" }, { "id": 86, "name": "sse_starlette" }, { "id": 96, "name": "rich" }, { "id": 118, "name": "gradio" }, { "id": 208, "name": "mdtex2html" }, { "id": 410, "name": "selenium" }, { "id": 691, "name": "pdfplumber" }, { "id": 1068, "name": "docx" }, { "id": 1416, "name": "zhdate" } ], "last_checked_revision": "b36fc5e1efbafb0c13eac06fbd859394d8cf65c5\n" }, { "id": 398, "url": "https://github.com/mosaicml/streaming", "description": "A Data Streaming Library for Efficient Neural Network Training", "stars": 717, "source_graph_repo_id": 59328399, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 28, "name": "_pytest" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 46, "name": "azure" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 97, "name": "omegaconf" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 182, "name": "wandb" }, { "id": 203, "name": "pypandoc" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 245, "name": "absl" }, { "id": 261, "name": "pyarrow" }, { "id": 341, "name": "paramiko" }, { "id": 351, "name": "sphinx" }, { "id": 380, "name": "core" }, { "id": 400, "name": "altair" }, { "id": 442, "name": "filelock" }, { "id": 509, "name": "docutils" }, { "id": 794, "name": "moto" }, { "id": 819, "name": "pyspark" }, { "id": 1316, "name": "xxhash" }, { "id": 1355, "name": "brotli" }, { "id": 1448, "name": "humanize" }, { "id": 1572, "name": "snappy" }, { "id": 2002, "name": "databricks" }, { "id": 3908, "name": "zstd" }, { "id": 3909, "name": "oci" }, { "id": 4961, "name": "interfaces" }, { "id": 4962, "name": "sortedcollections" } ], "last_checked_revision": "44def69db5acc5ac1d884ae615587abc053fdc19\n" }, { "id": 399, "url": "https://github.com/TurboWay/spiderman", "description": "\u57fa\u4e8e scrapy-redis \u7684\u901a\u7528\u5206\u5e03\u5f0f\u722c\u866b\u6846\u67b6", "stars": 545, "source_graph_repo_id": 40959360, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 56, "name": "redis" }, { "id": 59, "name": "elasticsearch" }, { "id": 68, "name": "sqlalchemy" }, { "id": 92, "name": "pymongo" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 341, "name": "paramiko" }, { "id": 643, "name": "Crypto" }, { "id": 1057, "name": "kafka" }, { "id": 1137, "name": "happybase" }, { "id": 1364, "name": "DorisClient" }, { "id": 1365, "name": "scrapy_redis" }, { "id": 1366, "name": "scrapy" }, { "id": 1367, "name": "scrapy_splash" }, { "id": 1368, "name": "hdfs" }, { "id": 1369, "name": "impala" } ], "last_checked_revision": "61de7f37c2d0a8cf09b933a91076088351f7cd5a\n" }, { "id": 400, "url": "https://github.com/shawroad/NLP_pytorch_project", "description": "Embedding, NMT, Text_Classification, Text_Generation, NER etc.", "stars": 539, "source_graph_repo_id": 41172650, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 54, "name": "loguru" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 94, "name": "clip" }, { "id": 111, "name": "einops" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 177, "name": "h5py" }, { "id": 178, "name": "peft" }, { "id": 180, "name": "apex" }, { "id": 184, "name": "utils" }, { "id": 189, "name": "accelerate" }, { "id": 214, "name": "json5" }, { "id": 223, "name": "botocore" }, { "id": 245, "name": "absl" }, { "id": 255, "name": "spacy" }, { "id": 292, "name": "flask" }, { "id": 415, "name": "torchtext" }, { "id": 426, "name": "lightgbm" }, { "id": 442, "name": "filelock" }, { "id": 446, "name": "tensorboardX" }, { "id": 461, "name": "ftfy" }, { "id": 479, "name": "regex" }, { "id": 514, "name": "tvm" }, { "id": 519, "name": "sentencepiece" }, { "id": 521, "name": "jsonlines" }, { "id": 551, "name": "deepspeed" }, { "id": 616, "name": "seqeval" }, { "id": 697, "name": "Mykytea" }, { "id": 706, "name": "pythainlp" }, { "id": 714, "name": "paddlehub" }, { "id": 741, "name": "gensim" }, { "id": 772, "name": "config" }, { "id": 857, "name": "keras" }, { "id": 862, "name": "fairseq" }, { "id": 1501, "name": "MeCab" }, { "id": 1505, "name": "sacremoses" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 2100, "name": "data_utils" }, { "id": 2447, "name": "pytorch_pretrained_bert" }, { "id": 2827, "name": "mogrifier" }, { "id": 2828, "name": "nlpcda" }, { "id": 2829, "name": "model_base" }, { "id": 2830, "name": "icetk" }, { "id": 2831, "name": "data_helper" }, { "id": 2832, "name": "keybert" }, { "id": 2833, "name": "execjs" }, { "id": 2834, "name": "torchcrf" }, { "id": 2835, "name": "quantization" } ], "last_checked_revision": "1272fed2dc8fef78a9ded0f1ae1644d613a3b57b\n" }, { "id": 401, "url": "https://github.com/mfreeborn/fastapi-sqlalchemy", "description": "Adds simple SQLAlchemy support to FastAPI", "stars": 550, "source_graph_repo_id": 39920705, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 68, "name": "sqlalchemy" } ], "last_checked_revision": "3d182f202cb673a09c52b07fd2d52cb57ce382c5\n" }, { "id": 402, "url": "https://github.com/sabuhish/fastapi-mail", "description": "Fastapi mail system sending mails(individual, bulk) attachments(individual, bulk)", "stars": 555, "source_graph_repo_id": 40643805, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 13, "name": "pytest" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 73, "name": "jinja2" }, { "id": 538, "name": "pydantic_settings" }, { "id": 544, "name": "email_validator" }, { "id": 1067, "name": "dns" }, { "id": 1357, "name": "blinker" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1414, "name": "fakeredis" }, { "id": 1415, "name": "aiosmtplib" } ], "last_checked_revision": "d74266dc7097df6dc297bab842d7c60702ef0606\n" }, { "id": 403, "url": "https://github.com/Jcharis/Machine-Learning-Web-Apps", "description": "Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)", "stars": 523, "source_graph_repo_id": 39984266, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 39, "name": "streamlit" }, { "id": 82, "name": "PIL" }, { "id": 138, "name": "nltk" }, { "id": 161, "name": "matplotlib" }, { "id": 186, "name": "seaborn" }, { "id": 255, "name": "spacy" }, { "id": 292, "name": "flask" }, { "id": 418, "name": "joblib" }, { "id": 692, "name": "wordcloud" }, { "id": 741, "name": "gensim" }, { "id": 886, "name": "werkzeug" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1707, "name": "flask_bootstrap" }, { "id": 2137, "name": "textblob" }, { "id": 2277, "name": "flask_uploads" }, { "id": 2540, "name": "sumy" }, { "id": 2541, "name": "spamdetector" }, { "id": 2542, "name": "flaskext" }, { "id": 2543, "name": "flask_material" } ], "last_checked_revision": "a6996b634d98ccec4701ac8934016e8175b60eb5\n" }, { "id": 404, "url": "https://github.com/thatmattlove/hyperglass", "description": "hyperglass is the network looking glass that tries to make the internet better.", "stars": 538, "source_graph_repo_id": 38830806, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 122, "name": "psutil" }, { "id": 341, "name": "paramiko" }, { "id": 438, "name": "cpuinfo" }, { "id": 573, "name": "inquirer" }, { "id": 802, "name": "xmltodict" }, { "id": 1061, "name": "jwt" }, { "id": 1140, "name": "gunicorn" }, { "id": 1693, "name": "aredis" }, { "id": 2262, "name": "netmiko" }, { "id": 2263, "name": "scrapli" }, { "id": 2264, "name": "favicons" } ], "last_checked_revision": "5e5acae4aa54e876940a889f94e44a61a333fe3b\n" }, { "id": 405, "url": "https://github.com/scaleapi/llm-engine", "description": "Scale LLM Engine public repository", "stars": 676, "source_graph_repo_id": 61358542, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 56, "name": "redis" }, { "id": 60, "name": "psycopg2" }, { "id": 61, "name": "alembic" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 86, "name": "sse_starlette" }, { "id": 89, "name": "triton_python_backend_utils" }, { "id": 98, "name": "pytz" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 185, "name": "huggingface_hub" }, { "id": 223, "name": "botocore" }, { "id": 264, "name": "sseclient" }, { "id": 319, "name": "kombu" }, { "id": 373, "name": "tests" }, { "id": 399, "name": "orjson" }, { "id": 412, "name": "cloudpickle" }, { "id": 421, "name": "dataclasses_json" }, { "id": 457, "name": "launch" }, { "id": 558, "name": "vllm" }, { "id": 572, "name": "croniter" }, { "id": 637, "name": "datadog" }, { "id": 673, "name": "multiprocess" }, { "id": 765, "name": "attr" }, { "id": 778, "name": "docker" }, { "id": 893, "name": "smart_open" }, { "id": 933, "name": "plugins" }, { "id": 957, "name": "aioredis" }, { "id": 974, "name": "cachetools" }, { "id": 1134, "name": "kubernetes" }, { "id": 1360, "name": "aiobotocore" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1449, "name": "stringcase" }, { "id": 1626, "name": "aioboto3" }, { "id": 2225, "name": "ddtrace" }, { "id": 3764, "name": "kubernetes_asyncio" }, { "id": 4261, "name": "xid" }, { "id": 4262, "name": "llm_engine_server" }, { "id": 4263, "name": "kubeconfig" }, { "id": 4264, "name": "llmengine" }, { "id": 4265, "name": "json_log_formatter" }, { "id": 4266, "name": "testing" }, { "id": 4267, "name": "mypy_boto3_sqs" }, { "id": 4379, "name": "model_engine_server" } ], "last_checked_revision": "d0061f24bc64c708f6716234dc88f206d29a7f60\n" }, { "id": 406, "url": "https://github.com/anyscale/academy", "description": "Ray tutorials from Anyscale", "stars": 534, "source_graph_repo_id": 40941718, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 84, "name": "torchvision" }, { "id": 127, "name": "tqdm" }, { "id": 381, "name": "holoviews" }, { "id": 442, "name": "filelock" }, { "id": 562, "name": "gym" }, { "id": 799, "name": "xgboost" }, { "id": 824, "name": "bokeh" }, { "id": 1906, "name": "recsim" }, { "id": 2791, "name": "paretoset" }, { "id": 2792, "name": "rllib_recsim" } ], "last_checked_revision": "ebd151134127168162c1175ed1c7da979e475a83\n" }, { "id": 407, "url": "https://github.com/triton-inference-server/pytriton", "description": "PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.", "stars": 597, "source_graph_repo_id": 60644501, "dependencies": [ { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 49, "name": "grpc" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 85, "name": "tritonclient" }, { "id": 89, "name": "triton_python_backend_utils" }, { "id": 97, "name": "omegaconf" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 185, "name": "huggingface_hub" }, { "id": 224, "name": "google" }, { "id": 442, "name": "filelock" }, { "id": 804, "name": "cupy" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 849, "name": "jax" }, { "id": 1065, "name": "async_timeout" }, { "id": 1116, "name": "flax" }, { "id": 1151, "name": "tensorflow_hub" }, { "id": 1348, "name": "nvidia" }, { "id": 1377, "name": "zmq" }, { "id": 1459, "name": "wrapt" }, { "id": 1463, "name": "gevent" }, { "id": 1506, "name": "typing_inspect" }, { "id": 2555, "name": "sh" }, { "id": 3850, "name": "nemo" }, { "id": 4155, "name": "auditwheel" }, { "id": 4156, "name": "nvtx" }, { "id": 4157, "name": "tritongrpcclient" }, { "id": 4158, "name": "tritonclientutils" } ], "last_checked_revision": "634ed1d3250709171f9ccb20060854ce13774a68\n" }, { "id": 408, "url": "https://github.com/MushroomMaula/fastapi_login", "description": "FastAPI-Login tries to provide similar functionality as Flask-Login does.", "stars": 538, "source_graph_repo_id": 40368997, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 62, "name": "app" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 77, "name": "dotenv" }, { "id": 106, "name": "anyio" }, { "id": 215, "name": "cryptography" }, { "id": 538, "name": "pydantic_settings" }, { "id": 951, "name": "pytest_lazyfixture" }, { "id": 1061, "name": "jwt" }, { "id": 1411, "name": "async_asgi_testclient" } ], "last_checked_revision": "76022c3d662cf234c81ba3d43dd041909b8376e0\n" }, { "id": 409, "url": "https://github.com/pact-foundation/pact-python", "description": "Python version of Pact. Enables consumer driven contract testing, providing a mock service and DSL for the consumer project, and interaction playback and verification for the service provider project.", "stars": 517, "source_graph_repo_id": 11673100, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 76, "name": "click" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 155, "name": "six" }, { "id": 292, "name": "flask" }, { "id": 349, "name": "mock" }, { "id": 689, "name": "src" }, { "id": 929, "name": "yarl" }, { "id": 930, "name": "multidict" }, { "id": 1129, "name": "testcontainers" }, { "id": 1680, "name": "pytest_bdd" }, { "id": 2332, "name": "cffi" }, { "id": 3142, "name": "hatchling" } ], "last_checked_revision": "a95e499b30cf91adce3be625e5fe23f914588303\n" }, { "id": 410, "url": "https://github.com/AgnostiqHQ/covalent", "description": "Pythonic tool for running machine-learning/high performance/quantum-computing workflows in heterogeneous environments.", "stars": 599, "source_graph_repo_id": 57235333, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 84, "name": "torchvision" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 172, "name": "natsort" }, { "id": 190, "name": "locust" }, { "id": 224, "name": "google" }, { "id": 349, "name": "mock" }, { "id": 370, "name": "dask" }, { "id": 399, "name": "orjson" }, { "id": 408, "name": "socketio" }, { "id": 409, "name": "watchdog" }, { "id": 412, "name": "cloudpickle" }, { "id": 430, "name": "urllib3" }, { "id": 442, "name": "filelock" }, { "id": 485, "name": "lmdb" }, { "id": 509, "name": "docutils" }, { "id": 510, "name": "flake8" }, { "id": 620, "name": "networkx" }, { "id": 936, "name": "toml" }, { "id": 955, "name": "pydash" }, { "id": 963, "name": "simplejson" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1079, "name": "isort" }, { "id": 1083, "name": "aiofiles" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1509, "name": "distributed" }, { "id": 3601, "name": "furl" }, { "id": 3777, "name": "load_tests" }, { "id": 3778, "name": "pennylane" }, { "id": 4466, "name": "pennylane_qiskit" }, { "id": 4467, "name": "mpire" }, { "id": 4468, "name": "braket" }, { "id": 4469, "name": "lmdbm" }, { "id": 4470, "name": "qiskit_ibm_runtime" }, { "id": 4471, "name": "qiskit" } ], "last_checked_revision": "9cd8c5b77b36f20ee31b556f41b6604c50f80201\n" }, { "id": 411, "url": "https://github.com/wuranxu/pity", "description": "\ud83c\udf89\u4e00\u4e2a\u6301\u7eed\u8fed\u4ee3\u7684\u5f00\u6e90\u63a5\u53e3\u6d4b\u8bd5\u5e73\u53f0\uff0c\u6b22\u8fce\u5927\u5bb6\u591a\u63d0issue\u591a\u7ed9\u53cd\u9988\u3002 \u6c42star\u2b50\uff0c\u6211\u4f1a\u52aa\u529b\u66f4\u65b0\u4e0b\u53bb\u7684\uff01", "stars": 537, "source_graph_repo_id": 43406884, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 948, "name": "apscheduler" }, { "id": 1061, "name": "jwt" }, { "id": 1115, "name": "grpc_reflection" }, { "id": 1531, "name": "rediscluster" }, { "id": 2670, "name": "pyDes" }, { "id": 3073, "name": "awaits" }, { "id": 3074, "name": "mitmproxy" }, { "id": 3075, "name": "qcloud_cos" }, { "id": 3076, "name": "oss2" }, { "id": 3077, "name": "jsonpath" }, { "id": 3078, "name": "redlock" }, { "id": 3079, "name": "aioetcd3" }, { "id": 3080, "name": "pymock" }, { "id": 3081, "name": "grpc_requests" }, { "id": 3082, "name": "aioify" } ], "last_checked_revision": "9a73569588708cbc78ff2cbe628b1857b0b5ed10\n" }, { "id": 412, "url": "https://github.com/xusenlinzy/api-for-open-llm", "description": "Openai style api for open large language models, using LLMs just as chatgpt! Support for LLaMA, LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, Xverse, SqlCoder, CodeLLaMA, ChatGLM, ChatGLM2, ChatGLM3 etc. \u5f00\u6e90\u5927\u6a21\u578b\u7684\u7edf\u4e00\u540e\u7aef\u63a5\u53e3", "stars": 1445, "source_graph_repo_id": 61051108, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 50, "name": "tiktoken" }, { "id": 53, "name": "PyPDF2" }, { "id": 54, "name": "loguru" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 86, "name": "sse_starlette" }, { "id": 106, "name": "anyio" }, { "id": 114, "name": "xformers" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 186, "name": "seaborn" }, { "id": 206, "name": "langchain" }, { "id": 208, "name": "mdtex2html" }, { "id": 246, "name": "sentence_transformers" }, { "id": 445, "name": "pygments" }, { "id": 558, "name": "vllm" }, { "id": 595, "name": "backoff" }, { "id": 690, "name": "markdown" }, { "id": 691, "name": "pdfplumber" }, { "id": 889, "name": "func_timeout" }, { "id": 896, "name": "llama_cpp" }, { "id": 1004, "name": "colorama" }, { "id": 1026, "name": "jupyter_client" }, { "id": 3712, "name": "text_generation" } ], "last_checked_revision": "b371f688fc0cce8e338885a3e537b674aa7abcf4\n" }, { "id": 413, "url": "https://github.com/theodo-group/GenossGPT", "description": "One API for all LLMs either Private or Public (Anthropic, Llama V2, GPT 3.5/4, Vertex, GPT4ALL, HuggingFace ...) \ud83c\udf08\ud83d\udc02 Replace OpenAI GPT with any LLMs in your app with one line.", "stars": 679, "source_graph_repo_id": 61366959, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 76, "name": "click" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" } ], "last_checked_revision": "35afd30537f9ccd590971d319220f68123fbea68\n" }, { "id": 414, "url": "https://github.com/huggingface/transformers-bloom-inference", "description": "Fast Inference Solutions for BLOOM", "stars": 522, "source_graph_repo_id": 59084828, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 185, "name": "huggingface_hub" }, { "id": 224, "name": "google" }, { "id": 292, "name": "flask" }, { "id": 551, "name": "deepspeed" }, { "id": 1384, "name": "flask_api" } ], "last_checked_revision": "7bea3526d8270b4aeeefecc57d7d7d638e2bbe0e\n" }, { "id": 415, "url": "https://github.com/wondertrader/wtpy", "description": "wtpy\u662f\u57fa\u4e8ewondertrader\u4e3a\u5e95\u5c42\u7684\u9488\u5bf9python\u7684\u5b50\u6846\u67b6", "stars": 612, "source_graph_repo_id": 41883122, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 161, "name": "matplotlib" }, { "id": 227, "name": "websocket" }, { "id": 643, "name": "Crypto" }, { "id": 734, "name": "pymysql" }, { "id": 954, "name": "statsmodels" }, { "id": 1045, "name": "chardet" }, { "id": 2863, "name": "xlsxwriter" }, { "id": 2868, "name": "tushare" }, { "id": 2869, "name": "deap" }, { "id": 2870, "name": "baostock" }, { "id": 2871, "name": "tqsdk" }, { "id": 2872, "name": "pyquery" }, { "id": 2873, "name": "pyfolio" }, { "id": 2874, "name": "rqdatac" }, { "id": 2875, "name": "WindPy" }, { "id": 4345, "name": "StraCtaUnitTest" }, { "id": 4346, "name": "DualThrust" }, { "id": 4347, "name": "Strategies" }, { "id": 4348, "name": "HftStraDemo" }, { "id": 4349, "name": "DualThrust_Sel" }, { "id": 4350, "name": "T1" } ], "last_checked_revision": "9fd4cd98feaa6fa2ea084741b3bb2adbe2b6bd78\n" }, { "id": 416, "url": "https://github.com/zjunlp/KnowLM", "description": "An Open-sourced Knowledgable Large Language Model Framework.", "stars": 847, "source_graph_repo_id": 60733767, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 56, "name": "redis" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 145, "name": "fire" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 178, "name": "peft" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 513, "name": "auto_gptq" }, { "id": 519, "name": "sentencepiece" }, { "id": 558, "name": "vllm" } ], "last_checked_revision": "886a2ab2e2bdc0af58c0d0aba83ac189c921211f\n" }, { "id": 417, "url": "https://github.com/IndustryEssentials/ymir", "description": "YMIR, a streamlined model development product.", "stars": 525, "source_graph_repo_id": 56407852, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 56, "name": "redis" }, { "id": 61, "name": "alembic" }, { "id": 62, "name": "app" }, { "id": 64, "name": "jose" }, { "id": 65, "name": "emails" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 74, "name": "sentry_sdk" }, { "id": 82, "name": "PIL" }, { "id": 142, "name": "pynvml" }, { "id": 198, "name": "auth" }, { "id": 224, "name": "google" }, { "id": 373, "name": "tests" }, { "id": 446, "name": "tensorboardX" }, { "id": 657, "name": "pycocotools" }, { "id": 802, "name": "xmltodict" }, { "id": 874, "name": "fastapi_socketio" }, { "id": 948, "name": "apscheduler" }, { "id": 988, "name": "controller" }, { "id": 1016, "name": "statsd" }, { "id": 1110, "name": "grpc_health" }, { "id": 1136, "name": "proto" }, { "id": 1613, "name": "dependency_injector" }, { "id": 1647, "name": "fasteners" }, { "id": 2626, "name": "mir" }, { "id": 2798, "name": "starlette_exporter" }, { "id": 2990, "name": "tools" }, { "id": 3644, "name": "common_utils" }, { "id": 3645, "name": "redislite" }, { "id": 3646, "name": "id_definition" }, { "id": 3647, "name": "monitor" }, { "id": 3648, "name": "update_1_1_0_to_2_0_0" }, { "id": 3649, "name": "ymir_exc" }, { "id": 3650, "name": "fastapi_health" }, { "id": 3651, "name": "yapi" } ], "last_checked_revision": "694446846edfc6c78386c00458b8ff9cd218bbd7\n" }, { "id": 418, "url": "https://github.com/taomujian/linbing", "description": "\u672c\u7cfb\u7edf\u662f\u5bf9Web\u4e2d\u95f4\u4ef6\u548cWeb\u6846\u67b6\u8fdb\u884c\u81ea\u52a8\u5316\u6e17\u900f\u7684\u4e00\u4e2a\u7cfb\u7edf,\u6839\u636e\u626b\u63cf\u9009\u9879\u53bb\u81ea\u52a8\u5316\u6536\u96c6\u8d44\u4ea7,\u7136\u540e\u8fdb\u884cPOC\u626b\u63cf,POC\u626b\u63cf\u65f6\u4f1a\u6839\u636e\u6307\u7eb9\u9009\u62e9POC\u63d2\u4ef6\u53bb\u626b\u63cf,POC\u63d2\u4ef6\u626b\u63cf\u7528\u5f02\u6b65\u65b9\u5f0f\u626b\u63cf.\u524d\u7aef\u91c7\u7528vue\u6280\u672f,\u540e\u7aef\u91c7\u7528python fastapi.", "stars": 595, "source_graph_repo_id": 40091012, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 30, "name": "certifi" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 60, "name": "psycopg2" }, { "id": 62, "name": "app" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 92, "name": "pymongo" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 145, "name": "fire" }, { "id": 155, "name": "six" }, { "id": 215, "name": "cryptography" }, { "id": 224, "name": "google" }, { "id": 341, "name": "paramiko" }, { "id": 430, "name": "urllib3" }, { "id": 548, "name": "markupsafe" }, { "id": 643, "name": "Crypto" }, { "id": 650, "name": "backports" }, { "id": 734, "name": "pymysql" }, { "id": 963, "name": "simplejson" }, { "id": 1045, "name": "chardet" }, { "id": 1067, "name": "dns" }, { "id": 1194, "name": "idna" }, { "id": 1265, "name": "cx_Oracle" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1343, "name": "pyparsing" }, { "id": 1355, "name": "brotli" }, { "id": 1540, "name": "rq" }, { "id": 1711, "name": "ordereddict" }, { "id": 1758, "name": "nmap" }, { "id": 2150, "name": "exrex" }, { "id": 2179, "name": "lib" }, { "id": 2324, "name": "treelib" }, { "id": 2660, "name": "ntlm" }, { "id": 2661, "name": "masscan" }, { "id": 2662, "name": "win_inet_pton" }, { "id": 2663, "name": "tputil" }, { "id": 2664, "name": "thirdparty" }, { "id": 2665, "name": "cdx_toolkit" }, { "id": 2666, "name": "railroad" }, { "id": 2667, "name": "kazoo" }, { "id": 2668, "name": "tldextract" }, { "id": 2669, "name": "dnslog" }, { "id": 2670, "name": "pyDes" }, { "id": 2671, "name": "_string" } ], "last_checked_revision": "b6edb06fc4e53a90c756459d7c03f8b33692b42b\n" }, { "id": 419, "url": "https://github.com/airtai/faststream", "description": "FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.", "stars": 1381, "source_graph_repo_id": 60122097, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 76, "name": "click" }, { "id": 106, "name": "anyio" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 224, "name": "google" }, { "id": 260, "name": "IPython" }, { "id": 399, "name": "orjson" }, { "id": 538, "name": "pydantic_settings" }, { "id": 539, "name": "pydantic_core" }, { "id": 544, "name": "email_validator" }, { "id": 546, "name": "mkdocs" }, { "id": 549, "name": "dirty_equals" }, { "id": 597, "name": "docstring_parser" }, { "id": 929, "name": "yarl" }, { "id": 953, "name": "freezegun" }, { "id": 1057, "name": "kafka" }, { "id": 1107, "name": "msgpack" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1477, "name": "fastavro" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1560, "name": "nbformat" }, { "id": 1579, "name": "aiormq" }, { "id": 1580, "name": "aio_pika" }, { "id": 1683, "name": "structlog" }, { "id": 2028, "name": "nbconvert" }, { "id": 2376, "name": "exceptiongroup" }, { "id": 2797, "name": "aiokafka" }, { "id": 3308, "name": "nats" }, { "id": 3972, "name": "jdk" }, { "id": 3973, "name": "nbdev_mkdocs" }, { "id": 3974, "name": "asyncer" }, { "id": 3975, "name": "nbdev" }, { "id": 4192, "name": "message_pb2" }, { "id": 4193, "name": "pamqp" }, { "id": 4195, "name": "fast_depends" } ], "last_checked_revision": "5ae5ace173175d212516b34e088866b0171a98ce\n" }, { "id": 420, "url": "https://github.com/Ananto30/zero", "description": "Zero: A simple and fast Python RPC framework", "stars": 508, "source_graph_repo_id": 49389411, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 68, "name": "sqlalchemy" }, { "id": 139, "name": "model" }, { "id": 147, "name": "sanic" }, { "id": 689, "name": "src" }, { "id": 957, "name": "aioredis" }, { "id": 1061, "name": "jwt" }, { "id": 1107, "name": "msgpack" }, { "id": 1376, "name": "pytest_cov" }, { "id": 1377, "name": "zmq" }, { "id": 1378, "name": "msgspec" }, { "id": 1379, "name": "aiozmq" } ], "last_checked_revision": "730997fd5c06acb9af6196bf3313dfae1e8de0bb\n" }, { "id": 421, "url": "https://github.com/ninehills/chatglm-openai-api", "description": "Provide OpenAI style API for ChatGLM-6B and Chinese Embeddings Model", "stars": 507, "source_graph_repo_id": 60849749, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 86, "name": "sse_starlette" }, { "id": 189, "name": "accelerate" }, { "id": 899, "name": "text2vec" }, { "id": 936, "name": "toml" }, { "id": 3054, "name": "pyngrok" } ], "last_checked_revision": "f9e068c252aca60588e002f53375af0226bd9ae0\n" }, { "id": 422, "url": "https://github.com/open-telemetry/opentelemetry-python-contrib", "description": "OpenTelemetry instrumentation for Python modules", "stars": 528, "source_graph_repo_id": 40537852, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 37, "name": "httpx" }, { "id": 49, "name": "grpc" }, { "id": 56, "name": "redis" }, { "id": 59, "name": "elasticsearch" }, { "id": 60, "name": "psycopg2" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 81, "name": "boto3" }, { "id": 91, "name": "mysql" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 196, "name": "asyncpg" }, { "id": 217, "name": "confluent_kafka" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 259, "name": "asgiref" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 430, "name": "urllib3" }, { "id": 531, "name": "opentelemetry" }, { "id": 621, "name": "elastic_transport" }, { "id": 734, "name": "pymysql" }, { "id": 794, "name": "moto" }, { "id": 886, "name": "werkzeug" }, { "id": 909, "name": "tornado" }, { "id": 919, "name": "pyramid" }, { "id": 926, "name": "falcon" }, { "id": 929, "name": "yarl" }, { "id": 930, "name": "multidict" }, { "id": 932, "name": "tomli" }, { "id": 967, "name": "aiopg" }, { "id": 968, "name": "MySQLdb" }, { "id": 1010, "name": "tortoise" }, { "id": 1028, "name": "ruamel" }, { "id": 1057, "name": "kafka" }, { "id": 1128, "name": "cassandra" }, { "id": 1239, "name": "pyodbc" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1437, "name": "respx" }, { "id": 1446, "name": "tomli_w" }, { "id": 1459, "name": "wrapt" }, { "id": 1532, "name": "billiard" }, { "id": 1558, "name": "pika" }, { "id": 1572, "name": "snappy" }, { "id": 1573, "name": "http_server_mock" }, { "id": 1574, "name": "astor" }, { "id": 1575, "name": "readme_renderer" }, { "id": 1576, "name": "elasticsearch_dsl" }, { "id": 1577, "name": "httpretty" }, { "id": 1578, "name": "boto" }, { "id": 1579, "name": "aiormq" }, { "id": 1580, "name": "aio_pika" }, { "id": 1581, "name": "pymemcache" }, { "id": 1582, "name": "remoulade" } ], "last_checked_revision": "7c12ad9844ac179e3f6a493491707a9bafd06f6b\n" }, { "id": 423, "url": "https://github.com/stochasticai/x-stable-diffusion", "description": "Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention.", "stars": 517, "source_graph_repo_id": 59360157, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 97, "name": "omegaconf" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 193, "name": "scripts" }, { "id": 207, "name": "black" }, { "id": 355, "name": "importlib_metadata" }, { "id": 452, "name": "onnxruntime" }, { "id": 524, "name": "tensorrt" }, { "id": 675, "name": "modeling" }, { "id": 805, "name": "aitemplate" }, { "id": 849, "name": "jax" }, { "id": 1107, "name": "msgpack" }, { "id": 1116, "name": "flax" }, { "id": 1640, "name": "github" }, { "id": 2415, "name": "pycuda" }, { "id": 3945, "name": "modelcards" }, { "id": 3946, "name": "doc_builder" }, { "id": 3947, "name": "OmegaConf" } ], "last_checked_revision": "56c8fc81a2caa042e864d9466825a018b7836321\n" }, { "id": 424, "url": "https://github.com/codemation/easyauth", "description": "Create a centralized Authentication and Authorization token server. Easily secure FastAPI endpoints based on Users, Groups, Roles or Permissions with very little database usage.", "stars": 491, "source_graph_repo_id": 43079454, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 224, "name": "google" }, { "id": 504, "name": "jwcrypto" }, { "id": 1061, "name": "jwt" }, { "id": 1404, "name": "makefun" }, { "id": 1405, "name": "asgi_lifespan" }, { "id": 1413, "name": "bcrypt" }, { "id": 3033, "name": "easyrpc" }, { "id": 3034, "name": "easyschedule" }, { "id": 3035, "name": "fastapi_mail" }, { "id": 3036, "name": "easyadmin" }, { "id": 3037, "name": "pydbantic" }, { "id": 3038, "name": "python_jwt" } ], "last_checked_revision": "6741506733f35384dc8cc2c82a24f0f2734c4faa\n" }, { "id": 425, "url": "https://github.com/zurdi15/romm", "description": "RomM (Rom Manager) is a web based retro roms manager integrated with IGDB. ", "stars": 775, "source_graph_repo_id": 60697926, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 61, "name": "alembic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 148, "name": "main" }, { "id": 184, "name": "utils" }, { "id": 194, "name": "logger" }, { "id": 200, "name": "models" }, { "id": 408, "name": "socketio" }, { "id": 409, "name": "watchdog" }, { "id": 772, "name": "config" }, { "id": 802, "name": "xmltodict" }, { "id": 955, "name": "pydash" }, { "id": 1062, "name": "handler" }, { "id": 1436, "name": "emoji" }, { "id": 1540, "name": "rq" }, { "id": 1618, "name": "unidecode" }, { "id": 2120, "name": "tasks" }, { "id": 2901, "name": "fastapi_pagination" }, { "id": 4181, "name": "stream_zip" }, { "id": 4397, "name": "starlette_csrf" }, { "id": 4398, "name": "endpoints" }, { "id": 4940, "name": "rq_scheduler" }, { "id": 5742, "name": "__version__" } ], "last_checked_revision": "6c806aac166d9c674cb2554ede1d34d4c1eb5d2c\n" }, { "id": 426, "url": "https://github.com/paradedb/retake", "description": "Open-Source Hybrid Search for Postgres", "stars": 698, "source_graph_repo_id": 61352516, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 60, "name": "psycopg2" }, { "id": 77, "name": "dotenv" }, { "id": 292, "name": "flask" }, { "id": 430, "name": "urllib3" }, { "id": 632, "name": "posthog" }, { "id": 636, "name": "opensearchpy" }, { "id": 812, "name": "faker" }, { "id": 4259, "name": "webargs" }, { "id": 4260, "name": "retakesearch" } ], "last_checked_revision": "edafa5957e0beb8a265f35b989a7aae69d834128\n" }, { "id": 427, "url": "https://github.com/continuum-llms/chatgpt-memory", "description": "Allows to scale the ChatGPT API to multiple simultaneous sessions with infinite contextual and adaptive memory powered by GPT and Redis datastore.", "stars": 489, "source_graph_repo_id": 60672381, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 50, "name": "tiktoken" }, { "id": 77, "name": "dotenv" }, { "id": 127, "name": "tqdm" }, { "id": 206, "name": "langchain" } ], "last_checked_revision": "51f57a6dedd21e350012251f633366731972a927\n" }, { "id": 428, "url": "https://github.com/zama-ai/concrete-ml", "description": "Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.", "stars": 578, "source_graph_repo_id": 57859947, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 54, "name": "loguru" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 84, "name": "torchvision" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 139, "name": "model" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 161, "name": "matplotlib" }, { "id": 355, "name": "importlib_metadata" }, { "id": 435, "name": "hummingbird" }, { "id": 452, "name": "onnxruntime" }, { "id": 468, "name": "onnx" }, { "id": 799, "name": "xgboost" }, { "id": 941, "name": "semver" }, { "id": 1447, "name": "mistletoe" }, { "id": 1549, "name": "tomlkit" }, { "id": 1624, "name": "tf2onnx" }, { "id": 2198, "name": "dependencies" }, { "id": 3653, "name": "onnxoptimizer" }, { "id": 3709, "name": "brevitas" }, { "id": 3768, "name": "py_progress_tracker" }, { "id": 3769, "name": "grequests" }, { "id": 3770, "name": "keyring" }, { "id": 3771, "name": "skops" }, { "id": 3772, "name": "semantic_release" }, { "id": 3773, "name": "clear_module" }, { "id": 3774, "name": "concrete" }, { "id": 3775, "name": "skorch" }, { "id": 4665, "name": "flwr" }, { "id": 4666, "name": "openml" } ], "last_checked_revision": "9b6b489b92f00016fbb2eb6cb68d227cb019ed83\n" }, { "id": 429, "url": "https://github.com/ais-one/cookbook", "description": "VueJS + NodeJS Evergreen Cookbook", "stars": 457, "source_graph_repo_id": 40026359, "dependencies": [ { "id": 3, "name": "fastapi" } ], "last_checked_revision": "26ebfd35791c01045a68d6225a385107e4afe7f7\n" }, { "id": 430, "url": "https://github.com/zhanymkanov/fastapi_production_template", "description": "FastAPI Project Example with Docker, Postgres & Redis", "stars": 682, "source_graph_repo_id": 60011848, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 68, "name": "sqlalchemy" }, { "id": 74, "name": "sentry_sdk" }, { "id": 399, "name": "orjson" }, { "id": 538, "name": "pydantic_settings" }, { "id": 547, "name": "databases" }, { "id": 1411, "name": "async_asgi_testclient" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1413, "name": "bcrypt" } ], "last_checked_revision": "5f921d8582d98240321ae8ccb6bcfd518f1f5025\n" }, { "id": 431, "url": "https://github.com/kubeedge/sedna", "description": "AI tookit over KubeEdge", "stars": 464, "source_graph_repo_id": 42925815, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 184, "name": "utils" }, { "id": 200, "name": "models" }, { "id": 409, "name": "watchdog" }, { "id": 418, "name": "joblib" }, { "id": 497, "name": "prometheus_client" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 574, "name": "websockets" }, { "id": 657, "name": "pycocotools" }, { "id": 660, "name": "colorlog" }, { "id": 799, "name": "xgboost" }, { "id": 857, "name": "keras" }, { "id": 1057, "name": "kafka" }, { "id": 1124, "name": "m2r2" }, { "id": 1131, "name": "minio" }, { "id": 2782, "name": "yolox" }, { "id": 3019, "name": "cython_bbox" }, { "id": 3020, "name": "dataloaders" }, { "id": 3021, "name": "mindspore" }, { "id": 3022, "name": "autoapi" }, { "id": 3023, "name": "M3L" }, { "id": 3024, "name": "mindvision" }, { "id": 3025, "name": "plato" }, { "id": 3026, "name": "sedna" }, { "id": 3027, "name": "lap" } ], "last_checked_revision": "ac623ab32dc37caa04b9e8480dbe1a8c41c4a6c2\n" }, { "id": 432, "url": "https://github.com/SeldonIO/MLServer", "description": "An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more", "stars": 482, "source_graph_repo_id": 41582052, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 49, "name": "grpc" }, { "id": 75, "name": "importlib_resources" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 85, "name": "tritonclient" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 161, "name": "matplotlib" }, { "id": 224, "name": "google" }, { "id": 399, "name": "orjson" }, { "id": 418, "name": "joblib" }, { "id": 419, "name": "torchmetrics" }, { "id": 426, "name": "lightgbm" }, { "id": 497, "name": "prometheus_client" }, { "id": 531, "name": "opentelemetry" }, { "id": 778, "name": "docker" }, { "id": 799, "name": "xgboost" }, { "id": 819, "name": "pyspark" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 849, "name": "jax" }, { "id": 872, "name": "catboost" }, { "id": 1057, "name": "kafka" }, { "id": 1083, "name": "aiofiles" }, { "id": 1151, "name": "tensorflow_hub" }, { "id": 2250, "name": "alibi" }, { "id": 2793, "name": "mlserver_alibi_detect" }, { "id": 2794, "name": "mlserver_lightgbm" }, { "id": 2795, "name": "aiohttp_retry" }, { "id": 2796, "name": "optimum" }, { "id": 2797, "name": "aiokafka" }, { "id": 2798, "name": "starlette_exporter" }, { "id": 2799, "name": "mlserver_mlflow" }, { "id": 2800, "name": "mlserver_alibi_explain" }, { "id": 2801, "name": "numpyro" }, { "id": 2802, "name": "py_grpc_prometheus" }, { "id": 2803, "name": "mlserver_xgboost" }, { "id": 2804, "name": "sphinx_material" }, { "id": 2805, "name": "pytest_cases" }, { "id": 2806, "name": "mlserver_sklearn" }, { "id": 2807, "name": "alibi_detect" }, { "id": 2808, "name": "mlserver_huggingface" }, { "id": 4674, "name": "mlserver_catboost" } ], "last_checked_revision": "d3b5b5db78cfe146ae55e9fe9a10436b1bea10cb\n" }, { "id": 433, "url": "https://github.com/smallcloudai/refact", "description": "WebUI for Fine-Tuning and Self-hosting of Open-Source Large Language Models for Coding ", "stars": 1187, "source_graph_repo_id": 60849131, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 87, "name": "tokenizers" }, { "id": 111, "name": "einops" }, { "id": 122, "name": "psutil" }, { "id": 130, "name": "safetensors" }, { "id": 140, "name": "scipy" }, { "id": 157, "name": "triton" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 215, "name": "cryptography" }, { "id": 260, "name": "IPython" }, { "id": 412, "name": "cloudpickle" }, { "id": 421, "name": "dataclasses_json" }, { "id": 432, "name": "torchinfo" }, { "id": 442, "name": "filelock" }, { "id": 445, "name": "pygments" }, { "id": 469, "name": "termcolor" }, { "id": 508, "name": "setproctitle" }, { "id": 513, "name": "auto_gptq" }, { "id": 519, "name": "sentencepiece" }, { "id": 521, "name": "jsonlines" }, { "id": 551, "name": "deepspeed" }, { "id": 605, "name": "mpi4py" }, { "id": 732, "name": "zstandard" }, { "id": 1083, "name": "aiofiles" }, { "id": 2689, "name": "giturlparse" }, { "id": 4205, "name": "binpacking" }, { "id": 4206, "name": "tables" }, { "id": 4207, "name": "blobfile" }, { "id": 4208, "name": "traces" }, { "id": 4209, "name": "refact_enterprise" }, { "id": 4210, "name": "cdifflib" }, { "id": 4386, "name": "human_eval" }, { "id": 4618, "name": "kshingle" } ], "last_checked_revision": "7e92d022c9a08581fb91d8af52c86a89f5214297\n" }, { "id": 434, "url": "https://github.com/jerryji1993/DNABERT", "description": "DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome", "stars": 479, "source_graph_repo_id": 42010366, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 87, "name": "tokenizers" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 180, "name": "apex" }, { "id": 186, "name": "seaborn" }, { "id": 223, "name": "botocore" }, { "id": 245, "name": "absl" }, { "id": 255, "name": "spacy" }, { "id": 442, "name": "filelock" }, { "id": 446, "name": "tensorboardX" }, { "id": 461, "name": "ftfy" }, { "id": 479, "name": "regex" }, { "id": 519, "name": "sentencepiece" }, { "id": 697, "name": "Mykytea" }, { "id": 706, "name": "pythainlp" }, { "id": 862, "name": "fairseq" }, { "id": 954, "name": "statsmodels" }, { "id": 1501, "name": "MeCab" }, { "id": 1503, "name": "ptvsd" }, { "id": 1505, "name": "sacremoses" }, { "id": 2650, "name": "Bio" }, { "id": 2878, "name": "ahocorasick" }, { "id": 2879, "name": "motif_utils" }, { "id": 2880, "name": "process_pretrain_data" } ], "last_checked_revision": "dcd08d3911a8177fc2f647b9ccf52eb771fc079d\n" }, { "id": 435, "url": "https://github.com/TeamPGM/PagerMaid-Pyro", "description": "Advanced Multi-Featured Telegram UserBot by pyrogram.", "stars": 500, "source_graph_repo_id": 58000500, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 74, "name": "sentry_sdk" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 948, "name": "apscheduler" }, { "id": 1204, "name": "coloredlogs" }, { "id": 1420, "name": "casbin" }, { "id": 1421, "name": "sqlitedict" }, { "id": 1422, "name": "amis" }, { "id": 1423, "name": "pyrogram" }, { "id": 1424, "name": "pyqrcode" } ], "last_checked_revision": "454481ecc9d34babdeac820c9591e6a99696b873\n" }, { "id": 436, "url": "https://github.com/PacktPublishing/Modern-Computer-Vision-with-PyTorch", "description": "Modern Computer Vision with PyTorch, published by Packt ", "stars": 478, "source_graph_repo_id": 39190726, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 82, "name": "PIL" }, { "id": 2532, "name": "torch_snippets" } ], "last_checked_revision": "93864755da6c9b5ac5f16ba329afab9342e78b95\n" }, { "id": 437, "url": "https://github.com/Project-MONAI/MONAILabel", "description": "MONAI Label is an intelligent open source image labeling and learning tool.", "stars": 467, "source_graph_repo_id": 46466928, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 140, "name": "scipy" }, { "id": 224, "name": "google" }, { "id": 351, "name": "sphinx" }, { "id": 409, "name": "watchdog" }, { "id": 442, "name": "filelock" }, { "id": 471, "name": "shapely" }, { "id": 509, "name": "docutils" }, { "id": 743, "name": "parameterized" }, { "id": 964, "name": "timeloop" }, { "id": 974, "name": "cachetools" }, { "id": 1169, "name": "nibabel" }, { "id": 1432, "name": "requests_toolbelt" }, { "id": 2012, "name": "vtk" }, { "id": 2040, "name": "schedule" }, { "id": 2179, "name": "lib" }, { "id": 2216, "name": "cx_Freeze" }, { "id": 2219, "name": "py2exe" }, { "id": 2688, "name": "nrrd" }, { "id": 2690, "name": "SimpleITK" }, { "id": 2691, "name": "pydicom" }, { "id": 2729, "name": "ignite" }, { "id": 2993, "name": "monai" }, { "id": 3099, "name": "python_on_whales" }, { "id": 3155, "name": "SampleData" }, { "id": 3156, "name": "sitkUtils" }, { "id": 3157, "name": "girder_client" }, { "id": 3158, "name": "ctk" }, { "id": 3159, "name": "numpymaxflow" }, { "id": 3160, "name": "mockserver_friendly" }, { "id": 3161, "name": "large_image" }, { "id": 3162, "name": "itk" }, { "id": 3163, "name": "MONAILabelReviewerLib" }, { "id": 3164, "name": "cli" }, { "id": 3165, "name": "openslide" }, { "id": 3166, "name": "qt" }, { "id": 3167, "name": "expiring_dict" }, { "id": 3168, "name": "vtkSegmentationCore" }, { "id": 3169, "name": "slicer" }, { "id": 3170, "name": "pydicom_seg" }, { "id": 3171, "name": "histomicstk" }, { "id": 3172, "name": "dicomweb_client" } ], "last_checked_revision": "581a966b182c99ae89bb8b5473bc80d906c68754\n" }, { "id": 438, "url": "https://github.com/vastsa/AILink", "description": "ChatGPT \u5546\u4e1a\u7248\u6700\u5f3a\uff0c\u81ea\u5b9a\u4e49\u63d2\u4ef6\uff0c\u81ea\u5b9a\u4e49\u6a21\u578b\uff0c\u81ea\u5b9a\u4e49\u63a5\u53e3\uff0cChatGPT4\uff0cMidjourney\u7ed8\u56fe\uff0cClaude\uff0c\u767e\u5ea6\u6587\u5fc3\u4e00\u8a00\uff0cAzure\uff0c\u8f7b\u5e94\u7528\u6a21\u5757\uff0c\u7528\u6237\u767b\u5f55\u6ce8\u518c\uff0c\u9080\u8bf7\u6fc0\u52b1\uff0c\u5728\u7ebf\u652f\u4ed8\uff0c\u89d2\u8272\u626e\u6f14\uff0c\u5b9e\u65f6\u8fde\u7eed\u5bf9\u8bdd\u7f51\u9875\u7248\uff0c\u67e5\u8be2\u4f59\u989d\uff0c\u5b8c\u5168\u81ea\u5b9a\u4e49\u6a21\u578b\u63a5\u53e3\uff0c\u53ef\u81ea\u5df1\u5bf9\u63a5\uff0c\u4ee3\u7801\u663e\u793a\u9ad8\u4eae", "stars": 468, "source_graph_repo_id": 60297778, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" } ], "last_checked_revision": "500602b2015e855631a6db956a1458622cea9af2\n" }, { "id": 439, "url": "https://github.com/oughtinc/ice", "description": "Interactive Composition Explorer: a debugger for compositional language model programs", "stars": 470, "source_graph_repo_id": 59134965, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 77, "name": "dotenv" }, { "id": 96, "name": "rich" }, { "id": 106, "name": "anyio" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 161, "name": "matplotlib" }, { "id": 623, "name": "more_itertools" }, { "id": 812, "name": "faker" }, { "id": 1485, "name": "questionary" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1543, "name": "ulid" }, { "id": 1683, "name": "structlog" }, { "id": 3090, "name": "thefuzz" }, { "id": 3877, "name": "numerizer" }, { "id": 3878, "name": "defopt" }, { "id": 3879, "name": "rouge_metric" }, { "id": 3880, "name": "merge_args" }, { "id": 3881, "name": "fvalues" } ], "last_checked_revision": "62f2635975aa8b9563fdb8853198fc14dc1bfed1\n" }, { "id": 440, "url": "https://github.com/DataDog/dd-trace-py", "description": "Datadog Python APM Client", "stars": 443, "source_graph_repo_id": 89900, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 43, "name": "pinecone" }, { "id": 47, "name": "tenacity" }, { "id": 49, "name": "grpc" }, { "id": 50, "name": "tiktoken" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 59, "name": "elasticsearch" }, { "id": 60, "name": "psycopg2" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 82, "name": "PIL" }, { "id": 91, "name": "mysql" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 147, "name": "sanic" }, { "id": 155, "name": "six" }, { "id": 183, "name": "openai" }, { "id": 196, "name": "asyncpg" }, { "id": 199, "name": "routes" }, { "id": 206, "name": "langchain" }, { "id": 215, "name": "cryptography" }, { "id": 217, "name": "confluent_kafka" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 259, "name": "asgiref" }, { "id": 272, "name": "bson" }, { "id": 290, "name": "requests_mock" }, { "id": 292, "name": "flask" }, { "id": 319, "name": "kombu" }, { "id": 348, "name": "django" }, { "id": 349, "name": "mock" }, { "id": 351, "name": "sphinx" }, { "id": 355, "name": "importlib_metadata" }, { "id": 430, "name": "urllib3" }, { "id": 495, "name": "Cython" }, { "id": 498, "name": "coverage" }, { "id": 500, "name": "graphql" }, { "id": 509, "name": "docutils" }, { "id": 531, "name": "opentelemetry" }, { "id": 547, "name": "databases" }, { "id": 583, "name": "__main__" }, { "id": 631, "name": "responses" }, { "id": 636, "name": "opensearchpy" }, { "id": 643, "name": "Crypto" }, { "id": 734, "name": "pymysql" }, { "id": 737, "name": "pip" }, { "id": 765, "name": "attr" }, { "id": 794, "name": "moto" }, { "id": 802, "name": "xmltodict" }, { "id": 886, "name": "werkzeug" }, { "id": 901, "name": "hypothesis" }, { "id": 909, "name": "tornado" }, { "id": 913, "name": "cherrypy" }, { "id": 919, "name": "pyramid" }, { "id": 923, "name": "bottle" }, { "id": 926, "name": "falcon" }, { "id": 927, "name": "molten" }, { "id": 929, "name": "yarl" }, { "id": 957, "name": "aioredis" }, { "id": 963, "name": "simplejson" }, { "id": 967, "name": "aiopg" }, { "id": 968, "name": "MySQLdb" }, { "id": 978, "name": "paste" }, { "id": 999, "name": "webtest" }, { "id": 1001, "name": "aiohttp_jinja2" }, { "id": 1006, "name": "aiomysql" }, { "id": 1019, "name": "async_generator" }, { "id": 1028, "name": "ruamel" }, { "id": 1103, "name": "cattr" }, { "id": 1107, "name": "msgpack" }, { "id": 1120, "name": "mongoengine" }, { "id": 1128, "name": "cassandra" }, { "id": 1132, "name": "snowflake" }, { "id": 1194, "name": "idna" }, { "id": 1196, "name": "mako" }, { "id": 1239, "name": "pyodbc" }, { "id": 1256, "name": "rest_framework" }, { "id": 1360, "name": "aiobotocore" }, { "id": 1373, "name": "_md5" }, { "id": 1409, "name": "opentracing" }, { "id": 1431, "name": "vcr" }, { "id": 1459, "name": "wrapt" }, { "id": 1463, "name": "gevent" }, { "id": 1493, "name": "psycopg" }, { "id": 1528, "name": "channels" }, { "id": 1531, "name": "rediscluster" }, { "id": 1535, "name": "flask_login" }, { "id": 1539, "name": "webob" }, { "id": 1540, "name": "rq" }, { "id": 1577, "name": "httpretty" }, { "id": 1578, "name": "boto" }, { "id": 1581, "name": "pymemcache" }, { "id": 1640, "name": "github" }, { "id": 1656, "name": "graphene" }, { "id": 1657, "name": "Any" }, { "id": 1658, "name": "datadog_lambda" }, { "id": 1659, "name": "pep562" }, { "id": 1660, "name": "pathlib2" }, { "id": 1661, "name": "mariadb" }, { "id": 1662, "name": "pylibmc" }, { "id": 1663, "name": "builtin" }, { "id": 1664, "name": "vertica_python" }, { "id": 1665, "name": "enchant" }, { "id": 1666, "name": "pybind11" }, { "id": 1667, "name": "bm" }, { "id": 1668, "name": "austin" }, { "id": 1669, "name": "debugging" }, { "id": 1670, "name": "List" }, { "id": 1671, "name": "beaker" }, { "id": 1672, "name": "demoapp" }, { "id": 1673, "name": "suitespec" }, { "id": 1674, "name": "pylons" }, { "id": 1675, "name": "funcsigs" }, { "id": 1676, "name": "atheris" }, { "id": 1677, "name": "Optional" }, { "id": 1678, "name": "pynamodb" }, { "id": 1679, "name": "ddsketch" }, { "id": 1680, "name": "pytest_bdd" }, { "id": 1681, "name": "yaaredis" }, { "id": 1682, "name": "reno" }, { "id": 1683, "name": "structlog" }, { "id": 1684, "name": "Dict" }, { "id": 1685, "name": "sanic_testing" }, { "id": 1686, "name": "pyperf" }, { "id": 1687, "name": "uwsgidecorators" }, { "id": 1688, "name": "dulwich" }, { "id": 1689, "name": "algoliasearch" }, { "id": 1690, "name": "consul" }, { "id": 1691, "name": "riot" }, { "id": 1692, "name": "sitecustomize" }, { "id": 1693, "name": "aredis" }, { "id": 1694, "name": "datadog_api_client" }, { "id": 1695, "name": "webhelpers" }, { "id": 1696, "name": "envier" }, { "id": 1697, "name": "flask_caching" }, { "id": 1698, "name": "django_hosts" }, { "id": 1699, "name": "astunparse" }, { "id": 1700, "name": "dogpile" }, { "id": 1701, "name": "bytecode" }, { "id": 1702, "name": "ghapi" }, { "id": 1803, "name": "logbook" }, { "id": 4488, "name": "charset_normalizer" }, { "id": 5228, "name": "pytest_memray" } ], "last_checked_revision": "14d3cbcfd6bf829c252a5fb06df7b8538306cc7c\n" }, { "id": 441, "url": "https://github.com/supervisely/supervisely", "description": "Supervisely SDK for Python - convenient way to automate, customize and extend Supervisely Platform for your computer vision task ", "stars": 429, "source_graph_repo_id": 40202628, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 71, "name": "cv2" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 224, "name": "google" }, { "id": 292, "name": "flask" }, { "id": 349, "name": "mock" }, { "id": 430, "name": "urllib3" }, { "id": 455, "name": "prettytable" }, { "id": 471, "name": "shapely" }, { "id": 490, "name": "imutils" }, { "id": 548, "name": "markupsafe" }, { "id": 628, "name": "magic" }, { "id": 778, "name": "docker" }, { "id": 886, "name": "werkzeug" }, { "id": 974, "name": "cachetools" }, { "id": 1028, "name": "ruamel" }, { "id": 1382, "name": "ffmpeg" }, { "id": 1411, "name": "async_asgi_testclient" }, { "id": 1432, "name": "requests_toolbelt" }, { "id": 1449, "name": "stringcase" }, { "id": 1617, "name": "pythonjsonlogger" }, { "id": 1915, "name": "jsonpatch" }, { "id": 2156, "name": "flask_restful" }, { "id": 2401, "name": "open3d" }, { "id": 2588, "name": "aiocache" }, { "id": 2687, "name": "numerize" }, { "id": 2688, "name": "nrrd" }, { "id": 2689, "name": "giturlparse" }, { "id": 2690, "name": "SimpleITK" }, { "id": 2691, "name": "pydicom" }, { "id": 2692, "name": "varname" }, { "id": 2693, "name": "loaders" }, { "id": 2694, "name": "arel" }, { "id": 2695, "name": "skvideo" }, { "id": 2696, "name": "pascal_voc_writer" }, { "id": 2697, "name": "imgaug" }, { "id": 2698, "name": "bidict" }, { "id": 3676, "name": "trimesh" }, { "id": 4243, "name": "cacheout" } ], "last_checked_revision": "e2f9859529da7952d8cdbfdb77f9be603d056031\n" }, { "id": 442, "url": "https://github.com/cogeotiff/rio-tiler", "description": "User friendly Rasterio plugin to read raster datasets.", "stars": 443, "source_graph_repo_id": 40124566, "dependencies": [ { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 75, "name": "importlib_resources" }, { "id": 81, "name": "boto3" }, { "id": 161, "name": "matplotlib" }, { "id": 384, "name": "pyproj" }, { "id": 765, "name": "attr" }, { "id": 974, "name": "cachetools" }, { "id": 1913, "name": "numexpr" }, { "id": 1981, "name": "xarray" }, { "id": 2674, "name": "affine" }, { "id": 2675, "name": "morecantile" }, { "id": 2676, "name": "rasterio" }, { "id": 2677, "name": "pystac" }, { "id": 2678, "name": "rioxarray" }, { "id": 2679, "name": "color_operations" }, { "id": 4895, "name": "tilebench" } ], "last_checked_revision": "2e8d77ea76cba4478ad927eb1f4f0e9dcbcbee39\n" }, { "id": 443, "url": "https://github.com/nuclia/nucliadb", "description": "NucliaDB, The vector database optimized for documents and video search", "stars": 475, "source_graph_repo_id": 57792608, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 56, "name": "redis" }, { "id": 74, "name": "sentry_sdk" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 196, "name": "asyncpg" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 246, "name": "sentence_transformers" }, { "id": 259, "name": "asgiref" }, { "id": 261, "name": "pyarrow" }, { "id": 399, "name": "orjson" }, { "id": 430, "name": "urllib3" }, { "id": 497, "name": "prometheus_client" }, { "id": 504, "name": "jwcrypto" }, { "id": 531, "name": "opentelemetry" }, { "id": 538, "name": "pydantic_settings" }, { "id": 595, "name": "backoff" }, { "id": 712, "name": "mmh3" }, { "id": 778, "name": "docker" }, { "id": 812, "name": "faker" }, { "id": 929, "name": "yarl" }, { "id": 946, "name": "pytest_mock" }, { "id": 974, "name": "cachetools" }, { "id": 1061, "name": "jwt" }, { "id": 1083, "name": "aiofiles" }, { "id": 1110, "name": "grpc_health" }, { "id": 1360, "name": "aiobotocore" }, { "id": 1459, "name": "wrapt" }, { "id": 1460, "name": "thrift" }, { "id": 1529, "name": "pytest_benchmark" }, { "id": 1732, "name": "oauth2client" }, { "id": 2783, "name": "starlette_prometheus" }, { "id": 3308, "name": "nats" }, { "id": 3757, "name": "async_lru" }, { "id": 3758, "name": "migrations" }, { "id": 3759, "name": "aioresponses" }, { "id": 3760, "name": "pydantic_argparse" }, { "id": 3761, "name": "lru" }, { "id": 3762, "name": "fastapi_versioning" }, { "id": 3763, "name": "pytest_docker_fixtures" }, { "id": 3764, "name": "kubernetes_asyncio" }, { "id": 3765, "name": "mrflagly" }, { "id": 3766, "name": "tikv_client" }, { "id": 3767, "name": "nucliadb_contributor_assets" }, { "id": 4646, "name": "pytest_lazy_fixtures" }, { "id": 4785, "name": "molotov" }, { "id": 5117, "name": "nucliadb_admin_assets" } ], "last_checked_revision": "d215cfceeaced091cb74f5554f8e24666f95cadf\n" }, { "id": 444, "url": "https://github.com/GregaVrbancic/fastapi-celery", "description": "Minimal example utilizing fastapi and celery with RabbitMQ for task queue, Redis for celery backend and flower for monitoring the celery tasks.", "stars": 430, "source_graph_repo_id": 38778994, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 66, "name": "celery" } ], "last_checked_revision": "65c892b8840057c7e09c62c7301c0efbd1a59323\n" }, { "id": 445, "url": "https://github.com/katanaml/sparrow", "description": "Data extraction from documents with ML", "stars": 528, "source_graph_repo_id": 56877834, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 42, "name": "weaviate" }, { "id": 57, "name": "llama_index" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 92, "name": "pymongo" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 154, "name": "datasets" }, { "id": 172, "name": "natsort" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 272, "name": "bson" }, { "id": 400, "name": "altair" }, { "id": 643, "name": "Crypto" }, { "id": 721, "name": "paddleocr" }, { "id": 722, "name": "pdf2image" }, { "id": 772, "name": "config" }, { "id": 906, "name": "quart" }, { "id": 1007, "name": "motor" }, { "id": 1050, "name": "routers" }, { "id": 2752, "name": "st_aggrid" }, { "id": 2990, "name": "tools" }, { "id": 3860, "name": "streamlit_nested_layout" }, { "id": 4011, "name": "extract_msg" }, { "id": 4196, "name": "quart_cors" }, { "id": 4320, "name": "toolbar" }, { "id": 4321, "name": "streamlit_sparrow_labeling" }, { "id": 4322, "name": "donut" }, { "id": 4323, "name": "toolbar_main" }, { "id": 4324, "name": "streamlit_option_menu" }, { "id": 4325, "name": "doctr" }, { "id": 4326, "name": "streamlit_javascript" }, { "id": 5253, "name": "box" } ], "last_checked_revision": "21b2e65832da606d2c5a31631f8ae0c3b8cf9b20\n" }, { "id": 446, "url": "https://github.com/stoyan-stoyanov/llmflows", "description": "LLMFlows - Simple, Explicit and Transparent LLM Apps", "stars": 530, "source_graph_repo_id": 61403282, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 183, "name": "openai" }, { "id": 224, "name": "google" }, { "id": 556, "name": "anthropic" }, { "id": 4078, "name": "mediawiki" } ], "last_checked_revision": "3c9e59f69b4642c3b0ea276e646612c475af56dd\n" }, { "id": 447, "url": "https://github.com/239144498/Streaming-Media-Server-Pro", "description": "\u8fd9\u662f\u4e00\u4e2a\u5f3a\u5927\u7684IPTV\u6e90\u540e\u7aef\u670d\u52a1\uff0c\u5177\u6709\u89c6\u9891\u7f13\u51b2\u533a\u529f\u80fd\uff0c\u7a0b\u5e8f\u5185\u7f6e\u4e86\u5f88\u591a\u72ec\u5bb6\u9891\u9053\uff0c\u4e0d\u591f\uff1f\u4f60\u8fd8\u53ef\u4ee5\u81ea\u5b9a\u4e49\u6dfb\u52a0\u7535\u89c6\u6e90\uff1b\u8d85\u591a\u529f\u80fd\u63a5\u53e3\uff0c\u8fd8\u53ef\u4ee5\u6dfb\u52a0\u4f60\u7684\u4ee3\u7406\uff0c\u5e76\u4e14\u9002\u5408\u4efb\u610f\u5e73\u53f0\uff0c\u975e\u5e38\u9002\u5408\u4f5c\u4e3a\u5bb6\u5ead\u5f71\u9662\u7684IPTV\u670d\u52a1\uff01\u53ef\u73a9\u6027\u8d85\u9ad8\uff0c\u66f4\u591a\u8be6\u60c5\u70b9\u51fb\u67e5\u770b\u3002", "stars": 420, "source_graph_repo_id": 58886176, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 74, "name": "sentry_sdk" }, { "id": 98, "name": "pytz" }, { "id": 734, "name": "pymysql" }, { "id": 948, "name": "apscheduler" } ], "last_checked_revision": "e385cbaeb5f48b7080c4c508632df395f81afb8d\n" }, { "id": 448, "url": "https://github.com/gagan3012/keytotext", "description": "Keywords to Sentences ", "stars": 429, "source_graph_repo_id": 46166205, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 39, "name": "streamlit" }, { "id": 71, "name": "cv2" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 127, "name": "tqdm" }, { "id": 154, "name": "datasets" }, { "id": 185, "name": "huggingface_hub" }, { "id": 534, "name": "torch_xla" }, { "id": 849, "name": "jax" }, { "id": 894, "name": "optax" }, { "id": 1116, "name": "flax" }, { "id": 2832, "name": "keybert" }, { "id": 3126, "name": "streamlit_tags" } ], "last_checked_revision": "32ba43eb5727115b2d66d2eab401cf7c4f2542e8\n" }, { "id": 449, "url": "https://github.com/explosion/prodigy-recipes", "description": "\ud83c\udf73 Recipes for the Prodigy, our fully scriptable annotation tool", "stars": 440, "source_graph_repo_id": 40138331, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 49, "name": "grpc" }, { "id": 73, "name": "jinja2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 87, "name": "tokenizers" }, { "id": 96, "name": "rich" }, { "id": 127, "name": "tqdm" }, { "id": 161, "name": "matplotlib" }, { "id": 255, "name": "spacy" }, { "id": 1150, "name": "object_detection" }, { "id": 1175, "name": "tensorflow_serving" }, { "id": 1311, "name": "umap" }, { "id": 1618, "name": "unidecode" }, { "id": 2498, "name": "wasabi" }, { "id": 2505, "name": "prodigy" }, { "id": 2506, "name": "srsly" }, { "id": 2683, "name": "clumper" }, { "id": 2684, "name": "embetter" }, { "id": 2685, "name": "dedupe" }, { "id": 2686, "name": "spaczz" }, { "id": 4429, "name": "spacy_llm" } ], "last_checked_revision": "fc06f6a6d93bc477e98cf0d8357c39322e4f5a6a\n" }, { "id": 450, "url": "https://github.com/code-kern-ai/bricks", "description": "Open-source natural language enrichments at your fingertips.", "stars": 423, "source_graph_repo_id": 59683195, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 77, "name": "dotenv" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 145, "name": "fire" }, { "id": 183, "name": "openai" }, { "id": 255, "name": "spacy" }, { "id": 626, "name": "quantulum3" }, { "id": 627, "name": "langdetect" }, { "id": 1733, "name": "translate" }, { "id": 1797, "name": "phonenumbers" }, { "id": 1990, "name": "textstat" }, { "id": 2137, "name": "textblob" }, { "id": 2202, "name": "better_profanity" }, { "id": 2317, "name": "textacy" }, { "id": 2473, "name": "Levenshtein" }, { "id": 2498, "name": "wasabi" }, { "id": 2540, "name": "sumy" }, { "id": 3940, "name": "vaderSentiment" }, { "id": 3941, "name": "serpapi" }, { "id": 3942, "name": "flashtext" }, { "id": 3943, "name": "holidays" }, { "id": 3944, "name": "LeXmo" } ], "last_checked_revision": "4a57c55c4ce49df20bd7319e793a45c3392dc487\n" }, { "id": 451, "url": "https://github.com/mryab/efficient-dl-systems", "description": "Efficient Deep Learning Systems course materials (HSE, YSDA)", "stars": 462, "source_graph_repo_id": 56901294, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 71, "name": "cv2" }, { "id": 78, "name": "imageio" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 85, "name": "tritonclient" }, { "id": 111, "name": "einops" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 135, "name": "pkg_resources" }, { "id": 161, "name": "matplotlib" }, { "id": 182, "name": "wandb" }, { "id": 292, "name": "flask" }, { "id": 497, "name": "prometheus_client" }, { "id": 675, "name": "modeling" }, { "id": 1992, "name": "prometheus_flask_exporter" }, { "id": 2233, "name": "inference_pb2" }, { "id": 2239, "name": "inference_pb2_grpc" }, { "id": 3395, "name": "grpc_tools" }, { "id": 3601, "name": "furl" }, { "id": 3682, "name": "ovmsclient" }, { "id": 3683, "name": "jpeg4py" } ], "last_checked_revision": "d32671c8c1902d025ddd5de37ab9ab34324c8b07\n" }, { "id": 452, "url": "https://github.com/ria-com/nomeroff-net", "description": "Nomeroff Net. Automatic numberplate recognition system.", "stars": 422, "source_graph_repo_id": 40168156, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 34, "name": "uvicorn" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 292, "name": "flask" }, { "id": 469, "name": "termcolor" }, { "id": 480, "name": "turbojpeg" }, { "id": 524, "name": "tensorrt" }, { "id": 909, "name": "tornado" }, { "id": 1463, "name": "gevent" }, { "id": 2271, "name": "flask_wtf" }, { "id": 2415, "name": "pycuda" }, { "id": 2697, "name": "imgaug" }, { "id": 2781, "name": "ultralytics" }, { "id": 2782, "name": "yolox" }, { "id": 2783, "name": "starlette_prometheus" }, { "id": 2784, "name": "modelhub_client" }, { "id": 2785, "name": "craft_mlt" }, { "id": 5615, "name": "craft_text_detector" } ], "last_checked_revision": "6d90fa50f6b084e3f46a31619ebe079412e1456c\n" }, { "id": 453, "url": "https://github.com/Novetta/adaptnlp", "description": "An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.", "stars": 414, "source_graph_repo_id": 39975902, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 62, "name": "app" }, { "id": 81, "name": "boto3" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 154, "name": "datasets" }, { "id": 185, "name": "huggingface_hub" }, { "id": 223, "name": "botocore" }, { "id": 261, "name": "pyarrow" }, { "id": 757, "name": "fastcore" }, { "id": 1100, "name": "fastai" }, { "id": 1621, "name": "fastprogress" }, { "id": 2502, "name": "flair" } ], "last_checked_revision": "b779e48c71b93e8f2c5f1576493004997b2bd66b\n" }, { "id": 454, "url": "https://github.com/NimbleBoxAI/ChainFury", "description": "\ud83e\udd8b Build complex chat apps using LLMs in 4 clicks \u26a1\ufe0f", "stars": 416, "source_graph_repo_id": 60783290, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 51, "name": "qdrant_client" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 145, "name": "fire" }, { "id": 206, "name": "langchain" }, { "id": 1061, "name": "jwt" }, { "id": 1121, "name": "stability_sdk" }, { "id": 2700, "name": "jinja2schema" }, { "id": 4197, "name": "chainfury_server" } ], "last_checked_revision": "536710836fa8b9333a571580f41ec388a5a867c3\n" }, { "id": 455, "url": "https://github.com/daveshap/REMO_Framework", "description": "Rolling Episodic Memory Organizer (REMO) for autonomous AI systems", "stars": 424, "source_graph_repo_id": 60699989, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 183, "name": "openai" }, { "id": 1151, "name": "tensorflow_hub" } ], "last_checked_revision": "044d913cd553c23b3806be1a43d465fe4404f53c\n" }, { "id": 456, "url": "https://github.com/ZSAIm/VideoCrawlerEngine", "description": "\u8d77\u6e90\u4e8e\u65e7\u9879\u76ee\u7231\u5947\u827a\u89e3\u6790\u5668(iqiyi-parser)\u5728\u5f00\u53d1\u3001\u7ef4\u62a4\u548c\u6269\u5c55\u7684\u8fc7\u7a0b\u4e2d\u9047\u5230\u7684\u4e00\u4e9b\u95ee\u9898\uff0c\u800c\u5b9e\u73b0\u7684\u4e00\u4e2a\u57fa\u4e8e\u4efb\u52a1\u6d41\u5f0f\u7684\u53ef\u89c6\u5316\u722c\u866b\u5f15\u64ce\u3002\u5f15\u64ce\u7684\u6267\u884c\u5355\u5143\u662f\u8282\u70b9\u3002\u811a\u672c\u8282\u70b9(script)\u4f5c\u4e3a\u6839\u8282\u70b9\u6765\u5b8c\u6210\u5bf9\u8282\u70b9\u548c\u6d41\u7a0b\u7684\u63cf\u8ff0\uff0c\u7ecf\u7531\u4efb\u52a1\u8282\u70b9(task)\u89e3\u6790\u6d41\u7a0b\u63cf\u8ff0\u5e76\u751f\u6210\u8282\u70b9\u7684\u6267\u884c\u961f\u5217\uff0c\u6700\u540e\u4ea4\u7531\u5de5\u4f5c\u8005\u6267\u884c\u6c60\u5904\u7406\u3002\u6574\u4e2a\u8fc7\u7a0b\u53ef\u89c6\u53ef\u63a7\uff0c\u6240\u6709\u8282\u70b9\u5904\u7406\u5668\u90fd\u4ee5\u63d2\u4ef6\u7684\u5f62\u5f0f\u5bfc\u5165\uff0c\u4ee5\u6700\u5927\u7a0b\u5ea6\u5b9e\u73b0\u6613\u6269\u5c55\u6027\u3002", "stars": 414, "source_graph_repo_id": 41211086, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 430, "name": "urllib3" }, { "id": 674, "name": "task" }, { "id": 1045, "name": "chardet" }, { "id": 2779, "name": "nbdler" }, { "id": 2780, "name": "jscaller" } ], "last_checked_revision": "994933d91d85bb87ae8dfba1295f7a69f6d50097\n" }, { "id": 457, "url": "https://github.com/oinsd/FastAPI-Learning-Example", "description": "FastAPI Learning Example\uff0c\u5bf9\u5e94\u4e2d\u6587\u89c6\u9891\u5b66\u4e60\u6559\u7a0b:https://space.bilibili.com/396891097", "stars": 412, "source_graph_repo_id": 40217197, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 1061, "name": "jwt" } ], "last_checked_revision": "32969fb0a5468934b241883d05e5e4dc2e54a6a9\n" }, { "id": 458, "url": "https://github.com/zanllp/sd-webui-infinite-image-browsing", "description": "A fast and powerful image/video browser for Stable Diffusion webui and ComfyUI, featuring infinite scrolling and advanced search capabilities using image parameters. It also supports standalone operation.", "stars": 657, "source_graph_repo_id": 60668464, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 118, "name": "gradio" }, { "id": 123, "name": "piexif" }, { "id": 135, "name": "pkg_resources" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" }, { "id": 2653, "name": "functional" } ], "last_checked_revision": "2384fb18258f59afd1aa5a8414786409253516e6\n" }, { "id": 459, "url": "https://github.com/metafy-social/python-scripts", "description": "A repository of python scripts that come in handy in automating day-to-day tasks", "stars": 423, "source_graph_repo_id": 59251546, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 39, "name": "streamlit" }, { "id": 53, "name": "PyPDF2" }, { "id": 71, "name": "cv2" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 627, "name": "langdetect" }, { "id": 692, "name": "wordcloud" }, { "id": 698, "name": "pydub" }, { "id": 796, "name": "pygame" }, { "id": 812, "name": "faker" }, { "id": 876, "name": "pyperclip" }, { "id": 1076, "name": "playsound" }, { "id": 1086, "name": "win32api" }, { "id": 1205, "name": "rsa" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1392, "name": "moviepy" }, { "id": 1424, "name": "pyqrcode" }, { "id": 1474, "name": "wtforms" }, { "id": 1482, "name": "wmi" }, { "id": 1528, "name": "channels" }, { "id": 1535, "name": "flask_login" }, { "id": 1640, "name": "github" }, { "id": 1728, "name": "mutagen" }, { "id": 1736, "name": "pytube" }, { "id": 1737, "name": "pyttsx3" }, { "id": 1748, "name": "speech_recognition" }, { "id": 1750, "name": "gtts" }, { "id": 1752, "name": "xlwt" }, { "id": 1764, "name": "googletrans" }, { "id": 1766, "name": "win10toast" }, { "id": 1862, "name": "qrcode" }, { "id": 2095, "name": "fake_useragent" }, { "id": 2137, "name": "textblob" }, { "id": 2271, "name": "flask_wtf" }, { "id": 2310, "name": "folium" }, { "id": 2931, "name": "scapy" }, { "id": 3886, "name": "pdfkit" }, { "id": 3887, "name": "language_tool_python" }, { "id": 3888, "name": "instaloader" }, { "id": 3889, "name": "pyshorteners" }, { "id": 3890, "name": "aspose" }, { "id": 3891, "name": "pyfiglet" }, { "id": 3892, "name": "validate_email_address" }, { "id": 3893, "name": "VideoFileClip" }, { "id": 3894, "name": "flask_bcrypt" }, { "id": 3895, "name": "easyocr" }, { "id": 3896, "name": "twython" }, { "id": 3897, "name": "PyPDF4" }, { "id": 3898, "name": "chat" }, { "id": 3899, "name": "email_scraper" }, { "id": 3900, "name": "speedtest" }, { "id": 3901, "name": "wikipedia" }, { "id": 3902, "name": "pynotifier" }, { "id": 3903, "name": "pyyoutube" }, { "id": 3904, "name": "password_strength" }, { "id": 3905, "name": "docx2pdf" }, { "id": 3906, "name": "PyDictionary" }, { "id": 3907, "name": "google_trans_new" } ], "last_checked_revision": "3108d05d03f03707c21d3ea03a8be1a598d6c88a\n" }, { "id": 460, "url": "https://github.com/GAIR-NLP/factool", "description": "FacTool: Factuality Detection in Generative AI", "stars": 719, "source_graph_repo_id": 61408961, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 521, "name": "jsonlines" }, { "id": 4313, "name": "scholarly" } ], "last_checked_revision": "69c74d3f7495f60f8400526e49749a72262bd246\n" }, { "id": 461, "url": "https://github.com/tbotnz/netpalm", "description": "ReST based network device broker", "stars": 410, "source_graph_repo_id": 40479462, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 73, "name": "jinja2" }, { "id": 442, "name": "filelock" }, { "id": 802, "name": "xmltodict" }, { "id": 946, "name": "pytest_mock" }, { "id": 948, "name": "apscheduler" }, { "id": 1511, "name": "cachelib" }, { "id": 1540, "name": "rq" }, { "id": 2134, "name": "jsonpath_ng" }, { "id": 2262, "name": "netmiko" }, { "id": 2700, "name": "jinja2schema" }, { "id": 2701, "name": "redis_lock" }, { "id": 2702, "name": "puresnmp" }, { "id": 2703, "name": "names_generator" }, { "id": 2704, "name": "textfsm" }, { "id": 2705, "name": "ncclient" }, { "id": 2706, "name": "napalm" } ], "last_checked_revision": "dc4c4adb47e4d3e835aa2d672f455fb4a0d7b69f\n" }, { "id": 462, "url": "https://github.com/wxy2077/fastapi-mysql-generator", "description": "FastAPI + MySQL Web\u9879\u76ee\u751f\u6210\u5668 \uff0c\u4e2a\u4eba\u8ba4\u4e3a\u8f83\u4e3a\u5408\u7406\u7684\u9879\u76ee\u7ec4\u7ec7\u7ed3\u6784\uff1b\u57fa\u4e8eapscheduler\u7684\u5b9a\u65f6\u4efb\u52a1\u3002", "stars": 418, "source_graph_repo_id": 42186620, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 64, "name": "jose" }, { "id": 66, "name": "celery" }, { "id": 67, "name": "passlib" }, { "id": 184, "name": "utils" }, { "id": 200, "name": "models" }, { "id": 244, "name": "logic" }, { "id": 373, "name": "tests" }, { "id": 380, "name": "core" }, { "id": 543, "name": "peewee" }, { "id": 948, "name": "apscheduler" }, { "id": 965, "name": "playhouse" }, { "id": 1054, "name": "schemas" }, { "id": 1123, "name": "common" }, { "id": 1420, "name": "casbin" }, { "id": 1614, "name": "api" }, { "id": 2876, "name": "casbin_sqlalchemy_adapter" }, { "id": 2877, "name": "router" } ], "last_checked_revision": "89925ab2f980043be08d8de4cdf3c7b6b1bf9789\n" }, { "id": 463, "url": "https://github.com/OpenRL-Lab/openrl", "description": "Unified Reinforcement Learning Framework", "stars": 453, "source_graph_repo_id": 60892887, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 78, "name": "imageio" }, { "id": 82, "name": "PIL" }, { "id": 87, "name": "tokenizers" }, { "id": 96, "name": "rich" }, { "id": 97, "name": "omegaconf" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 182, "name": "wandb" }, { "id": 224, "name": "google" }, { "id": 245, "name": "absl" }, { "id": 446, "name": "tensorboardX" }, { "id": 449, "name": "hydra" }, { "id": 469, "name": "termcolor" }, { "id": 551, "name": "deepspeed" }, { "id": 562, "name": "gym" }, { "id": 580, "name": "gymnasium" }, { "id": 589, "name": "jsonargparse" }, { "id": 796, "name": "pygame" }, { "id": 1747, "name": "pyglet" }, { "id": 1929, "name": "pettingzoo" }, { "id": 2047, "name": "stable_baselines3" }, { "id": 2147, "name": "constants" }, { "id": 4213, "name": "pysc2" }, { "id": 4214, "name": "retro" }, { "id": 4215, "name": "gym_super_mario_bros" }, { "id": 4216, "name": "treevalue" }, { "id": 4217, "name": "omniisaacgymenvs" }, { "id": 4218, "name": "nes_py" }, { "id": 4219, "name": "s2clientprotocol" }, { "id": 4220, "name": "trueskill" }, { "id": 4221, "name": "dmc2gym" }, { "id": 4441, "name": "gym_pybullet_drones" }, { "id": 4619, "name": "rl_zoo3" }, { "id": 4754, "name": "smacv2" }, { "id": 5681, "name": "envpool" } ], "last_checked_revision": "7419e43f0fc823b013ea151ccd881cdb0b9c6d0e\n" }, { "id": 464, "url": "https://github.com/sajjadium/ctf-archives", "description": " CTF Archives: Collection of CTF Challenges.", "stars": 443, "source_graph_repo_id": 40493004, "dependencies": [], "last_checked_revision": null }, { "id": 465, "url": "https://github.com/pawamoy/aria2p", "description": "Command-line tool and library to interact with an aria2c daemon process with JSON-RPC.", "stars": 419, "source_graph_repo_id": 39979321, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 54, "name": "loguru" }, { "id": 73, "name": "jinja2" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 227, "name": "websocket" }, { "id": 355, "name": "importlib_metadata" }, { "id": 631, "name": "responses" }, { "id": 876, "name": "pyperclip" }, { "id": 932, "name": "tomli" }, { "id": 936, "name": "toml" }, { "id": 1486, "name": "mkdocs_gen_files" }, { "id": 2213, "name": "griffe" }, { "id": 2526, "name": "duty" }, { "id": 2527, "name": "aria2p" }, { "id": 2528, "name": "asciimatics" }, { "id": 2529, "name": "safety" }, { "id": 2530, "name": "git_changelog" }, { "id": 2531, "name": "appdirs" }, { "id": 4714, "name": "mergedeep" } ], "last_checked_revision": "0713e4d2de6d88a7758def1ed7780d9cbb1f74f6\n" }, { "id": 466, "url": "https://github.com/daodao97/chatdoc", "description": "Chat with your doc by openai", "stars": 436, "source_graph_repo_id": 60685651, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 41, "name": "docx2txt" }, { "id": 53, "name": "PyPDF2" }, { "id": 57, "name": "llama_index" }, { "id": 206, "name": "langchain" }, { "id": 4057, "name": "ebooklib" }, { "id": 4180, "name": "epub2txt" } ], "last_checked_revision": "5da9cff137cdc67f27e8209bf6ec96c50c3c8d0e\n" }, { "id": 467, "url": "https://github.com/aporia-ai/mlplatform-workshop", "description": "\ud83c\udf6b Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more", "stars": 407, "source_graph_repo_id": 50411266, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 426, "name": "lightgbm" } ], "last_checked_revision": "268141ed1d2d6c3b18c743680945bda92265cef1\n" }, { "id": 468, "url": "https://github.com/shikras/shikra", "description": "", "stars": 605, "source_graph_repo_id": 61257883, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 111, "name": "einops" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 154, "name": "datasets" }, { "id": 161, "name": "matplotlib" }, { "id": 188, "name": "flash_attn" }, { "id": 459, "name": "petrel_client" }, { "id": 3494, "name": "mmengine" } ], "last_checked_revision": "ff79a4ced85d21739e1a4c5cec9e1e8f896b962c\n" }, { "id": 469, "url": "https://github.com/different-ai/embedbase", "description": "A dead-simple API to build LLM-powered apps", "stars": 444, "source_graph_repo_id": 60241318, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 55, "name": "pgvector" }, { "id": 74, "name": "sentry_sdk" }, { "id": 77, "name": "dotenv" }, { "id": 127, "name": "tqdm" }, { "id": 145, "name": "fire" }, { "id": 246, "name": "sentence_transformers" }, { "id": 290, "name": "requests_mock" }, { "id": 632, "name": "posthog" }, { "id": 1493, "name": "psycopg" }, { "id": 1730, "name": "firebase_admin" }, { "id": 2404, "name": "semantic_version" }, { "id": 4128, "name": "embedbase_internet_search" }, { "id": 4129, "name": "pydantic_yaml" }, { "id": 4130, "name": "embedbase_client" } ], "last_checked_revision": "6a4d55af8d467d065724897585b4e8ccaaf5fc01\n" }, { "id": 470, "url": "https://github.com/doronz88/pymobiledevice3", "description": "Pure python3 implementation for working with iDevices (iPhone, etc...).", "stars": 699, "source_graph_repo_id": 43985770, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 76, "name": "click" }, { "id": 82, "name": "PIL" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 215, "name": "cryptography" }, { "id": 260, "name": "IPython" }, { "id": 445, "name": "pygments" }, { "id": 469, "name": "termcolor" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 1083, "name": "aiofiles" }, { "id": 1204, "name": "coloredlogs" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 2594, "name": "daemonize" }, { "id": 2931, "name": "scapy" }, { "id": 3102, "name": "usb" }, { "id": 3103, "name": "developer_disk_image" }, { "id": 3104, "name": "pycrashreport" }, { "id": 3105, "name": "remotezip" }, { "id": 3106, "name": "aioquic_pmd3" }, { "id": 3107, "name": "cmd2" }, { "id": 3108, "name": "gnureadline" }, { "id": 3109, "name": "cmd2_ext_test" }, { "id": 3110, "name": "gpxpy" }, { "id": 3111, "name": "hyperframe" }, { "id": 3112, "name": "pytun_pmd3" }, { "id": 3113, "name": "asn1" }, { "id": 3114, "name": "pygnuutils" }, { "id": 3115, "name": "inquirer3" }, { "id": 3116, "name": "pykdebugparser" }, { "id": 3117, "name": "hexdump" }, { "id": 3118, "name": "bpylist2" }, { "id": 3119, "name": "construct" }, { "id": 3120, "name": "zeroconf" }, { "id": 3121, "name": "ifaddr" }, { "id": 3122, "name": "pcapy" }, { "id": 3123, "name": "srptools" }, { "id": 3124, "name": "opack" }, { "id": 3125, "name": "ipsw_parser" }, { "id": 4453, "name": "qh3" }, { "id": 5229, "name": "xonsh" }, { "id": 5230, "name": "parameter_decorators" }, { "id": 5313, "name": "sslpsk_pmd3" } ], "last_checked_revision": "5f52015b7de9ee71fe169c9497c7251eacab6a68\n" }, { "id": 471, "url": "https://github.com/mtenenholtz/chat-twitter", "description": "", "stars": 399, "source_graph_repo_id": 60837846, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 38, "name": "pydantic" }, { "id": 43, "name": "pinecone" }, { "id": 50, "name": "tiktoken" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" } ], "last_checked_revision": "f889b688aa35d38a9823e0dde5c0cff94a6ae1fc\n" }, { "id": 472, "url": "https://github.com/tsukumijima/KonomiTV", "description": "KonomiTV: Kept Organized, Notably Optimized, Modern Interface TV media server", "stars": 418, "source_graph_repo_id": 55660725, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 62, "name": "app" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 82, "name": "PIL" }, { "id": 86, "name": "sse_starlette" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 409, "name": "watchdog" }, { "id": 539, "name": "pydantic_core" }, { "id": 1010, "name": "tortoise" }, { "id": 1028, "name": "ruamel" }, { "id": 1083, "name": "aiofiles" }, { "id": 1086, "name": "win32api" }, { "id": 1436, "name": "emoji" }, { "id": 1762, "name": "tweepy" }, { "id": 2853, "name": "win32security" }, { "id": 2970, "name": "fastapi_restful" }, { "id": 3053, "name": "distro" }, { "id": 3121, "name": "ifaddr" }, { "id": 3187, "name": "hashids" }, { "id": 3190, "name": "win32serviceutil" }, { "id": 3191, "name": "servicemanager" }, { "id": 3192, "name": "biim" }, { "id": 3193, "name": "aerich" }, { "id": 3194, "name": "elevate" }, { "id": 3195, "name": "ariblib" }, { "id": 3196, "name": "win32service" }, { "id": 3197, "name": "py7zr" }, { "id": 3198, "name": "puremagic" }, { "id": 3199, "name": "pymediainfo" }, { "id": 3200, "name": "tweepy_authlib" }, { "id": 4105, "name": "ping3" } ], "last_checked_revision": "924b9c36718453380748d5cbec3ee70b4944128f\n" }, { "id": 473, "url": "https://github.com/Interpause/auto-sd-paint-ext", "description": "Extension for AUTOMATIC1111 to add custom backend API for Krita Plugin & more", "stars": 416, "source_graph_repo_id": 59497997, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 82, "name": "PIL" }, { "id": 118, "name": "gradio" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" }, { "id": 3930, "name": "krita" } ], "last_checked_revision": "00714355890aefa9a09e7fdb1f9a136c46a17618\n" }, { "id": 474, "url": "https://github.com/elastic/apm-agent-python", "description": "Official Python agent for Elastic APM", "stars": 389, "source_graph_repo_id": 1355346, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 30, "name": "certifi" }, { "id": 37, "name": "httpx" }, { "id": 46, "name": "azure" }, { "id": 49, "name": "grpc" }, { "id": 52, "name": "psycopg2cffi" }, { "id": 56, "name": "redis" }, { "id": 59, "name": "elasticsearch" }, { "id": 60, "name": "psycopg2" }, { "id": 66, "name": "celery" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 81, "name": "boto3" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 147, "name": "sanic" }, { "id": 224, "name": "google" }, { "id": 259, "name": "asgiref" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 349, "name": "mock" }, { "id": 430, "name": "urllib3" }, { "id": 497, "name": "prometheus_client" }, { "id": 531, "name": "opentelemetry" }, { "id": 621, "name": "elastic_transport" }, { "id": 885, "name": "eventlet" }, { "id": 886, "name": "werkzeug" }, { "id": 906, "name": "quart" }, { "id": 909, "name": "tornado" }, { "id": 930, "name": "multidict" }, { "id": 963, "name": "simplejson" }, { "id": 974, "name": "cachetools" }, { "id": 1057, "name": "kafka" }, { "id": 1128, "name": "cassandra" }, { "id": 1235, "name": "twisted" }, { "id": 1236, "name": "zope" }, { "id": 1256, "name": "rest_framework" }, { "id": 1409, "name": "opentracing" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1459, "name": "wrapt" }, { "id": 1463, "name": "gevent" }, { "id": 1493, "name": "psycopg" }, { "id": 1530, "name": "uwsgi" }, { "id": 1538, "name": "pytest_localserver" }, { "id": 1680, "name": "pytest_bdd" }, { "id": 1683, "name": "structlog" }, { "id": 1685, "name": "sanic_testing" }, { "id": 1687, "name": "uwsgidecorators" }, { "id": 1739, "name": "httplib2" }, { "id": 1803, "name": "logbook" }, { "id": 1804, "name": "ecs_logging" } ], "last_checked_revision": "46b0c525f1099e66b470c5eed39ff5dc1fff3140\n" }, { "id": 475, "url": "https://github.com/googleapis/python-aiplatform", "description": "A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.", "stars": 426, "source_graph_repo_id": 42302417, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 5, "name": "mlflow" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 49, "name": "grpc" }, { "id": 73, "name": "jinja2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 115, "name": "packaging" }, { "id": 135, "name": "pkg_resources" }, { "id": 159, "name": "lightning" }, { "id": 245, "name": "absl" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 349, "name": "mock" }, { "id": 355, "name": "importlib_metadata" }, { "id": 412, "name": "cloudpickle" }, { "id": 418, "name": "joblib" }, { "id": 430, "name": "urllib3" }, { "id": 446, "name": "tensorboardX" }, { "id": 598, "name": "torchdata" }, { "id": 607, "name": "tensorboard" }, { "id": 765, "name": "attr" }, { "id": 778, "name": "docker" }, { "id": 799, "name": "xgboost" }, { "id": 886, "name": "werkzeug" }, { "id": 1136, "name": "proto" }, { "id": 1255, "name": "helpers" }, { "id": 1466, "name": "nox" }, { "id": 2157, "name": "kfp" }, { "id": 2885, "name": "model_registry" }, { "id": 2886, "name": "test_utils" }, { "id": 2887, "name": "experiment_tracking" }, { "id": 2888, "name": "vizier" }, { "id": 2889, "name": "tensorboard_plugin_profile" }, { "id": 2890, "name": "lit_nlp" }, { "id": 2891, "name": "explainable_ai_sdk" }, { "id": 2892, "name": "test_constants" }, { "id": 2893, "name": "grpc_testing" }, { "id": 2894, "name": "synthtool" }, { "id": 3039, "name": "tensorflow_io" }, { "id": 4373, "name": "bigframes" }, { "id": 4374, "name": "pyfakefs" }, { "id": 5331, "name": "vector_search" } ], "last_checked_revision": "ec3ea305cd8a858fb770794c35481cdbc1520990\n" }, { "id": 476, "url": "https://github.com/SthPhoenix/InsightFace-REST", "description": "InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.", "stars": 409, "source_graph_repo_id": 39494590, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 78, "name": "imageio" }, { "id": 85, "name": "tritonclient" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 452, "name": "onnxruntime" }, { "id": 468, "name": "onnx" }, { "id": 476, "name": "modules" }, { "id": 480, "name": "turbojpeg" }, { "id": 524, "name": "tensorrt" }, { "id": 640, "name": "numba" }, { "id": 787, "name": "mxnet" }, { "id": 804, "name": "cupy" }, { "id": 1083, "name": "aiofiles" }, { "id": 1107, "name": "msgpack" }, { "id": 2412, "name": "cupyx" }, { "id": 2413, "name": "nvjpeg" }, { "id": 2414, "name": "insightface" }, { "id": 2415, "name": "pycuda" }, { "id": 2416, "name": "exifread" }, { "id": 5581, "name": "fastapi_offline" } ], "last_checked_revision": "b1575db7c9642d452b7245f1efbe8ba527595884\n" }, { "id": 477, "url": "https://github.com/Azure-Samples/openai-plugin-fastapi", "description": "A simple ChatGPT Plugin running in Codespaces for dev and Azure for production.", "stars": 407, "source_graph_repo_id": 61042076, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 31, "name": "yaml" } ], "last_checked_revision": "e587fbdc0eb0a0b1a9a960ddb68717c8ac78bb02\n" }, { "id": 478, "url": "https://github.com/MediaBrain-SJTU/MING", "description": "\u660e\u533b (MING)\uff1a\u4e2d\u6587\u533b\u7597\u95ee\u8bca\u5927\u6a21\u578b", "stars": 474, "source_graph_repo_id": 60772820, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 96, "name": "rich" }, { "id": 111, "name": "einops" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 178, "name": "peft" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 516, "name": "shortuuid" }, { "id": 551, "name": "deepspeed" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 555, "name": "polyglot" }, { "id": 557, "name": "pycld2" }, { "id": 559, "name": "markdownify" }, { "id": 1071, "name": "markdown2" }, { "id": 2729, "name": "ignite" }, { "id": 3786, "name": "lion_pytorch" }, { "id": 4201, "name": "cacheflow" } ], "last_checked_revision": "089479aa58e2c63cf17534f648348fcfdd35a902\n" }, { "id": 479, "url": "https://github.com/leosussan/fastapi-gino-arq-uvicorn", "description": "High-performance Async REST API, in Python. FastAPI + GINO + Arq + Uvicorn (w/ Redis and PostgreSQL).", "stars": 385, "source_graph_repo_id": 38898842, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 74, "name": "sentry_sdk" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1425, "name": "gino" }, { "id": 1541, "name": "arq" } ], "last_checked_revision": "dd4213f4113825ddce3d3a6a39e54ef77df6014f\n" }, { "id": 480, "url": "https://github.com/atpuxiner/toollib", "description": "This is a tool library.\uff08\u5de5\u5177\u5e93>>>\u8ba9\u4f60\u7684\u4ee3\u7801\u66f4\u5feb\u66f4\u4f18\u96c5\uff0c\u66f4\u6709pytcli\u547d\u4ee4\u884c\uff09", "stars": 391, "source_graph_repo_id": 56900330, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 49, "name": "grpc" }, { "id": 56, "name": "redis" }, { "id": 115, "name": "packaging" }, { "id": 135, "name": "pkg_resources" }, { "id": 215, "name": "cryptography" }, { "id": 495, "name": "Cython" }, { "id": 643, "name": "Crypto" }, { "id": 1755, "name": "openpyxl" }, { "id": 2670, "name": "pyDes" }, { "id": 3395, "name": "grpc_tools" } ], "last_checked_revision": "1fbe641ad4285fc0b4acece0a038614cc3b18f2a\n" }, { "id": 481, "url": "https://github.com/qingkongzhiqian/GPT2-Summary", "description": "\u57fa\u4e8eGPT2\u7684\u4e2d\u6587\u6458\u8981\u751f\u6210\u6a21\u578b", "stars": 381, "source_graph_repo_id": 41035014, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 223, "name": "botocore" }, { "id": 245, "name": "absl" }, { "id": 255, "name": "spacy" }, { "id": 442, "name": "filelock" }, { "id": 461, "name": "ftfy" }, { "id": 479, "name": "regex" }, { "id": 519, "name": "sentencepiece" }, { "id": 697, "name": "Mykytea" }, { "id": 706, "name": "pythainlp" }, { "id": 862, "name": "fairseq" }, { "id": 1501, "name": "MeCab" }, { "id": 1505, "name": "sacremoses" } ], "last_checked_revision": "9567d345065e67c03493eab9392de41b6afe7081\n" }, { "id": 482, "url": "https://github.com/permitio/fastapi_websocket_pubsub", "description": "A fast and durable Pub/Sub channel over Websockets. FastAPI + WebSockets + PubSub == \u26a1 \ud83d\udcaa \u2764\ufe0f", "stars": 399, "source_graph_repo_id": 43034649, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 115, "name": "packaging" }, { "id": 574, "name": "websockets" }, { "id": 1847, "name": "broadcaster" }, { "id": 3032, "name": "fastapi_websocket_rpc" } ], "last_checked_revision": "c3376a88a8467d0b41a87ba40e2883cac684af4f\n" }, { "id": 483, "url": "https://github.com/BurhanUlTayyab/GPTZero", "description": "An open-source implementation of GPTZero ", "stars": 401, "source_graph_repo_id": 60166400, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 118, "name": "gradio" } ], "last_checked_revision": "c4efbf287fc4aed1b361e4f4e41118f9719bdb37\n" }, { "id": 484, "url": "https://github.com/Lancetnik/Propan", "description": "Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker", "stars": 444, "source_graph_repo_id": 60732697, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 76, "name": "click" }, { "id": 106, "name": "anyio" }, { "id": 147, "name": "sanic" }, { "id": 148, "name": "main" }, { "id": 223, "name": "botocore" }, { "id": 538, "name": "pydantic_settings" }, { "id": 539, "name": "pydantic_core" }, { "id": 546, "name": "mkdocs" }, { "id": 772, "name": "config" }, { "id": 929, "name": "yarl" }, { "id": 1057, "name": "kafka" }, { "id": 1360, "name": "aiobotocore" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1579, "name": "aiormq" }, { "id": 1580, "name": "aio_pika" }, { "id": 1957, "name": "asyncmock" }, { "id": 2797, "name": "aiokafka" }, { "id": 3308, "name": "nats" }, { "id": 3368, "name": "jsonref" }, { "id": 3673, "name": "polyfactory" }, { "id": 4192, "name": "message_pb2" }, { "id": 4193, "name": "pamqp" }, { "id": 4194, "name": "typing_extension" }, { "id": 4195, "name": "fast_depends" } ], "last_checked_revision": "5cc6c65a784a93316f9473b0f9786d162801e317\n" }, { "id": 485, "url": "https://github.com/mesolitica/malaya", "description": " Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/", "stars": 390, "source_graph_repo_id": 37402263, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 47, "name": "tenacity" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 87, "name": "tokenizers" }, { "id": 111, "name": "einops" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 139, "name": "model" }, { "id": 140, "name": "scipy" }, { "id": 145, "name": "fire" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 178, "name": "peft" }, { "id": 180, "name": "apex" }, { "id": 183, "name": "openai" }, { "id": 186, "name": "seaborn" }, { "id": 189, "name": "accelerate" }, { "id": 216, "name": "newspaper" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 245, "name": "absl" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 292, "name": "flask" }, { "id": 400, "name": "altair" }, { "id": 410, "name": "selenium" }, { "id": 461, "name": "ftfy" }, { "id": 479, "name": "regex" }, { "id": 519, "name": "sentencepiece" }, { "id": 620, "name": "networkx" }, { "id": 675, "name": "modeling" }, { "id": 695, "name": "tensorflow_text" }, { "id": 741, "name": "gensim" }, { "id": 798, "name": "fasttext" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 866, "name": "util" }, { "id": 1436, "name": "emoji" }, { "id": 1569, "name": "dateparser" }, { "id": 1618, "name": "unidecode" }, { "id": 1665, "name": "enchant" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 1805, "name": "kenlm" }, { "id": 1892, "name": "graphviz" }, { "id": 1982, "name": "tensorflow_probability" }, { "id": 2082, "name": "tensor2tensor" }, { "id": 2083, "name": "bigbird" }, { "id": 2084, "name": "mesh_tensorflow" }, { "id": 2085, "name": "eflomal" }, { "id": 2086, "name": "bert" }, { "id": 2087, "name": "toolz" }, { "id": 2088, "name": "malaya_boilerplate" }, { "id": 2089, "name": "gpt_2" }, { "id": 2090, "name": "create_pretraining_data" }, { "id": 2091, "name": "herpetologist" }, { "id": 2092, "name": "pegasus" }, { "id": 2093, "name": "gin" }, { "id": 2094, "name": "transformer" }, { "id": 2095, "name": "fake_useragent" }, { "id": 2096, "name": "t5" }, { "id": 2097, "name": "optimization" }, { "id": 2098, "name": "youtokentome" }, { "id": 2099, "name": "gpt_2_simple" }, { "id": 2100, "name": "data_utils" }, { "id": 2101, "name": "prepro_utils" }, { "id": 2102, "name": "xlnet" }, { "id": 2103, "name": "moxing" }, { "id": 2104, "name": "Sastrawi" }, { "id": 2105, "name": "function_builder" }, { "id": 2106, "name": "seqio" }, { "id": 2107, "name": "smith" }, { "id": 2108, "name": "symspellpy" }, { "id": 2109, "name": "pyLDAvis" }, { "id": 2110, "name": "multilanguagebert_transformer" }, { "id": 2111, "name": "albert" }, { "id": 2112, "name": "custom_optimization" }, { "id": 2113, "name": "model_utils" }, { "id": 2114, "name": "fast_transformer" }, { "id": 2115, "name": "dtw" }, { "id": 2116, "name": "wiktionaryparser" }, { "id": 2117, "name": "gpu_utils" }, { "id": 2118, "name": "tokenization" }, { "id": 2119, "name": "custom_function_builder" } ], "last_checked_revision": "06a92a8e608bf136e8dbe93469e32d4cf9b8d53f\n" }, { "id": 486, "url": "https://github.com/Ameobea/web-synth", "description": "A web-based sound synthesis, music production, and audio experimentation platform", "stars": 370, "source_graph_repo_id": 40267650, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 81, "name": "boto3" }, { "id": 140, "name": "scipy" }, { "id": 223, "name": "botocore" }, { "id": 754, "name": "librosa" }, { "id": 2699, "name": "emblaze" } ], "last_checked_revision": "29e6fd70955bd73a7db12c2bb741b00a57cb6b1f\n" }, { "id": 487, "url": "https://github.com/brillout/wildcard-api", "description": "Functions as API.", "stars": 367, "source_graph_repo_id": 37042809, "dependencies": [], "last_checked_revision": null }, { "id": 488, "url": "https://github.com/zzsza/Boostcamp-AI-Tech-Product-Serving", "description": "[Machine Learning Engineer Basic Guide] \ubd80\uc2a4\ud2b8\ucea0\ud504 AI Tech - Product Serving \uc790\ub8cc ", "stars": 370, "source_graph_repo_id": 56610945, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 54, "name": "loguru" }, { "id": 62, "name": "app" }, { "id": 78, "name": "imageio" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 98, "name": "pytz" }, { "id": 174, "name": "albumentations" }, { "id": 224, "name": "google" }, { "id": 236, "name": "sqlmodel" }, { "id": 273, "name": "airflow" }, { "id": 418, "name": "joblib" }, { "id": 538, "name": "pydantic_settings" }, { "id": 1119, "name": "bentoml" }, { "id": 1617, "name": "pythonjsonlogger" }, { "id": 3697, "name": "assignments" }, { "id": 3698, "name": "efficientnet_pytorch" } ], "last_checked_revision": "71f5c1d68da98d27c3e605a7ef63e99738a77eaa\n" }, { "id": 489, "url": "https://github.com/marko-knoebl/slides", "description": "Presentations for programming courses", "stars": 365, "source_graph_repo_id": 39173703, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 38, "name": "pydantic" }, { "id": 80, "name": "tensorflow" }, { "id": 122, "name": "psutil" }, { "id": 161, "name": "matplotlib" }, { "id": 186, "name": "seaborn" }, { "id": 857, "name": "keras" }, { "id": 2367, "name": "ZODB" }, { "id": 2368, "name": "transaction" }, { "id": 2369, "name": "python_advanced" } ], "last_checked_revision": "fb45ff28a695f97af9da2813bbddb8ff0de1786c\n" }, { "id": 490, "url": "https://github.com/chatchat-space/Langchain-Chatchat", "description": "Langchain-Chatchat\uff08\u539fLangchain-ChatGLM\uff09\u57fa\u4e8e Langchain \u4e0e ChatGLM \u7b49\u8bed\u8a00\u6a21\u578b\u7684\u672c\u5730\u77e5\u8bc6\u5e93\u95ee\u7b54 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain ", "stars": 20341, "source_graph_repo_id": 60721452, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 57, "name": "llama_index" }, { "id": 58, "name": "pymilvus" }, { "id": 59, "name": "elasticsearch" }, { "id": 68, "name": "sqlalchemy" }, { "id": 86, "name": "sse_starlette" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 138, "name": "nltk" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 246, "name": "sentence_transformers" }, { "id": 558, "name": "vllm" }, { "id": 559, "name": "markdownify" }, { "id": 574, "name": "websockets" }, { "id": 611, "name": "fitz" }, { "id": 615, "name": "faiss" }, { "id": 974, "name": "cachetools" }, { "id": 1045, "name": "chardet" }, { "id": 1072, "name": "unstructured" }, { "id": 1380, "name": "fastchat" }, { "id": 1471, "name": "rapidocr_onnxruntime" }, { "id": 1913, "name": "numexpr" }, { "id": 2752, "name": "st_aggrid" }, { "id": 3399, "name": "modelscope" }, { "id": 4000, "name": "dashscope" }, { "id": 4203, "name": "metaphor_python" }, { "id": 4324, "name": "streamlit_option_menu" }, { "id": 4341, "name": "streamlit_chatbox" }, { "id": 4451, "name": "zhipuai" }, { "id": 4678, "name": "volcengine" }, { "id": 4890, "name": "rapidocr_paddle" }, { "id": 5072, "name": "strsimpy" }, { "id": 5226, "name": "langchain_core" }, { "id": 5317, "name": "streamlit_modal" } ], "last_checked_revision": "61bc81554002241ad38bc268fc7fe79cac380ffb\n" }, { "id": 491, "url": "https://github.com/sweepai/sweep", "description": "Sweep: AI-powered Junior Developer for small features and bug fixes.", "stars": 6538, "source_graph_repo_id": 61180985, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 57, "name": "llama_index" }, { "id": 66, "name": "celery" }, { "id": 77, "name": "dotenv" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 202, "name": "resend" }, { "id": 206, "name": "langchain" }, { "id": 207, "name": "black" }, { "id": 246, "name": "sentence_transformers" }, { "id": 251, "name": "playwright" }, { "id": 421, "name": "dataclasses_json" }, { "id": 479, "name": "regex" }, { "id": 502, "name": "pyflakes" }, { "id": 556, "name": "anthropic" }, { "id": 559, "name": "markdownify" }, { "id": 595, "name": "backoff" }, { "id": 620, "name": "networkx" }, { "id": 630, "name": "pylint" }, { "id": 632, "name": "posthog" }, { "id": 633, "name": "rapidfuzz" }, { "id": 689, "name": "src" }, { "id": 690, "name": "markdown" }, { "id": 765, "name": "attr" }, { "id": 778, "name": "docker" }, { "id": 1061, "name": "jwt" }, { "id": 1079, "name": "isort" }, { "id": 1088, "name": "replicate" }, { "id": 1104, "name": "pathspec" }, { "id": 1354, "name": "highlight_io" }, { "id": 1381, "name": "modal" }, { "id": 1640, "name": "github" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 1892, "name": "graphviz" }, { "id": 2617, "name": "whoosh" }, { "id": 2720, "name": "deeplake" }, { "id": 2972, "name": "jedi" }, { "id": 4073, "name": "geopy" }, { "id": 4342, "name": "tree_sitter" }, { "id": 4343, "name": "robotexclusionrulesparser" }, { "id": 4344, "name": "e2b" }, { "id": 4380, "name": "tree_sitter_languages" }, { "id": 4396, "name": "sandbox" }, { "id": 4662, "name": "anton" }, { "id": 4787, "name": "logtail" }, { "id": 4896, "name": "yamllint" }, { "id": 4897, "name": "baserun" }, { "id": 4924, "name": "rope" }, { "id": 5195, "name": "importmagic" } ], "last_checked_revision": "e460aa37490af35a30871e42e54c2fb327c3f416\n" }, { "id": 492, "url": "https://github.com/varunshenoy/opendream", "description": "An extensible, easy-to-use, and portable diffusion web UI \ud83d\udc68\u200d\ud83c\udfa8", "stars": 1630, "source_graph_repo_id": 61522135, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 82, "name": "PIL" }, { "id": 158, "name": "diffusers" }, { "id": 846, "name": "segment_anything" }, { "id": 888, "name": "controlnet_aux" } ], "last_checked_revision": "40d239419f5a5243d0e1bb8111e8bc985cf41e4d\n" }, { "id": 493, "url": "https://github.com/s0md3v/sd-webui-roop", "description": "roop extension for StableDiffusion web-ui", "stars": 2896, "source_graph_repo_id": 61204050, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 452, "name": "onnxruntime" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" }, { "id": 2414, "name": "insightface" }, { "id": 4378, "name": "ifnude" } ], "last_checked_revision": "868f7d1bdd0e1dd6656b06d650fd16a7d414892b\n" }, { "id": 494, "url": "https://github.com/dickreuter/Poker", "description": "Fully functional Pokerbot that works on PartyPoker, PokerStars and GGPoker, scraping tables with Open-CV (adaptable via gui) or neural network and making decisions based on a genetic algorithm and montecarlo simulation for poker equity calculation. Binaries can be downloaded with this link:", "stars": 1759, "source_graph_repo_id": 39972389, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 186, "name": "seaborn" }, { "id": 612, "name": "pytesseract" }, { "id": 630, "name": "pylint" }, { "id": 857, "name": "keras" }, { "id": 1086, "name": "win32api" }, { "id": 1483, "name": "win32com" }, { "id": 1913, "name": "numexpr" }, { "id": 1924, "name": "win32con" }, { "id": 2328, "name": "PyQt6" }, { "id": 3858, "name": "win32file" }, { "id": 4107, "name": "pylab" }, { "id": 4355, "name": "Xlib" }, { "id": 4356, "name": "AppKit" }, { "id": 4357, "name": "Quartz" }, { "id": 4358, "name": "pydocstyle" }, { "id": 4359, "name": "virtualbox" }, { "id": 4360, "name": "pythoncom" }, { "id": 4361, "name": "winerror" }, { "id": 4362, "name": "pyHook" }, { "id": 4363, "name": "tesserocr" }, { "id": 4364, "name": "lmfit" }, { "id": 4365, "name": "win32event" }, { "id": 4366, "name": "xpcom" }, { "id": 4367, "name": "VirtualBox_wrappers" } ], "last_checked_revision": "135c22f8a201fca8142b706260ad88f503ccf01a\n" }, { "id": 495, "url": "https://github.com/dot-agent/nextpy", "description": "\u26a1Pure Python Web App Framework: For Humans & LLMs\ud83e\udd16 World's first AMS\ud83e\udd47", "stars": 1806, "source_graph_repo_id": 61488355, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 40, "name": "pptx" }, { "id": 41, "name": "docx2txt" }, { "id": 42, "name": "weaviate" }, { "id": 43, "name": "pinecone" }, { "id": 44, "name": "chromadb" }, { "id": 46, "name": "azure" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 51, "name": "qdrant_client" }, { "id": 56, "name": "redis" }, { "id": 57, "name": "llama_index" }, { "id": 58, "name": "pymilvus" }, { "id": 59, "name": "elasticsearch" }, { "id": 60, "name": "psycopg2" }, { "id": 61, "name": "alembic" }, { "id": 62, "name": "app" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 88, "name": "pexpect" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 154, "name": "datasets" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 207, "name": "black" }, { "id": 210, "name": "slack_sdk" }, { "id": 212, "name": "duckduckgo_search" }, { "id": 218, "name": "lxml" }, { "id": 222, "name": "jira" }, { "id": 224, "name": "google" }, { "id": 225, "name": "google_auth_oauthlib" }, { "id": 226, "name": "googleapiclient" }, { "id": 236, "name": "sqlmodel" }, { "id": 243, "name": "html2text" }, { "id": 246, "name": "sentence_transformers" }, { "id": 250, "name": "praw" }, { "id": 251, "name": "playwright" }, { "id": 255, "name": "spacy" }, { "id": 258, "name": "youtube_transcript_api" }, { "id": 260, "name": "IPython" }, { "id": 266, "name": "discord" }, { "id": 278, "name": "plotly" }, { "id": 292, "name": "flask" }, { "id": 335, "name": "_typeshed" }, { "id": 408, "name": "socketio" }, { "id": 409, "name": "watchdog" }, { "id": 410, "name": "selenium" }, { "id": 411, "name": "starlette_admin" }, { "id": 412, "name": "cloudpickle" }, { "id": 421, "name": "dataclasses_json" }, { "id": 442, "name": "filelock" }, { "id": 447, "name": "svglib" }, { "id": 450, "name": "reportlab" }, { "id": 479, "name": "regex" }, { "id": 500, "name": "graphql" }, { "id": 519, "name": "sentencepiece" }, { "id": 521, "name": "jsonlines" }, { "id": 528, "name": "docarray" }, { "id": 531, "name": "opentelemetry" }, { "id": 551, "name": "deepspeed" }, { "id": 554, "name": "vertexai" }, { "id": 574, "name": "websockets" }, { "id": 583, "name": "__main__" }, { "id": 611, "name": "fitz" }, { "id": 612, "name": "pytesseract" }, { "id": 613, "name": "platformdirs" }, { "id": 617, "name": "astroid" }, { "id": 630, "name": "pylint" }, { "id": 631, "name": "responses" }, { "id": 639, "name": "whisper" }, { "id": 695, "name": "tensorflow_text" }, { "id": 698, "name": "pydub" }, { "id": 722, "name": "pdf2image" }, { "id": 734, "name": "pymysql" }, { "id": 765, "name": "attr" }, { "id": 819, "name": "pyspark" }, { "id": 826, "name": "retrying" }, { "id": 874, "name": "fastapi_socketio" }, { "id": 896, "name": "llama_cpp" }, { "id": 900, "name": "InstructorEmbedding" }, { "id": 928, "name": "pygtrie" }, { "id": 932, "name": "tomli" }, { "id": 1026, "name": "jupyter_client" }, { "id": 1069, "name": "gptcache" }, { "id": 1072, "name": "unstructured" }, { "id": 1073, "name": "diskcache" }, { "id": 1083, "name": "aiofiles" }, { "id": 1112, "name": "filetype" }, { "id": 1117, "name": "watchfiles" }, { "id": 1151, "name": "tensorflow_hub" }, { "id": 1330, "name": "dbruntime" }, { "id": 1343, "name": "pyparsing" }, { "id": 1459, "name": "wrapt" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1629, "name": "faster_whisper" }, { "id": 1730, "name": "firebase_admin" }, { "id": 1748, "name": "speech_recognition" }, { "id": 1751, "name": "pyjokes" }, { "id": 1762, "name": "tweepy" }, { "id": 1763, "name": "xlrd" }, { "id": 2002, "name": "databricks" }, { "id": 2028, "name": "nbconvert" }, { "id": 2038, "name": "ipykernel" }, { "id": 2331, "name": "pypdf" }, { "id": 2335, "name": "feedparser" }, { "id": 2550, "name": "msal" }, { "id": 2556, "name": "atlassian" }, { "id": 2599, "name": "pyvirtualdisplay" }, { "id": 2720, "name": "deeplake" }, { "id": 2939, "name": "pdfminer" }, { "id": 3053, "name": "distro" }, { "id": 3085, "name": "haystack" }, { "id": 3186, "name": "prisma" }, { "id": 3225, "name": "python_graphql_client" }, { "id": 3285, "name": "apify_client" }, { "id": 3399, "name": "modelscope" }, { "id": 3449, "name": "odps" }, { "id": 3477, "name": "neo4j" }, { "id": 3557, "name": "asana" }, { "id": 3615, "name": "gql" }, { "id": 3759, "name": "aioresponses" }, { "id": 3901, "name": "wikipedia" }, { "id": 3974, "name": "asyncer" }, { "id": 3979, "name": "bilibili_api" }, { "id": 3986, "name": "steamship" }, { "id": 3990, "name": "pyairtable" }, { "id": 3994, "name": "zep_python" }, { "id": 4001, "name": "pinecone_text" }, { "id": 4002, "name": "bibtexparser" }, { "id": 4012, "name": "googlemaps" }, { "id": 4018, "name": "metal_sdk" }, { "id": 4020, "name": "openapi_schema_pydantic" }, { "id": 4022, "name": "aleph_alpha_client" }, { "id": 4030, "name": "pyowm" }, { "id": 4031, "name": "rdflib" }, { "id": 4034, "name": "youtube_search" }, { "id": 4042, "name": "cnosdb_connector" }, { "id": 4047, "name": "hubspot" }, { "id": 4056, "name": "KalturaClient" }, { "id": 4057, "name": "ebooklib" }, { "id": 4059, "name": "feedly" }, { "id": 4060, "name": "zulip" }, { "id": 4061, "name": "pandasai" }, { "id": 4062, "name": "chatminer" }, { "id": 4063, "name": "snscrape" }, { "id": 4064, "name": "trello" }, { "id": 4065, "name": "pydrive" }, { "id": 4067, "name": "deepdoctection" }, { "id": 4068, "name": "arxiv" }, { "id": 4069, "name": "couchdb3" }, { "id": 4071, "name": "spotipy" }, { "id": 4072, "name": "trafilatura" }, { "id": 4073, "name": "geopy" }, { "id": 4074, "name": "opendal" }, { "id": 4076, "name": "gkeepapi" }, { "id": 4077, "name": "osmxtract" }, { "id": 4202, "name": "langflow" }, { "id": 4236, "name": "chainlit" }, { "id": 4237, "name": "syncer" }, { "id": 4238, "name": "auth0" }, { "id": 4239, "name": "uptrace" }, { "id": 4255, "name": "litellm" }, { "id": 4313, "name": "scholarly" }, { "id": 4368, "name": "creds" }, { "id": 4369, "name": "gui" }, { "id": 4370, "name": "llama_hub" }, { "id": 4394, "name": "jurigged" }, { "id": 4488, "name": "charset_normalizer" }, { "id": 5570, "name": "codefind" }, { "id": 5571, "name": "ovld" }, { "id": 5572, "name": "blessed" }, { "id": 5573, "name": "xtconfig" }, { "id": 5582, "name": "llm_eval_plotly" }, { "id": 5583, "name": "simple_chat" }, { "id": 5584, "name": "nextpy_chat" }, { "id": 5589, "name": "dotagent" } ], "last_checked_revision": "9ed4358254e31011b79ec260ae76f05055153bc0\n" }, { "id": 496, "url": "https://github.com/filip-michalsky/SalesGPT", "description": "Context-aware AI Sales Agent to automate sales outreach.", "stars": 1293, "source_graph_repo_id": 60901038, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 77, "name": "dotenv" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 4255, "name": "litellm" } ], "last_checked_revision": "8bcd700645762da78cfa284ce75d659a07f03d60\n" }, { "id": 497, "url": "https://github.com/flet-dev/flet", "description": "Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.", "stars": 7763, "source_graph_repo_id": 58078411, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 96, "name": "rich" }, { "id": 106, "name": "anyio" }, { "id": 115, "name": "packaging" }, { "id": 161, "name": "matplotlib" }, { "id": 215, "name": "cryptography" }, { "id": 227, "name": "websocket" }, { "id": 278, "name": "plotly" }, { "id": 409, "name": "watchdog" }, { "id": 574, "name": "websockets" }, { "id": 1004, "name": "colorama" }, { "id": 1021, "name": "oauthlib" }, { "id": 1305, "name": "flet" }, { "id": 1549, "name": "tomlkit" }, { "id": 1862, "name": "qrcode" }, { "id": 2020, "name": "js" }, { "id": 2732, "name": "PyInstaller" }, { "id": 2813, "name": "cookiecutter" }, { "id": 3043, "name": "copier" }, { "id": 4389, "name": "flet_core" }, { "id": 4390, "name": "flet_js" }, { "id": 4391, "name": "repath" }, { "id": 4392, "name": "flet_runtime" }, { "id": 4393, "name": "pefile" } ], "last_checked_revision": "31ef1bf90e6c20cdfc77d120334b10d749b25511\n" }, { "id": 498, "url": "https://github.com/FlagAlpha/Llama2-Chinese", "description": "Llama\u4e2d\u6587\u793e\u533a\uff0c\u6700\u597d\u7684\u4e2d\u6587Llama\u5927\u6a21\u578b\uff0c\u5b8c\u5168\u5f00\u6e90\u53ef\u5546\u7528", "stars": 7716, "source_graph_repo_id": 61372797, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 34, "name": "uvicorn" }, { "id": 118, "name": "gradio" }, { "id": 145, "name": "fire" }, { "id": 154, "name": "datasets" }, { "id": 165, "name": "evaluate" }, { "id": 178, "name": "peft" }, { "id": 206, "name": "langchain" }, { "id": 513, "name": "auto_gptq" }, { "id": 551, "name": "deepspeed" }, { "id": 558, "name": "vllm" }, { "id": 598, "name": "torchdata" }, { "id": 4957, "name": "lmdeploy" } ], "last_checked_revision": "e789431453ecbee9d8c5d466351765bc3718ed60\n" }, { "id": 499, "url": "https://github.com/flyteorg/flyte", "description": "Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.", "stars": 4305, "source_graph_repo_id": 39408457, "dependencies": [ { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 30, "name": "certifi" }, { "id": 49, "name": "grpc" }, { "id": 76, "name": "click" }, { "id": 124, "name": "git" }, { "id": 155, "name": "six" }, { "id": 224, "name": "google" }, { "id": 351, "name": "sphinx" }, { "id": 430, "name": "urllib3" }, { "id": 509, "name": "docutils" }, { "id": 1347, "name": "recommonmark" }, { "id": 1520, "name": "flytekit" }, { "id": 1923, "name": "jupytext" }, { "id": 4388, "name": "grafanalib" }, { "id": 4542, "name": "sphinx_fontawesome" } ], "last_checked_revision": "ba10600e633b731cb759343e040a6b941f1841a8\n" }, { "id": 500, "url": "https://github.com/innovatorved/whisper.api", "description": "This project provides an API with user level access support to transcribe speech to text using a finetuned and processed Whisper ASR model.", "stars": 803, "source_graph_repo_id": 61558400, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 38, "name": "pydantic" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 127, "name": "tqdm" }, { "id": 538, "name": "pydantic_settings" }, { "id": 812, "name": "faker" }, { "id": 2380, "name": "gdown" } ], "last_checked_revision": "d47dbd773ec01833a01d2501bc627152d861cdc1\n" }, { "id": 501, "url": "https://github.com/Dicklesworthstone/swiss_army_llama", "description": "A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.", "stars": 771, "source_graph_repo_id": 61496003, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 38, "name": "pydantic" }, { "id": 53, "name": "PyPDF2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 140, "name": "scipy" }, { "id": 206, "name": "langchain" }, { "id": 442, "name": "filelock" }, { "id": 615, "name": "faiss" }, { "id": 628, "name": "magic" }, { "id": 640, "name": "numba" }, { "id": 896, "name": "llama_cpp" }, { "id": 957, "name": "aioredis" }, { "id": 1059, "name": "decouple" }, { "id": 1629, "name": "faster_whisper" }, { "id": 4178, "name": "textract" }, { "id": 4428, "name": "hyppo" }, { "id": 4628, "name": "fast_vector_similarity" }, { "id": 4669, "name": "aioredlock" } ], "last_checked_revision": "8849d53e4be3f549b20f383e239b72569ca7152d\n" }, { "id": 502, "url": "https://github.com/Dataherald/dataherald", "description": "", "stars": 806, "source_graph_repo_id": 61535566, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 57, "name": "llama_index" }, { "id": 68, "name": "sqlalchemy" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 92, "name": "pymongo" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 215, "name": "cryptography" }, { "id": 224, "name": "google" }, { "id": 272, "name": "bson" }, { "id": 667, "name": "sqlparse" }, { "id": 902, "name": "overrides" }, { "id": 2270, "name": "sshtunnel" }, { "id": 4405, "name": "sql_metadata" } ], "last_checked_revision": "77ddec2337ed6a8116a78ea587091eedacbb6552\n" }, { "id": 503, "url": "https://github.com/satellitecomponent/Neurite", "description": "Neurite: Fractal Second Brain", "stars": 503, "source_graph_repo_id": 60801126, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 292, "name": "flask" }, { "id": 587, "name": "flask_cors" }, { "id": 4222, "name": "mlc_chat" } ], "last_checked_revision": "6b199b2d9b259fba3ad15f6b597070a8c88fcf1b\n" }, { "id": 504, "url": "https://github.com/unit-mesh/auto-dev", "description": "\ud83e\uddd9\u200dAutoDev: The AI-powered coding wizard with multilingual support \ud83c\udf10, auto code generation \ud83c\udfd7\ufe0f, and a helpful bug-slaying assistant \ud83d\udc1e! Customizable prompts \ud83c\udfa8 and a magic Auto Testing feature \ud83e\uddea included! \ud83d\ude80", "stars": 499, "source_graph_repo_id": 60824192, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 86, "name": "sse_starlette" }, { "id": 264, "name": "sseclient" }, { "id": 866, "name": "util" }, { "id": 4432, "name": "gluon_meson_components" } ], "last_checked_revision": "69a503927242e84b804c31a1d5fb3369c3326389\n" }, { "id": 505, "url": "https://github.com/Lightning-Universe/stable-diffusion-deploy", "description": "Learn to serve Stable Diffusion models on cloud infrastructure at scale. This Lightning App shows load-balancing, orchestrating, pre-provisioning, dynamic batching, GPU-inference, micro-services working together via the Lightning Apps framework.", "stars": 368, "source_graph_repo_id": 59332013, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 74, "name": "sentry_sdk" }, { "id": 82, "name": "PIL" }, { "id": 94, "name": "clip" }, { "id": 96, "name": "rich" }, { "id": 97, "name": "omegaconf" }, { "id": 107, "name": "ldm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 135, "name": "pkg_resources" }, { "id": 159, "name": "lightning" }, { "id": 190, "name": "locust" }, { "id": 251, "name": "playwright" }, { "id": 259, "name": "asgiref" }, { "id": 292, "name": "flask" }, { "id": 564, "name": "lightning_api_access" }, { "id": 575, "name": "lightning_cloud" }, { "id": 587, "name": "flask_cors" }, { "id": 2152, "name": "slack" }, { "id": 2798, "name": "starlette_exporter" }, { "id": 4075, "name": "ratelimit" }, { "id": 4430, "name": "stable_diffusion_inference" }, { "id": 4431, "name": "slack_command_bot" } ], "last_checked_revision": "f016444b7d03a0472161654b0e4d3c9ffe5adce6\n" }, { "id": 506, "url": "https://github.com/immich-app/immich", "description": "Self-hosted photo and video backup solution directly from your mobile phone.", "stars": 22278, "source_graph_repo_id": 57302245, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 62, "name": "app" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 136, "name": "open_clip" }, { "id": 185, "name": "huggingface_hub" }, { "id": 190, "name": "locust" }, { "id": 399, "name": "orjson" }, { "id": 452, "name": "onnxruntime" }, { "id": 468, "name": "onnx" }, { "id": 946, "name": "pytest_mock" }, { "id": 1140, "name": "gunicorn" }, { "id": 2414, "name": "insightface" }, { "id": 2588, "name": "aiocache" }, { "id": 2796, "name": "optimum" }, { "id": 2994, "name": "onnxsim" }, { "id": 3926, "name": "multilingual_clip" } ], "last_checked_revision": "093e61eee9349fa45969b20a56e2e5ebd899bccc\n" }, { "id": 507, "url": "https://github.com/Significant-Gravitas/AutoGPT", "description": "AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.", "stars": 155717, "source_graph_repo_id": 60616817, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 53, "name": "PyPDF2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 108, "name": "inflection" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 193, "name": "scripts" }, { "id": 212, "name": "duckduckgo_search" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 255, "name": "spacy" }, { "id": 373, "name": "tests" }, { "id": 399, "name": "orjson" }, { "id": 410, "name": "selenium" }, { "id": 430, "name": "urllib3" }, { "id": 461, "name": "ftfy" }, { "id": 477, "name": "webdriver_manager" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 620, "name": "networkx" }, { "id": 690, "name": "markdown" }, { "id": 778, "name": "docker" }, { "id": 823, "name": "pyvis" }, { "id": 936, "name": "toml" }, { "id": 946, "name": "pytest_mock" }, { "id": 1004, "name": "colorama" }, { "id": 1068, "name": "docx" }, { "id": 1070, "name": "auto_gpt_plugin_template" }, { "id": 1072, "name": "unstructured" }, { "id": 1076, "name": "playsound" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1431, "name": "vcr" }, { "id": 1640, "name": "github" }, { "id": 1709, "name": "mypy_boto3_s3" }, { "id": 1732, "name": "oauth2client" }, { "id": 2251, "name": "poetry" }, { "id": 2287, "name": "gspread" }, { "id": 2331, "name": "pypdf" }, { "id": 2740, "name": "hypercorn" }, { "id": 3053, "name": "distro" }, { "id": 3615, "name": "gql" }, { "id": 4131, "name": "helicone" }, { "id": 4255, "name": "litellm" }, { "id": 4410, "name": "click_default_group" }, { "id": 4479, "name": "agbenchmark_config" }, { "id": 4480, "name": "openapi_python_client" }, { "id": 4481, "name": "battleship" }, { "id": 4482, "name": "url_shortener" }, { "id": 4483, "name": "password_generator" }, { "id": 4484, "name": "agent_protocol" }, { "id": 4485, "name": "forge" }, { "id": 4486, "name": "agbenchmark" }, { "id": 4487, "name": "sample_code" }, { "id": 4488, "name": "charset_normalizer" }, { "id": 4489, "name": "autogpt" }, { "id": 4490, "name": "pylatexenc" }, { "id": 5332, "name": "sdk" }, { "id": 5694, "name": "agent_protocol_client" } ], "last_checked_revision": "25cc6ad6ae651c3b925ab9447421337c2f4b68e1\n" }, { "id": 508, "url": "https://github.com/jaywcjlove/reference", "description": "\u4e3a\u5f00\u53d1\u4eba\u5458\u5206\u4eab\u5feb\u901f\u53c2\u8003\u5907\u5fd8\u6e05\u5355(\u901f\u67e5\u8868)", "stars": 8432, "source_graph_repo_id": 59227693, "dependencies": [], "last_checked_revision": null }, { "id": 509, "url": "https://github.com/facebookresearch/nougat", "description": "Implementation of Nougat Neural Optical Understanding for Academic Documents", "stars": 7283, "source_graph_repo_id": 61586881, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 105, "name": "timm" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 159, "name": "lightning" }, { "id": 174, "name": "albumentations" }, { "id": 182, "name": "wandb" }, { "id": 399, "name": "orjson" }, { "id": 611, "name": "fitz" }, { "id": 612, "name": "pytesseract" }, { "id": 722, "name": "pdf2image" }, { "id": 1438, "name": "pebble" }, { "id": 1618, "name": "unidecode" }, { "id": 1620, "name": "pypdfium2" }, { "id": 2331, "name": "pypdf" }, { "id": 2473, "name": "Levenshtein" }, { "id": 2939, "name": "pdfminer" }, { "id": 4490, "name": "pylatexenc" }, { "id": 4538, "name": "soupsieve" }, { "id": 4539, "name": "fuzzysearch" }, { "id": 4540, "name": "htmlmin" }, { "id": 4541, "name": "sconf" } ], "last_checked_revision": "47c77d70727558b4a2025005491ecb26ee97f523\n" }, { "id": 510, "url": "https://github.com/intel-analytics/BigDL", "description": "Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm", "stars": 4685, "source_graph_repo_id": 627541, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 49, "name": "grpc" }, { "id": 56, "name": "redis" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 78, "name": "imageio" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 86, "name": "sse_starlette" }, { "id": 97, "name": "omegaconf" }, { "id": 107, "name": "ldm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 145, "name": "fire" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 174, "name": "albumentations" }, { "id": 177, "name": "h5py" }, { "id": 178, "name": "peft" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 206, "name": "langchain" }, { "id": 215, "name": "cryptography" }, { "id": 224, "name": "google" }, { "id": 245, "name": "absl" }, { "id": 246, "name": "sentence_transformers" }, { "id": 261, "name": "pyarrow" }, { "id": 292, "name": "flask" }, { "id": 412, "name": "cloudpickle" }, { "id": 417, "name": "xgboost_ray" }, { "id": 419, "name": "torchmetrics" }, { "id": 420, "name": "horovod" }, { "id": 425, "name": "fsspec" }, { "id": 438, "name": "cpuinfo" }, { "id": 442, "name": "filelock" }, { "id": 451, "name": "mmdet" }, { "id": 452, "name": "onnxruntime" }, { "id": 467, "name": "openvino" }, { "id": 468, "name": "onnx" }, { "id": 479, "name": "regex" }, { "id": 480, "name": "turbojpeg" }, { "id": 486, "name": "mmcv" }, { "id": 513, "name": "auto_gptq" }, { "id": 519, "name": "sentencepiece" }, { "id": 532, "name": "intel_extension_for_pytorch" }, { "id": 533, "name": "optuna" }, { "id": 535, "name": "smdistributed" }, { "id": 551, "name": "deepspeed" }, { "id": 562, "name": "gym" }, { "id": 573, "name": "inquirer" }, { "id": 615, "name": "faiss" }, { "id": 639, "name": "whisper" }, { "id": 640, "name": "numba" }, { "id": 754, "name": "librosa" }, { "id": 787, "name": "mxnet" }, { "id": 791, "name": "shap" }, { "id": 799, "name": "xgboost" }, { "id": 819, "name": "pyspark" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 857, "name": "keras" }, { "id": 895, "name": "lm_eval" }, { "id": 1004, "name": "colorama" }, { "id": 1020, "name": "pytablewriter" }, { "id": 1057, "name": "kafka" }, { "id": 1134, "name": "kubernetes" }, { "id": 1164, "name": "tensorflow_gan" }, { "id": 1312, "name": "ConfigSpace" }, { "id": 1328, "name": "pmdarima" }, { "id": 1335, "name": "sklearnex" }, { "id": 1347, "name": "recommonmark" }, { "id": 1377, "name": "zmq" }, { "id": 1380, "name": "fastchat" }, { "id": 1526, "name": "py4j" }, { "id": 1624, "name": "tf2onnx" }, { "id": 1715, "name": "wheel" }, { "id": 1737, "name": "pyttsx3" }, { "id": 1748, "name": "speech_recognition" }, { "id": 2000, "name": "prophet" }, { "id": 2086, "name": "bert" }, { "id": 2843, "name": "deprecated" }, { "id": 2847, "name": "onnxruntime_extensions" }, { "id": 2852, "name": "intel_pytorch_extension" }, { "id": 2861, "name": "jiwer" }, { "id": 2867, "name": "torch_ccl" }, { "id": 2994, "name": "onnxsim" }, { "id": 3004, "name": "pytorch_forecasting" }, { "id": 3662, "name": "sounddevice" }, { "id": 3735, "name": "synapse" }, { "id": 4161, "name": "TTS" }, { "id": 4274, "name": "llava" }, { "id": 4554, "name": "linear_q4_0" }, { "id": 4555, "name": "tensorflow_recommenders" }, { "id": 4556, "name": "friesian" }, { "id": 4557, "name": "neural_compressor" }, { "id": 4558, "name": "nets" }, { "id": 4559, "name": "oneccl_bindings_for_pytorch" }, { "id": 4560, "name": "bigdl" }, { "id": 4561, "name": "pl_examples" }, { "id": 4562, "name": "tsfresh" }, { "id": 4563, "name": "sigfig" }, { "id": 4564, "name": "testsuite" }, { "id": 4565, "name": "dmlc_tracker" }, { "id": 4566, "name": "pl_bolts" }, { "id": 4567, "name": "opencv_transforms" }, { "id": 4568, "name": "deepctr_torch" }, { "id": 4569, "name": "stable_diffusion" }, { "id": 4570, "name": "tensorflow_estimator" }, { "id": 4571, "name": "nn_service_pb2" }, { "id": 4572, "name": "inotify_simple" }, { "id": 4573, "name": "tensorflow_ranking" }, { "id": 4574, "name": "caffe" }, { "id": 4575, "name": "zoo" }, { "id": 4576, "name": "nlp_architect" }, { "id": 4577, "name": "tensorflow_examples" }, { "id": 4578, "name": "benchmark_util" }, { "id": 4579, "name": "deepctr" }, { "id": 4580, "name": "theano" }, { "id": 4775, "name": "linear_fp16_esimd" } ], "last_checked_revision": "a882c76e7a49d1dcc74d3b8ebf68d36574aa7ea0\n" }, { "id": 511, "url": "https://github.com/llSourcell/Doctor-Dignity", "description": "Doctor Dignity is an LLM that can pass the US Medical Licensing Exam. It works offline, it's cross-platform, & your health data stays private.", "stars": 3682, "source_graph_repo_id": 61507656, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 105, "name": "timm" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 513, "name": "auto_gptq" }, { "id": 514, "name": "tvm" }, { "id": 515, "name": "tlcpack_sphinx_addon" }, { "id": 516, "name": "shortuuid" }, { "id": 4222, "name": "mlc_chat" } ], "last_checked_revision": "3f2ffb6c892f13b50a708d05900d3227acb40ded\n" }, { "id": 512, "url": "https://github.com/srbhr/Resume-Matcher", "description": "Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions. ", "stars": 4168, "source_graph_repo_id": 55565111, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 51, "name": "qdrant_client" }, { "id": 138, "name": "nltk" }, { "id": 161, "name": "matplotlib" }, { "id": 255, "name": "spacy" }, { "id": 278, "name": "plotly" }, { "id": 450, "name": "reportlab" }, { "id": 620, "name": "networkx" }, { "id": 731, "name": "annotated_text" }, { "id": 903, "name": "cohere" }, { "id": 1859, "name": "xhtml2pdf" }, { "id": 2176, "name": "textdistance" }, { "id": 2317, "name": "textacy" }, { "id": 2331, "name": "pypdf" }, { "id": 4596, "name": "streamlit_extras" }, { "id": 4597, "name": "easygui" }, { "id": 4598, "name": "squarify" }, { "id": 4599, "name": "pywaffle" }, { "id": 4786, "name": "pathvalidate" } ], "last_checked_revision": "e61c95371459898c40504e6b962b0de7601466af\n" }, { "id": 513, "url": "https://github.com/microsoft/lida", "description": "Automatic Generation of Visualizations and Infographics using Large Language Models", "stars": 2029, "source_graph_repo_id": 61531920, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 82, "name": "PIL" }, { "id": 161, "name": "matplotlib" }, { "id": 278, "name": "plotly" }, { "id": 1073, "name": "diskcache" }, { "id": 4589, "name": "peacasso" }, { "id": 4590, "name": "llmx" } ], "last_checked_revision": "3203703e935bdaf9711cfb618a3f74d11b6a68c4\n" }, { "id": 514, "url": "https://github.com/QwenLM/Qwen-VL", "description": "The official repo of Qwen-VL (\u901a\u4e49\u5343\u95ee-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.", "stars": 2135, "source_graph_repo_id": 61557820, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 86, "name": "sse_starlette" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 178, "name": "peft" }, { "id": 189, "name": "accelerate" }, { "id": 551, "name": "deepspeed" }, { "id": 657, "name": "pycocotools" }, { "id": 1297, "name": "decord" }, { "id": 2418, "name": "av" }, { "id": 2433, "name": "pycocoevalcap" }, { "id": 3399, "name": "modelscope" } ], "last_checked_revision": "5ffae05ab30fa45f6b9c09541feadc4821e8e6ba\n" }, { "id": 515, "url": "https://github.com/run-llama/sec-insights", "description": "A real world full-stack application using LlamaIndex", "stars": 1721, "source_graph_repo_id": 61618058, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 57, "name": "llama_index" }, { "id": 61, "name": "alembic" }, { "id": 62, "name": "app" }, { "id": 68, "name": "sqlalchemy" }, { "id": 74, "name": "sentry_sdk" }, { "id": 86, "name": "sse_starlette" }, { "id": 106, "name": "anyio" }, { "id": 127, "name": "tqdm" }, { "id": 145, "name": "fire" }, { "id": 264, "name": "sseclient" }, { "id": 425, "name": "fsspec" }, { "id": 565, "name": "s3fs" }, { "id": 974, "name": "cachetools" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 3886, "name": "pdfkit" }, { "id": 4592, "name": "sec_edgar_downloader" }, { "id": 4593, "name": "pytickersymbols" }, { "id": 4594, "name": "polygon" } ], "last_checked_revision": "52945efbf9761da355ee60e15fdfa5116e2bc22d\n" }, { "id": 516, "url": "https://github.com/DAGWorks-Inc/hamilton", "description": "Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.", "stars": 1096, "source_graph_repo_id": 60454255, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 42, "name": "weaviate" }, { "id": 43, "name": "pinecone" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 53, "name": "PyPDF2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 218, "name": "lxml" }, { "id": 237, "name": "polars" }, { "id": 246, "name": "sentence_transformers" }, { "id": 261, "name": "pyarrow" }, { "id": 273, "name": "airflow" }, { "id": 278, "name": "plotly" }, { "id": 362, "name": "geopandas" }, { "id": 370, "name": "dask" }, { "id": 400, "name": "altair" }, { "id": 425, "name": "fsspec" }, { "id": 426, "name": "lightgbm" }, { "id": 469, "name": "termcolor" }, { "id": 509, "name": "docutils" }, { "id": 533, "name": "optuna" }, { "id": 583, "name": "__main__" }, { "id": 620, "name": "networkx" }, { "id": 640, "name": "numba" }, { "id": 799, "name": "xgboost" }, { "id": 819, "name": "pyspark" }, { "id": 903, "name": "cohere" }, { "id": 1074, "name": "duckdb" }, { "id": 1125, "name": "bytewax" }, { "id": 1138, "name": "feast" }, { "id": 1506, "name": "typing_inspect" }, { "id": 1509, "name": "distributed" }, { "id": 1892, "name": "graphviz" }, { "id": 2217, "name": "prefect" }, { "id": 2331, "name": "pypdf" }, { "id": 3378, "name": "client" }, { "id": 3927, "name": "marqo" }, { "id": 3993, "name": "lancedb" }, { "id": 4068, "name": "arxiv" }, { "id": 4255, "name": "litellm" }, { "id": 4461, "name": "absenteeism" }, { "id": 4462, "name": "function_modules" }, { "id": 4463, "name": "pandera" }, { "id": 4464, "name": "components" }, { "id": 4465, "name": "python_transforms" }, { "id": 4898, "name": "utilsforecast" }, { "id": 4899, "name": "window_ops" }, { "id": 4900, "name": "mlforecast" }, { "id": 4901, "name": "statsforecast" }, { "id": 5620, "name": "openTSNE" }, { "id": 5621, "name": "streamlit_super_slider" } ], "last_checked_revision": "942912817baecb124050ae7b8b288ec77098e0b6\n" }, { "id": 517, "url": "https://github.com/alibaba-damo-academy/FunASR", "description": "A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models.", "stars": 2057, "source_graph_repo_id": 59688178, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 49, "name": "grpc" }, { "id": 80, "name": "tensorflow" }, { "id": 85, "name": "tritonclient" }, { "id": 89, "name": "triton_python_backend_utils" }, { "id": 111, "name": "einops" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 177, "name": "h5py" }, { "id": 180, "name": "apex" }, { "id": 182, "name": "wandb" }, { "id": 227, "name": "websocket" }, { "id": 292, "name": "flask" }, { "id": 418, "name": "joblib" }, { "id": 439, "name": "torchaudio" }, { "id": 452, "name": "onnxruntime" }, { "id": 456, "name": "fairscale" }, { "id": 468, "name": "onnx" }, { "id": 479, "name": "regex" }, { "id": 519, "name": "sentencepiece" }, { "id": 574, "name": "websockets" }, { "id": 605, "name": "mpi4py" }, { "id": 648, "name": "pyaudio" }, { "id": 679, "name": "pypinyin" }, { "id": 698, "name": "pydub" }, { "id": 723, "name": "editdistance" }, { "id": 754, "name": "librosa" }, { "id": 1083, "name": "aiofiles" }, { "id": 1311, "name": "umap" }, { "id": 1382, "name": "ffmpeg" }, { "id": 1715, "name": "wheel" }, { "id": 1807, "name": "espnet" }, { "id": 1809, "name": "kaldiio" }, { "id": 1810, "name": "nara_wpe" }, { "id": 1817, "name": "inflect" }, { "id": 1833, "name": "textgrid" }, { "id": 1835, "name": "soundfile" }, { "id": 1838, "name": "resampy" }, { "id": 2479, "name": "phonemizer" }, { "id": 2743, "name": "jaconv" }, { "id": 3016, "name": "torch_optimizer" }, { "id": 3076, "name": "oss2" }, { "id": 3173, "name": "pyopenjtalk" }, { "id": 3399, "name": "modelscope" }, { "id": 3541, "name": "zhconv" }, { "id": 3663, "name": "torch_complex" }, { "id": 3850, "name": "nemo" }, { "id": 4422, "name": "humanfriendly" }, { "id": 4504, "name": "kaldifeat" }, { "id": 4505, "name": "icefall" }, { "id": 4506, "name": "warp_rnnt" }, { "id": 4507, "name": "torch_quant" }, { "id": 4508, "name": "pynini" }, { "id": 4509, "name": "tacotron_cleaner" }, { "id": 4510, "name": "jamo" }, { "id": 4511, "name": "lhotse" }, { "id": 4512, "name": "paraformer_pb2_grpc" }, { "id": 4513, "name": "rotary_embedding_torch" }, { "id": 4514, "name": "_kaldifeat" }, { "id": 4515, "name": "paraformer_pb2" }, { "id": 4516, "name": "g2pk" }, { "id": 4517, "name": "num2words" }, { "id": 4518, "name": "edit_distance" }, { "id": 4519, "name": "pb_chime5" }, { "id": 4520, "name": "fast_rnnt" }, { "id": 4521, "name": "kaldi_native_fbank" }, { "id": 4522, "name": "pb_bss" }, { "id": 4523, "name": "warpctc_pytorch" }, { "id": 4524, "name": "vietnamese_cleaner" }, { "id": 4525, "name": "pytorch_wpe" }, { "id": 4588, "name": "hdbscan" } ], "last_checked_revision": "68ea8815716066dd988c641893a502e5f5f23d9a\n" }, { "id": 518, "url": "https://github.com/hhstore/annotated-py-projects", "description": "fastapi/flask/sanic/asyncio/bottle/webpy \u7b49\u6e90\u7801\u6ce8\u89e3\u5408\u96c6", "stars": 695, "source_graph_repo_id": 1294517, "dependencies": [ { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 21, "name": "ujson" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 122, "name": "psutil" }, { "id": 196, "name": "asyncpg" }, { "id": 335, "name": "_typeshed" }, { "id": 399, "name": "orjson" }, { "id": 496, "name": "httptools" }, { "id": 538, "name": "pydantic_settings" }, { "id": 539, "name": "pydantic_core" }, { "id": 541, "name": "strawberry" }, { "id": 542, "name": "multipart" }, { "id": 543, "name": "peewee" }, { "id": 544, "name": "email_validator" }, { "id": 545, "name": "couchbase" }, { "id": 547, "name": "databases" }, { "id": 548, "name": "markupsafe" }, { "id": 549, "name": "dirty_equals" }, { "id": 886, "name": "werkzeug" }, { "id": 909, "name": "tornado" }, { "id": 926, "name": "falcon" }, { "id": 930, "name": "multidict" }, { "id": 946, "name": "pytest_mock" }, { "id": 952, "name": "sniffio" }, { "id": 963, "name": "simplejson" }, { "id": 967, "name": "aiopg" }, { "id": 1083, "name": "aiofiles" }, { "id": 1194, "name": "idna" }, { "id": 1441, "name": "itsdangerous" }, { "id": 1517, "name": "opcode" }, { "id": 1952, "name": "trustme" }, { "id": 2376, "name": "exceptiongroup" }, { "id": 2588, "name": "aiocache" }, { "id": 2935, "name": "trio" }, { "id": 3812, "name": "kyoukai" }, { "id": 3817, "name": "wheezy" }, { "id": 4546, "name": "outcome" }, { "id": 4547, "name": "_overlapped" }, { "id": 4548, "name": "_winapi" }, { "id": 4549, "name": "peewee_async" } ], "last_checked_revision": "e8dadbcdc71e7589dcd1ac43d437f99a7ceb0837\n" }, { "id": 519, "url": "https://github.com/yeyupiaoling/PPASR", "description": "\u57fa\u4e8ePaddlePaddle\u5b9e\u73b0\u7aef\u5230\u7aef\u4e2d\u6587\u8bed\u97f3\u8bc6\u522b\uff0c\u4ece\u5165\u95e8\u5230\u5b9e\u6218\uff0c\u8d85\u7b80\u5355\u7684\u5165\u95e8\u6848\u4f8b\uff0c\u8d85\u5b9e\u7528\u7684\u4f01\u4e1a\u9879\u76ee\u3002\u652f\u6301\u5f53\u524d\u6700\u6d41\u884c\u7684DeepSpeech2\u3001Conformer\u3001Squeezeformer\u6a21\u578b", "stars": 707, "source_graph_repo_id": 43122111, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 452, "name": "onnxruntime" }, { "id": 469, "name": "termcolor" }, { "id": 574, "name": "websockets" }, { "id": 648, "name": "pyaudio" }, { "id": 662, "name": "paddleslim" }, { "id": 670, "name": "visualdl" }, { "id": 682, "name": "cn2an" }, { "id": 698, "name": "pydub" }, { "id": 713, "name": "paddle" }, { "id": 1083, "name": "aiofiles" }, { "id": 1142, "name": "typeguard" }, { "id": 1655, "name": "ijson" }, { "id": 1815, "name": "paddleaudio" }, { "id": 1830, "name": "paddlenlp" }, { "id": 1831, "name": "paddlespeech_ctcdecoders" }, { "id": 1835, "name": "soundfile" }, { "id": 1838, "name": "resampy" }, { "id": 2418, "name": "av" }, { "id": 2473, "name": "Levenshtein" }, { "id": 3541, "name": "zhconv" }, { "id": 3837, "name": "paddlespeech" }, { "id": 4600, "name": "parakeet" }, { "id": 4601, "name": "soundcard" }, { "id": 4602, "name": "itn" } ], "last_checked_revision": "8860247084ad9cae7b4586de0cff33a7050fedde\n" }, { "id": 520, "url": "https://github.com/dataelement/bisheng", "description": "Bisheng is an open LLM devops platform for next generation AI applications.", "stars": 3304, "source_graph_repo_id": 61638771, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 43, "name": "pinecone" }, { "id": 47, "name": "tenacity" }, { "id": 48, "name": "supabase" }, { "id": 50, "name": "tiktoken" }, { "id": 51, "name": "qdrant_client" }, { "id": 54, "name": "loguru" }, { "id": 58, "name": "pymilvus" }, { "id": 59, "name": "elasticsearch" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 149, "name": "jieba" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 219, "name": "fastapi_jwt_auth" }, { "id": 224, "name": "google" }, { "id": 227, "name": "websocket" }, { "id": 236, "name": "sqlmodel" }, { "id": 259, "name": "asgiref" }, { "id": 264, "name": "sseclient" }, { "id": 399, "name": "orjson" }, { "id": 471, "name": "shapely" }, { "id": 597, "name": "docstring_parser" }, { "id": 611, "name": "fitz" }, { "id": 660, "name": "colorlog" }, { "id": 673, "name": "multiprocess" }, { "id": 679, "name": "pypinyin" }, { "id": 1068, "name": "docx" }, { "id": 1112, "name": "filetype" }, { "id": 1131, "name": "minio" }, { "id": 1140, "name": "gunicorn" }, { "id": 1620, "name": "pypdfium2" }, { "id": 2531, "name": "appdirs" }, { "id": 4536, "name": "bisheng" }, { "id": 4537, "name": "bisheng_langchain" }, { "id": 4818, "name": "autogen" }, { "id": 5628, "name": "retrieval_chain" }, { "id": 5702, "name": "doc_treev1" }, { "id": 5703, "name": "llmchain" }, { "id": 5704, "name": "type3" }, { "id": 5705, "name": "multi_router" }, { "id": 5706, "name": "rule_router" }, { "id": 5707, "name": "fin_qa" } ], "last_checked_revision": "8e2858265d738bc9f945d872a156611158bd69a7\n" }, { "id": 521, "url": "https://github.com/ray-project/llm-applications", "description": "A comprehensive guide to building RAG-based LLM applications for production.", "stars": 1168, "source_graph_repo_id": 61528642, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 55, "name": "pgvector" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 260, "name": "IPython" }, { "id": 609, "name": "rank_bm25" }, { "id": 1493, "name": "psycopg" }, { "id": 1560, "name": "nbformat" }, { "id": 1683, "name": "structlog" }, { "id": 2548, "name": "slack_bolt" } ], "last_checked_revision": "4211d40c3a14c8dceb9a55b1283984f48490ccb0\n" }, { "id": 522, "url": "https://github.com/codeacme17/examor", "description": "For students, scholars, interviewees and lifelong learners. Let LLMs assist you in learning \ud83c\udf93", "stars": 979, "source_graph_repo_id": 61436374, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 68, "name": "sqlalchemy" }, { "id": 91, "name": "mysql" }, { "id": 184, "name": "utils" }, { "id": 206, "name": "langchain" }, { "id": 2693, "name": "loaders" }, { "id": 4533, "name": "llm_services" }, { "id": 4534, "name": "prompts" }, { "id": 4535, "name": "db_services" } ], "last_checked_revision": "0e926ce7a7fd5f18d59317a0c6352cd94f05b1ec\n" }, { "id": 523, "url": "https://github.com/weaviate/Verba", "description": "Retrieval Augmented Generation (RAG) chatbot powered by Weaviate", "stars": 1504, "source_graph_repo_id": 61495397, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 50, "name": "tiktoken" }, { "id": 53, "name": "PyPDF2" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 255, "name": "spacy" }, { "id": 903, "name": "cohere" }, { "id": 2498, "name": "wasabi" } ], "last_checked_revision": "1c9d4b49385315883ba0027ac1772a8b448f6204\n" }, { "id": 524, "url": "https://github.com/aiwaves-cn/agents", "description": "An Open-source Framework for Autonomous Language Agents", "stars": 4155, "source_graph_repo_id": 61659522, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 82, "name": "PIL" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 225, "name": "google_auth_oauthlib" }, { "id": 226, "name": "googleapiclient" }, { "id": 246, "name": "sentence_transformers" }, { "id": 410, "name": "selenium" }, { "id": 899, "name": "text2vec" }, { "id": 1088, "name": "replicate" }, { "id": 3941, "name": "serpapi" }, { "id": 4255, "name": "litellm" }, { "id": 4491, "name": "PROMPT" }, { "id": 4492, "name": "gradio_base" }, { "id": 4493, "name": "myutils" }, { "id": 4494, "name": "myagent" }, { "id": 4495, "name": "cmd_outline" }, { "id": 4496, "name": "LLM" }, { "id": 4497, "name": "agents" }, { "id": 4498, "name": "Component" }, { "id": 4499, "name": "Action" }, { "id": 4500, "name": "gradio_config" }, { "id": 4501, "name": "Prompt" }, { "id": 4502, "name": "Memory" }, { "id": 4607, "name": "SOP" }, { "id": 4608, "name": "Agent" }, { "id": 4609, "name": "Environment" } ], "last_checked_revision": "350246d926c41728610fba73b7703c9d65b20567\n" }, { "id": 525, "url": "https://github.com/llmOS/opencopilot", "description": "\ud83d\udd4a\ufe0f Build and embed open-source AI Copilots into your product with ease", "stars": 466, "source_graph_repo_id": 61536369, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 77, "name": "dotenv" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 161, "name": "matplotlib" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 251, "name": "playwright" }, { "id": 421, "name": "dataclasses_json" }, { "id": 689, "name": "src" }, { "id": 896, "name": "llama_cpp" }, { "id": 1004, "name": "colorama" }, { "id": 1061, "name": "jwt" }, { "id": 1112, "name": "filetype" }, { "id": 1216, "name": "settings" }, { "id": 1316, "name": "xxhash" }, { "id": 2719, "name": "segment" }, { "id": 4072, "name": "trafilatura" } ], "last_checked_revision": "80a0a32e215849105d79e1d7210e27a9f178ddc0\n" }, { "id": 526, "url": "https://github.com/boyueluzhipeng/GPT_CodeInterpreter", "description": "Ultimate and FREE OpenAI Provider implemented with Python code interpreter & other multiple functions, powered by ChatGPT & GPT-4!", "stars": 558, "source_graph_repo_id": 61353321, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 49, "name": "grpc" }, { "id": 50, "name": "tiktoken" }, { "id": 82, "name": "PIL" }, { "id": 91, "name": "mysql" }, { "id": 96, "name": "rich" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 429, "name": "wget" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 573, "name": "inquirer" }, { "id": 574, "name": "websockets" }, { "id": 896, "name": "llama_cpp" }, { "id": 1026, "name": "jupyter_client" }, { "id": 1574, "name": "astor" }, { "id": 2531, "name": "appdirs" }, { "id": 3994, "name": "zep_python" }, { "id": 4236, "name": "chainlit" }, { "id": 4255, "name": "litellm" }, { "id": 4530, "name": "helloworld_pb2_grpc" }, { "id": 4531, "name": "tokentrim" }, { "id": 4532, "name": "helloworld_pb2" } ], "last_checked_revision": "6ea24812b7fdbb321bb059f673baf8c8bfe9dace\n" }, { "id": 527, "url": "https://github.com/yeyupiaoling/MASR", "description": "Pytorch\u5b9e\u73b0\u7684\u6d41\u5f0f\u4e0e\u975e\u6d41\u5f0f\u7684\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\u6846\u67b6\uff0c\u540c\u65f6\u517c\u5bb9\u5728\u7ebf\u548c\u79bb\u7ebf\u8bc6\u522b\uff0c\u76ee\u524d\u652f\u6301Conformer\u3001Squeezeformer\u3001DeepSpeech2\u6a21\u578b\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u589e\u5f3a\u65b9\u6cd5\u3002", "stars": 431, "source_graph_repo_id": 41685613, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 439, "name": "torchaudio" }, { "id": 452, "name": "onnxruntime" }, { "id": 469, "name": "termcolor" }, { "id": 574, "name": "websockets" }, { "id": 648, "name": "pyaudio" }, { "id": 670, "name": "visualdl" }, { "id": 682, "name": "cn2an" }, { "id": 698, "name": "pydub" }, { "id": 713, "name": "paddle" }, { "id": 1083, "name": "aiofiles" }, { "id": 1142, "name": "typeguard" }, { "id": 1655, "name": "ijson" }, { "id": 1830, "name": "paddlenlp" }, { "id": 1831, "name": "paddlespeech_ctcdecoders" }, { "id": 1835, "name": "soundfile" }, { "id": 1838, "name": "resampy" }, { "id": 2418, "name": "av" }, { "id": 2473, "name": "Levenshtein" }, { "id": 3541, "name": "zhconv" }, { "id": 3837, "name": "paddlespeech" }, { "id": 4600, "name": "parakeet" }, { "id": 4601, "name": "soundcard" }, { "id": 4602, "name": "itn" } ], "last_checked_revision": "17c990ecc385f8a60377353a5d44695e1318072e\n" }, { "id": 528, "url": "https://github.com/plastic-labs/tutor-gpt", "description": "LangChain LLM application. Dynamic metaprompting for theory-of-mind-powered tutoring. ", "stars": 610, "source_graph_repo_id": 61102226, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 48, "name": "supabase" }, { "id": 74, "name": "sentry_sdk" }, { "id": 77, "name": "dotenv" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 266, "name": "discord" }, { "id": 583, "name": "__main__" } ], "last_checked_revision": "cb489b577a829c540cd277c039bc4bb068077188\n" }, { "id": 529, "url": "https://github.com/vllm-project/vllm", "description": "A high-throughput and memory-efficient inference and serving engine for LLMs", "stars": 12498, "source_graph_repo_id": 61215036, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 137, "name": "transformer_engine" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 442, "name": "filelock" }, { "id": 519, "name": "sentencepiece" }, { "id": 1380, "name": "fastchat" }, { "id": 3399, "name": "modelscope" }, { "id": 5191, "name": "mii" }, { "id": 5320, "name": "aioprometheus" }, { "id": 5574, "name": "stk" }, { "id": 5575, "name": "megablocks" } ], "last_checked_revision": "4934d492744d14104353b8236ef8a0405edf1622\n" }, { "id": 530, "url": "https://github.com/hyperdxio/hyperdx", "description": "Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors.", "stars": 5403, "source_graph_repo_id": 61672308, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 38, "name": "pydantic" }, { "id": 4623, "name": "hyperdx" }, { "id": 4624, "name": "drain3" } ], "last_checked_revision": "3b8effea7d6944a1f5ebbe27d6164113b2cfd37d\n" }, { "id": 531, "url": "https://github.com/grafana/beyla", "description": "eBPF-based autoinstrumentation of HTTP and HTTPS services", "stars": 909, "source_graph_repo_id": 60717479, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 76, "name": "click" }, { "id": 292, "name": "flask" }, { "id": 1107, "name": "msgpack" }, { "id": 1834, "name": "cbor" }, { "id": 4621, "name": "msgpackrpc" } ], "last_checked_revision": "610ccd12e564a46a392cc7e64d0001b92c9576a6\n" }, { "id": 532, "url": "https://github.com/pyscript/pyscript", "description": "Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2", "stars": 17235, "source_graph_repo_id": 57851460, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 28, "name": "_pytest" }, { "id": 37, "name": "httpx" }, { "id": 82, "name": "PIL" }, { "id": 161, "name": "matplotlib" }, { "id": 251, "name": "playwright" }, { "id": 292, "name": "flask" }, { "id": 322, "name": "py" }, { "id": 583, "name": "__main__" }, { "id": 690, "name": "markdown" }, { "id": 936, "name": "toml" }, { "id": 2020, "name": "js" }, { "id": 2033, "name": "pyodide" }, { "id": 2936, "name": "toga" }, { "id": 4647, "name": "py_markdown" }, { "id": 4648, "name": "toga_flask" }, { "id": 4649, "name": "polyscript" }, { "id": 4650, "name": "_pyscript" }, { "id": 4651, "name": "freedom" }, { "id": 4652, "name": "pyscript" }, { "id": 4653, "name": "arrr" }, { "id": 4654, "name": "micrograd" }, { "id": 4655, "name": "_pyscript_js" }, { "id": 4656, "name": "py_tutor" }, { "id": 4657, "name": "pyweb" } ], "last_checked_revision": "6eca06ac0ba8ad8173c3e58aa1c3ad7e977e5d50\n" }, { "id": 533, "url": "https://github.com/teamhanko/hanko", "description": "Auth and user management for the passkey era", "stars": 4938, "source_graph_repo_id": 57592745, "dependencies": [], "last_checked_revision": null }, { "id": 534, "url": "https://github.com/aigc-apps/sd-webui-EasyPhoto", "description": "\ud83d\udcf7 EasyPhoto | Your Smart AI Photo Generator.", "stars": 3880, "source_graph_repo_id": 61602018, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 71, "name": "cv2" }, { "id": 78, "name": "imageio" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 107, "name": "ldm" }, { "id": 109, "name": "extra_networks_lora" }, { "id": 111, "name": "einops" }, { "id": 112, "name": "networks" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 117, "name": "network" }, { "id": 118, "name": "gradio" }, { "id": 120, "name": "sgm" }, { "id": 123, "name": "piexif" }, { "id": 127, "name": "tqdm" }, { "id": 128, "name": "k_diffusion" }, { "id": 129, "name": "skimage" }, { "id": 130, "name": "safetensors" }, { "id": 140, "name": "scipy" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 180, "name": "apex" }, { "id": 182, "name": "wandb" }, { "id": 189, "name": "accelerate" }, { "id": 223, "name": "botocore" }, { "id": 355, "name": "importlib_metadata" }, { "id": 457, "name": "launch" }, { "id": 471, "name": "shapely" }, { "id": 476, "name": "modules" }, { "id": 846, "name": "segment_anything" }, { "id": 2418, "name": "av" }, { "id": 3399, "name": "modelscope" }, { "id": 3912, "name": "film_interpolation" }, { "id": 3923, "name": "deforum_helpers" }, { "id": 4675, "name": "nvitop" }, { "id": 5118, "name": "exiftool" }, { "id": 5119, "name": "pygifsicle" }, { "id": 5291, "name": "face_process_utils" } ], "last_checked_revision": "431716a80b6f87395dd60861db9476761fcfbc1f\n" }, { "id": 535, "url": "https://github.com/roboflow/inference", "description": "A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.", "stars": 691, "source_graph_repo_id": 61524565, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 66, "name": "celery" }, { "id": 71, "name": "cv2" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 94, "name": "clip" }, { "id": 96, "name": "rich" }, { "id": 129, "name": "skimage" }, { "id": 161, "name": "matplotlib" }, { "id": 223, "name": "botocore" }, { "id": 235, "name": "prometheus_fastapi_instrumentator" }, { "id": 290, "name": "requests_mock" }, { "id": 292, "name": "flask" }, { "id": 399, "name": "orjson" }, { "id": 414, "name": "GPUtil" }, { "id": 421, "name": "dataclasses_json" }, { "id": 443, "name": "mediapipe" }, { "id": 452, "name": "onnxruntime" }, { "id": 471, "name": "shapely" }, { "id": 615, "name": "faiss" }, { "id": 719, "name": "_io" }, { "id": 948, "name": "apscheduler" }, { "id": 1130, "name": "mangum" }, { "id": 1432, "name": "requests_toolbelt" }, { "id": 1453, "name": "supervision" }, { "id": 1454, "name": "groundingdino" }, { "id": 1581, "name": "pymemcache" }, { "id": 2676, "name": "rasterio" }, { "id": 4325, "name": "doctr" }, { "id": 4422, "name": "humanfriendly" }, { "id": 4658, "name": "metlo" }, { "id": 4659, "name": "pybase64" }, { "id": 4660, "name": "elasticache_auto_discovery" }, { "id": 4661, "name": "fastapi_cprofile" } ], "last_checked_revision": "dfec32274e82c99ca74fce696538ad1522c1f187\n" }, { "id": 536, "url": "https://github.com/zhudotexe/kani", "description": "kani (\u30ab\u30cb) is a highly hackable microframework for chat-based language models with tool usage/function calling.", "stars": 483, "source_graph_repo_id": 61396497, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 15, "name": "torch" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 161, "name": "matplotlib" }, { "id": 189, "name": "accelerate" }, { "id": 519, "name": "sentencepiece" }, { "id": 556, "name": "anthropic" }, { "id": 901, "name": "hypothesis" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 3781, "name": "ctransformers" }, { "id": 4663, "name": "d20" } ], "last_checked_revision": "7db107d495780a0459376addba796bc3b9144170\n" }, { "id": 537, "url": "https://github.com/pinecone-io/examples", "description": "Jupyter Notebooks to help you get hands-on with Pinecone vector databases", "stars": 2111, "source_graph_repo_id": 54629859, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 43, "name": "pinecone" }, { "id": 76, "name": "click" }, { "id": 84, "name": "torchvision" }, { "id": 127, "name": "tqdm" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 186, "name": "seaborn" }, { "id": 206, "name": "langchain" }, { "id": 246, "name": "sentence_transformers" }, { "id": 260, "name": "IPython" }, { "id": 436, "name": "mpl_toolkits" }, { "id": 808, "name": "ipywidgets" }, { "id": 3085, "name": "haystack" }, { "id": 4715, "name": "st_card_component" } ], "last_checked_revision": "45d0885c87e5756263f08e8e5b0adee63d6923fc\n" }, { "id": 538, "url": "https://github.com/CLUEbenchmark/SuperCLUE", "description": "SuperCLUE: \u4e2d\u6587\u901a\u7528\u5927\u6a21\u578b\u7efc\u5408\u6027\u57fa\u51c6 | A Benchmark for Foundation Models in Chinese", "stars": 2202, "source_graph_repo_id": 60958709, "dependencies": [], "last_checked_revision": null }, { "id": 539, "url": "https://github.com/BerriAI/litellm", "description": "Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)", "stars": 4108, "source_graph_repo_id": 61413967, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 46, "name": "azure" }, { "id": 47, "name": "tenacity" }, { "id": 48, "name": "supabase" }, { "id": 50, "name": "tiktoken" }, { "id": 56, "name": "redis" }, { "id": 66, "name": "celery" }, { "id": 73, "name": "jinja2" }, { "id": 74, "name": "sentry_sdk" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 87, "name": "tokenizers" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 156, "name": "tabulate" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 202, "name": "resend" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 292, "name": "flask" }, { "id": 355, "name": "importlib_metadata" }, { "id": 399, "name": "orjson" }, { "id": 469, "name": "termcolor" }, { "id": 531, "name": "opentelemetry" }, { "id": 554, "name": "vertexai" }, { "id": 556, "name": "anthropic" }, { "id": 587, "name": "flask_cors" }, { "id": 595, "name": "backoff" }, { "id": 632, "name": "posthog" }, { "id": 866, "name": "util" }, { "id": 932, "name": "tomli" }, { "id": 1008, "name": "waitress" }, { "id": 1019, "name": "async_generator" }, { "id": 1069, "name": "gptcache" }, { "id": 1130, "name": "mangum" }, { "id": 1446, "name": "tomli_w" }, { "id": 1540, "name": "rq" }, { "id": 2531, "name": "appdirs" }, { "id": 2548, "name": "slack_bolt" }, { "id": 3186, "name": "prisma" }, { "id": 4744, "name": "numpydoc" }, { "id": 4902, "name": "openai_proxy" }, { "id": 5192, "name": "autoevals" }, { "id": 5251, "name": "your_prisma_module" }, { "id": 5562, "name": "traceloop" } ], "last_checked_revision": "ff4eb5a5d48d32d4abddd6427f9f610c7ce64c2d\n" }, { "id": 540, "url": "https://github.com/ray-project/ray-llm", "description": "RayLLM - LLMs on Ray", "stars": 920, "source_graph_repo_id": 61088656, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 81, "name": "boto3" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 118, "name": "gradio" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 224, "name": "google" }, { "id": 413, "name": "asynctest" }, { "id": 442, "name": "filelock" }, { "id": 531, "name": "opentelemetry" }, { "id": 558, "name": "vllm" }, { "id": 1065, "name": "async_timeout" }, { "id": 2032, "name": "markdown_it" }, { "id": 2035, "name": "mdit_py_plugins" } ], "last_checked_revision": "78e076e2dafbf3212ee11cca7b1e7efc63657bcf\n" }, { "id": 541, "url": "https://github.com/daveshap/ACE_Framework", "description": "ACE (Autonomous Cognitive Entities) - 100% local and open source autonomous agents", "stars": 1220, "source_graph_repo_id": 61682095, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 42, "name": "weaviate" }, { "id": 50, "name": "tiktoken" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 122, "name": "psutil" }, { "id": 183, "name": "openai" }, { "id": 195, "name": "llm" }, { "id": 196, "name": "asyncpg" }, { "id": 266, "name": "discord" }, { "id": 292, "name": "flask" }, { "id": 445, "name": "pygments" }, { "id": 538, "name": "pydantic_settings" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 574, "name": "websockets" }, { "id": 587, "name": "flask_cors" }, { "id": 778, "name": "docker" }, { "id": 866, "name": "util" }, { "id": 948, "name": "apscheduler" }, { "id": 1216, "name": "settings" }, { "id": 1528, "name": "channels" }, { "id": 1558, "name": "pika" }, { "id": 1580, "name": "aio_pika" }, { "id": 1812, "name": "keyboard" }, { "id": 2385, "name": "database" }, { "id": 2927, "name": "kivy" }, { "id": 3941, "name": "serpapi" }, { "id": 4638, "name": "base" }, { "id": 4680, "name": "ace" }, { "id": 4681, "name": "agentforge" }, { "id": 4682, "name": "media" }, { "id": 4683, "name": "actions" }, { "id": 4767, "name": "memory" }, { "id": 4768, "name": "halo" } ], "last_checked_revision": "c933604ae53055e1f4dd4f399207e9cdd35868d7\n" }, { "id": 542, "url": "https://github.com/opentensor/bittensor", "description": "Internet-scale Neural Networks", "stars": 457, "source_graph_repo_id": 42835350, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 24, "name": "netaddr" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 96, "name": "rich" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 215, "name": "cryptography" }, { "id": 229, "name": "retry" }, { "id": 469, "name": "termcolor" }, { "id": 595, "name": "backoff" }, { "id": 643, "name": "Crypto" }, { "id": 901, "name": "hypothesis" }, { "id": 1107, "name": "msgpack" }, { "id": 1361, "name": "nacl" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 1970, "name": "msgpack_numpy" }, { "id": 2487, "name": "munch" }, { "id": 3904, "name": "password_strength" }, { "id": 4707, "name": "cubit" }, { "id": 4708, "name": "scalecodec" }, { "id": 4709, "name": "substrateinterface" }, { "id": 4710, "name": "ansible" }, { "id": 4711, "name": "bip39" }, { "id": 4712, "name": "ansible_vault" }, { "id": 4713, "name": "ddt" }, { "id": 5670, "name": "shtab" } ], "last_checked_revision": "3f163b27577deda6941c70c1cca075e55f32920e\n" }, { "id": 543, "url": "https://github.com/rapid7/metasploit-framework", "description": "Metasploit Framework", "stars": 31979, "source_graph_repo_id": 69744, "dependencies": [ { "id": 9, "name": "typing_extensions" }, { "id": 19, "name": "requests" }, { "id": 135, "name": "pkg_resources" }, { "id": 215, "name": "cryptography" }, { "id": 341, "name": "paramiko" }, { "id": 1065, "name": "async_timeout" }, { "id": 2560, "name": "pyasn1" }, { "id": 3277, "name": "lief" }, { "id": 3970, "name": "rpyc" }, { "id": 4393, "name": "pefile" }, { "id": 4733, "name": "teradata" }, { "id": 4734, "name": "splunk" }, { "id": 4735, "name": "gmpy2" }, { "id": 4736, "name": "impacket" }, { "id": 4737, "name": "metasploit" }, { "id": 4738, "name": "killerbee" } ], "last_checked_revision": "2390058b375decd201edcbcd6b33db24f599a16f\n" }, { "id": 544, "url": "https://github.com/KillianLucas/open-interpreter", "description": "OpenAI's Code Interpreter in your terminal, running locally", "stars": 35568, "source_graph_repo_id": 61403391, "dependencies": [ { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 260, "name": "IPython" }, { "id": 573, "name": "inquirer" }, { "id": 612, "name": "pytesseract" }, { "id": 876, "name": "pyperclip" }, { "id": 936, "name": "toml" }, { "id": 1026, "name": "jupyter_client" }, { "id": 1418, "name": "pyautogui" }, { "id": 1723, "name": "plyer" }, { "id": 2128, "name": "yaspin" }, { "id": 2531, "name": "appdirs" }, { "id": 4255, "name": "litellm" }, { "id": 4531, "name": "tokentrim" }, { "id": 4750, "name": "ooba" }, { "id": 5073, "name": "html2image" }, { "id": 5333, "name": "languagetools" } ], "last_checked_revision": "6e164b9a7d7405cdf5ad5d871a3f959ad41f0b08\n" }, { "id": 545, "url": "https://github.com/miguelgrinberg/python-socketio", "description": "Python Socket.IO server and client", "stars": 3625, "source_graph_repo_id": 72416, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 56, "name": "redis" }, { "id": 147, "name": "sanic" }, { "id": 292, "name": "flask" }, { "id": 319, "name": "kombu" }, { "id": 348, "name": "django" }, { "id": 408, "name": "socketio" }, { "id": 885, "name": "eventlet" }, { "id": 909, "name": "tornado" }, { "id": 957, "name": "aioredis" }, { "id": 1057, "name": "kafka" }, { "id": 1107, "name": "msgpack" }, { "id": 1463, "name": "gevent" }, { "id": 1580, "name": "aio_pika" }, { "id": 1985, "name": "litestar" }, { "id": 2429, "name": "geventwebsocket" }, { "id": 2698, "name": "bidict" }, { "id": 4783, "name": "engineio" }, { "id": 4784, "name": "socketio_app" } ], "last_checked_revision": "6967eca5507abad23a1311594228168029455dd8\n" }, { "id": 546, "url": "https://github.com/InternLM/lmdeploy", "description": "LMDeploy is a toolkit for compressing, deploying, and serving LLMs.", "stars": 1630, "source_graph_repo_id": 61304974, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 85, "name": "tritonclient" }, { "id": 89, "name": "triton_python_backend_utils" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 142, "name": "pynvml" }, { "id": 145, "name": "fire" }, { "id": 154, "name": "datasets" }, { "id": 157, "name": "triton" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 224, "name": "google" }, { "id": 351, "name": "sphinx" }, { "id": 481, "name": "addict" }, { "id": 516, "name": "shortuuid" }, { "id": 519, "name": "sentencepiece" }, { "id": 551, "name": "deepspeed" }, { "id": 1347, "name": "recommonmark" }, { "id": 2415, "name": "pycuda" }, { "id": 3494, "name": "mmengine" }, { "id": 4383, "name": "pytorch_sphinx_theme" }, { "id": 4748, "name": "m2r" }, { "id": 4749, "name": "_turbomind" }, { "id": 4972, "name": "awq_inference_engine" }, { "id": 5708, "name": "allure" } ], "last_checked_revision": "e7eedc0384a5bf4201d75f7b00f85c2bc60f5a3f\n" }, { "id": 547, "url": "https://github.com/THUDM/AgentBench", "description": "A Comprehensive Benchmark to Evaluate LLMs as Agents", "stars": 1486, "source_graph_repo_id": 61474580, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 80, "name": "tensorflow" }, { "id": 91, "name": "mysql" }, { "id": 96, "name": "rich" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 154, "name": "datasets" }, { "id": 182, "name": "wandb" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 218, "name": "lxml" }, { "id": 255, "name": "spacy" }, { "id": 290, "name": "requests_mock" }, { "id": 292, "name": "flask" }, { "id": 410, "name": "selenium" }, { "id": 430, "name": "urllib3" }, { "id": 481, "name": "addict" }, { "id": 521, "name": "jsonlines" }, { "id": 556, "name": "anthropic" }, { "id": 562, "name": "gym" }, { "id": 574, "name": "websockets" }, { "id": 609, "name": "rank_bm25" }, { "id": 620, "name": "networkx" }, { "id": 778, "name": "docker" }, { "id": 1380, "name": "fastchat" }, { "id": 2787, "name": "pyserini" }, { "id": 3090, "name": "thefuzz" }, { "id": 4758, "name": "AI_Cn" }, { "id": 4759, "name": "cleantext" }, { "id": 4760, "name": "train_search" }, { "id": 4761, "name": "web_agent_site" }, { "id": 4762, "name": "alfworld" }, { "id": 4763, "name": "textworld" }, { "id": 4764, "name": "transfer" }, { "id": 4765, "name": "SPARQLWrapper" } ], "last_checked_revision": "5137cab6fecdc8a09ffabac755882a8ff9987152\n" }, { "id": 548, "url": "https://github.com/netkiller/netkiller.github.io", "description": "Netkiller Free ebook - \u514d\u8d39\u7535\u5b50\u4e66", "stars": 1177, "source_graph_repo_id": 150286, "dependencies": [], "last_checked_revision": null }, { "id": 549, "url": "https://github.com/imartinez/privateGPT", "description": "Interact with your documents using the power of GPT, 100% privately, no data leaks", "stars": 45751, "source_graph_repo_id": 60923074, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 54, "name": "loguru" }, { "id": 57, "name": "llama_index" }, { "id": 81, "name": "boto3" }, { "id": 409, "name": "watchdog" }, { "id": 4796, "name": "injector" } ], "last_checked_revision": "0a89d76cc5ed4371ffe8068858f23dfbb5e8cc37\n" }, { "id": 550, "url": "https://github.com/OpenBMB/XAgent", "description": "An Autonomous LLM Agent for Complex Task Solving", "stars": 6478, "source_graph_repo_id": 61842276, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 43, "name": "pinecone" }, { "id": 47, "name": "tenacity" }, { "id": 50, "name": "tiktoken" }, { "id": 56, "name": "redis" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 77, "name": "dotenv" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 154, "name": "datasets" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 212, "name": "duckduckgo_search" }, { "id": 214, "name": "json5" }, { "id": 380, "name": "core" }, { "id": 399, "name": "orjson" }, { "id": 481, "name": "addict" }, { "id": 558, "name": "vllm" }, { "id": 597, "name": "docstring_parser" }, { "id": 772, "name": "config" }, { "id": 778, "name": "docker" }, { "id": 802, "name": "xmltodict" }, { "id": 948, "name": "apscheduler" }, { "id": 974, "name": "cachetools" }, { "id": 1004, "name": "colorama" }, { "id": 1007, "name": "motor" }, { "id": 1028, "name": "ruamel" }, { "id": 1071, "name": "markdown2" }, { "id": 1403, "name": "beanie" }, { "id": 3790, "name": "yagmail" }, { "id": 4816, "name": "inputimeout" }, { "id": 5243, "name": "interegular" }, { "id": 5244, "name": "outlines" }, { "id": 5245, "name": "xgen" } ], "last_checked_revision": "95893d560e6edfd29527cf4a0babbd7ad4cb9f23\n" }, { "id": 551, "url": "https://github.com/shibing624/MedicalGPT", "description": "MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. \u8bad\u7ec3\u533b\u7597\u5927\u6a21\u578b\uff0c\u5b9e\u73b0\u4e86\u5305\u62ec\u589e\u91cf\u9884\u8bad\u7ec3\u3001\u6709\u76d1\u7763\u5fae\u8c03\u3001RLHF(\u5956\u52b1\u5efa\u6a21\u3001\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3)\u548cDPO(\u76f4\u63a5\u504f\u597d\u4f18\u5316)\u3002", "stars": 2034, "source_graph_repo_id": 61105702, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 178, "name": "peft" }, { "id": 188, "name": "flash_attn" }, { "id": 519, "name": "sentencepiece" }, { "id": 3070, "name": "trl" } ], "last_checked_revision": "423d1b186871fc09bdad98623bcf686cb79a278c\n" }, { "id": 552, "url": "https://github.com/joernio/joern", "description": "Open-source code analysis platform for C/C++/Java/Binary/Javascript/Python/Kotlin based on code property graphs. Discord https://discord.gg/vv4MH284Hc", "stars": 1647, "source_graph_repo_id": 39978736, "dependencies": [], "last_checked_revision": null }, { "id": 553, "url": "https://github.com/OneUptime/oneuptime", "description": "OneUptime is the complete open-source observability platform.", "stars": 1565, "source_graph_repo_id": 57981345, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 15, "name": "torch" }, { "id": 38, "name": "pydantic" } ], "last_checked_revision": "60955038550dc239e0df55bebea9a025e40bc8d3\n" }, { "id": 554, "url": "https://github.com/AI-Citizen/SolidGPT", "description": "Chat everything with your code repository, ask repository level code questions, and discuss your requirements. AI Scan and learning your code repository, provide you code repository level answer\ud83e\uddf1 \ud83e\uddf1", "stars": 1785, "source_graph_repo_id": 61619458, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 50, "name": "tiktoken" }, { "id": 51, "name": "qdrant_client" }, { "id": 56, "name": "redis" }, { "id": 66, "name": "celery" }, { "id": 154, "name": "datasets" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 3070, "name": "trl" }, { "id": 3712, "name": "text_generation" }, { "id": 4797, "name": "notional" }, { "id": 4798, "name": "notion2md" }, { "id": 4799, "name": "llamamanager" }, { "id": 4818, "name": "autogen" } ], "last_checked_revision": "2fb7c1ef341a92f8ef533c14f29574045cb07f82\n" }, { "id": 555, "url": "https://github.com/QIN2DIM/hcaptcha-challenger", "description": "\ud83e\udd42 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.", "stars": 1299, "source_graph_repo_id": 57367794, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 54, "name": "loguru" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 140, "name": "scipy" }, { "id": 147, "name": "sanic" }, { "id": 251, "name": "playwright" }, { "id": 355, "name": "importlib_metadata" }, { "id": 410, "name": "selenium" }, { "id": 452, "name": "onnxruntime" }, { "id": 461, "name": "ftfy" }, { "id": 477, "name": "webdriver_manager" }, { "id": 479, "name": "regex" }, { "id": 1640, "name": "github" }, { "id": 4800, "name": "undetected_chromedriver" }, { "id": 4801, "name": "istockphoto" } ], "last_checked_revision": "1e4611f9567255afdac87a5748424d5d6dcbc06a\n" }, { "id": 556, "url": "https://github.com/docker/genai-stack", "description": "Langchain + Docker + Neo4j + Ollama", "stars": 1911, "source_graph_repo_id": 61771784, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 53, "name": "PyPDF2" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 86, "name": "sse_starlette" }, { "id": 206, "name": "langchain" } ], "last_checked_revision": "c2894a8083d500ac06ea8d9ad69345f0c3de6dee\n" }, { "id": 557, "url": "https://github.com/WisdomShell/codeshell", "description": "A series of code large language models developed by PKU-KCL", "stars": 1400, "source_graph_repo_id": 61864533, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 86, "name": "sse_starlette" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 145, "name": "fire" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 165, "name": "evaluate" }, { "id": 178, "name": "peft" }, { "id": 189, "name": "accelerate" }, { "id": 208, "name": "mdtex2html" }, { "id": 521, "name": "jsonlines" }, { "id": 895, "name": "lm_eval" } ], "last_checked_revision": "3c96e3458a6a385e2473002e3fd5fb4870442ca7\n" }, { "id": 558, "url": "https://github.com/MetaGLM/FinGLM", "description": "FinGLM: \u81f4\u529b\u4e8e\u6784\u5efa\u4e00\u4e2a\u5f00\u653e\u7684\u3001\u516c\u76ca\u7684\u3001\u6301\u4e45\u7684\u91d1\u878d\u5927\u6a21\u578b\u9879\u76ee\uff0c\u5229\u7528\u5f00\u6e90\u5f00\u653e\u6765\u4fc3\u8fdb\u300cAI+\u91d1\u878d\u300d\u3002", "stars": 1143, "source_graph_repo_id": 61738392, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 54, "name": "loguru" }, { "id": 59, "name": "elasticsearch" }, { "id": 62, "name": "app" }, { "id": 68, "name": "sqlalchemy" }, { "id": 86, "name": "sse_starlette" }, { "id": 92, "name": "pymongo" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 145, "name": "fire" }, { "id": 149, "name": "jieba" }, { "id": 154, "name": "datasets" }, { "id": 161, "name": "matplotlib" }, { "id": 166, "name": "rouge_chinese" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 189, "name": "accelerate" }, { "id": 206, "name": "langchain" }, { "id": 208, "name": "mdtex2html" }, { "id": 246, "name": "sentence_transformers" }, { "id": 271, "name": "db" }, { "id": 479, "name": "regex" }, { "id": 519, "name": "sentencepiece" }, { "id": 615, "name": "faiss" }, { "id": 673, "name": "multiprocess" }, { "id": 679, "name": "pypinyin" }, { "id": 682, "name": "cn2an" }, { "id": 691, "name": "pdfplumber" }, { "id": 741, "name": "gensim" }, { "id": 772, "name": "config" }, { "id": 899, "name": "text2vec" }, { "id": 1074, "name": "duckdb" }, { "id": 1170, "name": "configs" }, { "id": 1430, "name": "parse" }, { "id": 1451, "name": "langchain_experimental" }, { "id": 1628, "name": "cpm_kernels" }, { "id": 1724, "name": "fuzzywuzzy" }, { "id": 2100, "name": "data_utils" }, { "id": 2453, "name": "preprocess" }, { "id": 2473, "name": "Levenshtein" }, { "id": 2544, "name": "ghostscript" }, { "id": 2617, "name": "whoosh" }, { "id": 3070, "name": "trl" }, { "id": 3399, "name": "modelscope" }, { "id": 3722, "name": "finetune" }, { "id": 4232, "name": "fastllm_pytools" }, { "id": 4371, "name": "camelot" }, { "id": 4451, "name": "zhipuai" }, { "id": 4864, "name": "file" }, { "id": 4865, "name": "chatglm_ptuning" }, { "id": 4866, "name": "query_company" }, { "id": 4867, "name": "check" }, { "id": 4868, "name": "chinese_text_splitter" }, { "id": 4869, "name": "method" }, { "id": 4870, "name": "generate_answer_with_classify" }, { "id": 4871, "name": "pandasql" }, { "id": 4872, "name": "xpinyin" }, { "id": 4873, "name": "embedding_method" }, { "id": 4874, "name": "snownlp" }, { "id": 4875, "name": "camelpipot" }, { "id": 4876, "name": "extract" }, { "id": 4877, "name": "chatglm" }, { "id": 4878, "name": "fastbm25" }, { "id": 4879, "name": "company_table" }, { "id": 5204, "name": "template_manager" }, { "id": 5205, "name": "glmtuner" } ], "last_checked_revision": "701d97fe504a307eeba5083dff2b0886b0e26ec6\n" }, { "id": 559, "url": "https://github.com/Em1tSan/NeuroGPT", "description": "Free ChatGPT 3.5 / ChatGPT 4 | Free OpenAI / ChatGPT API", "stars": 867, "source_graph_repo_id": 61374969, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 53, "name": "PyPDF2" }, { "id": 98, "name": "pytz" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 212, "name": "duckduckgo_search" }, { "id": 246, "name": "sentence_transformers" }, { "id": 255, "name": "spacy" }, { "id": 292, "name": "flask" }, { "id": 410, "name": "selenium" }, { "id": 430, "name": "urllib3" }, { "id": 445, "name": "pygments" }, { "id": 587, "name": "flask_cors" }, { "id": 613, "name": "platformdirs" }, { "id": 643, "name": "Crypto" }, { "id": 679, "name": "pypinyin" }, { "id": 690, "name": "markdown" }, { "id": 691, "name": "pdfplumber" }, { "id": 974, "name": "cachetools" }, { "id": 1004, "name": "colorama" }, { "id": 1008, "name": "waitress" }, { "id": 1042, "name": "browser_cookie3" }, { "id": 1043, "name": "curl_cffi" }, { "id": 1065, "name": "async_timeout" }, { "id": 1083, "name": "aiofiles" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 2409, "name": "gradio_client" }, { "id": 2833, "name": "execjs" }, { "id": 3541, "name": "zhconv" }, { "id": 4276, "name": "g4f" }, { "id": 4800, "name": "undetected_chromedriver" }, { "id": 4802, "name": "ru_core_news_sm" }, { "id": 4803, "name": "fp" }, { "id": 4804, "name": "quickjs" }, { "id": 4805, "name": "langchain_g4f" } ], "last_checked_revision": "5caab6f60b04b6184f998fa17656165077269198\n" }, { "id": 560, "url": "https://github.com/Mrinank-Bhowmick/python-beginner-projects", "description": "Explore a collection of beginner-friendly Python projects that can be completed with minimal code. Perfect for learning the basics and improving your coding skills.", "stars": 682, "source_graph_repo_id": 58575281, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 39, "name": "streamlit" }, { "id": 53, "name": "PyPDF2" }, { "id": 60, "name": "psycopg2" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 91, "name": "mysql" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 129, "name": "skimage" }, { "id": 140, "name": "scipy" }, { "id": 156, "name": "tabulate" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 186, "name": "seaborn" }, { "id": 206, "name": "langchain" }, { "id": 218, "name": "lxml" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 255, "name": "spacy" }, { "id": 266, "name": "discord" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 410, "name": "selenium" }, { "id": 429, "name": "wget" }, { "id": 443, "name": "mediapipe" }, { "id": 445, "name": "pygments" }, { "id": 490, "name": "imutils" }, { "id": 639, "name": "whisper" }, { "id": 692, "name": "wordcloud" }, { "id": 698, "name": "pydub" }, { "id": 796, "name": "pygame" }, { "id": 876, "name": "pyperclip" }, { "id": 886, "name": "werkzeug" }, { "id": 949, "name": "paho" }, { "id": 1004, "name": "colorama" }, { "id": 1059, "name": "decouple" }, { "id": 1074, "name": "duckdb" }, { "id": 1076, "name": "playsound" }, { "id": 1086, "name": "win32api" }, { "id": 1256, "name": "rest_framework" }, { "id": 1259, "name": "Cryptodome" }, { "id": 1346, "name": "PyQt5" }, { "id": 1418, "name": "pyautogui" }, { "id": 1720, "name": "pyzbar" }, { "id": 1733, "name": "translate" }, { "id": 1735, "name": "pynput" }, { "id": 1736, "name": "pytube" }, { "id": 1737, "name": "pyttsx3" }, { "id": 1740, "name": "twilio" }, { "id": 1745, "name": "fpdf" }, { "id": 1748, "name": "speech_recognition" }, { "id": 1750, "name": "gtts" }, { "id": 1751, "name": "pyjokes" }, { "id": 1755, "name": "openpyxl" }, { "id": 1762, "name": "tweepy" }, { "id": 1764, "name": "googletrans" }, { "id": 1766, "name": "win10toast" }, { "id": 1812, "name": "keyboard" }, { "id": 1862, "name": "qrcode" }, { "id": 2267, "name": "captcha" }, { "id": 2790, "name": "yfinance" }, { "id": 2923, "name": "ttkthemes" }, { "id": 2927, "name": "kivy" }, { "id": 2956, "name": "ursina" }, { "id": 3204, "name": "dlib" }, { "id": 3652, "name": "pywebio" }, { "id": 3891, "name": "pyfiglet" }, { "id": 3900, "name": "speedtest" }, { "id": 3901, "name": "wikipedia" }, { "id": 3965, "name": "telebot" }, { "id": 4034, "name": "youtube_search" }, { "id": 4071, "name": "spotipy" }, { "id": 4073, "name": "geopy" }, { "id": 4820, "name": "youtube_dl" }, { "id": 4821, "name": "ta" }, { "id": 4822, "name": "boombox" }, { "id": 4823, "name": "lyrics_extractor" }, { "id": 4824, "name": "menu" }, { "id": 4825, "name": "comtypes" }, { "id": 4826, "name": "ESRGAN" }, { "id": 4827, "name": "pikepdf" }, { "id": 4828, "name": "streamlit_lottie" }, { "id": 4829, "name": "pycaw" } ], "last_checked_revision": "f40f56c85330e9d683a4fd361f2791e2cf0ec463\n" }, { "id": 561, "url": "https://github.com/TongchengOpenSource/AppScan", "description": "\u5b89\u5168\u9690\u79c1\u536b\u58eb\uff08AppScan\uff09\u4e00\u6b3e\u514d\u8d39\u7684\u4f01\u4e1a\u7ea7\u81ea\u52a8\u5316App\u9690\u79c1\u5408\u89c4\u68c0\u6d4b\u5de5\u5177\u3002", "stars": 644, "source_graph_repo_id": 60666063, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 408, "name": "socketio" }, { "id": 1627, "name": "internal" }, { "id": 2698, "name": "bidict" }, { "id": 4817, "name": "frida" } ], "last_checked_revision": "83d23decf4d9d674a9f89070df391c0286082f20\n" }, { "id": 562, "url": "https://github.com/Renumics/spotlight", "description": "Interactively explore unstructured datasets from your dataframe.", "stars": 623, "source_graph_repo_id": 60310006, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 28, "name": "_pytest" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 76, "name": "click" }, { "id": 78, "name": "imageio" }, { "id": 82, "name": "PIL" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 177, "name": "h5py" }, { "id": 260, "name": "IPython" }, { "id": 399, "name": "orjson" }, { "id": 410, "name": "selenium" }, { "id": 455, "name": "prettytable" }, { "id": 538, "name": "pydantic_settings" }, { "id": 547, "name": "databases" }, { "id": 583, "name": "__main__" }, { "id": 808, "name": "ipywidgets" }, { "id": 936, "name": "toml" }, { "id": 1073, "name": "diskcache" }, { "id": 1112, "name": "filetype" }, { "id": 1311, "name": "umap" }, { "id": 2302, "name": "validators" }, { "id": 2418, "name": "av" }, { "id": 3676, "name": "trimesh" }, { "id": 4808, "name": "lesscpy" }, { "id": 4809, "name": "diffimg" }, { "id": 4810, "name": "pygltflib" }, { "id": 4811, "name": "machineid" }, { "id": 4812, "name": "pycatch22" } ], "last_checked_revision": "d564fff17bf7512ea1ba6e99107521e50a5aa6c2\n" }, { "id": 563, "url": "https://github.com/leptonai/leptonai", "description": "A Pythonic framework to simplify AI service building", "stars": 659, "source_graph_repo_id": 61666705, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 106, "name": "anyio" }, { "id": 118, "name": "gradio" }, { "id": 158, "name": "diffusers" }, { "id": 185, "name": "huggingface_hub" }, { "id": 190, "name": "locust" }, { "id": 223, "name": "botocore" }, { "id": 235, "name": "prometheus_fastapi_instrumentator" }, { "id": 246, "name": "sentence_transformers" }, { "id": 292, "name": "flask" }, { "id": 412, "name": "cloudpickle" }, { "id": 737, "name": "pip" }, { "id": 1390, "name": "limits" }, { "id": 1437, "name": "respx" }, { "id": 2376, "name": "exceptiongroup" }, { "id": 3221, "name": "contextlib2" }, { "id": 3781, "name": "ctransformers" }, { "id": 4806, "name": "hnsqlite" }, { "id": 4941, "name": "asgi_proxy" } ], "last_checked_revision": "9272b90d9122fc158f7313d4a7dcdf2b22caae54\n" }, { "id": 564, "url": "https://github.com/neo4j/NaLLM", "description": "Repository for the NaLLM project", "stars": 683, "source_graph_repo_id": 61068857, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 184, "name": "utils" }, { "id": 195, "name": "llm" }, { "id": 229, "name": "retry" }, { "id": 3953, "name": "embedding" }, { "id": 4464, "name": "components" }, { "id": 4807, "name": "driver" } ], "last_checked_revision": "1af09cd117ba0777d81075c597a5081583568f9f\n" }, { "id": 565, "url": "https://github.com/langchain-ai/langserve", "description": "LangServe \ud83e\udd9c\ufe0f\ud83c\udfd3", "stars": 1102, "source_graph_repo_id": 61769023, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 86, "name": "sse_starlette" }, { "id": 206, "name": "langchain" }, { "id": 399, "name": "orjson" }, { "id": 932, "name": "tomli" }, { "id": 946, "name": "pytest_mock" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 3672, "name": "httpx_sse" }, { "id": 3997, "name": "langsmith" }, { "id": 5226, "name": "langchain_core" } ], "last_checked_revision": "76669c2437e07367ab307462d2cb379d8d7912ac\n" }, { "id": 566, "url": "https://github.com/Tencent/LightDiffusionFlow", "description": "This extension is developed for AUTOMATIC1111's Stable Diffusion web UI that provides import/export options for parameters.", "stars": 622, "source_graph_repo_id": 61689280, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 82, "name": "PIL" }, { "id": 112, "name": "networks" }, { "id": 118, "name": "gradio" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" } ], "last_checked_revision": "1e9ac302a2c7c56c56a458d45afa5bb862ee40e3\n" }, { "id": 567, "url": "https://github.com/SpenserCai/sd-webui-deoldify", "description": "DeOldify for Stable Diffusion WebUI\uff1aThis is an extension for StableDiffusion's AUTOMATIC1111 web-ui that allows colorize of old photos and old video. It is based on deoldify.", "stars": 486, "source_graph_repo_id": 61457600, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 71, "name": "cv2" }, { "id": 78, "name": "imageio" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 161, "name": "matplotlib" }, { "id": 224, "name": "google" }, { "id": 255, "name": "spacy" }, { "id": 260, "name": "IPython" }, { "id": 410, "name": "selenium" }, { "id": 446, "name": "tensorboardX" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" }, { "id": 519, "name": "sentencepiece" }, { "id": 808, "name": "ipywidgets" }, { "id": 1012, "name": "traitlets" }, { "id": 1382, "name": "ffmpeg" }, { "id": 1560, "name": "nbformat" }, { "id": 1621, "name": "fastprogress" }, { "id": 2028, "name": "nbconvert" }, { "id": 3929, "name": "yt_dlp" }, { "id": 4813, "name": "jupyter_contrib_nbextensions" }, { "id": 4814, "name": "pynvx" }, { "id": 4815, "name": "plac" } ], "last_checked_revision": "49380c105159b039334dec7013d69368159fb200\n" }, { "id": 568, "url": "https://github.com/embedchain/embedchain", "description": "The Open Source RAG framework", "stars": 6275, "source_graph_repo_id": 61225118, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 44, "name": "chromadb" }, { "id": 51, "name": "qdrant_client" }, { "id": 57, "name": "llama_index" }, { "id": 58, "name": "pymilvus" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 118, "name": "gradio" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 183, "name": "openai" }, { "id": 200, "name": "models" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 224, "name": "google" }, { "id": 225, "name": "google_auth_oauthlib" }, { "id": 226, "name": "googleapiclient" }, { "id": 246, "name": "sentence_transformers" }, { "id": 266, "name": "discord" }, { "id": 292, "name": "flask" }, { "id": 349, "name": "mock" }, { "id": 631, "name": "responses" }, { "id": 636, "name": "opensearchpy" }, { "id": 1069, "name": "gptcache" }, { "id": 1095, "name": "schema" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1381, "name": "modal" }, { "id": 1493, "name": "psycopg" }, { "id": 1740, "name": "twilio" }, { "id": 3901, "name": "wikipedia" }, { "id": 3929, "name": "yt_dlp" }, { "id": 4139, "name": "paths" }, { "id": 4236, "name": "chainlit" }, { "id": 4370, "name": "llama_hub" }, { "id": 4903, "name": "fastapi_poe" }, { "id": 5720, "name": "dropbox" } ], "last_checked_revision": "f5e3410e9ae1102428746686b69590082f1eccaf\n" }, { "id": 569, "url": "https://github.com/microsoft/vscode-docs", "description": "Public documentation for Visual Studio Code", "stars": 5340, "source_graph_repo_id": 61924, "dependencies": [], "last_checked_revision": null }, { "id": 570, "url": "https://github.com/THUDM/ChatGLM3", "description": "ChatGLM3 series: Open Bilingual Chat LLMs | \u5f00\u6e90\u53cc\u8bed\u5bf9\u8bdd\u8bed\u8a00\u6a21\u578b", "stars": 7961, "source_graph_repo_id": 61926223, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 50, "name": "tiktoken" }, { "id": 54, "name": "loguru" }, { "id": 86, "name": "sse_starlette" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 206, "name": "langchain" }, { "id": 208, "name": "mdtex2html" }, { "id": 246, "name": "sentence_transformers" }, { "id": 1004, "name": "colorama" }, { "id": 1699, "name": "astunparse" }, { "id": 5250, "name": "tensorrt_llm" } ], "last_checked_revision": "affb594a85607030493f66822149d33668c7ce56\n" }, { "id": 571, "url": "https://github.com/Kludex/awesome-fastapi-projects", "description": "List of FastAPI projects! :sunglasses: :rocket: ", "stars": 1155, "source_graph_repo_id": 41730692, "dependencies": [ { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 61, "name": "alembic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 549, "name": "dirty_equals" }, { "id": 946, "name": "pytest_mock" }, { "id": 1083, "name": "aiofiles" }, { "id": 3672, "name": "httpx_sse" }, { "id": 3673, "name": "polyfactory" }, { "id": 4904, "name": "stamina" } ], "last_checked_revision": "79823c1ea6d850a9266672ea4b549fc8535688d3\n" }, { "id": 572, "url": "https://github.com/larymak/Python-project-Scripts", "description": "This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo", "stars": 952, "source_graph_repo_id": 43182421, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 37, "name": "httpx" }, { "id": 39, "name": "streamlit" }, { "id": 53, "name": "PyPDF2" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 80, "name": "tensorflow" }, { "id": 82, "name": "PIL" }, { "id": 92, "name": "pymongo" }, { "id": 98, "name": "pytz" }, { "id": 138, "name": "nltk" }, { "id": 145, "name": "fire" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 186, "name": "seaborn" }, { "id": 215, "name": "cryptography" }, { "id": 216, "name": "newspaper" }, { "id": 224, "name": "google" }, { "id": 250, "name": "praw" }, { "id": 266, "name": "discord" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 409, "name": "watchdog" }, { "id": 410, "name": "selenium" }, { "id": 418, "name": "joblib" }, { "id": 443, "name": "mediapipe" }, { "id": 450, "name": "reportlab" }, { "id": 455, "name": "prettytable" }, { "id": 587, "name": "flask_cors" }, { "id": 611, "name": "fitz" }, { "id": 612, "name": "pytesseract" }, { "id": 627, "name": "langdetect" }, { "id": 772, "name": "config" }, { "id": 796, "name": "pygame" }, { "id": 857, "name": "keras" }, { "id": 876, "name": "pyperclip" }, { "id": 886, "name": "werkzeug" }, { "id": 1068, "name": "docx" }, { "id": 1076, "name": "playsound" }, { "id": 1151, "name": "tensorflow_hub" }, { "id": 1233, "name": "jmespath" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1346, "name": "PyQt5" }, { "id": 1418, "name": "pyautogui" }, { "id": 1483, "name": "win32com" }, { "id": 1528, "name": "channels" }, { "id": 1723, "name": "plyer" }, { "id": 1730, "name": "firebase_admin" }, { "id": 1736, "name": "pytube" }, { "id": 1737, "name": "pyttsx3" }, { "id": 1740, "name": "twilio" }, { "id": 1743, "name": "pywhatkit" }, { "id": 1746, "name": "tkcalendar" }, { "id": 1748, "name": "speech_recognition" }, { "id": 1750, "name": "gtts" }, { "id": 1751, "name": "pyjokes" }, { "id": 1755, "name": "openpyxl" }, { "id": 1766, "name": "win10toast" }, { "id": 1848, "name": "forex_python" }, { "id": 1862, "name": "qrcode" }, { "id": 2040, "name": "schedule" }, { "id": 2137, "name": "textblob" }, { "id": 2267, "name": "captcha" }, { "id": 2321, "name": "face_recognition" }, { "id": 2790, "name": "yfinance" }, { "id": 2863, "name": "xlsxwriter" }, { "id": 2945, "name": "ttkbootstrap" }, { "id": 2948, "name": "PySimpleGUI" }, { "id": 3888, "name": "instaloader" }, { "id": 3889, "name": "pyshorteners" }, { "id": 3901, "name": "wikipedia" }, { "id": 3906, "name": "PyDictionary" }, { "id": 4073, "name": "geopy" }, { "id": 4081, "name": "img2pdf" }, { "id": 4085, "name": "chatterbot" }, { "id": 4375, "name": "environ" }, { "id": 4821, "name": "ta" }, { "id": 4825, "name": "comtypes" }, { "id": 4829, "name": "pycaw" }, { "id": 4906, "name": "instapy" }, { "id": 4907, "name": "preprocessor" }, { "id": 4908, "name": "screen_brightness_control" }, { "id": 4909, "name": "packages" }, { "id": 4910, "name": "firebase" }, { "id": 4911, "name": "instagramy" }, { "id": 4912, "name": "threadinng" }, { "id": 4913, "name": "QtQuiz" }, { "id": 4914, "name": "blood" }, { "id": 4915, "name": "room" }, { "id": 4916, "name": "donor" }, { "id": 4917, "name": "File_Opener" }, { "id": 4918, "name": "linked_list" }, { "id": 4919, "name": "Midas" }, { "id": 4920, "name": "binance" }, { "id": 4921, "name": "chimera" }, { "id": 4922, "name": "googlesearch" }, { "id": 4923, "name": "patient" } ], "last_checked_revision": "98d86cbf9b58afead0f81ea162bf721d917ba6fe\n" }, { "id": 573, "url": "https://github.com/fishaudio/Bert-VITS2", "description": "vits2 backbone with multilingual-bert", "stars": 4068, "source_graph_repo_id": 61567166, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 76, "name": "click" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 161, "name": "matplotlib" }, { "id": 185, "name": "huggingface_hub" }, { "id": 292, "name": "flask" }, { "id": 414, "name": "GPUtil" }, { "id": 439, "name": "torchaudio" }, { "id": 452, "name": "onnxruntime" }, { "id": 479, "name": "regex" }, { "id": 640, "name": "numba" }, { "id": 679, "name": "pypinyin" }, { "id": 682, "name": "cn2an" }, { "id": 754, "name": "librosa" }, { "id": 1372, "name": "langid" }, { "id": 1501, "name": "MeCab" }, { "id": 1817, "name": "inflect" }, { "id": 1835, "name": "soundfile" }, { "id": 1841, "name": "g2p_en" }, { "id": 2418, "name": "av" }, { "id": 2743, "name": "jaconv" }, { "id": 3173, "name": "pyopenjtalk" }, { "id": 4517, "name": "num2words" }, { "id": 4973, "name": "openi" }, { "id": 4976, "name": "pykakasi" }, { "id": 4979, "name": "fastlid" }, { "id": 5256, "name": "vector_quantize_pytorch" } ], "last_checked_revision": "3be52333de27b25a42c350db31a5eb4715a68d51\n" }, { "id": 574, "url": "https://github.com/intel/intel-extension-for-transformers", "description": "\u26a1 Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms\u26a1", "stars": 1584, "source_graph_repo_id": 59631709, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 5, "name": "mlflow" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 53, "name": "PyPDF2" }, { "id": 59, "name": "elasticsearch" }, { "id": 71, "name": "cv2" }, { "id": 77, "name": "dotenv" }, { "id": 78, "name": "imageio" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 85, "name": "tritonclient" }, { "id": 86, "name": "sse_starlette" }, { "id": 89, "name": "triton_python_backend_utils" }, { "id": 93, "name": "gfpgan" }, { "id": 96, "name": "rich" }, { "id": 99, "name": "facexlib" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 130, "name": "safetensors" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 178, "name": "peft" }, { "id": 180, "name": "apex" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 200, "name": "models" }, { "id": 206, "name": "langchain" }, { "id": 223, "name": "botocore" }, { "id": 246, "name": "sentence_transformers" }, { "id": 255, "name": "spacy" }, { "id": 419, "name": "torchmetrics" }, { "id": 429, "name": "wget" }, { "id": 430, "name": "urllib3" }, { "id": 438, "name": "cpuinfo" }, { "id": 442, "name": "filelock" }, { "id": 452, "name": "onnxruntime" }, { "id": 468, "name": "onnx" }, { "id": 472, "name": "kornia" }, { "id": 513, "name": "auto_gptq" }, { "id": 516, "name": "shortuuid" }, { "id": 519, "name": "sentencepiece" }, { "id": 532, "name": "intel_extension_for_pytorch" }, { "id": 534, "name": "torch_xla" }, { "id": 551, "name": "deepspeed" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 555, "name": "polyglot" }, { "id": 557, "name": "pycld2" }, { "id": 559, "name": "markdownify" }, { "id": 698, "name": "pydub" }, { "id": 713, "name": "paddle" }, { "id": 734, "name": "pymysql" }, { "id": 754, "name": "librosa" }, { "id": 895, "name": "lm_eval" }, { "id": 900, "name": "InstructorEmbedding" }, { "id": 910, "name": "ninja" }, { "id": 923, "name": "bottle" }, { "id": 1028, "name": "ruamel" }, { "id": 1068, "name": "docx" }, { "id": 1069, "name": "gptcache" }, { "id": 1071, "name": "markdown2" }, { "id": 1095, "name": "schema" }, { "id": 1123, "name": "common" }, { "id": 1372, "name": "langid" }, { "id": 1380, "name": "fastchat" }, { "id": 1382, "name": "ffmpeg" }, { "id": 1463, "name": "gevent" }, { "id": 1551, "name": "setuptools_scm" }, { "id": 1822, "name": "yacs" }, { "id": 1835, "name": "soundfile" }, { "id": 1839, "name": "webrtcvad" }, { "id": 2026, "name": "sympy" }, { "id": 2385, "name": "database" }, { "id": 2416, "name": "exifread" }, { "id": 2465, "name": "mteb" }, { "id": 2486, "name": "amp_C" }, { "id": 2489, "name": "pytorch_fid" }, { "id": 2796, "name": "optimum" }, { "id": 3085, "name": "haystack" }, { "id": 3465, "name": "nlpaug" }, { "id": 3541, "name": "zhconv" }, { "id": 3837, "name": "paddlespeech" }, { "id": 3968, "name": "deepface" }, { "id": 4201, "name": "cacheflow" }, { "id": 4458, "name": "C_MTEB" }, { "id": 4517, "name": "num2words" }, { "id": 4557, "name": "neural_compressor" }, { "id": 4937, "name": "habana_frameworks" }, { "id": 4943, "name": "llmcache" }, { "id": 4944, "name": "speechbrain" }, { "id": 4945, "name": "infer_itrex" }, { "id": 4946, "name": "nh3" }, { "id": 4947, "name": "run_qa" }, { "id": 4948, "name": "argparse_range" }, { "id": 4949, "name": "cmake" }, { "id": 4950, "name": "torchprofile" }, { "id": 4951, "name": "dllogger" }, { "id": 4952, "name": "fastrag" }, { "id": 4953, "name": "mpt_wrapper" }, { "id": 4954, "name": "mysqldb" }, { "id": 4955, "name": "allennlp" }, { "id": 4956, "name": "chatglm_invocation" }, { "id": 5226, "name": "langchain_core" }, { "id": 5249, "name": "tyro" } ], "last_checked_revision": "c4d6e6d7b1840672f9fe072077a16129e0bc11fd\n" }, { "id": 575, "url": "https://github.com/Kanaries/pygwalker", "description": "PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis", "stars": 8358, "source_graph_repo_id": 60395885, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 45, "name": "arrow" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 237, "name": "polars" }, { "id": 260, "name": "IPython" }, { "id": 400, "name": "altair" }, { "id": 437, "name": "modin" }, { "id": 808, "name": "ipywidgets" }, { "id": 819, "name": "pyspark" }, { "id": 909, "name": "tornado" }, { "id": 1074, "name": "duckdb" }, { "id": 1574, "name": "astor" }, { "id": 2033, "name": "pyodide" }, { "id": 2531, "name": "appdirs" }, { "id": 2719, "name": "segment" }, { "id": 4174, "name": "sqlglot" }, { "id": 4974, "name": "gw_dsl_parser" }, { "id": 5300, "name": "kaggle_secrets" }, { "id": 5590, "name": "kanaries_track" } ], "last_checked_revision": "fc0712b7ed9163d374f345f3958144bf3f565433\n" }, { "id": 576, "url": "https://github.com/safevideo/autollm", "description": "Ship RAG based LLM web apps in seconds.", "stars": 731, "source_graph_repo_id": 61941238, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 43, "name": "pinecone" }, { "id": 51, "name": "qdrant_client" }, { "id": 57, "name": "llama_index" }, { "id": 77, "name": "dotenv" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 206, "name": "langchain" }, { "id": 3993, "name": "lancedb" }, { "id": 4255, "name": "litellm" } ], "last_checked_revision": "c66ff7016d1ea40d922d2108d92276e3192fe40f\n" }, { "id": 577, "url": "https://github.com/Planetary-Computers/autotab-starter", "description": "Build browser agents for real world tasks", "stars": 917, "source_graph_repo_id": 61868141, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 127, "name": "tqdm" }, { "id": 184, "name": "utils" }, { "id": 260, "name": "IPython" }, { "id": 410, "name": "selenium" }, { "id": 941, "name": "semver" }, { "id": 1418, "name": "pyautogui" }, { "id": 2349, "name": "extension" }, { "id": 3060, "name": "screeninfo" }, { "id": 3137, "name": "server" }, { "id": 4800, "name": "undetected_chromedriver" } ], "last_checked_revision": "0688876ae2c6ee7100fdc261961deac19cdc27e1\n" }, { "id": 578, "url": "https://github.com/Agenta-AI/agenta", "description": "The all-in-one LLMOps platform: prompt management, evaluation, human feedback, and deployment all in one place.", "stars": 602, "source_graph_repo_id": 61207568, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 57, "name": "llama_index" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 92, "name": "pymongo" }, { "id": 135, "name": "pkg_resources" }, { "id": 183, "name": "openai" }, { "id": 206, "name": "langchain" }, { "id": 272, "name": "bson" }, { "id": 355, "name": "importlib_metadata" }, { "id": 595, "name": "backoff" }, { "id": 632, "name": "posthog" }, { "id": 778, "name": "docker" }, { "id": 936, "name": "toml" }, { "id": 1007, "name": "motor" }, { "id": 1064, "name": "aiodocker" }, { "id": 1088, "name": "replicate" }, { "id": 1130, "name": "mangum" }, { "id": 1485, "name": "questionary" }, { "id": 1887, "name": "RestrictedPython" }, { "id": 4984, "name": "odmantic" }, { "id": 4985, "name": "agenta" }, { "id": 4986, "name": "ingest" }, { "id": 4987, "name": "agenta_backend" }, { "id": 4988, "name": "_app" } ], "last_checked_revision": "2c1c853ab7c9a8021152ec608e269e12fd1307d2\n" }, { "id": 579, "url": "https://github.com/yokonsan/midjourney-api", "description": "midjourney in discord api. ", "stars": 449, "source_graph_repo_id": 61029680, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 77, "name": "dotenv" }, { "id": 266, "name": "discord" }, { "id": 1083, "name": "aiofiles" } ], "last_checked_revision": "22af7ac7e5a24ea312fcb0f0ca923be879dda16b\n" }, { "id": 580, "url": "https://github.com/shibing624/similarities", "description": "Similarities: a toolkit for similarity calculation and semantic search. \u76f8\u4f3c\u5ea6\u8ba1\u7b97\u3001\u5339\u914d\u641c\u7d22\u5de5\u5177\u5305\uff0c\u652f\u6301\u4ebf\u7ea7\u6570\u636e\u6587\u641c\u6587\u3001\u6587\u641c\u56fe\u3001\u56fe\u641c\u56fe\uff0cpython3\u5f00\u53d1\uff0c\u5f00\u7bb1\u5373\u7528\u3002", "stars": 431, "source_graph_repo_id": 57444827, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 54, "name": "loguru" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 145, "name": "fire" }, { "id": 149, "name": "jieba" }, { "id": 155, "name": "six" }, { "id": 615, "name": "faiss" }, { "id": 742, "name": "hnswlib" }, { "id": 899, "name": "text2vec" }, { "id": 961, "name": "pywt" }, { "id": 2078, "name": "annoy" }, { "id": 2473, "name": "Levenshtein" }, { "id": 2478, "name": "pytrec_eval" }, { "id": 4980, "name": "simhash" }, { "id": 4981, "name": "autofaiss" } ], "last_checked_revision": "0a2b0908959fafab061d3b12d49b0be21b560b59\n" }, { "id": 581, "url": "https://github.com/AIrjen/OneButtonPrompt", "description": "One Button Prompt", "stars": 430, "source_graph_repo_id": 60816326, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 82, "name": "PIL" }, { "id": 118, "name": "gradio" }, { "id": 476, "name": "modules" }, { "id": 4982, "name": "image_scorer" }, { "id": 4983, "name": "folder_paths" } ], "last_checked_revision": "356a1b537adfd6ed9b9d5bc14351bec0d089e436\n" }, { "id": 582, "url": "https://github.com/ArtVentureX/sd-webui-agent-scheduler", "description": "", "stars": 429, "source_graph_repo_id": 61078616, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 82, "name": "PIL" }, { "id": 118, "name": "gradio" }, { "id": 457, "name": "launch" }, { "id": 476, "name": "modules" } ], "last_checked_revision": "39159f2d52f53a5cf7ba0dfd1a0f085cff3e71e5\n" }, { "id": 583, "url": "https://github.com/georgian-io/LLM-Finetuning-Hub", "description": "Repository that contains LLM fine-tuning and deployment scripts along with our research findings.", "stars": 424, "source_graph_repo_id": 61465923, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 38, "name": "pydantic" }, { "id": 76, "name": "click" }, { "id": 111, "name": "einops" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 154, "name": "datasets" }, { "id": 165, "name": "evaluate" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 188, "name": "flash_attn" }, { "id": 538, "name": "pydantic_settings" }, { "id": 558, "name": "vllm" }, { "id": 2796, "name": "optimum" }, { "id": 3070, "name": "trl" }, { "id": 3712, "name": "text_generation" }, { "id": 5026, "name": "ai21" } ], "last_checked_revision": "6a6582d19b85d2ef0f47b623cc80a83985c66678\n" }, { "id": 584, "url": "https://github.com/Richasy/FantasyCopilot", "description": "A new-age AI desktop tool", "stars": 415, "source_graph_repo_id": 61114672, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 900, "name": "InstructorEmbedding" } ], "last_checked_revision": "0895d959e61dd84f067df13cced164ddc7ae8806\n" }, { "id": 585, "url": "https://github.com/glucauze/sd-webui-faceswaplab", "description": " Extended faceswap extension for StableDiffusion web-ui with multiple faceswaps, inpainting, checkpoints, .... ", "stars": 412, "source_graph_repo_id": 61420093, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 135, "name": "pkg_resources" }, { "id": 452, "name": "onnxruntime" }, { "id": 457, "name": "launch" }, { "id": 468, "name": "onnx" }, { "id": 476, "name": "modules" }, { "id": 2414, "name": "insightface" }, { "id": 4378, "name": "ifnude" } ], "last_checked_revision": "42d1c75b68bb7fdb55e2b3753eda65189f82b56d\n" }, { "id": 586, "url": "https://github.com/SerCeMan/fontogen", "description": "Hey, Computer, Make Me a Font", "stars": 406, "source_graph_repo_id": 61767715, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 114, "name": "xformers" }, { "id": 118, "name": "gradio" }, { "id": 159, "name": "lightning" }, { "id": 161, "name": "matplotlib" }, { "id": 4989, "name": "uharfbuzz" }, { "id": 4990, "name": "fontTools" } ], "last_checked_revision": "de1e50b2b42ed17bbfe442949957dd001b5ba80e\n" }, { "id": 587, "url": "https://github.com/bitcart/bitcart", "description": "https://bitcart.ai", "stars": 399, "source_graph_repo_id": 38942400, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 106, "name": "anyio" }, { "id": 115, "name": "packaging" }, { "id": 135, "name": "pkg_resources" }, { "id": 196, "name": "asyncpg" }, { "id": 341, "name": "paramiko" }, { "id": 1059, "name": "decouple" }, { "id": 1065, "name": "async_timeout" }, { "id": 1083, "name": "aiofiles" }, { "id": 1107, "name": "msgpack" }, { "id": 1411, "name": "async_asgi_testclient" }, { "id": 1425, "name": "gino" }, { "id": 1799, "name": "fido2" }, { "id": 2355, "name": "pyotp" }, { "id": 3757, "name": "async_lru" }, { "id": 4991, "name": "electrum_grs" }, { "id": 4992, "name": "notifiers" }, { "id": 4993, "name": "universalasync" }, { "id": 4994, "name": "parametrization" }, { "id": 4995, "name": "eth_keys" }, { "id": 4996, "name": "electroncash" }, { "id": 4997, "name": "trontxsize" }, { "id": 4998, "name": "hexbytes" }, { "id": 4999, "name": "electrum_bsty" }, { "id": 5000, "name": "monero" }, { "id": 5001, "name": "oregano" }, { "id": 5002, "name": "electrum" }, { "id": 5003, "name": "eth_account" }, { "id": 5004, "name": "bitcart" }, { "id": 5005, "name": "electrum_ltc" }, { "id": 5006, "name": "web3" }, { "id": 5007, "name": "mnemonic" }, { "id": 5008, "name": "tronpy" } ], "last_checked_revision": "cb1e6369dbb46cecd2cd19fa3cb094d155094428\n" }, { "id": 588, "url": "https://github.com/modal-labs/modal-examples", "description": "Examples of programs built using Modal", "stars": 398, "source_graph_repo_id": 58998531, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 54, "name": "loguru" }, { "id": 60, "name": "psycopg2" }, { "id": 71, "name": "cv2" }, { "id": 76, "name": "click" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 97, "name": "omegaconf" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 147, "name": "sanic" }, { "id": 154, "name": "datasets" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 178, "name": "peft" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 189, "name": "accelerate" }, { "id": 193, "name": "scripts" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 224, "name": "google" }, { "id": 251, "name": "playwright" }, { "id": 261, "name": "pyarrow" }, { "id": 292, "name": "flask" }, { "id": 334, "name": "bpy" }, { "id": 511, "name": "mypy" }, { "id": 513, "name": "auto_gptq" }, { "id": 558, "name": "vllm" }, { "id": 607, "name": "tensorboard" }, { "id": 639, "name": "whisper" }, { "id": 689, "name": "src" }, { "id": 857, "name": "keras" }, { "id": 893, "name": "smart_open" }, { "id": 900, "name": "InstructorEmbedding" }, { "id": 1074, "name": "duckdb" }, { "id": 1100, "name": "fastai" }, { "id": 1378, "name": "msgspec" }, { "id": 1381, "name": "modal" }, { "id": 1382, "name": "ffmpeg" }, { "id": 1392, "name": "moviepy" }, { "id": 1736, "name": "pytube" }, { "id": 1923, "name": "jupytext" }, { "id": 2402, "name": "pypistats" }, { "id": 2436, "name": "generate" }, { "id": 2480, "name": "examples" }, { "id": 2790, "name": "yfinance" }, { "id": 2796, "name": "optimum" }, { "id": 3132, "name": "dacite" }, { "id": 3397, "name": "dbt" }, { "id": 3532, "name": "pygsheets" }, { "id": 3615, "name": "gql" }, { "id": 3712, "name": "text_generation" }, { "id": 3988, "name": "jsonformer" }, { "id": 4094, "name": "colorgram" }, { "id": 4222, "name": "mlc_chat" }, { "id": 4322, "name": "donut" }, { "id": 4922, "name": "googlesearch" }, { "id": 5027, "name": "min_dalle" }, { "id": 5028, "name": "julia" }, { "id": 5029, "name": "spam_detect" }, { "id": 5030, "name": "bing_image_downloader" }, { "id": 5031, "name": "sqlite_utils" }, { "id": 5032, "name": "primefac" }, { "id": 5033, "name": "pybadges" }, { "id": 5034, "name": "datasette" }, { "id": 5035, "name": "text_to_pokemon" }, { "id": 5597, "name": "asgiproxy" } ], "last_checked_revision": "3dfe8d66b3d1c9c2385250a634ad1ccb648acd6c\n" }, { "id": 589, "url": "https://github.com/langroid/langroid", "description": "Harness LLMs with Multi-Agent Programming", "stars": 810, "source_graph_repo_id": 61388859, "dependencies": [ { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 29, "name": "aiohttp" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 51, "name": "qdrant_client" }, { "id": 56, "name": "redis" }, { "id": 68, "name": "sqlalchemy" }, { "id": 77, "name": "dotenv" }, { "id": 96, "name": "rich" }, { "id": 138, "name": "nltk" }, { "id": 145, "name": "fire" }, { "id": 183, "name": "openai" }, { "id": 226, "name": "googleapiclient" }, { "id": 246, "name": "sentence_transformers" }, { "id": 445, "name": "pygments" }, { "id": 455, "name": "prettytable" }, { "id": 479, "name": "regex" }, { "id": 597, "name": "docstring_parser" }, { "id": 609, "name": "rank_bm25" }, { "id": 611, "name": "fitz" }, { "id": 660, "name": "colorlog" }, { "id": 691, "name": "pdfplumber" }, { "id": 812, "name": "faker" }, { "id": 1072, "name": "unstructured" }, { "id": 1235, "name": "twisted" }, { "id": 1343, "name": "pyparsing" }, { "id": 1366, "name": "scrapy" }, { "id": 1414, "name": "fakeredis" }, { "id": 1486, "name": "mkdocs_gen_files" }, { "id": 1640, "name": "github" }, { "id": 2331, "name": "pypdf" }, { "id": 3085, "name": "haystack" }, { "id": 3090, "name": "thefuzz" }, { "id": 3992, "name": "momento" }, { "id": 4072, "name": "trafilatura" }, { "id": 4255, "name": "litellm" }, { "id": 5021, "name": "datasketch" }, { "id": 5022, "name": "pytest_mysql" }, { "id": 5023, "name": "pytest_postgresql" }, { "id": 5024, "name": "meilisearch_python_sdk" }, { "id": 5025, "name": "pydispatch" } ], "last_checked_revision": "0cdac219bfa78aba413cf94b08f0fde3458d9029\n" }, { "id": 590, "url": "https://github.com/hahwul/noir", "description": "\u2660\ufe0f Noir is an attack surface detector form source code.", "stars": 396, "source_graph_repo_id": 57503247, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 82, "name": "PIL" }, { "id": 200, "name": "models" }, { "id": 292, "name": "flask" }, { "id": 348, "name": "django" }, { "id": 2309, "name": "blog" }, { "id": 2385, "name": "database" }, { "id": 3085, "name": "haystack" }, { "id": 5009, "name": "uuslug" }, { "id": 5010, "name": "comments" }, { "id": 5011, "name": "djangoblog" } ], "last_checked_revision": "56cb947a1f5682f6d076f3875042616b2f9c2982\n" }, { "id": 591, "url": "https://github.com/dev-lu/osint_toolkit", "description": "A full stack web application that combines many tools and services for security analysts into a single tool. ", "stars": 393, "source_graph_repo_id": 61281062, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 479, "name": "regex" }, { "id": 1045, "name": "chardet" }, { "id": 2198, "name": "dependencies" }, { "id": 2335, "name": "feedparser" }, { "id": 2385, "name": "database" }, { "id": 5012, "name": "ioc_extractor" }, { "id": 5013, "name": "ai_assistant" }, { "id": 5014, "name": "ioc_analyzer" }, { "id": 5015, "name": "newsfeed" }, { "id": 5016, "name": "email_analyzer" }, { "id": 5017, "name": "domain_monitoring" } ], "last_checked_revision": "8c7d4f84522746a6478f4f08586120f35174504e\n" }, { "id": 592, "url": "https://github.com/jerlendds/osintbuddy", "description": "Node graphs, OSINT data mining, and plugins. Connect unstructured and public data for transformative insights", "stars": 393, "source_graph_repo_id": 56923503, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 61, "name": "alembic" }, { "id": 62, "name": "app" }, { "id": 64, "name": "jose" }, { "id": 65, "name": "emails" }, { "id": 66, "name": "celery" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 81, "name": "boto3" }, { "id": 223, "name": "botocore" }, { "id": 410, "name": "selenium" }, { "id": 469, "name": "termcolor" }, { "id": 538, "name": "pydantic_settings" }, { "id": 574, "name": "websockets" }, { "id": 1004, "name": "colorama" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1616, "name": "sqlalchemy_json" }, { "id": 3470, "name": "gremlin_python" }, { "id": 3891, "name": "pyfiglet" }, { "id": 4704, "name": "fastapi_cache" }, { "id": 4800, "name": "undetected_chromedriver" }, { "id": 5018, "name": "osintbuddy" }, { "id": 5019, "name": "gremlinpy" }, { "id": 5563, "name": "sqids" }, { "id": 5564, "name": "casdoor" } ], "last_checked_revision": "c1667d95b8d2823144de133eae991a488e17be5f\n" }, { "id": 593, "url": "https://github.com/monarch-initiative/ontogpt", "description": "LLM-based ontological extraction tools, including SPIRES", "stars": 392, "source_graph_repo_id": 60039919, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 50, "name": "tiktoken" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 108, "name": "inflection" }, { "id": 183, "name": "openai" }, { "id": 195, "name": "llm" }, { "id": 206, "name": "langchain" }, { "id": 521, "name": "jsonlines" }, { "id": 635, "name": "requests_cache" }, { "id": 1028, "name": "ruamel" }, { "id": 2977, "name": "recipe_scrapers" }, { "id": 3751, "name": "wikipediaapi" }, { "id": 4031, "name": "rdflib" }, { "id": 4178, "name": "textract" }, { "id": 5038, "name": "linkml_owl" }, { "id": 5039, "name": "cachier" }, { "id": 5040, "name": "oaklib" }, { "id": 5041, "name": "ontogpt" }, { "id": 5042, "name": "semsql" }, { "id": 5043, "name": "pystow" }, { "id": 5044, "name": "sssom_schema" }, { "id": 5045, "name": "bioc" }, { "id": 5046, "name": "jsonasobj2" }, { "id": 5047, "name": "linkml" }, { "id": 5048, "name": "sssom" }, { "id": 5049, "name": "class_resolver" }, { "id": 5050, "name": "linkml_runtime" } ], "last_checked_revision": "327a7bc7a54929963e319ba22c8643879fa1a3de\n" }, { "id": 594, "url": "https://github.com/jetpack-io/launchpad", "description": "From Code to Kubernetes in One Step.", "stars": 391, "source_graph_repo_id": 59584948, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 5020, "name": "jetpack" } ], "last_checked_revision": "b12b15eafa7720361d22cb869a9c517a55a92272\n" }, { "id": 595, "url": "https://github.com/spyboy-productions/r4ven", "description": "Track the IP address and GPS location of the user's smartphone or PC and capture a picture of the target, along with device information.", "stars": 390, "source_graph_repo_id": 58031837, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 292, "name": "flask" } ], "last_checked_revision": "663c534dceff5d1a2baeb2924fff4f64b00082bd\n" }, { "id": 596, "url": "https://github.com/Azure-Samples/miyagi", "description": "Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.", "stars": 388, "source_graph_repo_id": 60683601, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 46, "name": "azure" }, { "id": 51, "name": "qdrant_client" }, { "id": 118, "name": "gradio" }, { "id": 183, "name": "openai" }, { "id": 200, "name": "models" }, { "id": 206, "name": "langchain" }, { "id": 491, "name": "data" }, { "id": 1216, "name": "settings" }, { "id": 4048, "name": "connectors" }, { "id": 5036, "name": "orchestration" }, { "id": 5037, "name": "asyncpraw" }, { "id": 5061, "name": "promptflow" } ], "last_checked_revision": "f8e4bb3e50d60bac4baa5d49bf8b9c978547a5ec\n" }, { "id": 597, "url": "https://github.com/JayZeeDesign/researcher-gpt", "description": "", "stars": 387, "source_graph_repo_id": 61379680, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 38, "name": "pydantic" }, { "id": 77, "name": "dotenv" }, { "id": 206, "name": "langchain" } ], "last_checked_revision": "c302065316e7122339ad4b5d9da3ae38cf1f5b32\n" }, { "id": 598, "url": "https://github.com/josStorer/RWKV-Runner", "description": "A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.", "stars": 3468, "source_graph_repo_id": 60946762, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 84, "name": "torchvision" }, { "id": 86, "name": "sse_starlette" }, { "id": 87, "name": "tokenizers" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 182, "name": "wandb" }, { "id": 184, "name": "utils" }, { "id": 199, "name": "routes" }, { "id": 206, "name": "langchain" }, { "id": 414, "name": "GPUtil" }, { "id": 461, "name": "ftfy" }, { "id": 542, "name": "multipart" }, { "id": 550, "name": "rwkv" }, { "id": 551, "name": "deepspeed" }, { "id": 611, "name": "fitz" }, { "id": 737, "name": "pip" }, { "id": 892, "name": "lm_dataformat" }, { "id": 1583, "name": "webdataset" }, { "id": 3054, "name": "pyngrok" }, { "id": 5062, "name": "torch_directml" }, { "id": 5063, "name": "midi2audio" }, { "id": 5064, "name": "cyac" }, { "id": 5065, "name": "mido" }, { "id": 5066, "name": "global_var" }, { "id": 5067, "name": "rwkv_pip" }, { "id": 5599, "name": "web_rwkv_py" } ], "last_checked_revision": "ff330a54874fe95093c673b5e7c00e52fc7f499e\n" }, { "id": 599, "url": "https://github.com/langchain-ai/opengpts", "description": "", "stars": 5017, "source_graph_repo_id": 61982225, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 56, "name": "redis" }, { "id": 62, "name": "app" }, { "id": 81, "name": "boto3" }, { "id": 86, "name": "sse_starlette" }, { "id": 106, "name": "anyio" }, { "id": 206, "name": "langchain" }, { "id": 373, "name": "tests" }, { "id": 399, "name": "orjson" }, { "id": 628, "name": "magic" }, { "id": 1451, "name": "langchain_experimental" }, { "id": 3997, "name": "langsmith" }, { "id": 4676, "name": "permchain" }, { "id": 4703, "name": "langserve" }, { "id": 5074, "name": "agent_executor" }, { "id": 5075, "name": "gizmo_agent" }, { "id": 5226, "name": "langchain_core" } ], "last_checked_revision": "7e1e760216ec690235663f845c91a519f33ca607\n" }, { "id": 600, "url": "https://github.com/X-PLUG/mPLUG-Owl", "description": "[Official Implementation] mPLUG-Owl & mPLUG-Owl2: Alibaba MLLM Family.", "stars": 1695, "source_graph_repo_id": 60891253, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 87, "name": "tokenizers" }, { "id": 111, "name": "einops" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 151, "name": "bitsandbytes" }, { "id": 154, "name": "datasets" }, { "id": 177, "name": "h5py" }, { "id": 178, "name": "peft" }, { "id": 184, "name": "utils" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 551, "name": "deepspeed" }, { "id": 657, "name": "pycocotools" }, { "id": 1071, "name": "markdown2" }, { "id": 1081, "name": "icecream" }, { "id": 1297, "name": "decord" }, { "id": 2100, "name": "data_utils" }, { "id": 2433, "name": "pycocoevalcap" }, { "id": 3076, "name": "oss2" }, { "id": 3982, "name": "pipeline" }, { "id": 4541, "name": "sconf" }, { "id": 5077, "name": "mplug_owl" }, { "id": 5078, "name": "mplug_owl2" } ], "last_checked_revision": "74f6be9f0b8d42f4c0ff9142a405481e0f859e5c\n" }, { "id": 601, "url": "https://github.com/YORG-AI/Open-Assistant", "description": "YORG Open Source Version", "stars": 1437, "source_graph_repo_id": 61936893, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 47, "name": "tenacity" }, { "id": 77, "name": "dotenv" }, { "id": 92, "name": "pymongo" }, { "id": 96, "name": "rich" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 145, "name": "fire" }, { "id": 206, "name": "langchain" }, { "id": 210, "name": "slack_sdk" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 272, "name": "bson" }, { "id": 573, "name": "inquirer" }, { "id": 689, "name": "src" }, { "id": 690, "name": "markdown" }, { "id": 808, "name": "ipywidgets" }, { "id": 1059, "name": "decouple" }, { "id": 1142, "name": "typeguard" }, { "id": 1640, "name": "github" }, { "id": 2038, "name": "ipykernel" }, { "id": 3941, "name": "serpapi" }, { "id": 4531, "name": "tokentrim" }, { "id": 5076, "name": "write_prd_prompt" }, { "id": 5598, "name": "yorgassistant" } ], "last_checked_revision": "7324fff82a9421ee7bfd210c0437c0e4d2e40a20\n" }, { "id": 602, "url": "https://github.com/microsoft/LLaVA-Med", "description": "Large Language-and-Vision Assistant for BioMedicine, built towards multimodal GPT-4 level capabilities.", "stars": 825, "source_graph_repo_id": 61097358, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 46, "name": "azure" }, { "id": 82, "name": "PIL" }, { "id": 111, "name": "einops" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 136, "name": "open_clip" }, { "id": 138, "name": "nltk" }, { "id": 145, "name": "fire" }, { "id": 156, "name": "tabulate" }, { "id": 183, "name": "openai" }, { "id": 188, "name": "flash_attn" }, { "id": 516, "name": "shortuuid" }, { "id": 555, "name": "polyglot" }, { "id": 557, "name": "pycld2" }, { "id": 559, "name": "markdownify" }, { "id": 1071, "name": "markdown2" }, { "id": 5110, "name": "openai_api" } ], "last_checked_revision": "fc39e7988a46fedbff9150bfbd9c53d08adee83c\n" }, { "id": 603, "url": "https://github.com/ydf0509/funboost", "description": "pip install funboost\uff0cpython\u5168\u529f\u80fd\u5206\u5e03\u5f0f\u51fd\u6570\u8c03\u5ea6\u6846\u67b6,\u3002\u652f\u6301python\u6240\u6709\u7c7b\u578b\u7684\u5e76\u53d1\u6a21\u5f0f\u548c\u5168\u7403\u4e00\u5207\u77e5\u540d\u6d88\u606f\u961f\u5217\u4e2d\u95f4\u4ef6\uff0cpython\u51fd\u6570\u52a0\u901f\u5668\uff0c\u6846\u67b6\u5305\u7f57\u4e07\u8c61\uff0c\u4e00\u7edf\u7f16\u7a0b\u601d\u7ef4\uff0c\u517c\u5bb950% python\u7f16\u7a0b\u4e1a\u52a1\u573a\u666f\uff0c\u9002\u7528\u8303\u56f4\u5e7f\u3002\u53ea\u9700\u8981\u4e00\u884c\u4ee3\u7801\u5373\u53ef\u5206\u5e03\u5f0f\u6267\u884cpython\u4e00\u5207\u51fd\u6570\u3002", "stars": 535, "source_graph_repo_id": 56728587, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 9, "name": "typing_extensions" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 45, "name": "arrow" }, { "id": 54, "name": "loguru" }, { "id": 56, "name": "redis" }, { "id": 59, "name": "elasticsearch" }, { "id": 66, "name": "celery" }, { "id": 68, "name": "sqlalchemy" }, { "id": 92, "name": "pymongo" }, { "id": 98, "name": "pytz" }, { "id": 122, "name": "psutil" }, { "id": 145, "name": "fire" }, { "id": 155, "name": "six" }, { "id": 217, "name": "confluent_kafka" }, { "id": 260, "name": "IPython" }, { "id": 292, "name": "flask" }, { "id": 319, "name": "kombu" }, { "id": 341, "name": "paramiko" }, { "id": 430, "name": "urllib3" }, { "id": 543, "name": "peewee" }, { "id": 885, "name": "eventlet" }, { "id": 889, "name": "func_timeout" }, { "id": 904, "name": "pulsar" }, { "id": 912, "name": "nameko" }, { "id": 948, "name": "apscheduler" }, { "id": 949, "name": "paho" }, { "id": 957, "name": "aioredis" }, { "id": 965, "name": "playhouse" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1057, "name": "kafka" }, { "id": 1065, "name": "async_timeout" }, { "id": 1067, "name": "dns" }, { "id": 1140, "name": "gunicorn" }, { "id": 1377, "name": "zmq" }, { "id": 1463, "name": "gevent" }, { "id": 1474, "name": "wtforms" }, { "id": 1517, "name": "opcode" }, { "id": 1535, "name": "flask_login" }, { "id": 1536, "name": "huey" }, { "id": 1540, "name": "rq" }, { "id": 1617, "name": "pythonjsonlogger" }, { "id": 1707, "name": "flask_bootstrap" }, { "id": 1774, "name": "amqp" }, { "id": 2271, "name": "flask_wtf" }, { "id": 2278, "name": "flask_mail" }, { "id": 2843, "name": "deprecated" }, { "id": 2957, "name": "parsel" }, { "id": 3203, "name": "pysnooper" }, { "id": 4141, "name": "persistqueue" }, { "id": 5081, "name": "vine" }, { "id": 5082, "name": "tomorrow3" }, { "id": 5083, "name": "nb_http_client" }, { "id": 5084, "name": "auto_run_on_remote" }, { "id": 5085, "name": "pikav0" }, { "id": 5086, "name": "decorator_libs" }, { "id": 5087, "name": "nb_filelock" }, { "id": 5088, "name": "pikav1" }, { "id": 5089, "name": "redis3" }, { "id": 5090, "name": "rq_win" }, { "id": 5091, "name": "queuelib" }, { "id": 5092, "name": "flower" }, { "id": 5093, "name": "pyring" }, { "id": 5094, "name": "rocketmq" }, { "id": 5095, "name": "redis5" }, { "id": 5096, "name": "pynats" }, { "id": 5097, "name": "Pyro4" }, { "id": 5098, "name": "dramatiq" }, { "id": 5099, "name": "_pulsar" }, { "id": 5100, "name": "decorator" }, { "id": 5101, "name": "threadpool_executor_shrink_able" }, { "id": 5102, "name": "nb_log" }, { "id": 5103, "name": "amqpstorm" }, { "id": 5104, "name": "gnsq" }, { "id": 5105, "name": "hiredis" }, { "id": 5106, "name": "funboost_config" }, { "id": 5107, "name": "fabric2" }, { "id": 5108, "name": "decohints" }, { "id": 5109, "name": "rabbitpy" } ], "last_checked_revision": "6d59b406d68ce87cabd86c1741970061617a87a6\n" }, { "id": 604, "url": "https://github.com/OpenBB-finance/OpenBBTerminal", "description": "Investment Research for Everyone, Everywhere.", "stars": 25205, "source_graph_repo_id": 43087537, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 57, "name": "llama_index" }, { "id": 64, "name": "jose" }, { "id": 73, "name": "jinja2" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 98, "name": "pytz" }, { "id": 106, "name": "anyio" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 206, "name": "langchain" }, { "id": 237, "name": "polars" }, { "id": 250, "name": "praw" }, { "id": 256, "name": "prawcore" }, { "id": 260, "name": "IPython" }, { "id": 265, "name": "uuid_extensions" }, { "id": 278, "name": "plotly" }, { "id": 355, "name": "importlib_metadata" }, { "id": 430, "name": "urllib3" }, { "id": 447, "name": "svglib" }, { "id": 450, "name": "reportlab" }, { "id": 479, "name": "regex" }, { "id": 539, "name": "pydantic_core" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 597, "name": "docstring_parser" }, { "id": 632, "name": "posthog" }, { "id": 635, "name": "requests_cache" }, { "id": 639, "name": "whisper" }, { "id": 788, "name": "papermill" }, { "id": 791, "name": "shap" }, { "id": 802, "name": "xmltodict" }, { "id": 929, "name": "yarl" }, { "id": 930, "name": "multidict" }, { "id": 936, "name": "toml" }, { "id": 953, "name": "freezegun" }, { "id": 954, "name": "statsmodels" }, { "id": 1394, "name": "extensions" }, { "id": 1431, "name": "vcr" }, { "id": 1466, "name": "nox" }, { "id": 1491, "name": "iso8601" }, { "id": 1560, "name": "nbformat" }, { "id": 1744, "name": "ccxt" }, { "id": 1755, "name": "openpyxl" }, { "id": 2033, "name": "pyodide" }, { "id": 2038, "name": "ipykernel" }, { "id": 2050, "name": "pycoingecko" }, { "id": 2251, "name": "poetry" }, { "id": 2335, "name": "feedparser" }, { "id": 2518, "name": "pandas_datareader" }, { "id": 2732, "name": "PyInstaller" }, { "id": 2790, "name": "yfinance" }, { "id": 3060, "name": "screeninfo" }, { "id": 3096, "name": "pytrends" }, { "id": 3674, "name": "annotated_types" }, { "id": 3678, "name": "pyi_splash" }, { "id": 3929, "name": "yt_dlp" }, { "id": 3940, "name": "vaderSentiment" }, { "id": 3943, "name": "holidays" }, { "id": 4120, "name": "alpha_vantage" }, { "id": 4329, "name": "providers" }, { "id": 4765, "name": "SPARQLWrapper" }, { "id": 4901, "name": "statsforecast" }, { "id": 4920, "name": "binance" }, { "id": 5124, "name": "stocksera" }, { "id": 5125, "name": "openbb_finra" }, { "id": 5126, "name": "pythclient" }, { "id": 5127, "name": "pandas_market_calendars" }, { "id": 5128, "name": "openbb_currency" }, { "id": 5129, "name": "openbb_ecb" }, { "id": 5130, "name": "finvizfinance" }, { "id": 5131, "name": "openbb_cboe" }, { "id": 5132, "name": "random_user_agent" }, { "id": 5133, "name": "detecta" }, { "id": 5134, "name": "fundamentalanalysis" }, { "id": 5135, "name": "fred" }, { "id": 5136, "name": "valinvest" }, { "id": 5137, "name": "i18n" }, { "id": 5138, "name": "openbb_charting" }, { "id": 5139, "name": "openbb_technical" }, { "id": 5140, "name": "openbb_fmp" }, { "id": 5141, "name": "openbb_stockgrid" }, { "id": 5142, "name": "openbb_fred" }, { "id": 5143, "name": "intrinio_sdk" }, { "id": 5144, "name": "pmaw" }, { "id": 5145, "name": "mstarpy" }, { "id": 5146, "name": "openbb_core" }, { "id": 5147, "name": "openbb_fixedincome" }, { "id": 5148, "name": "openbb_seeking_alpha" }, { "id": 5149, "name": "openbb_nasdaq" }, { "id": 5150, "name": "finviz" }, { "id": 5151, "name": "tokenterminal" }, { "id": 5152, "name": "arch" }, { "id": 5153, "name": "openbb" }, { "id": 5154, "name": "openbb_wsj" }, { "id": 5155, "name": "robin_stocks" }, { "id": 5156, "name": "oandapyV20" }, { "id": 5157, "name": "nixtlats" }, { "id": 5158, "name": "pywry" }, { "id": 5159, "name": "financedatabase" }, { "id": 5160, "name": "openbb_provider" }, { "id": 5161, "name": "openbb_equity" }, { "id": 5162, "name": "integration" }, { "id": 5163, "name": "openbb_biztoc" }, { "id": 5164, "name": "degiro_connector" }, { "id": 5165, "name": "openbb_tradingeconomics" }, { "id": 5166, "name": "linearmodels" }, { "id": 5167, "name": "openbb_ultima" }, { "id": 5168, "name": "openbb_polygon" }, { "id": 5169, "name": "nasdaqdatalink" }, { "id": 5170, "name": "darts" }, { "id": 5171, "name": "openbb_etf" }, { "id": 5172, "name": "openbb_yfinance" }, { "id": 5173, "name": "openbb_oecd" }, { "id": 5174, "name": "openbb_crypto" }, { "id": 5175, "name": "bt" }, { "id": 5176, "name": "fredapi" }, { "id": 5177, "name": "openbb_benzinga" }, { "id": 5178, "name": "tradingview_ta" }, { "id": 5179, "name": "pandas_ta" }, { "id": 5180, "name": "coinmarketcapapi" }, { "id": 5181, "name": "openbb_intrinio" }, { "id": 5182, "name": "riskfolio" }, { "id": 5183, "name": "openbb_economy" }, { "id": 5184, "name": "openbb_econometrics" }, { "id": 5185, "name": "quandl" }, { "id": 5186, "name": "openbb_alpha_vantage" }, { "id": 5187, "name": "docs" }, { "id": 5188, "name": "finnhub" }, { "id": 5189, "name": "openbb_sec" }, { "id": 5199, "name": "openbb_derivatives" }, { "id": 5200, "name": "openbb_tiingo" }, { "id": 5206, "name": "openbb_government_us" }, { "id": 5616, "name": "openbb_federal_reserve" } ], "last_checked_revision": "3eaf0d2ef1c28fff8ce1cb809594288fb34ae70e\n" }, { "id": 605, "url": "https://github.com/abi/screenshot-to-code", "description": "Drop in a screenshot and convert it to clean code (HTML/Tailwind/React)", "stars": 32570, "source_graph_repo_id": 62027956, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 22, "name": "bs4" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 77, "name": "dotenv" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 195, "name": "llm" }, { "id": 772, "name": "config" }, { "id": 3179, "name": "eval_utils" }, { "id": 4534, "name": "prompts" }, { "id": 5565, "name": "image_generation" }, { "id": 5566, "name": "access_token" }, { "id": 5567, "name": "mock_llm" }, { "id": 5591, "name": "eval_config" } ], "last_checked_revision": "e32877f3a4bfa732d9892f1953f699820550321e\n" }, { "id": 606, "url": "https://github.com/skypilot-org/skypilot", "description": "SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution\u2014all with a simple interface.", "stars": 4750, "source_graph_repo_id": 58631608, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 46, "name": "azure" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 84, "name": "torchvision" }, { "id": 96, "name": "rich" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 154, "name": "datasets" }, { "id": 160, "name": "pulp" }, { "id": 178, "name": "peft" }, { "id": 182, "name": "wandb" }, { "id": 183, "name": "openai" }, { "id": 188, "name": "flash_attn" }, { "id": 215, "name": "cryptography" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 226, "name": "googleapiclient" }, { "id": 292, "name": "flask" }, { "id": 419, "name": "torchmetrics" }, { "id": 430, "name": "urllib3" }, { "id": 442, "name": "filelock" }, { "id": 455, "name": "prettytable" }, { "id": 620, "name": "networkx" }, { "id": 695, "name": "tensorflow_text" }, { "id": 795, "name": "awscli" }, { "id": 836, "name": "tensorflow_datasets" }, { "id": 974, "name": "cachetools" }, { "id": 1004, "name": "colorama" }, { "id": 1060, "name": "pendulum" }, { "id": 1134, "name": "kubernetes" }, { "id": 1380, "name": "fastchat" }, { "id": 2457, "name": "memory_profiler" }, { "id": 3070, "name": "trl" }, { "id": 4566, "name": "pl_bolts" }, { "id": 5207, "name": "knack" }, { "id": 5208, "name": "ibm_vpc" }, { "id": 5209, "name": "ibm_platform_services" }, { "id": 5210, "name": "sky_callback" }, { "id": 5211, "name": "ibm_cloud_sdk_core" }, { "id": 5212, "name": "ibm_botocore" }, { "id": 5213, "name": "ibm_boto3" } ], "last_checked_revision": "318553bb69cb10547f79011defd2c67548220e1a\n" }, { "id": 607, "url": "https://github.com/imWildCat/scylla", "description": "Intelligent proxy pool for Humans\u2122 to extract content from the internet and build your own Large Language Models in this new AI era", "stars": 3836, "source_graph_repo_id": 36255326, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 155, "name": "six" }, { "id": 251, "name": "playwright" }, { "id": 543, "name": "peewee" }, { "id": 909, "name": "tornado" }, { "id": 965, "name": "playhouse" }, { "id": 2040, "name": "schedule" }, { "id": 2872, "name": "pyquery" } ], "last_checked_revision": "ec10df2adc769084545140448717ee8112b48380\n" }, { "id": 608, "url": "https://github.com/yeti-platform/yeti", "description": "Your Everyday Threat Intelligence", "stars": 1521, "source_graph_repo_id": 943663, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 25, "name": "shodan" }, { "id": 26, "name": "dateutil" }, { "id": 38, "name": "pydantic" }, { "id": 64, "name": "jose" }, { "id": 66, "name": "celery" }, { "id": 67, "name": "passlib" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 98, "name": "pytz" }, { "id": 155, "name": "six" }, { "id": 249, "name": "authlib" }, { "id": 512, "name": "sphinx_rtd_theme" }, { "id": 963, "name": "simplejson" }, { "id": 1067, "name": "dns" }, { "id": 1120, "name": "mongoengine" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1480, "name": "geoip2" }, { "id": 2302, "name": "validators" }, { "id": 2668, "name": "tldextract" }, { "id": 4008, "name": "arango" }, { "id": 5214, "name": "pymisp" }, { "id": 5215, "name": "ipwhois" }, { "id": 5216, "name": "pypdns" }, { "id": 5217, "name": "timesketch_api_client" }, { "id": 5218, "name": "hammock" }, { "id": 5219, "name": "ivre" }, { "id": 5220, "name": "OTXv2" }, { "id": 5221, "name": "maclookup" }, { "id": 5222, "name": "whois" } ], "last_checked_revision": "db9e2d4c4d1e4469970f399bd7ec95cc700ef489\n" }, { "id": 609, "url": "https://github.com/all-in-aigc/gpts-works", "description": "A Third-party GPTs store", "stars": 1034, "source_graph_repo_id": 62021016, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 38, "name": "pydantic" }, { "id": 57, "name": "llama_index" }, { "id": 77, "name": "dotenv" }, { "id": 184, "name": "utils" }, { "id": 200, "name": "models" }, { "id": 985, "name": "pony" }, { "id": 3627, "name": "services" }, { "id": 4464, "name": "components" } ], "last_checked_revision": "20c3d01532413e945d3fea68a0190bef49af0e86\n" }, { "id": 610, "url": "https://github.com/run-llama/LlamaIndexTS", "description": "LlamaIndex is a data framework for your LLM applications", "stars": 736, "source_graph_repo_id": 61396365, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 57, "name": "llama_index" }, { "id": 62, "name": "app" }, { "id": 77, "name": "dotenv" } ], "last_checked_revision": "8b420da753933585e212e75cc1ca60a7de51bf13\n" }, { "id": 611, "url": "https://github.com/microsoft/autogen", "description": "Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ", "stars": 19062, "source_graph_repo_id": 61537424, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 51, "name": "qdrant_client" }, { "id": 77, "name": "dotenv" }, { "id": 82, "name": "PIL" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 135, "name": "pkg_resources" }, { "id": 154, "name": "datasets" }, { "id": 183, "name": "openai" }, { "id": 260, "name": "IPython" }, { "id": 469, "name": "termcolor" }, { "id": 479, "name": "regex" }, { "id": 778, "name": "docker" }, { "id": 1072, "name": "unstructured" }, { "id": 1073, "name": "diskcache" }, { "id": 1088, "name": "replicate" }, { "id": 1560, "name": "nbformat" }, { "id": 1916, "name": "flaml" }, { "id": 2028, "name": "nbconvert" }, { "id": 2331, "name": "pypdf" }, { "id": 3993, "name": "lancedb" }, { "id": 3995, "name": "wolframalpha" }, { "id": 4068, "name": "arxiv" }, { "id": 4482, "name": "url_shortener" }, { "id": 4483, "name": "password_generator" }, { "id": 4487, "name": "sample_code" }, { "id": 4960, "name": "fastembed" }, { "id": 5231, "name": "test_assistant_agent" }, { "id": 5232, "name": "testbed_utils" }, { "id": 5743, "name": "conftest" } ], "last_checked_revision": "b26e659362dad1f44f3782598c88f5f3c61615ef\n" }, { "id": 612, "url": "https://github.com/PKU-YuanGroup/Video-LLaVA", "description": "Video-LLaVA: Learning United Visual Representation by Alignment Before Projection", "stars": 1647, "source_graph_repo_id": 62050262, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 145, "name": "fire" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 516, "name": "shortuuid" }, { "id": 551, "name": "deepspeed" }, { "id": 723, "name": "editdistance" }, { "id": 1297, "name": "decord" }, { "id": 1586, "name": "triton_pre_mlir" }, { "id": 2433, "name": "pycocoevalcap" }, { "id": 3018, "name": "pytorchvideo" } ], "last_checked_revision": "b048dad04ae6a2e9353efb170fc907282a76c7ca\n" }, { "id": 613, "url": "https://github.com/ollama-webui/ollama-webui", "description": "ChatGPT-Style Web UI Client for Ollama \ud83e\udd99", "stars": 2825, "source_graph_repo_id": 61799813, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 38, "name": "pydantic" }, { "id": 67, "name": "passlib" }, { "id": 77, "name": "dotenv" }, { "id": 92, "name": "pymongo" }, { "id": 184, "name": "utils" }, { "id": 292, "name": "flask" }, { "id": 543, "name": "peewee" }, { "id": 587, "name": "flask_cors" }, { "id": 772, "name": "config" }, { "id": 965, "name": "playhouse" }, { "id": 1061, "name": "jwt" }, { "id": 2147, "name": "constants" }, { "id": 5252, "name": "apps" } ], "last_checked_revision": "cbee5621c3a7277f22562775f136d6c93ab28f96\n" }, { "id": 614, "url": "https://github.com/ExtensityAI/symbolicai", "description": "Compositional Differentiable Programming Library", "stars": 735, "source_graph_repo_id": 60090671, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 22, "name": "bs4" }, { "id": 38, "name": "pydantic" }, { "id": 43, "name": "pinecone" }, { "id": 50, "name": "tiktoken" }, { "id": 53, "name": "PyPDF2" }, { "id": 56, "name": "redis" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 92, "name": "pymongo" }, { "id": 124, "name": "git" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 189, "name": "accelerate" }, { "id": 260, "name": "IPython" }, { "id": 272, "name": "bson" }, { "id": 410, "name": "selenium" }, { "id": 445, "name": "pygments" }, { "id": 477, "name": "webdriver_manager" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 639, "name": "whisper" }, { "id": 698, "name": "pydub" }, { "id": 936, "name": "toml" }, { "id": 1075, "name": "bardapi" }, { "id": 1432, "name": "requests_toolbelt" }, { "id": 1821, "name": "pathos" }, { "id": 3941, "name": "serpapi" }, { "id": 3970, "name": "rpyc" }, { "id": 3995, "name": "wolframalpha" }, { "id": 5253, "name": "box" }, { "id": 5254, "name": "tika" }, { "id": 5255, "name": "lavis" } ], "last_checked_revision": "cd40639a3939f523171e828e916aa63c15564125\n" }, { "id": 615, "url": "https://github.com/friuns2/BlackFriday-GPTs-Prompts", "description": "List of free GPTs that doesn't require plus subscription ", "stars": 1621, "source_graph_repo_id": 62077530, "dependencies": [], "last_checked_revision": null }, { "id": 616, "url": "https://github.com/radames/Real-Time-Latent-Consistency-Model", "description": "Demo showcasing ~real-time Latent Consistency Model pipeline with Diffusers and a MJPEG stream server", "stars": 710, "source_graph_repo_id": 61950757, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 122, "name": "psutil" }, { "id": 158, "name": "diffusers" }, { "id": 532, "name": "intel_extension_for_pytorch" }, { "id": 875, "name": "compel" }, { "id": 1071, "name": "markdown2" }, { "id": 5629, "name": "sfast" }, { "id": 5683, "name": "onediff" } ], "last_checked_revision": "a39f1710f8cea625b58398d3599074dc26c58c70\n" }, { "id": 617, "url": "https://github.com/krishnaik06/The-Grand-Complete-Data-Science-Materials", "description": "", "stars": 4733, "source_graph_repo_id": 61709163, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 5, "name": "mlflow" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 20, "name": "pyppeteer" }, { "id": 22, "name": "bs4" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 30, "name": "certifi" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 36, "name": "uvloop" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 43, "name": "pinecone" }, { "id": 46, "name": "azure" }, { "id": 51, "name": "qdrant_client" }, { "id": 57, "name": "llama_index" }, { "id": 60, "name": "psycopg2" }, { "id": 62, "name": "app" }, { "id": 64, "name": "jose" }, { "id": 67, "name": "passlib" }, { "id": 68, "name": "sqlalchemy" }, { "id": 71, "name": "cv2" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 75, "name": "importlib_resources" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 88, "name": "pexpect" }, { "id": 96, "name": "rich" }, { "id": 98, "name": "pytz" }, { "id": 106, "name": "anyio" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 135, "name": "pkg_resources" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 165, "name": "evaluate" }, { "id": 178, "name": "peft" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 186, "name": "seaborn" }, { "id": 206, "name": "langchain" }, { "id": 207, "name": "black" }, { "id": 210, "name": "slack_sdk" }, { "id": 212, "name": "duckduckgo_search" }, { "id": 215, "name": "cryptography" }, { "id": 218, "name": "lxml" }, { "id": 223, "name": "botocore" }, { "id": 224, "name": "google" }, { "id": 227, "name": "websocket" }, { "id": 246, "name": "sentence_transformers" }, { "id": 251, "name": "playwright" }, { "id": 255, "name": "spacy" }, { "id": 259, "name": "asgiref" }, { "id": 260, "name": "IPython" }, { "id": 261, "name": "pyarrow" }, { "id": 292, "name": "flask" }, { "id": 300, "name": "com" }, { "id": 313, "name": "mypy_extensions" }, { "id": 322, "name": "py" }, { "id": 335, "name": "_typeshed" }, { "id": 336, "name": "A" }, { "id": 341, "name": "paramiko" }, { "id": 344, "name": "B" }, { "id": 348, "name": "django" }, { "id": 349, "name": "mock" }, { "id": 351, "name": "sphinx" }, { "id": 355, "name": "importlib_metadata" }, { "id": 370, "name": "dask" }, { "id": 378, "name": "gi" }, { "id": 386, "name": "mod" }, { "id": 409, "name": "watchdog" }, { "id": 410, "name": "selenium" }, { "id": 412, "name": "cloudpickle" }, { "id": 418, "name": "joblib" }, { "id": 425, "name": "fsspec" }, { "id": 430, "name": "urllib3" }, { "id": 431, "name": "comet_ml" }, { "id": 436, "name": "mpl_toolkits" }, { "id": 442, "name": "filelock" }, { "id": 445, "name": "pygments" }, { "id": 450, "name": "reportlab" }, { "id": 462, "name": "yapf" }, { "id": 479, "name": "regex" }, { "id": 495, "name": "Cython" }, { "id": 497, "name": "prometheus_client" }, { "id": 498, "name": "coverage" }, { "id": 505, "name": "debugpy" }, { "id": 509, "name": "docutils" }, { "id": 511, "name": "mypy" }, { "id": 533, "name": "optuna" }, { "id": 538, "name": "pydantic_settings" }, { "id": 548, "name": "markupsafe" }, { "id": 553, "name": "prompt_toolkit" }, { "id": 554, "name": "vertexai" }, { "id": 565, "name": "s3fs" }, { "id": 574, "name": "websockets" }, { "id": 583, "name": "__main__" }, { "id": 587, "name": "flask_cors" }, { "id": 611, "name": "fitz" }, { "id": 612, "name": "pytesseract" }, { "id": 613, "name": "platformdirs" }, { "id": 615, "name": "faiss" }, { "id": 617, "name": "astroid" }, { "id": 620, "name": "networkx" }, { "id": 639, "name": "whisper" }, { "id": 640, "name": "numba" }, { "id": 650, "name": "backports" }, { "id": 689, "name": "src" }, { "id": 690, "name": "markdown" }, { "id": 692, "name": "wordcloud" }, { "id": 708, "name": "pyrsistent" }, { "id": 719, "name": "_io" }, { "id": 737, "name": "pip" }, { "id": 765, "name": "attr" }, { "id": 796, "name": "pygame" }, { "id": 799, "name": "xgboost" }, { "id": 802, "name": "xmltodict" }, { "id": 808, "name": "ipywidgets" }, { "id": 824, "name": "bokeh" }, { "id": 857, "name": "keras" }, { "id": 872, "name": "catboost" }, { "id": 878, "name": "send2trash" }, { "id": 886, "name": "werkzeug" }, { "id": 901, "name": "hypothesis" }, { "id": 909, "name": "tornado" }, { "id": 942, "name": "jsonpointer" }, { "id": 945, "name": "fastjsonschema" }, { "id": 952, "name": "sniffio" }, { "id": 954, "name": "statsmodels" }, { "id": 963, "name": "simplejson" }, { "id": 1004, "name": "colorama" }, { "id": 1008, "name": "waitress" }, { "id": 1012, "name": "traitlets" }, { "id": 1017, "name": "jupyter_core" }, { "id": 1023, "name": "jupyter_server" }, { "id": 1024, "name": "notebook" }, { "id": 1026, "name": "jupyter_client" }, { "id": 1045, "name": "chardet" }, { "id": 1061, "name": "jwt" }, { "id": 1086, "name": "win32api" }, { "id": 1087, "name": "netifaces" }, { "id": 1105, "name": "fs" }, { "id": 1128, "name": "cassandra" }, { "id": 1139, "name": "dill" }, { "id": 1189, "name": "genericpath" }, { "id": 1194, "name": "idna" }, { "id": 1211, "name": "pycurl" }, { "id": 1235, "name": "twisted" }, { "id": 1237, "name": "defusedxml" }, { "id": 1239, "name": "pyodbc" }, { "id": 1256, "name": "rest_framework" }, { "id": 1264, "name": "argon2" }, { "id": 1284, "name": "OpenSSL" }, { "id": 1323, "name": "imblearn" }, { "id": 1343, "name": "pyparsing" }, { "id": 1346, "name": "PyQt5" }, { "id": 1355, "name": "brotli" }, { "id": 1357, "name": "blinker" }, { "id": 1366, "name": "scrapy" }, { "id": 1377, "name": "zmq" }, { "id": 1382, "name": "ffmpeg" }, { "id": 1398, "name": "xattr" }, { "id": 1439, "name": "bleach" }, { "id": 1441, "name": "itsdangerous" }, { "id": 1460, "name": "thrift" }, { "id": 1463, "name": "gevent" }, { "id": 1480, "name": "geoip2" }, { "id": 1482, "name": "wmi" }, { "id": 1483, "name": "win32com" }, { "id": 1487, "name": "_weakref" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1509, "name": "distributed" }, { "id": 1514, "name": "viztracer" }, { "id": 1517, "name": "opcode" }, { "id": 1519, "name": "_collections_abc" }, { "id": 1521, "name": "pickle5" }, { "id": 1534, "name": "asttokens" }, { "id": 1551, "name": "setuptools_scm" }, { "id": 1554, "name": "_ctypes" }, { "id": 1555, "name": "flaky" }, { "id": 1560, "name": "nbformat" }, { "id": 1578, "name": "boto" }, { "id": 1617, "name": "pythonjsonlogger" }, { "id": 1660, "name": "pathlib2" }, { "id": 1676, "name": "atheris" }, { "id": 1678, "name": "pynamodb" }, { "id": 1686, "name": "pyperf" }, { "id": 1711, "name": "ordereddict" }, { "id": 1715, "name": "wheel" }, { "id": 1736, "name": "pytube" }, { "id": 1747, "name": "pyglet" }, { "id": 1750, "name": "gtts" }, { "id": 1755, "name": "openpyxl" }, { "id": 1763, "name": "xlrd" }, { "id": 1779, "name": "mistune" }, { "id": 1790, "name": "maxminddb" }, { "id": 1828, "name": "timer" }, { "id": 1837, "name": "nose" }, { "id": 1899, "name": "wcwidth" }, { "id": 1913, "name": "numexpr" }, { "id": 1924, "name": "win32con" }, { "id": 1960, "name": "threadpoolctl" }, { "id": 1973, "name": "lz4" }, { "id": 1981, "name": "xarray" }, { "id": 2004, "name": "cycler" }, { "id": 2006, "name": "comm" }, { "id": 2020, "name": "js" }, { "id": 2026, "name": "sympy" }, { "id": 2028, "name": "nbconvert" }, { "id": 2032, "name": "markdown_it" }, { "id": 2035, "name": "mdit_py_plugins" }, { "id": 2038, "name": "ipykernel" }, { "id": 2053, "name": "PyQt4" }, { "id": 2057, "name": "OpenGL" }, { "id": 2062, "name": "sip" }, { "id": 2075, "name": "PySide" }, { "id": 2137, "name": "textblob" }, { "id": 2315, "name": "wx" }, { "id": 2328, "name": "PyQt6" }, { "id": 2332, "name": "cffi" }, { "id": 2457, "name": "memory_profiler" }, { "id": 2474, "name": "cython" }, { "id": 2496, "name": "pyexpat" }, { "id": 2516, "name": "pydevd" }, { "id": 2517, "name": "pydevd_file_utils" }, { "id": 2535, "name": "curio" }, { "id": 2566, "name": "win32evtlog" }, { "id": 2631, "name": "cairo" }, { "id": 2660, "name": "ntlm" }, { "id": 2662, "name": "win_inet_pton" }, { "id": 2666, "name": "railroad" }, { "id": 2671, "name": "_string" }, { "id": 2672, "name": "greenlet" }, { "id": 2726, "name": "pyximport" }, { "id": 2732, "name": "PyInstaller" }, { "id": 2749, "name": "asyncssh" }, { "id": 2781, "name": "ultralytics" }, { "id": 2825, "name": "PySide6" }, { "id": 2832, "name": "keybert" }, { "id": 2849, "name": "ntsecuritycon" }, { "id": 2853, "name": "win32security" }, { "id": 2855, "name": "org" }, { "id": 2863, "name": "xlsxwriter" }, { "id": 2935, "name": "trio" }, { "id": 2972, "name": "jedi" }, { "id": 3027, "name": "lap" }, { "id": 3045, "name": "steps" }, { "id": 3070, "name": "trl" }, { "id": 3094, "name": "pycountry" }, { "id": 3140, "name": "parso" }, { "id": 3190, "name": "win32serviceutil" }, { "id": 3191, "name": "servicemanager" }, { "id": 3196, "name": "win32service" }, { "id": 3201, "name": "itemadapter" }, { "id": 3221, "name": "contextlib2" }, { "id": 3283, "name": "requests_unixsocket" }, { "id": 3503, "name": "unicodedata2" }, { "id": 3623, "name": "java" }, { "id": 3662, "name": "sounddevice" }, { "id": 3754, "name": "win32clipboard" }, { "id": 3770, "name": "keyring" }, { "id": 3794, "name": "brotlicffi" }, { "id": 3857, "name": "win32pipe" }, { "id": 3858, "name": "win32file" }, { "id": 3896, "name": "twython" }, { "id": 3955, "name": "setup" }, { "id": 3982, "name": "pipeline" }, { "id": 4063, "name": "snscrape" }, { "id": 4107, "name": "pylab" }, { "id": 4132, "name": "lockfile" }, { "id": 4206, "name": "tables" }, { "id": 4324, "name": "streamlit_option_menu" }, { "id": 4333, "name": "pyVmomi" }, { "id": 4356, "name": "AppKit" }, { "id": 4357, "name": "Quartz" }, { "id": 4360, "name": "pythoncom" }, { "id": 4361, "name": "winerror" }, { "id": 4365, "name": "win32event" }, { "id": 4454, "name": "olefile" }, { "id": 4488, "name": "charset_normalizer" }, { "id": 4538, "name": "soupsieve" }, { "id": 4546, "name": "outcome" }, { "id": 4548, "name": "_winapi" }, { "id": 4564, "name": "testsuite" }, { "id": 4652, "name": "pyscript" }, { "id": 4744, "name": "numpydoc" }, { "id": 4938, "name": "mdit_plain" }, { "id": 4989, "name": "uharfbuzz" }, { "id": 4990, "name": "fontTools" }, { "id": 5097, "name": "Pyro4" }, { "id": 5100, "name": "decorator" }, { "id": 5239, "name": "trulens_eval" }, { "id": 5247, "name": "matplotlib_inline" }, { "id": 5253, "name": "box" }, { "id": 5257, "name": "biotite" }, { "id": 5258, "name": "keyphrase_vectorizers" }, { "id": 5259, "name": "stmol" }, { "id": 5260, "name": "wavio" }, { "id": 5261, "name": "contractions" }, { "id": 5262, "name": "py3Dmol" }, { "id": 5269, "name": "yake" }, { "id": 5270, "name": "video_summarizer" }, { "id": 5292, "name": "Indian_Coin_Detection" }, { "id": 5293, "name": "ensure" }, { "id": 5294, "name": "cvzone" }, { "id": 5295, "name": "filterpy" }, { "id": 5297, "name": "fastparquet" }, { "id": 5321, "name": "chain_retriever" }, { "id": 5336, "name": "qcombobox_subclass" }, { "id": 5337, "name": "_cffi_backend" }, { "id": 5338, "name": "pywin" }, { "id": 5339, "name": "ipaddr" }, { "id": 5340, "name": "pycares" }, { "id": 5341, "name": "_winxptheme" }, { "id": 5342, "name": "jupyter_server_terminals" }, { "id": 5343, "name": "disassemble" }, { "id": 5344, "name": "fastcluster" }, { "id": 5345, "name": "fb303" }, { "id": 5346, "name": "shiboken2" }, { "id": 5347, "name": "pycparser" }, { "id": 5348, "name": "ipython_genutils" }, { "id": 5349, "name": "nbclient" }, { "id": 5350, "name": "_tkinter" }, { "id": 5351, "name": "zipp" }, { "id": 5352, "name": "norm" }, { "id": 5353, "name": "clr" }, { "id": 5354, "name": "exchdapi" }, { "id": 5355, "name": "win32profile" }, { "id": 5356, "name": "sspi" }, { "id": 5357, "name": "jupyter_console" }, { "id": 5358, "name": "_msi" }, { "id": 5359, "name": "win32help" }, { "id": 5360, "name": "sspicon" }, { "id": 5361, "name": "munkres" }, { "id": 5362, "name": "genapi" }, { "id": 5363, "name": "win32timezone" }, { "id": 5364, "name": "_weakrefset" }, { "id": 5365, "name": "pysqlite2" }, { "id": 5366, "name": "html5lib" }, { "id": 5367, "name": "cerealizer" }, { "id": 5368, "name": "pydev_pysrc" }, { "id": 5369, "name": "_curses" }, { "id": 5370, "name": "repr" }, { "id": 5371, "name": "cairocffi" }, { "id": 5372, "name": "perfmon" }, { "id": 5373, "name": "qtpy" }, { "id": 5374, "name": "tmp_joblib_" }, { "id": 5375, "name": "cchardet" }, { "id": 5376, "name": "ctags" }, { "id": 5377, "name": "_ssl" }, { "id": 5378, "name": "win32cryptcon" }, { "id": 5379, "name": "pywin32_system32" }, { "id": 5380, "name": "ply" }, { "id": 5381, "name": "_subprocess" }, { "id": 5382, "name": "concurrencytest" }, { "id": 5383, "name": "win32inet" }, { "id": 5384, "name": "netscape" }, { "id": 5385, "name": "_dummy_threading" }, { "id": 5386, "name": "pure_eval" }, { "id": 5387, "name": "distorm" }, { "id": 5388, "name": "argcomplete" }, { "id": 5389, "name": "BeaEnginePython" }, { "id": 5390, "name": "dialog" }, { "id": 5391, "name": "jupyter_events" }, { "id": 5392, "name": "terminado" }, { "id": 5393, "name": "_random" }, { "id": 5394, "name": "disco" }, { "id": 5395, "name": "pyxlsb" }, { "id": 5396, "name": "win32process" }, { "id": 5397, "name": "Pyside" }, { "id": 5398, "name": "win32pdhutil" }, { "id": 5399, "name": "regutil" }, { "id": 5400, "name": "winpty" }, { "id": 5401, "name": "ptyprocess" }, { "id": 5402, "name": "CallTipWindow" }, { "id": 5403, "name": "winxpgui" }, { "id": 5404, "name": "svgling" }, { "id": 5405, "name": "_csv" }, { "id": 5406, "name": "docrepr" }, { "id": 5407, "name": "_abcoll" }, { "id": 5408, "name": "_testbuffer" }, { "id": 5409, "name": "cftime" }, { "id": 5410, "name": "_markupbase" }, { "id": 5411, "name": "Res" }, { "id": 5412, "name": "_pypy_wait" }, { "id": 5413, "name": "win32ras" }, { "id": 5414, "name": "numpy_api" }, { "id": 5415, "name": "_frozen_importlib" }, { "id": 5416, "name": "pydevd_plugins" }, { "id": 5417, "name": "_win32sysloader" }, { "id": 5418, "name": "win32crypt" }, { "id": 5419, "name": "_pydev_runfiles" }, { "id": 5420, "name": "__pypy__" }, { "id": 5421, "name": "checks" }, { "id": 5422, "name": "regcheck" }, { "id": 5423, "name": "win32cred" }, { "id": 5424, "name": "win32evtlogutil" }, { "id": 5425, "name": "winnt" }, { "id": 5426, "name": "pydoc_data" }, { "id": 5427, "name": "kiwisolver" }, { "id": 5428, "name": "win32traceutil" }, { "id": 5429, "name": "pyside2uic" }, { "id": 5430, "name": "glyphsLib" }, { "id": 5431, "name": "win32transaction" }, { "id": 5432, "name": "jupyterlab_pygments" }, { "id": 5433, "name": "ufoLib2" }, { "id": 5434, "name": "_frozen_importlib_external" }, { "id": 5435, "name": "win32net" }, { "id": 5436, "name": "_pydevd_frame_eval_ext" }, { "id": 5437, "name": "verstamp" }, { "id": 5438, "name": "libdisassemble" }, { "id": 5439, "name": "odf" }, { "id": 5440, "name": "uri_template" }, { "id": 5441, "name": "_socket" }, { "id": 5442, "name": "numpy_distutils" }, { "id": 5443, "name": "dde" }, { "id": 5444, "name": "win32pdh" }, { "id": 5445, "name": "_pydevd_bundle" }, { "id": 5446, "name": "PySide2" }, { "id": 5447, "name": "_multiprocessing" }, { "id": 5448, "name": "notebook_shim" }, { "id": 5449, "name": "pydev_ipython" }, { "id": 5450, "name": "_pydev_bundle" }, { "id": 5451, "name": "win32inetcon" }, { "id": 5452, "name": "array_interface_testing" }, { "id": 5453, "name": "markupbase" }, { "id": 5454, "name": "pathops" }, { "id": 5455, "name": "_posixsubprocess" }, { "id": 5456, "name": "rfc3987" }, { "id": 5457, "name": "jnius" }, { "id": 5458, "name": "stack_data" }, { "id": 5459, "name": "ipython_denied_module" }, { "id": 5460, "name": "_pydevd_bundle_ext" }, { "id": 5461, "name": "contourpy" }, { "id": 5462, "name": "pkgutil_resolve_name" }, { "id": 5463, "name": "numpypy" }, { "id": 5464, "name": "_bisect" }, { "id": 5465, "name": "win32uiole" }, { "id": 5466, "name": "_imp" }, { "id": 5467, "name": "code_generators" }, { "id": 5468, "name": "urllib3_secure_extra" }, { "id": 5469, "name": "gtk" }, { "id": 5470, "name": "bllipparser" }, { "id": 5471, "name": "tinycss2" }, { "id": 5472, "name": "adsi" }, { "id": 5473, "name": "ccompiler_opt" }, { "id": 5474, "name": "win32ts" }, { "id": 5475, "name": "tests_python" }, { "id": 5476, "name": "win32console" }, { "id": 5477, "name": "defcon" }, { "id": 5478, "name": "exchange" }, { "id": 5479, "name": "winappdbg" }, { "id": 5480, "name": "webcolors" }, { "id": 5481, "name": "pycrfsuite" }, { "id": 5482, "name": "json_logging" }, { "id": 5483, "name": "pydasm" }, { "id": 5484, "name": "backcall" }, { "id": 5485, "name": "commctrl" }, { "id": 5486, "name": "BeautifulSoup" }, { "id": 5487, "name": "pywintypes" }, { "id": 5488, "name": "mapi" }, { "id": 5489, "name": "win32rcparser" }, { "id": 5490, "name": "ttest" }, { "id": 5491, "name": "afxres" }, { "id": 5492, "name": "win32netcon" }, { "id": 5493, "name": "netbios" }, { "id": 5494, "name": "pyczmq" }, { "id": 5495, "name": "Numeric" }, { "id": 5496, "name": "win32ui" }, { "id": 5497, "name": "_importlib_modulespec" }, { "id": 5498, "name": "_manylinux" }, { "id": 5499, "name": "pickleshare" }, { "id": 5500, "name": "appnope" }, { "id": 5501, "name": "win32trace" }, { "id": 5502, "name": "pvectorc" }, { "id": 5503, "name": "pywin32_testutil" }, { "id": 5504, "name": "glut_support" }, { "id": 5505, "name": "_multibytecodec" }, { "id": 5506, "name": "webencodings" }, { "id": 5507, "name": "rfc3986_validator" }, { "id": 5508, "name": "isapi" }, { "id": 5509, "name": "Foundation" }, { "id": 5510, "name": "odbc" }, { "id": 5511, "name": "stackless" }, { "id": 5512, "name": "mem_policy" }, { "id": 5513, "name": "_warnings" }, { "id": 5514, "name": "_pydevd_frame_eval" }, { "id": 5515, "name": "trio_typing" }, { "id": 5516, "name": "win32wnet" }, { "id": 5517, "name": "win32gui_struct" }, { "id": 5518, "name": "distorm3" }, { "id": 5519, "name": "testpath" }, { "id": 5520, "name": "python_socks" }, { "id": 5521, "name": "numarray" }, { "id": 5522, "name": "wincertstore" }, { "id": 5523, "name": "pydevconsole" }, { "id": 5524, "name": "mmapfile" }, { "id": 5525, "name": "fqdn" }, { "id": 5526, "name": "_compression" }, { "id": 5527, "name": "nbclassic" }, { "id": 5528, "name": "attach_script" }, { "id": 5529, "name": "adodbapi" }, { "id": 5530, "name": "System" }, { "id": 5531, "name": "psyco" }, { "id": 5532, "name": "rfc3339_validator" }, { "id": 5533, "name": "executing" }, { "id": 5534, "name": "pydevd_tracing" }, { "id": 5535, "name": "mx" }, { "id": 5536, "name": "win32print" }, { "id": 5537, "name": "_osx_support" }, { "id": 5538, "name": "capstone" }, { "id": 5539, "name": "ipyparallel" }, { "id": 5540, "name": "wsaccel" }, { "id": 5541, "name": "_argon2_cffi_bindings" }, { "id": 5542, "name": "win32gui" }, { "id": 5543, "name": "pandocfilters" }, { "id": 5544, "name": "isoduration" }, { "id": 5545, "name": "gobject" }, { "id": 5546, "name": "shiboken6" }, { "id": 5547, "name": "qtconsole" }, { "id": 5548, "name": "add_code_to_python_process" }, { "id": 5549, "name": "_tracemalloc" }, { "id": 5550, "name": "xl5en32" }, { "id": 5551, "name": "ado_consts" }, { "id": 5552, "name": "winioctlcon" }, { "id": 5553, "name": "wincerapi" }, { "id": 5554, "name": "lldb" }, { "id": 5555, "name": "zopfli" }, { "id": 5556, "name": "_aix_support" }, { "id": 5557, "name": "freetype" }, { "id": 5709, "name": "backorder" } ], "last_checked_revision": "5fa8e187f90fc69a1254309a05ee614d020fab3b\n" }, { "id": 618, "url": "https://github.com/Akegarasu/lora-scripts", "description": "LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.", "stars": 3200, "source_graph_repo_id": 60140758, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 34, "name": "uvicorn" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 82, "name": "PIL" }, { "id": 96, "name": "rich" }, { "id": 122, "name": "psutil" }, { "id": 135, "name": "pkg_resources" }, { "id": 185, "name": "huggingface_hub" }, { "id": 452, "name": "onnxruntime" }, { "id": 574, "name": "websockets" }, { "id": 936, "name": "toml" }, { "id": 4548, "name": "_winapi" } ], "last_checked_revision": "b6e64df67ee63c1cc92ffbded46ab249dd1cd672\n" }, { "id": 619, "url": "https://github.com/AI4Finance-Foundation/FinNLP", "description": "Democratizing Internet-scale financial data.", "stars": 916, "source_graph_repo_id": 60363884, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 47, "name": "tenacity" }, { "id": 53, "name": "PyPDF2" }, { "id": 98, "name": "pytz" }, { "id": 127, "name": "tqdm" }, { "id": 138, "name": "nltk" }, { "id": 154, "name": "datasets" }, { "id": 183, "name": "openai" }, { "id": 218, "name": "lxml" }, { "id": 410, "name": "selenium" }, { "id": 430, "name": "urllib3" }, { "id": 812, "name": "faker" }, { "id": 1072, "name": "unstructured" }, { "id": 2868, "name": "tushare" }, { "id": 2957, "name": "parsel" }, { "id": 3096, "name": "pytrends" }, { "id": 3214, "name": "pandarallel" }, { "id": 4075, "name": "ratelimit" }, { "id": 4297, "name": "akshare" }, { "id": 5021, "name": "datasketch" }, { "id": 5188, "name": "finnhub" } ], "last_checked_revision": "1046aac8d152bedd524ed1b29a71a681a06d5500\n" }, { "id": 620, "url": "https://github.com/THUDM/CogVLM", "description": "a state-of-the-art-level open visual language model | \u591a\u6a21\u6001\u9884\u8bad\u7ec3\u6a21\u578b", "stars": 3353, "source_graph_repo_id": 61803777, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 54, "name": "loguru" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 86, "name": "sse_starlette" }, { "id": 105, "name": "timm" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 118, "name": "gradio" }, { "id": 161, "name": "matplotlib" }, { "id": 180, "name": "apex" }, { "id": 185, "name": "huggingface_hub" }, { "id": 186, "name": "seaborn" }, { "id": 255, "name": "spacy" }, { "id": 521, "name": "jsonlines" }, { "id": 551, "name": "deepspeed" }, { "id": 4242, "name": "sat" } ], "last_checked_revision": "390b7c6aad7381597cce4403f7d05c1874369a84\n" }, { "id": 621, "url": "https://github.com/faust-streaming/faust", "description": "Python Stream Processing. A Faust fork", "stars": 1323, "source_graph_repo_id": 42312025, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 26, "name": "dateutil" }, { "id": 28, "name": "_pytest" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 63, "name": "raven" }, { "id": 73, "name": "jinja2" }, { "id": 74, "name": "sentry_sdk" }, { "id": 76, "name": "click" }, { "id": 98, "name": "pytz" }, { "id": 313, "name": "mypy_extensions" }, { "id": 348, "name": "django" }, { "id": 349, "name": "mock" }, { "id": 351, "name": "sphinx" }, { "id": 355, "name": "importlib_metadata" }, { "id": 399, "name": "orjson" }, { "id": 495, "name": "Cython" }, { "id": 497, "name": "prometheus_client" }, { "id": 508, "name": "setproctitle" }, { "id": 509, "name": "docutils" }, { "id": 572, "name": "croniter" }, { "id": 901, "name": "hypothesis" }, { "id": 929, "name": "yarl" }, { "id": 953, "name": "freezegun" }, { "id": 963, "name": "simplejson" }, { "id": 1057, "name": "kafka" }, { "id": 1401, "name": "terminaltables" }, { "id": 1409, "name": "opentracing" }, { "id": 1495, "name": "ciso8601" }, { "id": 1518, "name": "pydot" }, { "id": 1614, "name": "api" }, { "id": 1693, "name": "aredis" }, { "id": 1912, "name": "aiohttp_cors" }, { "id": 2797, "name": "aiokafka" }, { "id": 3440, "name": "aerospike" }, { "id": 5203, "name": "rocksdict" }, { "id": 5301, "name": "intervaltree" }, { "id": 5302, "name": "proj324" }, { "id": 5303, "name": "raven_aiohttp" }, { "id": 5304, "name": "click_completion" }, { "id": 5305, "name": "mode" }, { "id": 5306, "name": "sphinx_celery" }, { "id": 5307, "name": "proj323" }, { "id": 5308, "name": "envoy" }, { "id": 5309, "name": "faustapp" }, { "id": 5310, "name": "t" }, { "id": 5718, "name": "my_faust" } ], "last_checked_revision": "6588a9774babd6aee61f2ce69572b167850717b4\n" }, { "id": 622, "url": "https://github.com/netease-youdao/EmotiVoice", "description": "EmotiVoice \ud83d\ude0a: a Multi-Voice and Prompt-Controlled TTS Engine", "stars": 5471, "source_graph_repo_id": 61999432, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 38, "name": "pydantic" }, { "id": 39, "name": "streamlit" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 149, "name": "jieba" }, { "id": 161, "name": "matplotlib" }, { "id": 521, "name": "jsonlines" }, { "id": 640, "name": "numba" }, { "id": 679, "name": "pypinyin" }, { "id": 698, "name": "pydub" }, { "id": 704, "name": "cog" }, { "id": 754, "name": "librosa" }, { "id": 1618, "name": "unidecode" }, { "id": 1813, "name": "pyworld" }, { "id": 1817, "name": "inflect" }, { "id": 1818, "name": "praatio" }, { "id": 1820, "name": "pypinyin_dict" }, { "id": 1822, "name": "yacs" }, { "id": 1835, "name": "soundfile" }, { "id": 1841, "name": "g2p_en" }, { "id": 5692, "name": "exp" }, { "id": 5749, "name": "pyrubberband" } ], "last_checked_revision": "2c0d2e06e9ed13a7cf77404efb12f35e27ddfcff\n" }, { "id": 623, "url": "https://github.com/pydantic/FastUI", "description": "Build better UIs faster.", "stars": 3043, "source_graph_repo_id": 62122628, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 183, "name": "openai" }, { "id": 539, "name": "pydantic_core" }, { "id": 549, "name": "dirty_equals" }, { "id": 3674, "name": "annotated_types" }, { "id": 5318, "name": "fastui" }, { "id": 5622, "name": "libsql_client" } ], "last_checked_revision": "cec25c61a7cc5a716d05d21039f95be3e8dac0e8\n" }, { "id": 624, "url": "https://github.com/mattwparas/steel", "description": "An embedded scheme interpreter in Rust", "stars": 678, "source_graph_repo_id": 43041568, "dependencies": [ { "id": 3, "name": "fastapi" } ], "last_checked_revision": "03fe335199334f44396949fda2508de3545bc895\n" }, { "id": 625, "url": "https://github.com/plasmicapp/plasmic", "description": "Visual builder for React. Build apps, websites, and content. Integrate with your codebase.", "stars": 3551, "source_graph_repo_id": 43064273, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 13, "name": "pytest" }, { "id": 38, "name": "pydantic" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 224, "name": "google" }, { "id": 1466, "name": "nox" }, { "id": 2220, "name": "nox_poetry" }, { "id": 5330, "name": "pybackend" } ], "last_checked_revision": "7b31bb4285e55994f970a8b5f23a4f8a98f175d2\n" }, { "id": 626, "url": "https://github.com/graphql-python/graphene-sqlalchemy", "description": "Graphene SQLAlchemy integration", "stars": 959, "source_graph_repo_id": 407214, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 18, "name": "setuptools" }, { "id": 68, "name": "sqlalchemy" }, { "id": 135, "name": "pkg_resources" }, { "id": 292, "name": "flask" }, { "id": 500, "name": "graphql" }, { "id": 912, "name": "nameko" }, { "id": 1047, "name": "sqlalchemy_utils" }, { "id": 1412, "name": "pytest_asyncio" }, { "id": 1455, "name": "aiodataloader" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 1656, "name": "graphene" }, { "id": 1869, "name": "flask_graphql" }, { "id": 4698, "name": "starlette_graphene3" }, { "id": 5326, "name": "sphinx_graphene_theme" }, { "id": 5327, "name": "promise" }, { "id": 5328, "name": "graphql_relay" }, { "id": 5329, "name": "graphql_server" } ], "last_checked_revision": "9c2bc8468f4c88fee2b2f6fd2c0b8725fa9ccee3\n" }, { "id": 627, "url": "https://github.com/SuperDuperDB/superduperdb", "description": "\ud83d\udd2e SuperDuperDB. Bring AI to your database; integrate, train and manage any AI models and APIs directly with your database and your data. ", "stars": 3668, "source_graph_repo_id": 60752363, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 4, "name": "ray" }, { "id": 9, "name": "typing_extensions" }, { "id": 10, "name": "typer" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 47, "name": "tenacity" }, { "id": 54, "name": "loguru" }, { "id": 68, "name": "sqlalchemy" }, { "id": 76, "name": "click" }, { "id": 77, "name": "dotenv" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 92, "name": "pymongo" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 239, "name": "lorem" }, { "id": 246, "name": "sentence_transformers" }, { "id": 261, "name": "pyarrow" }, { "id": 272, "name": "bson" }, { "id": 370, "name": "dask" }, { "id": 455, "name": "prettytable" }, { "id": 556, "name": "anthropic" }, { "id": 620, "name": "networkx" }, { "id": 737, "name": "pip" }, { "id": 902, "name": "overrides" }, { "id": 903, "name": "cohere" }, { "id": 1139, "name": "dill" }, { "id": 1431, "name": "vcr" }, { "id": 3596, "name": "clickhouse_sqlalchemy" }, { "id": 5558, "name": "ibis" }, { "id": 5559, "name": "mongomock" }, { "id": 5560, "name": "loki_logger_handler" }, { "id": 5561, "name": "gridfs" } ], "last_checked_revision": "90cdb4fdfcbf61d9e4ece56696ee6906ac111956\n" }, { "id": 628, "url": "https://github.com/cpacker/MemGPT", "description": "Teaching LLMs memory management for unbounded context \ud83d\udcda\ud83e\udd99", "stars": 7029, "source_graph_repo_id": 61824705, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 37, "name": "httpx" }, { "id": 38, "name": "pydantic" }, { "id": 44, "name": "chromadb" }, { "id": 50, "name": "tiktoken" }, { "id": 55, "name": "pgvector" }, { "id": 57, "name": "llama_index" }, { "id": 68, "name": "sqlalchemy" }, { "id": 88, "name": "pexpect" }, { "id": 96, "name": "rich" }, { "id": 98, "name": "pytz" }, { "id": 127, "name": "tqdm" }, { "id": 183, "name": "openai" }, { "id": 455, "name": "prettytable" }, { "id": 574, "name": "websockets" }, { "id": 597, "name": "docstring_parser" }, { "id": 1004, "name": "colorama" }, { "id": 1485, "name": "questionary" }, { "id": 1493, "name": "psycopg" }, { "id": 3993, "name": "lancedb" }, { "id": 4818, "name": "autogen" }, { "id": 5253, "name": "box" }, { "id": 5576, "name": "demjson3" } ], "last_checked_revision": "cc4458db583c22d751a9058853170a0bc9c4f6e1\n" }, { "id": 629, "url": "https://github.com/semgrep/semgrep-rules", "description": "Semgrep rules registry", "stars": 655, "source_graph_repo_id": 39866515, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 60, "name": "psycopg2" }, { "id": 62, "name": "app" }, { "id": 68, "name": "sqlalchemy" }, { "id": 73, "name": "jinja2" }, { "id": 76, "name": "click" }, { "id": 81, "name": "boto3" }, { "id": 90, "name": "environs" }, { "id": 91, "name": "mysql" }, { "id": 92, "name": "pymongo" }, { "id": 155, "name": "six" }, { "id": 161, "name": "matplotlib" }, { "id": 196, "name": "asyncpg" }, { "id": 200, "name": "models" }, { "id": 215, "name": "cryptography" }, { "id": 273, "name": "airflow" }, { "id": 287, "name": "attrs" }, { "id": 292, "name": "flask" }, { "id": 309, "name": "myapp" }, { "id": 318, "name": "somewhere" }, { "id": 341, "name": "paramiko" }, { "id": 348, "name": "django" }, { "id": 356, "name": "library" }, { "id": 373, "name": "tests" }, { "id": 430, "name": "urllib3" }, { "id": 491, "name": "data" }, { "id": 548, "name": "markupsafe" }, { "id": 643, "name": "Crypto" }, { "id": 734, "name": "pymysql" }, { "id": 778, "name": "docker" }, { "id": 824, "name": "bokeh" }, { "id": 866, "name": "util" }, { "id": 886, "name": "werkzeug" }, { "id": 919, "name": "pyramid" }, { "id": 1028, "name": "ruamel" }, { "id": 1061, "name": "jwt" }, { "id": 1123, "name": "common" }, { "id": 1139, "name": "dill" }, { "id": 1179, "name": "pymssql" }, { "id": 1196, "name": "mako" }, { "id": 1237, "name": "defusedxml" }, { "id": 1243, "name": "pyOpenSSL" }, { "id": 1256, "name": "rest_framework" }, { "id": 1259, "name": "Cryptodome" }, { "id": 1262, "name": "flask_sqlalchemy" }, { "id": 1509, "name": "distributed" }, { "id": 1697, "name": "flask_caching" }, { "id": 1950, "name": "_pickle" }, { "id": 2278, "name": "flask_mail" }, { "id": 2555, "name": "sh" }, { "id": 2775, "name": "application" }, { "id": 2855, "name": "org" }, { "id": 2884, "name": "jsonpickle" }, { "id": 3187, "name": "hashids" }, { "id": 4375, "name": "environ" }, { "id": 5600, "name": "secret_info" }, { "id": 5601, "name": "_xxsubinterpreters" }, { "id": 5602, "name": "Flask" }, { "id": 5603, "name": "pg8000" }, { "id": 5604, "name": "backend" }, { "id": 5605, "name": "defusedcsv" }, { "id": 5606, "name": "ckeditor" }, { "id": 5607, "name": "aws_lambda_powertools" }, { "id": 5608, "name": "flask_github" }, { "id": 5609, "name": "phonenumber_field" }, { "id": 5610, "name": "something" }, { "id": 5611, "name": "sensitive_variables" }, { "id": 5612, "name": "_testcapi" } ], "last_checked_revision": "fc9ff9a4a41886deb5bf4459726c71f9861f3b60\n" }, { "id": 630, "url": "https://github.com/Coframe/coffee", "description": "Build and iterate on your UI 10x faster with AI - right from your own IDE \u2615\ufe0f", "stars": 1139, "source_graph_repo_id": 62181048, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 10, "name": "typer" }, { "id": 19, "name": "requests" }, { "id": 29, "name": "aiohttp" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 73, "name": "jinja2" }, { "id": 82, "name": "PIL" }, { "id": 183, "name": "openai" }, { "id": 184, "name": "utils" }, { "id": 200, "name": "models" }, { "id": 206, "name": "langchain" }, { "id": 409, "name": "watchdog" }, { "id": 772, "name": "config" }, { "id": 1451, "name": "langchain_experimental" }, { "id": 1655, "name": "ijson" }, { "id": 2128, "name": "yaspin" }, { "id": 4497, "name": "agents" }, { "id": 5618, "name": "agent" }, { "id": 5619, "name": "igittigitt" } ], "last_checked_revision": "4658e54c1a8825b06b2a05b71fecd90acb4d2354\n" }, { "id": 631, "url": "https://github.com/modelscope/modelscope", "description": "ModelScope: bring the notion of Model-as-a-Service to life.", "stars": 5284, "source_graph_repo_id": 59494780, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 16, "name": "sklearn" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 26, "name": "dateutil" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 71, "name": "cv2" }, { "id": 78, "name": "imageio" }, { "id": 80, "name": "tensorflow" }, { "id": 81, "name": "boto3" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 87, "name": "tokenizers" }, { "id": 94, "name": "clip" }, { "id": 96, "name": "rich" }, { "id": 97, "name": "omegaconf" }, { "id": 105, "name": "timm" }, { "id": 107, "name": "ldm" }, { "id": 110, "name": "pytorch_lightning" }, { "id": 111, "name": "einops" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 118, "name": "gradio" }, { "id": 119, "name": "basicsr" }, { "id": 127, "name": "tqdm" }, { "id": 129, "name": "skimage" }, { "id": 130, "name": "safetensors" }, { "id": 131, "name": "torchsde" }, { "id": 134, "name": "realesrgan" }, { "id": 135, "name": "pkg_resources" }, { "id": 136, "name": "open_clip" }, { "id": 138, "name": "nltk" }, { "id": 140, "name": "scipy" }, { "id": 142, "name": "pynvml" }, { "id": 145, "name": "fire" }, { "id": 149, "name": "jieba" }, { "id": 152, "name": "rouge_score" }, { "id": 154, "name": "datasets" }, { "id": 155, "name": "six" }, { "id": 156, "name": "tabulate" }, { "id": 158, "name": "diffusers" }, { "id": 161, "name": "matplotlib" }, { "id": 174, "name": "albumentations" }, { "id": 177, "name": "h5py" }, { "id": 180, "name": "apex" }, { "id": 184, "name": "utils" }, { "id": 188, "name": "flash_attn" }, { "id": 189, "name": "accelerate" }, { "id": 191, "name": "taming" }, { "id": 223, "name": "botocore" }, { "id": 245, "name": "absl" }, { "id": 255, "name": "spacy" }, { "id": 261, "name": "pyarrow" }, { "id": 287, "name": "attrs" }, { "id": 355, "name": "importlib_metadata" }, { "id": 418, "name": "joblib" }, { "id": 419, "name": "torchmetrics" }, { "id": 430, "name": "urllib3" }, { "id": 436, "name": "mpl_toolkits" }, { "id": 439, "name": "torchaudio" }, { "id": 446, "name": "tensorboardX" }, { "id": 451, "name": "mmdet" }, { "id": 452, "name": "onnxruntime" }, { "id": 456, "name": "fairscale" }, { "id": 461, "name": "ftfy" }, { "id": 462, "name": "yapf" }, { "id": 464, "name": "fvcore" }, { "id": 468, "name": "onnx" }, { "id": 469, "name": "termcolor" }, { "id": 471, "name": "shapely" }, { "id": 472, "name": "kornia" }, { "id": 476, "name": "modules" }, { "id": 479, "name": "regex" }, { "id": 481, "name": "addict" }, { "id": 482, "name": "pavi" }, { "id": 485, "name": "lmdb" }, { "id": 486, "name": "mmcv" }, { "id": 493, "name": "mmseg" }, { "id": 519, "name": "sentencepiece" }, { "id": 534, "name": "torch_xla" }, { "id": 551, "name": "deepspeed" }, { "id": 605, "name": "mpi4py" }, { "id": 607, "name": "tensorboard" }, { "id": 615, "name": "faiss" }, { "id": 616, "name": "seqeval" }, { "id": 620, "name": "networkx" }, { "id": 633, "name": "rapidfuzz" }, { "id": 640, "name": "numba" }, { "id": 657, "name": "pycocotools" }, { "id": 659, "name": "easydict" }, { "id": 701, "name": "subword_nmt" }, { "id": 706, "name": "pythainlp" }, { "id": 720, "name": "rouge" }, { "id": 737, "name": "pip" }, { "id": 754, "name": "librosa" }, { "id": 798, "name": "fasttext" }, { "id": 862, "name": "fairseq" }, { "id": 963, "name": "simplejson" }, { "id": 1094, "name": "detectron2" }, { "id": 1156, "name": "ml_collections" }, { "id": 1297, "name": "decord" }, { "id": 1311, "name": "umap" }, { "id": 1386, "name": "sacrebleu" }, { "id": 1392, "name": "moviepy" }, { "id": 1452, "name": "ipdb" }, { "id": 1472, "name": "pyclipper" }, { "id": 1505, "name": "sacremoses" }, { "id": 1624, "name": "tf2onnx" }, { "id": 1628, "name": "cpm_kernels" }, { "id": 1809, "name": "kaldiio" }, { "id": 1822, "name": "yacs" }, { "id": 1826, "name": "hyperpyyaml" }, { "id": 1835, "name": "soundfile" }, { "id": 2026, "name": "sympy" }, { "id": 2066, "name": "healpy" }, { "id": 2100, "name": "data_utils" }, { "id": 2120, "name": "tasks" }, { "id": 2232, "name": "assets" }, { "id": 2448, "name": "kaldi" }, { "id": 2468, "name": "tutel" }, { "id": 2486, "name": "amp_C" }, { "id": 2512, "name": "stanza" }, { "id": 2547, "name": "sortedcontainers" }, { "id": 2650, "name": "Bio" }, { "id": 2695, "name": "skvideo" }, { "id": 2697, "name": "imgaug" }, { "id": 2773, "name": "tf_slim" }, { "id": 2982, "name": "thop" }, { "id": 2994, "name": "onnxsim" }, { "id": 3017, "name": "segmentation_models_pytorch" }, { "id": 3027, "name": "lap" }, { "id": 3076, "name": "oss2" }, { "id": 3251, "name": "ttsfrd" }, { "id": 3263, "name": "finetune_glm" }, { "id": 3267, "name": "shotdetect_scenedetect_lgss" }, { "id": 3272, "name": "videofeatures_clipit" }, { "id": 3281, "name": "kws_util" }, { "id": 3296, "name": "easycv" }, { "id": 3338, "name": "unicore" }, { "id": 3357, "name": "textnas_final" }, { "id": 3374, "name": "learning_rates" }, { "id": 3375, "name": "generation_utils" }, { "id": 3398, "name": "kwsbp" }, { "id": 3410, "name": "artist" }, { "id": 3412, "name": "xtcocotools" }, { "id": 3418, "name": "pretrain_glm" }, { "id": 3423, "name": "pyvi" }, { "id": 3449, "name": "odps" }, { "id": 3478, "name": "bmt_clipit" }, { "id": 3485, "name": "blocklm_utils" }, { "id": 3503, "name": "unicodedata2" }, { "id": 3507, "name": "easynlp" }, { "id": 3514, "name": "gast" }, { "id": 3537, "name": "text2sql_lgesql" }, { "id": 3540, "name": "MinDAEC" }, { "id": 3541, "name": "zhconv" }, { "id": 3549, "name": "mmcls" }, { "id": 3586, "name": "torch_scatter" }, { "id": 3617, "name": "en_core_web_sm" }, { "id": 3621, "name": "py_sound_connect" }, { "id": 3676, "name": "trimesh" }, { "id": 3783, "name": "bminf" }, { "id": 3918, "name": "plyfile" }, { "id": 3931, "name": "rembg" }, { "id": 4000, "name": "dashscope" }, { "id": 4384, "name": "SwissArmyTransformer" }, { "id": 4447, "name": "swift" }, { "id": 4451, "name": "zhipuai" }, { "id": 4455, "name": "modeling_baichuan" }, { "id": 4513, "name": "rotary_embedding_torch" }, { "id": 4518, "name": "edit_distance" }, { "id": 4588, "name": "hdbscan" }, { "id": 4944, "name": "speechbrain" }, { "id": 5630, "name": "cudaops_ailut" }, { "id": 5631, "name": "lpips" }, { "id": 5632, "name": "megatron_util" }, { "id": 5633, "name": "funasr" }, { "id": 5634, "name": "control_ldm" }, { "id": 5635, "name": "tokenization_baichuan" }, { "id": 5636, "name": "configuration_baichuan" }, { "id": 5637, "name": "damo" }, { "id": 5638, "name": "mmdet3d" }, { "id": 5639, "name": "tinycudann" }, { "id": 5640, "name": "mcubes" }, { "id": 5641, "name": "dummy" }, { "id": 5642, "name": "alt_cuda_corr" }, { "id": 5643, "name": "face_alignment" }, { "id": 5644, "name": "wenetruntime" }, { "id": 5645, "name": "moneyed" }, { "id": 5646, "name": "mvextractor" }, { "id": 5647, "name": "kantts" }, { "id": 5648, "name": "pointnet2_cuda" }, { "id": 5649, "name": "nvdiffrast" }, { "id": 5650, "name": "torchmcubes" }, { "id": 5651, "name": "adaseq" }, { "id": 5652, "name": "mir_eval" }, { "id": 5653, "name": "pytorch_wavelets" }, { "id": 5654, "name": "pytorch3d" }, { "id": 5655, "name": "easyrobust" }, { "id": 5656, "name": "nerfacc" }, { "id": 5657, "name": "modelsope" }, { "id": 5658, "name": "ddpm_guided_diffusion" }, { "id": 5659, "name": "smplx" }, { "id": 5660, "name": "tts_autolabel" }, { "id": 5661, "name": "pyquaternion" }, { "id": 5662, "name": "paint_ldm" }, { "id": 5663, "name": "fun_text_processing" }, { "id": 5684, "name": "carvekit" } ], "last_checked_revision": "0b1a9748009848f9c03216d972696da4d9176c02\n" }, { "id": 632, "url": "https://github.com/AI-Engineer-Foundation/agent-protocol", "description": "Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.", "stars": 577, "source_graph_repo_id": 61321570, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 13, "name": "pytest" }, { "id": 19, "name": "requests" }, { "id": 26, "name": "dateutil" }, { "id": 29, "name": "aiohttp" }, { "id": 38, "name": "pydantic" }, { "id": 76, "name": "click" }, { "id": 430, "name": "urllib3" }, { "id": 1083, "name": "aiofiles" }, { "id": 2740, "name": "hypercorn" }, { "id": 4484, "name": "agent_protocol" }, { "id": 5693, "name": "smol_dev" }, { "id": 5694, "name": "agent_protocol_client" } ], "last_checked_revision": "4ed64c6eed2225de610c1a1cd19112783f6a4d66\n" }, { "id": 633, "url": "https://github.com/apple/ml-ferret", "description": "", "stars": 5341, "source_graph_repo_id": 61794564, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 111, "name": "einops" }, { "id": 118, "name": "gradio" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 161, "name": "matplotlib" }, { "id": 178, "name": "peft" }, { "id": 185, "name": "huggingface_hub" }, { "id": 188, "name": "flash_attn" }, { "id": 455, "name": "prettytable" }, { "id": 551, "name": "deepspeed" }, { "id": 657, "name": "pycocotools" }, { "id": 5695, "name": "misc" } ], "last_checked_revision": "262a943e1f856c52d6491de10f443d804b8132ee\n" }, { "id": 634, "url": "https://github.com/cumulo-autumn/StreamDiffusion", "description": "StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation", "stars": 6493, "source_graph_repo_id": 62216513, "dependencies": [ { "id": 2, "name": "starlette" }, { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 82, "name": "PIL" }, { "id": 84, "name": "torchvision" }, { "id": 114, "name": "xformers" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 145, "name": "fire" }, { "id": 157, "name": "triton" }, { "id": 158, "name": "diffusers" }, { "id": 468, "name": "onnx" }, { "id": 524, "name": "tensorrt" }, { "id": 1071, "name": "markdown2" }, { "id": 3720, "name": "cuda" }, { "id": 4052, "name": "polygraphy" }, { "id": 4053, "name": "onnx_graphsurgeon" }, { "id": 5629, "name": "sfast" }, { "id": 5696, "name": "mss" }, { "id": 5697, "name": "streamdiffusion" } ], "last_checked_revision": "f43fb051061ba21376445eca63db8d991e14dff8\n" }, { "id": 635, "url": "https://github.com/outlines-dev/outlines", "description": "Guided Text Generation", "stars": 3876, "source_graph_repo_id": 61055171, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 11, "name": "transformers" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 50, "name": "tiktoken" }, { "id": 72, "name": "jsonschema" }, { "id": 73, "name": "jinja2" }, { "id": 121, "name": "lark" }, { "id": 154, "name": "datasets" }, { "id": 513, "name": "auto_gptq" }, { "id": 558, "name": "vllm" }, { "id": 631, "name": "responses" }, { "id": 640, "name": "numba" }, { "id": 1488, "name": "nest_asyncio" }, { "id": 5243, "name": "interegular" }, { "id": 5710, "name": "line_profiler" }, { "id": 5711, "name": "mamba_ssm" }, { "id": 5712, "name": "perscache" }, { "id": 5713, "name": "referencing" } ], "last_checked_revision": "0355ab4272a5d7e4d94c4a53a52593f885b81a61\n" }, { "id": 636, "url": "https://github.com/NVIDIA/TensorRT-LLM", "description": "TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.", "stars": 3968, "source_graph_repo_id": 61867316, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 9, "name": "typing_extensions" }, { "id": 11, "name": "transformers" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 15, "name": "torch" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 31, "name": "yaml" }, { "id": 34, "name": "uvicorn" }, { "id": 50, "name": "tiktoken" }, { "id": 73, "name": "jinja2" }, { "id": 82, "name": "PIL" }, { "id": 111, "name": "einops" }, { "id": 115, "name": "packaging" }, { "id": 121, "name": "lark" }, { "id": 122, "name": "psutil" }, { "id": 127, "name": "tqdm" }, { "id": 130, "name": "safetensors" }, { "id": 142, "name": "pynvml" }, { "id": 154, "name": "datasets" }, { "id": 157, "name": "triton" }, { "id": 165, "name": "evaluate" }, { "id": 184, "name": "utils" }, { "id": 468, "name": "onnx" }, { "id": 479, "name": "regex" }, { "id": 513, "name": "auto_gptq" }, { "id": 524, "name": "tensorrt" }, { "id": 605, "name": "mpi4py" }, { "id": 639, "name": "whisper" }, { "id": 743, "name": "parameterized" }, { "id": 862, "name": "fairseq" }, { "id": 866, "name": "util" }, { "id": 1118, "name": "build" }, { "id": 1629, "name": "faster_whisper" }, { "id": 1835, "name": "soundfile" }, { "id": 1892, "name": "graphviz" }, { "id": 2653, "name": "functional" }, { "id": 2947, "name": "run" }, { "id": 3062, "name": "pygit2" }, { "id": 3720, "name": "cuda" }, { "id": 4052, "name": "polygraphy" }, { "id": 4165, "name": "janus" }, { "id": 4252, "name": "convert" }, { "id": 5255, "name": "lavis" }, { "id": 5714, "name": "kaldialign" }, { "id": 5715, "name": "hf_gpt_convert" }, { "id": 5716, "name": "run_hf" }, { "id": 5717, "name": "fmha_triton" } ], "last_checked_revision": "deaae40bd795f9cea7238fafcff038b1de1ac83f\n" }, { "id": 637, "url": "https://github.com/nicolargo/glances", "description": "Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.", "stars": 24110, "source_graph_repo_id": 48292, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 21, "name": "ujson" }, { "id": 26, "name": "dateutil" }, { "id": 30, "name": "certifi" }, { "id": 34, "name": "uvicorn" }, { "id": 59, "name": "elasticsearch" }, { "id": 92, "name": "pymongo" }, { "id": 98, "name": "pytz" }, { "id": 115, "name": "packaging" }, { "id": 122, "name": "psutil" }, { "id": 297, "name": "pysnmp" }, { "id": 497, "name": "prometheus_client" }, { "id": 822, "name": "py3nvml" }, { "id": 949, "name": "paho" }, { "id": 1016, "name": "statsd" }, { "id": 1057, "name": "kafka" }, { "id": 1087, "name": "netifaces" }, { "id": 1128, "name": "cassandra" }, { "id": 1209, "name": "chevron" }, { "id": 1237, "name": "defusedxml" }, { "id": 1377, "name": "zmq" }, { "id": 1558, "name": "pika" }, { "id": 3120, "name": "zeroconf" }, { "id": 5721, "name": "batinfo" }, { "id": 5722, "name": "pycouchdb" }, { "id": 5723, "name": "bernhard" }, { "id": 5724, "name": "sparklines" }, { "id": 5725, "name": "pySMART" }, { "id": 5726, "name": "influxdb_client" }, { "id": 5727, "name": "pygal" }, { "id": 5728, "name": "pymdstat" }, { "id": 5729, "name": "potsdb" }, { "id": 5730, "name": "influxdb" }, { "id": 5731, "name": "graphitesend" } ], "last_checked_revision": "6e35ee035516389b2a40b710dcbd8774bc54aa31\n" }, { "id": 638, "url": "https://github.com/freemocap/freemocap", "description": "Free Motion Capture for Everyone \ud83d\udc80\u2728", "stars": 2878, "source_graph_repo_id": 52972466, "dependencies": [ { "id": 3, "name": "fastapi" }, { "id": 12, "name": "pandas" }, { "id": 13, "name": "pytest" }, { "id": 14, "name": "numpy" }, { "id": 18, "name": "setuptools" }, { "id": 19, "name": "requests" }, { "id": 34, "name": "uvicorn" }, { "id": 38, "name": "pydantic" }, { "id": 71, "name": "cv2" }, { "id": 96, "name": "rich" }, { "id": 115, "name": "packaging" }, { "id": 127, "name": "tqdm" }, { "id": 140, "name": "scipy" }, { "id": 334, "name": "bpy" }, { "id": 443, "name": "mediapipe" }, { "id": 640, "name": "numba" }, { "id": 689, "name": "src" }, { "id": 936, "name": "toml" }, { "id": 1435, "name": "sass" }, { "id": 1466, "name": "nox" }, { "id": 2825, "name": "PySide6" }, { "id": 5373, "name": "qtpy" }, { "id": 5547, "name": "qtconsole" }, { "id": 5732, "name": "skelly_synchronize" }, { "id": 5733, "name": "pyqtgraph" }, { "id": 5734, "name": "skelly_viewer" }, { "id": 5735, "name": "ajc27_freemocap_blender_addon" }, { "id": 5736, "name": "aniposelib" }, { "id": 5737, "name": "addon_utils" }, { "id": 5738, "name": "jon_scratch" }, { "id": 5739, "name": "skellyforge" }, { "id": 5740, "name": "skellycam" }, { "id": 5741, "name": "BlendArMocap" }, { "id": 5744, "name": "rerun" } ], "last_checked_revision": "7616f65d18dcf192f70f538027f712db5e73e37f\n" } ] }