awesome-fastapi-projects/repos_index.json

91160 lines
2.4 MiB

{
"repos": [
{
"id": 1,
"url": "https://github.com/jackfrued/Python-100-Days",
"description": "Python - 100\u5929\u4ece\u65b0\u624b\u5230\u5927\u5e08",
"stars": 142229,
"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": "4ea76ff92cc1e7148f9d694ec92d681e6b4b5b10\n"
},
{
"id": 2,
"url": "https://github.com/AUTOMATIC1111/stable-diffusion-webui",
"description": "Stable Diffusion web UI",
"stars": 109426,
"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": 4440,
"name": "lora_patches"
}
],
"last_checked_revision": "4afaaf8a020c1df457bcf7250cb1c7f609699fa7\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": 77989,
"source_graph_repo_id": 195830,
"dependencies": [
{
"id": 1,
"name": ""
},
{
"id": 19,
"name": "requests"
}
],
"last_checked_revision": "35c235c8fdd5834e9ad0093907d0b440b5749634\n"
},
{
"id": 4,
"url": "https://github.com/tiangolo/fastapi",
"description": "FastAPI framework, high performance, easy to learn, fast to code, ready for production",
"stars": 64685,
"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": "480620372a662aa9025c47410fbc90a255b2fc94\n"
},
{
"id": 5,
"url": "https://github.com/langchain-ai/langchain",
"description": "\u26a1 Building applications with LLMs through composability \u26a1",
"stars": 68511,
"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": 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": 206,
"name": "langchain"
},
{
"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": 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": 554,
"name": "vertexai"
},
{
"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": 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": 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": 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"
}
],
"last_checked_revision": "0fb5f857f95001aeeab9accaba17def2e0c6a723\n"
},
{
"id": 6,
"url": "https://github.com/nomic-ai/gpt4all",
"description": "gpt4all: open-source LLM chatbots that you can run anywhere",
"stars": 54660,
"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": 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": "c1809a23ba3918d732b478c0b57aba7f1b91d8c4\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": 45853,
"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": 96,
"name": "rich"
},
{
"id": 118,
"name": "gradio"
},
{
"id": 127,
"name": "tqdm"
},
{
"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": 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": "2199cd263cb19298ecd8e971dd4a12d71aa6b455\n"
},
{
"id": 8,
"url": "https://github.com/getsentry/sentry",
"description": "Developer-first error tracking and performance monitoring",
"stars": 35577,
"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": "d970105797d57622601b28a99771a4b9588efeba\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": 35708,
"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": "de1f5c386b41571597e20f07f10591d2fa36e7b7\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": 34503,
"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"
}
],
"last_checked_revision": "540754392af9f49e637b491009586a61c54e2268\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": 35636,
"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": 32922,
"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": 35282,
"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": 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": 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": 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": 1724,
"name": "fuzzywuzzy"
},
{
"id": 4622,
"name": "exllama_kernels"
},
{
"id": 4643,
"name": "colossal_eval"
},
{
"id": 4773,
"name": "torch_int"
},
{
"id": 4819,
"name": "lightllm"
},
{
"id": 4958,
"name": "t5x"
}
],
"last_checked_revision": "3c08f173480ddc11c61c8bfbe909d04ede9fdc2a\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": 31822,
"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": 28659,
"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": "40d3f2a0e5d5254437f5f4569deba95a2ae1fef1\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": 28658,
"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": 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": 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"
}
],
"last_checked_revision": "9dec6183c7cdd2e4ed573d8601eab8b0a7c55514\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": 29134,
"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": 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": 4588,
"name": "hdbscan"
},
{
"id": 4615,
"name": "torch_npu"
},
{
"id": 4616,
"name": "kaleido"
},
{
"id": 4635,
"name": "exllamav2"
}
],
"last_checked_revision": "9cfeb155e7a3ae78738d0569f101d0f5f9fdf1ca\n"
},
{
"id": 18,
"url": "https://github.com/reworkd/AgentGPT",
"description": "\ud83e\udd16 Assemble, configure, and deploy autonomous AI Agents in your browser.",
"stars": 27435,
"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": "c2084e4faa46ecd91621be17574ef9532668cbfc\n"
},
{
"id": 19,
"url": "https://github.com/docker/awesome-compose",
"description": "Awesome Docker Compose samples",
"stars": 26930,
"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/lightning",
"description": "Deep learning framework to train, deploy, and ship AI products Lightning fast.",
"stars": 25147,
"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"
}
],
"last_checked_revision": "4e72dcc8db6a0cbe94042ddbc310340556e8fee7\n"
},
{
"id": 21,
"url": "https://github.com/freqtrade/freqtrade",
"description": "Free, open source crypto trading bot",
"stars": 23403,
"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"
}
],
"last_checked_revision": "835cb5487661724d770398d85bc164bc0bb1966f\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": 23507,
"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": "aca54db88ccf132702749350141f7cf6474584e5\n"
},
{
"id": 23,
"url": "https://github.com/StanGirard/quivr",
"description": " \ud83e\udde0 Your supercharged Second Brain \ud83e\udde0 Your personal productivity assistant to chat with your dumped files (PDF, CSV) & apps using GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, LLMs that you can share with users ! Alternative to OpenAI GPTs ",
"stars": 24223,
"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": 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"
}
],
"last_checked_revision": "efe4e8ccb01d4061c02744438208e76958c9f733\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": 20050,
"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": "b3459b117fe889f30611c7b556757b7d09654b4e\n"
},
{
"id": 25,
"url": "https://github.com/jina-ai/jina",
"description": "\u2601\ufe0f Build multimodal AI applications with cloud-native stack",
"stars": 19336,
"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": "dbe8a94073d2ff585e52a35b731de97e1b0d7989\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": 19480,
"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"
}
],
"last_checked_revision": "d756c9b10a7fc0f1ced259eda94cedbb2adcc43b\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": 18177,
"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"
}
],
"last_checked_revision": "195f27de1f46c4af015b07160290c502be6e3262\n"
},
{
"id": 28,
"url": "https://github.com/astral-sh/ruff",
"description": "An extremely fast Python linter and code formatter, written in Rust.",
"stars": 20238,
"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": 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": 620,
"name": "networkx"
},
{
"id": 643,
"name": "Crypto"
},
{
"id": 650,
"name": "backports"
},
{
"id": 1196,
"name": "mako"
},
{
"id": 1208,
"name": "y"
},
{
"id": 1259,
"name": "Cryptodome"
},
{
"id": 1378,
"name": "msgspec"
},
{
"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"
}
],
"last_checked_revision": "a7fc785cc5201bcdd81e795c40078f566e9ce30c\n"
},
{
"id": 29,
"url": "https://github.com/mlflow/mlflow",
"description": "Open source platform for the machine learning lifecycle",
"stars": 15827,
"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": "bb4290ab205eb62fbb3ac87438844fa7d0975122\n"
},
{
"id": 30,
"url": "https://github.com/microsoft/unilm",
"description": "Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities",
"stars": 16280,
"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": 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": 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": "f11c732f8522c0645a2631e35d1801e3a3c16ea5\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. M\u00e1s de 30 clases, 25 horas en v\u00eddeo, c\u00f3digo y grupo de chat. Desde sus fundamentos hasta la creaci\u00f3n de un API Backend con base de datos y m\u00e1s...",
"stars": 17123,
"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": "0221eb8fd30110f36b44744d5c2a63a3625733d1\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": 15213,
"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": "71c7b72116f8c7627453eef410db9aec1f7514a4\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": 15281,
"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": "0cd8165b13ad5bb05fbb2b075e7f658075b7142b\n"
},
{
"id": 34,
"url": "https://github.com/fauxpilot/fauxpilot",
"description": "FauxPilot - an open-source alternative to GitHub Copilot server",
"stars": 13466,
"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": 13478,
"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"
}
],
"last_checked_revision": "bd2236b842de98fc23476990748750d45db06675\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": 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": 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": "85bc5519a4202e3790fe10108ec36a4daed41269\n"
},
{
"id": 37,
"url": "https://github.com/Mikubill/sd-webui-controlnet",
"description": "WebUI extension for ControlNet",
"stars": 13760,
"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": 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": "c1f3d6f8505074d73b13eaf67f331bf869d7b940\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": 11949,
"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": "d4e7a30b755b2d314f89181fcc42624a1224b9ae\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": 11813,
"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": "d0e9aed7b0a4fa7e8555da2b5786be5018af654f\n"
},
{
"id": 40,
"url": "https://github.com/OpenLMLab/MOSS",
"description": "An open-source tool-augmented conversational language model from Fudan University",
"stars": 11612,
"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": 13862,
"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": "31910dd248b9217b85c50cc63e70c2f6527da877\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": 13295,
"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": 224,
"name": "google"
},
{
"id": 236,
"name": "sqlmodel"
},
{
"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"
}
],
"last_checked_revision": "384fb84950b5361f147aafd8317e03ec02ae067f\n"
},
{
"id": 43,
"url": "https://github.com/jaakkopasanen/AutoEq",
"description": "Automatic headphone equalization from frequency responses",
"stars": 11823,
"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": "0fad4b2ce4b3ceb97f0086c3a0940b4c2473c1f3\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": 12961,
"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": 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": "a613785a3ba38fac098393fd3e2dc088b4396bb8\n"
},
{
"id": 45,
"url": "https://github.com/vercel/vercel",
"description": "Develop. Preview. Ship.",
"stars": 11471,
"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": "6f3ae1a0edb89c5e263bcff17b8fb1d72660acd8\n"
},
{
"id": 46,
"url": "https://github.com/reflex-dev/reflex",
"description": "\ud83d\udd78 Web apps in pure Python \ud83d\udc0d",
"stars": 14036,
"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": 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"
}
],
"last_checked_revision": "9ec0119e9e2fb5832500a3f1ef9a735aff72ef09\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": 14204,
"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": 12517,
"source_graph_repo_id": 41447777,
"dependencies": [
{
"id": 3,
"name": "fastapi"
},
{
"id": 29,
"name": "aiohttp"
}
],
"last_checked_revision": "4658ffae6ca94f4e56b6821b2a14e6f2ad287bc3\n"
},
{
"id": 49,
"url": "https://github.com/tiangolo/sqlmodel",
"description": "SQL databases in Python, designed for simplicity, compatibility, and robustness.",
"stars": 11253,
"source_graph_repo_id": 55636527,
"dependencies": [
{
"id": 1,
"name": ""
},
{
"id": 3,
"name": "fastapi"
},
{
"id": 9,
"name": "typing_extensions"
},
{
"id": 13,
"name": "pytest"
},
{
"id": 38,
"name": "pydantic"
},
{
"id": 68,
"name": "sqlalchemy"
},
{
"id": 73,
"name": "jinja2"
},
{
"id": 207,
"name": "black"
}
],
"last_checked_revision": "77c6fed305962b8ffd8e9277bc601efdcd499973\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": 11598,
"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": 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": 2032,
"name": "markdown_it"
},
{
"id": 2331,
"name": "pypdf"
},
{
"id": 4938,
"name": "mdit_plain"
}
],
"last_checked_revision": "9b11462bf886ef0c39e282d5378503d4ede1a7ba\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": 10524,
"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": 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": 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"
}
],
"last_checked_revision": "637fa55570356cf262e187f7c55ec3c1f9b70db7\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": 12606,
"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": "a35551906a81907431d0200bd5c92ddcf4e9d3c0\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": 10117,
"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": 468,
"name": "onnx"
},
{
"id": 4782,
"name": "predibase"
}
],
"last_checked_revision": "8c47c3cb16a972e0c27818a2124a3e0359142ca0\n"
},
{
"id": 54,
"url": "https://github.com/laramies/theHarvester",
"description": "E-mails, subdomains and names Harvester - OSINT ",
"stars": 9453,
"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": "e00f4651cf69a08fec4847086cce1cdb65ebdaea\n"
},
{
"id": 55,
"url": "https://github.com/OpenMined/PySyft",
"description": "Perform data science on data that remains in someone else's server",
"stars": 9001,
"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": 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": 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": 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": "4b42d4f7ccaba533acc2cde0bd5d00e7fbded8fa\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": 9024,
"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": 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": 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": 468,
"name": "onnx"
},
{
"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"
}
],
"last_checked_revision": "720198bc25bc68b25a77c3c5a1e7f55ee1bd8e5a\n"
},
{
"id": 57,
"url": "https://github.com/messense/aliyundrive-webdav",
"description": "\u963f\u91cc\u4e91\u76d8 WebDAV \u670d\u52a1",
"stars": 8870,
"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": "0cf4406d10c4890b5b662287a6ea2dcbce4acafb\n"
},
{
"id": 58,
"url": "https://github.com/grafana/pyroscope",
"description": "Continuous Profiling Platform. Debug performance issues down to a single line of code",
"stars": 8753,
"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": "d87e810e0607c61933b3bf71c8fde5b769a9f667\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": 9080,
"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": "1dc67f96e0d083adb291589cecb28c9181914a07\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": 8056,
"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": 7963,
"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": 9500,
"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": 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": "c64cdc94e5dab70e272f93b22265e8a039b4b83d\n"
},
{
"id": 63,
"url": "https://github.com/openreplay/openreplay",
"description": "OpenReplay is developer-friendly, self-hosted session replay.",
"stars": 8152,
"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"
}
],
"last_checked_revision": "2269b3a3ea2413d52b2d69ad09c7d7842075a2e5\n"
},
{
"id": 64,
"url": "https://github.com/pycaret/pycaret",
"description": "An open-source, low-code machine learning library in Python",
"stars": 7920,
"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": "8ca8ddf02036a62b85242f91d04f1264be41f056\n"
},
{
"id": 65,
"url": "https://github.com/Sygil-Dev/Sygil-WebUI",
"description": "Stable Diffusion web UI",
"stars": 7687,
"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": "91a4eba30c8ad8899bccb4a1e4642adfbcc9af13\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": 8136,
"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": "6489cd785d84867cf4472b73d83b4815b8ee1cbf\n"
},
{
"id": 67,
"url": "https://github.com/jupyterhub/jupyterhub",
"description": "Multi-user server for Jupyter notebooks",
"stars": 7405,
"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": "29bb4b80329636b3a8aba22c9d0401dbca5be3cb\n"
},
{
"id": 68,
"url": "https://github.com/brycedrennan/imaginAIry",
"description": "AI imagined images. Pythonic generation of images.",
"stars": 7408,
"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": 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"
}
],
"last_checked_revision": "6cd519cdb291a1760fa064d978ada9c6c4a7c18b\n"
},
{
"id": 69,
"url": "https://github.com/TechEmpower/FrameworkBenchmarks",
"description": "Source for the TechEmpower Framework Benchmarks project",
"stars": 7183,
"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": "9269b712a308eb2ee37aac90ceb2ba6c8f80ce24\n"
},
{
"id": 70,
"url": "https://github.com/mailcow/mailcow-dockerized",
"description": "mailcow: dockerized - \ud83d\udc2e + \ud83d\udc0b = \ud83d\udc95",
"stars": 7190,
"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"
}
],
"last_checked_revision": "a366494c3492157947b494d89c7839bfd1c8f09e\n"
},
{
"id": 71,
"url": "https://github.com/the-benchmarker/web-frameworks",
"description": "Which is the fastest web framework?",
"stars": 6784,
"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": "baef41aea11c68d219f345c808ff5e3fb5ba068a\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": 6932,
"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": "0b9a9675e65cbca170739befc18ee8080902c67b\n"
},
{
"id": 73,
"url": "https://github.com/reactive-python/reactpy",
"description": "It's React, but in Python",
"stars": 7247,
"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"
}
],
"last_checked_revision": "701e462f6127dcfeac85c7440f19c8ef633b3299\n"
},
{
"id": 74,
"url": "https://github.com/codebasics/py",
"description": "Repository to store sample python programs for python learning",
"stars": 6418,
"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": 6539,
"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": 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"
}
],
"last_checked_revision": "7c3122aade6f8cf0aa6613fb84584ab96fea64ae\n"
},
{
"id": 76,
"url": "https://github.com/kingoflolz/mesh-transformer-jax",
"description": "Model parallel transformers in JAX and Haiku",
"stars": 6132,
"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": 8059,
"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": 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": 421,
"name": "dataclasses_json"
},
{
"id": 425,
"name": "fsspec"
},
{
"id": 455,
"name": "prettytable"
},
{
"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": 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": 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": 4000,
"name": "dashscope"
},
{
"id": 4330,
"name": "llama_cpp_cuda"
},
{
"id": 4433,
"name": "spatial"
},
{
"id": 4451,
"name": "zhipuai"
},
{
"id": 5203,
"name": "rocksdict"
}
],
"last_checked_revision": "1240352e54a8d2ce0b43206a99b74d4c29bb849e\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": 5980,
"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": 1354,
"name": "highlight_io"
},
{
"id": 1355,
"name": "brotli"
},
{
"id": 1356,
"name": "functions_framework"
},
{
"id": 1357,
"name": "blinker"
},
{
"id": 1872,
"name": "stripe"
}
],
"last_checked_revision": "b714aa24f6d724088128c8bacfab71c5f2328c2e\n"
},
{
"id": 79,
"url": "https://github.com/bentoml/BentoML",
"description": "Build Production-Grade AI Applications",
"stars": 5899,
"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"
}
],
"last_checked_revision": "acdd05bc4bd18c937283eacb7619a9e8b4653b20\n"
},
{
"id": 80,
"url": "https://github.com/agronholm/apscheduler",
"description": "Task scheduling library for Python",
"stars": 5369,
"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": 2328,
"name": "PyQt6"
},
{
"id": 2825,
"name": "PySide6"
}
],
"last_checked_revision": "d559e9d63fbf8cf67fbbbb13e90a54a4ef8b24f6\n"
},
{
"id": 81,
"url": "https://github.com/tensorflow/tpu",
"description": "Reference models and tools for Cloud TPUs.",
"stars": 5154,
"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": 5271,
"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": "0311e293516f48e97c9dcc0c505c28c09bd16a34\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": 5671,
"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": "1741d610232382d127a070d265276eda0c1c7ead\n"
},
{
"id": 84,
"url": "https://github.com/PaddlePaddle/PaddleClas",
"description": "A treasure chest for visual classification and recognition powered by PaddlePaddle",
"stars": 5076,
"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": "27b3591b36f5def1f8a385f9fadfbcd2e4741431\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 Automatic1111-sd-webui as a backend. ",
"stars": 5444,
"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": "75814b06be8920275cd5c6511208b464e4253f6e\n"
},
{
"id": 86,
"url": "https://github.com/zilliztech/gptcache",
"description": "Semantic cache for LLMs. Fully integrated with LangChain and llama_index. ",
"stars": 5572,
"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": "a9b94f4bcb0d3cea259f7c647d8ec76ef26ba913\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": 5113,
"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": "3341c641cca5ced863df49c442232f01f7f65ad1\n"
},
{
"id": 88,
"url": "https://github.com/jesse-ai/jesse",
"description": "An advanced crypto trading bot written in Python",
"stars": 4926,
"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": "7210580d53424dc06170e0d6e83c8c0b3bd89d02\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": 5141,
"source_graph_repo_id": 60655278,
"dependencies": [
{
"id": 2,
"name": "starlette"
},
{
"id": 3,
"name": "fastapi"
},
{
"id": 13,
"name": "pytest"
},
{
"id": 19,
"name": "requests"
},
{
"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": "c946efb1e0cbbe43b18220029d4a21cb19b27861\n"
},
{
"id": 90,
"url": "https://github.com/zauberzeug/nicegui",
"description": "Create web-based user interfaces with Python. The nice way.",
"stars": 5850,
"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": 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": "4e9f41e6dd04ed1ed7ae3467e8d5f419ccb356cd\n"
},
{
"id": 91,
"url": "https://github.com/feast-dev/feast",
"description": "Feature Store for Machine Learning",
"stars": 4906,
"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": "77d7eb0dd05bb8c408e79b2d9131f47e0df71136\n"
},
{
"id": 92,
"url": "https://github.com/refinedev/refine",
"description": "A React Framework for building internal tools, admin panels, dashboards & B2B apps with unmatched flexibilty.",
"stars": 16513,
"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": 5422,
"source_graph_repo_id": 61347997,
"dependencies": [
{
"id": 2,
"name": "starlette"
},
{
"id": 3,
"name": "fastapi"
},
{
"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": 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": 574,
"name": "websockets"
},
{
"id": 648,
"name": "pyaudio"
},
{
"id": 698,
"name": "pydub"
},
{
"id": 1429,
"name": "aioconsole"
},
{
"id": 1500,
"name": "readerwriterlock"
},
{
"id": 1629,
"name": "faster_whisper"
},
{
"id": 1730,
"name": "firebase_admin"
},
{
"id": 1748,
"name": "speech_recognition"
},
{
"id": 3755,
"name": "simpleaudio"
},
{
"id": 4037,
"name": "multion"
}
],
"last_checked_revision": "57b6ce863090902b468eca2e095b8abcfc563a4a\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": 6917,
"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": 10297,
"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": "414cebd318daf563e624ac5d5e02835d40573cb2\n"
},
{
"id": 96,
"url": "https://github.com/zhanymkanov/fastapi-best-practices",
"description": "FastAPI Best Practices and Conventions we used at our startup",
"stars": 5404,
"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": 4477,
"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": 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": 1159,
"name": "projects"
},
{
"id": 1262,
"name": "flask_sqlalchemy"
},
{
"id": 1284,
"name": "OpenSSL"
},
{
"id": 1346,
"name": "PyQt5"
},
{
"id": 1430,
"name": "parse"
},
{
"id": 1474,
"name": "wtforms"
},
{
"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": 4439,
"name": "pages"
},
{
"id": 4595,
"name": "fibmodule"
},
{
"id": 5080,
"name": "dmd_app"
},
{
"id": 5198,
"name": "rplife"
}
],
"last_checked_revision": "b838b47f2f651a41d6b0b18a457d05fe9ec1cb65\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": 4154,
"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": 4349,
"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": "b96f418d66373fe9e2c6a71a11c43c6f27ea9c70\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": 4285,
"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": "22827d9d3dc01b0956ae3c7e3655a67e0e4fa99a\n"
},
{
"id": 101,
"url": "https://github.com/pywebio/PyWebIO",
"description": "Write interactive web app in script way.",
"stars": 4116,
"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": "65699d978d43b02fdce8a02879553e068a48f04a\n"
},
{
"id": 102,
"url": "https://github.com/elastic/elasticsearch-py",
"description": "Official Python client for Elasticsearch",
"stars": 4047,
"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": "f0374b4b6eded41faef46e63e8dacf116c8a1026\n"
},
{
"id": 103,
"url": "https://github.com/EstrellaXD/Auto_Bangumi",
"description": "AutoBangumi - \u5168\u81ea\u52a8\u8ffd\u756a\u5de5\u5177",
"stars": 4909,
"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": "550bb4e6717ce5d961e2bd764c08367a1b11dd27\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": 4028,
"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": "eea8c61699d8e53f13dfc407b83f07e81cb9d5b1\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": 4796,
"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": 4027,
"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": "3a150996fb4dc338535f008df5aa56a5990cc2df\n"
},
{
"id": 107,
"url": "https://github.com/graviraja/MLOps-Basics",
"description": "",
"stars": 3831,
"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": 3935,
"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": "0ec208b652b0d4dd03bd1fab7ae94cdafa58b8b7\n"
},
{
"id": 109,
"url": "https://github.com/h2oai/wave",
"description": "Realtime Web Apps and Dashboards for Python and R",
"stars": 3731,
"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": "9897c98ed2d55eab7192680d51e80399fab67dd8\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": "ffe59087af8416c4b2dd28419a359938d706b332\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": 4704,
"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": "f7c4020489593523cb656139819303c387ec97d7\n"
},
{
"id": 112,
"url": "https://github.com/prometheus/client_python",
"description": "Prometheus instrumentation library for Python applications",
"stars": 3602,
"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": "d8306b7b39ed814f3ec667a7901df249cee8a956\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": 3949,
"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": "25898496828a04d5a384ffd33b2cb79560978a76\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": 3647,
"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": "994ee6387642abcfe6f62977097cc8ad91a6e77e\n"
},
{
"id": 115,
"url": "https://github.com/strawberry-graphql/strawberry",
"description": "A GraphQL library for Python that leverages type annotations \ud83c\udf53",
"stars": 3522,
"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": "edebcb31dc75e85fbfa34fa66c71c1bbba78a688\n"
},
{
"id": 116,
"url": "https://github.com/polyaxon/polyaxon",
"description": "MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle",
"stars": 3411,
"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": 3558,
"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": 3462,
"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": "a27d11356caf8d2cac399a0a031259361fcca43d\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": 3443,
"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": "36f7a4042c4edf1b573ab973e888f54d7cd09a7c\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": 5642,
"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"
}
],
"last_checked_revision": "70f337324652ea8b35f519fb87cd0a20e16cf374\n"
},
{
"id": 121,
"url": "https://github.com/marqo-ai/marqo",
"description": "Vector search for humans. Also available on cloud - cloud.marqo.ai",
"stars": 3729,
"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": "f96f9537c828109fe2932347cbd4bbe008121095\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": 3588,
"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": 3997,
"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": "a875a649109ad7c3d68d7e9b75508f687e627ca4\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": 3938,
"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": 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": "68ac1e0193cef4e7c12b4025125756c6dd14f699\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": 3565,
"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": "f4429a009ee533b76e8757dce6917fbf0b0408f9\n"
},
{
"id": 126,
"url": "https://github.com/fastapi-users/fastapi-users",
"description": "Ready-to-use and customizable users management for FastAPI",
"stars": 3591,
"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": "ff9fae631cdae00ebc15f051e54728b3c8d11420\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": 4385,
"source_graph_repo_id": 60993144,
"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": 26,
"name": "dateutil"
},
{
"id": 31,
"name": "yaml"
},
{
"id": 34,
"name": "uvicorn"
},
{
"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": 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": 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"
}
],
"last_checked_revision": "ae72cd56f84130c60f248169b8a3eb73e542b6a9\n"
},
{
"id": 128,
"url": "https://github.com/dynaconf/dynaconf",
"description": "Configuration Management for Python \u2699",
"stars": 3298,
"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": "be2e5722bc64d939e753c64e76c14ce70fae92e8\n"
},
{
"id": 129,
"url": "https://github.com/PrefectHQ/marvin",
"description": "\u2728 Build AI interfaces that spark joy",
"stars": 3764,
"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": 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": 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": "1bbe61b95cbb0a29aefcb9d41708b553cc44aa5f\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": 3198,
"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 next-gen AI",
"stars": 3287,
"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": 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": 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": 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": 4811,
"name": "machineid"
}
],
"last_checked_revision": "a992408d9b59d24df156df9a49ef41b73a4c35f3\n"
},
{
"id": 132,
"url": "https://github.com/ets-labs/python-dependency-injector",
"description": "Dependency injection framework for Python",
"stars": 3312,
"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": 5988,
"source_graph_repo_id": 61455065,
"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": 86,
"name": "sse_starlette"
},
{
"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": 551,
"name": "deepspeed"
},
{
"id": 3090,
"name": "thefuzz"
}
],
"last_checked_revision": "981c89b2a95676a4f98e94218c192c095bed5364\n"
},
{
"id": 134,
"url": "https://github.com/bunkerity/bunkerweb",
"description": "\ud83d\udee1\ufe0f Make your web services secure by default !",
"stars": 3178,
"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": "e8803e346f0310e96d4107ab151942a1077338fb\n"
},
{
"id": 135,
"url": "https://github.com/holoviz/panel",
"description": "Panel: The powerful data exploration & web app framework for Python",
"stars": 3251,
"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"
}
],
"last_checked_revision": "7bfbf978248b8924d25460632af67cfc86ac737f\n"
},
{
"id": 136,
"url": "https://github.com/zenml-io/zenml",
"description": "ZenML \ud83d\ude4f: Build portable, production-ready MLOps pipelines. https://zenml.io.",
"stars": 3249,
"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": 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": "a9b634c7c14b4a6c7748c3576e38d5301fa0fc9b\n"
},
{
"id": 137,
"url": "https://github.com/Miksus/rocketry",
"description": "Modern scheduling library for Python",
"stars": 3009,
"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": 2914,
"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": "4d0895a82f9b9106c4f6c918889b4c1635c97e40\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": 2954,
"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": 5374,
"source_graph_repo_id": 61328184,
"dependencies": [
{
"id": 3,
"name": "fastapi"
},
{
"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": "d3c62cf591e6f0097bdb5f2819dfb49601ef0a4e\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": 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"
}
],
"last_checked_revision": "ae291aadbcc002a649cfceb3776aa95e79e03712\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": 3388,
"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": "308be3f9cfec5eb31218f63cc70b086c1a2b40ec\n"
},
{
"id": 143,
"url": "https://github.com/pantsbuild/pants",
"description": "The Pants Build System",
"stars": 2891,
"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": "40b7b07987e32ce72a254e0200e3ef6be782c285\n"
},
{
"id": 144,
"url": "https://github.com/continuedev/continue",
"description": "\u23e9 the open-source autopilot for software development\u2014bring the power of ChatGPT to VS Code and JetBrains",
"stars": 5075,
"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": 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": 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": "5b5d67c164d1997454a5f49f9c364df6ae1cc387\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": 3065,
"source_graph_repo_id": 57445002,
"dependencies": [
{
"id": 3,
"name": "fastapi"
},
{
"id": 292,
"name": "flask"
}
],
"last_checked_revision": "fa814c2e5860d3ed28117079063a360fb48cd9b3\n"
},
{
"id": 146,
"url": "https://github.com/alpa-projects/alpa",
"description": "Training and serving large-scale neural networks with auto parallelization.",
"stars": 2847,
"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": "824f2ffd5124d24935811bc738ed903796ab13ac\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": 6619,
"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": 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": 4311,
"name": "transformers_stream_generator"
},
{
"id": 4312,
"name": "llmtuner"
}
],
"last_checked_revision": "7b1aa6f63c79c0d9cb5249fdb0d6a5f9a04f36bd\n"
},
{
"id": 148,
"url": "https://github.com/python-gino/gino",
"description": "GINO Is Not ORM - a Python asyncio ORM on SQLAlchemy core.",
"stars": 2613,
"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": 2733,
"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": 2590,
"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": 2600,
"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": "a2ae781fbed755cec0c32fe085a48e99dd596597\n"
},
{
"id": 152,
"url": "https://github.com/juncongmoo/pyllama",
"description": "LLaMA: Open and Efficient Foundation Language Models",
"stars": 2678,
"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": 2777,
"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": "af0e5c02571495f69aec468dc2c501aa9b4af6b4\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": 3409,
"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": "3545c5ff42fe37f4511cc607cd8ec696f8e4381b\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": 2541,
"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": 2510,
"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": 2556,
"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"
}
],
"last_checked_revision": "522811f4b47e1c0f30fe13bb84c7625e349d0656\n"
},
{
"id": 159,
"url": "https://github.com/argilla-io/argilla",
"description": "\u2728Argilla: the open-source feedback platform for LLMs",
"stars": 2614,
"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": 154,
"name": "datasets"
},
{
"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": 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": "f2418f748ff002812915077a7d508c23ce0caeb4\n"
},
{
"id": 160,
"url": "https://github.com/continue-revolution/sd-webui-segment-anything",
"description": "Segment Anything for Stable Diffusion WebUI",
"stars": 2754,
"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": 2629,
"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": 2586,
"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": "8d5f574f49f91ae700b282a23716f6445aa44f7a\n"
},
{
"id": 163,
"url": "https://github.com/dosisod/refurb",
"description": "A tool for refurbishing and modernizing Python codebases",
"stars": 2401,
"source_graph_repo_id": 59229365,
"dependencies": [
{
"id": 3,
"name": "fastapi"
},
{
"id": 13,
"name": "pytest"
},
{
"id": 511,
"name": "mypy"
}
],
"last_checked_revision": "a25b5d6087bba1509f96654c583efcd7796452cd\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": 2394,
"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": "d2030738dbf7d39df43005398cc6fb1ae4a13aa2\n"
},
{
"id": 165,
"url": "https://github.com/moeakwak/chatgpt-web-share",
"description": "A fully-featured multi-user ChatGPT Web system, with Plus account or API as providers.",
"stars": 2757,
"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": "5ebac3dc4ff8e195d08d5f3addf735accc1b6cec\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": 2390,
"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": 2830,
"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": 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": "a20f40d0ff63727e583082ec9a14f333121ed402\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": 2328,
"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": "a2a41d728f974951a9853327a5db0b81e2035bfa\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": 2403,
"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 GPT Index and/or LangChain",
"stars": 2542,
"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": 22,
"name": "bs4"
},
{
"id": 29,
"name": "aiohttp"
},
{
"id": 31,
"name": "yaml"
},
{
"id": 37,
"name": "httpx"
},
{
"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": 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": 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": 266,
"name": "discord"
},
{
"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": 611,
"name": "fitz"
},
{
"id": 612,
"name": "pytesseract"
},
{
"id": 639,
"name": "whisper"
},
{
"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": 1730,
"name": "firebase_admin"
},
{
"id": 1762,
"name": "tweepy"
},
{
"id": 1763,
"name": "xlrd"
},
{
"id": 2028,
"name": "nbconvert"
},
{
"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": 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": 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"
}
],
"last_checked_revision": "c12883906b8ea0992cca3867fd4d4b2cbcd4a7b8\n"
},
{
"id": 171,
"url": "https://github.com/fluentpython/example-code-2e",
"description": "Example code for Fluent Python, 2nd edition (O'Reilly 2022) ",
"stars": 2360,
"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": 2356,
"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": 4178,
"name": "textract"
},
{
"id": 4179,
"name": "xturing"
}
],
"last_checked_revision": "55eda97e51e6b04c6796ae12104dd11cda362a47\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": 2234,
"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": "d80e0825b634a615173e03e363e481d80b625cf3\n"
},
{
"id": 174,
"url": "https://github.com/THUDM/CodeGeeX2",
"description": "CodeGeeX2: A More Powerful Multilingual Code Generation Model",
"stars": 4949,
"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 + 16K\u8d85\u957f\u4e0a\u4e0b\u6587\u6a21\u578b (Chinese LLaMA-2 & Alpaca-2 LLMs, including 16K long context models)",
"stars": 4847,
"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": "d7d62118f90962b0ce5b9c4b9a717f05b048e987\n"
},
{
"id": 176,
"url": "https://github.com/LCTT/TranslateProject",
"description": "Linux\u4e2d\u56fd\u7ffb\u8bd1\u9879\u76ee",
"stars": 2125,
"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": 3096,
"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": 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"
}
],
"last_checked_revision": "54a5da97f53c06bd7cc3ba66eb88685e7837e666\n"
},
{
"id": 178,
"url": "https://github.com/mirumee/ariadne",
"description": "Python library for implementing GraphQL servers using schema-first approach.",
"stars": 2082,
"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": "64f43cf0698476efb4990ac340c1bb5b95c710c9\n"
},
{
"id": 179,
"url": "https://github.com/carefree0910/carefree-creator",
"description": "AI magics meet Infinite draw board.",
"stars": 2078,
"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": "9c8163372cfbeacceb1130c189baf0a470d21317\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": 2239,
"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": 2202,
"source_graph_repo_id": 59782802,
"dependencies": [
{
"id": 2,
"name": "starlette"
},
{
"id": 3,
"name": "fastapi"
},
{
"id": 34,
"name": "uvicorn"
},
{
"id": 38,
"name": "pydantic"
},
{
"id": 1010,
"name": "tortoise"
},
{
"id": 1626,
"name": "aioboto3"
},
{
"id": 2550,
"name": "msal"
},
{
"id": 4074,
"name": "opendal"
},
{
"id": 4381,
"name": "office365"
}
],
"last_checked_revision": "c64d93f943972380a4564ec3c1db17dafd8146bb\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": 2318,
"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": "e645ead1eccc754fd6f13aad8606a0e6da51b1b5\n"
},
{
"id": 183,
"url": "https://github.com/codingforentrepreneurs/30-Days-of-Python",
"description": "Learn Python for the next 30 (or so) Days. ",
"stars": 2038,
"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": 2176,
"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": "2367b42d54cd9c09ee3715453e6a6afc38378285\n"
},
{
"id": 185,
"url": "https://github.com/deforum-art/sd-webui-deforum",
"description": "Deforum extension for AUTOMATIC1111's Stable Diffusion webui",
"stars": 2253,
"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": 2522,
"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": 18,
"name": "setuptools"
},
{
"id": 29,
"name": "aiohttp"
},
{
"id": 31,
"name": "yaml"
},
{
"id": 34,
"name": "uvicorn"
},
{
"id": 38,
"name": "pydantic"
},
{
"id": 57,
"name": "llama_index"
},
{
"id": 73,
"name": "jinja2"
},
{
"id": 127,
"name": "tqdm"
},
{
"id": 138,
"name": "nltk"
},
{
"id": 154,
"name": "datasets"
},
{
"id": 183,
"name": "openai"
},
{
"id": 206,
"name": "langchain"
},
{
"id": 246,
"name": "sentence_transformers"
},
{
"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"
}
],
"last_checked_revision": "aa07d889e9437dc687cd1c0acf51678ad435516e\n"
},
{
"id": 187,
"url": "https://github.com/Josh-XT/AGiXT",
"description": "AGiXT is a dynamic AI 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": 2161,
"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": "c64e2081b74073bf2802f2cdc19d90a1474e4dfa\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": 2127,
"source_graph_repo_id": 59329751,
"dependencies": [
{
"id": 3,
"name": "fastapi"
},
{
"id": 31,
"name": "yaml"
},
{
"id": 118,
"name": "gradio"
},
{
"id": 476,
"name": "modules"
}
],
"last_checked_revision": "58804796f00cbb3af791f7034f5b42a775eae535\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": 2009,
"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": 1870,
"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": 1908,
"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": 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": 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": "6c2956782ad3631da7fefe3f3afd0d4abe94099e\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": 1971,
"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": 1892,
"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": "fc23168de2573671063e3cb280284681f63ed04e\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": 1987,
"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": "136983e89859fd0477b4a437ed333142a6aa29a4\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": 1880,
"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": 2470,
"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": "425efeebba2390e3c10e969572510f961c42e61b\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": 1941,
"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": 2680,
"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": "04339539d1c41cb724dca53dd68e85a270d2e50d\n"
},
{
"id": 201,
"url": "https://github.com/kingyiusuen/image-to-latex",
"description": "Convert images of LaTex math equations into LaTex code.",
"stars": 1796,
"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": "abb146dccdefff86c06932f9437357cd6453772c\n"
},
{
"id": 203,
"url": "https://github.com/TigerResearch/TigerBot",
"description": "TigerBot: A multi-language multi-task LLM",
"stars": 1883,
"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": "a722b426f1b770f9c488f541a04d9ba4702d823d\n"
},
{
"id": 204,
"url": "https://github.com/vocodedev/vocode-python",
"description": "\ud83e\udd16 Build voice-based LLM agents. Modular + open source.",
"stars": 1817,
"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": "b0806e7169f9520a1edb3f68911d4df6c2c32814\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": 1601,
"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": 1678,
"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": 2487,
"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": 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": "121595ae96b17785fe02cb7c393307a4167d6b2e\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": 1690,
"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": "0fa0dbf62e9753368fddb7913c0c5245dd982585\n"
},
{
"id": 209,
"url": "https://github.com/getsentry/sentry-python",
"description": "The official Python SDK for Sentry.io",
"stars": 1647,
"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": 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": 2672,
"name": "greenlet"
},
{
"id": 3615,
"name": "gql"
},
{
"id": 4697,
"name": "ariadne"
}
],
"last_checked_revision": "9bf6c1329471329454a65434c4566bef3fbb212c\n"
},
{
"id": 210,
"url": "https://github.com/d8ahazard/sd_dreambooth_extension",
"description": "",
"stars": 1665,
"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": "e9f8e4ee3548d76dffef03447783e6f0f1ebd707\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": 1577,
"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": 2029,
"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": 1617,
"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": "ad48891892215dcadb3e79597b006c4cd417ee89\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": 2573,
"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": 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": 4254,
"name": "dynaconf"
},
{
"id": 4255,
"name": "litellm"
},
{
"id": 4460,
"name": "pinecone_datasets"
}
],
"last_checked_revision": "14a934b146ebd3ea2fd859d61c468e7152ee865d\n"
},
{
"id": 215,
"url": "https://github.com/stanfordnlp/dspy",
"description": "Stanford DSPy: The framework for programming with foundation models",
"stars": 4068,
"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": "4db56b5955edd24f4212ff0869e46898076dcba1\n"
},
{
"id": 216,
"url": "https://github.com/houseofsecrets/SdPaint",
"description": "Stable Diffusion Painting",
"stars": 1565,
"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": 1600,
"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": 1612,
"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": 1554,
"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": 1587,
"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": 1600,
"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": 1570,
"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": "d9aba65c63cf861a891d9a4c1abc125e2ff04b92\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": 1452,
"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": 1483,
"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": 1488,
"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": 1859,
"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": "627a7418bc873c31ed37bc0543f4c4629bb77e5f\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": 1660,
"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": 1477,
"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": "c5909ff64729c9fc5c892c5b1e521705d038f6d7\n"
},
{
"id": 229,
"url": "https://github.com/ycd/manage-fastapi",
"description": ":rocket: CLI tool for FastAPI. Generating new FastAPI projects & boilerplates made easy. ",
"stars": 1507,
"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": 1534,
"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": "174798f2e3305beef185fdb53ade182d5373cb43\n"
},
{
"id": 231,
"url": "https://github.com/roman-right/beanie",
"description": "Asynchronous Python ODM for MongoDB",
"stars": 1547,
"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": "6864b360ab724c07a51e52b563b140a06ed6f119\n"
},
{
"id": 232,
"url": "https://github.com/linode/docs",
"description": "Linode guides and tutorials.",
"stars": 1367,
"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": "b44db797f7573be3e966bdae18193100b7b0fdbe\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": 1460,
"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": 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": "a43f264aa95c7a358563e8ce77693150ca4d68b3\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": 1564,
"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": 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": 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"
}
],
"last_checked_revision": "b9495fcb34c79ed6197a7f0eab07f6642830c01c\n"
},
{
"id": 236,
"url": "https://github.com/keephq/keep",
"description": "The open-source alerts management and automation platform",
"stars": 2337,
"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": 98,
"name": "pytz"
},
{
"id": 206,
"name": "langchain"
},
{
"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": 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": 4699,
"name": "asteval"
}
],
"last_checked_revision": "99d960b98985091bf76d6b5d0905bce910955ed4\n"
},
{
"id": 237,
"url": "https://github.com/etesync/server",
"description": "The Etebase server (so you can run your own)",
"stars": 1392,
"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": 1367,
"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": 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"
}
],
"last_checked_revision": "c5a164c26ffa29ae1bc3803708a485b8557207b4\n"
},
{
"id": 239,
"url": "https://github.com/googlecreativelab/teachablemachine-community",
"description": "Example code snippets and machine learning code for Teachable Machine",
"stars": 1350,
"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": 2271,
"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": 3068,
"name": "codecarbon"
},
{
"id": 3069,
"name": "autotrain"
},
{
"id": 3070,
"name": "trl"
}
],
"last_checked_revision": "22944c0cbb1c5e0f0929407438e8a6ae34fe9ed2\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": 1294,
"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": 1273,
"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": 1337,
"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": "336a65e7bec6f3c16dd509c01e4325950c4f5829\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": 1376,
"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"
}
],
"last_checked_revision": "6d50d6836a631fe29e43c5223e53366d65d8eaa9\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": 1559,
"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": 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": 532,
"name": "intel_extension_for_pytorch"
},
{
"id": 533,
"name": "optuna"
},
{
"id": 534,
"name": "torch_xla"
},
{
"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"
}
],
"last_checked_revision": "5179da10dd6540660f320206723e2651b4d6a292\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": 1446,
"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": "ff819ce18f4f386f06710207614fc8ea64b7ec16\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": 1345,
"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": 1269,
"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": "6735d6be708776bfc76aa4f26751e7f95ccf3481\n"
},
{
"id": 249,
"url": "https://github.com/thygate/stable-diffusion-webui-depthmap-script",
"description": "High Resolution Depth Maps for Stable Diffusion WebUI",
"stars": 1353,
"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": "b8120b41a9223796ba42393c0c07ba90870cddd0\n"
},
{
"id": 250,
"url": "https://github.com/alibaba/havenask",
"description": "",
"stars": 1289,
"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"
}
],
"last_checked_revision": "474decd9cbade25a1c898453407b3b988e54733a\n"
},
{
"id": 251,
"url": "https://github.com/awtkns/fastapi-crudrouter",
"description": "A dynamic FastAPI router that automatically creates CRUD routes for your models",
"stars": 1228,
"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": 1419,
"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": "b5f8ef31f28a0e2f9561a96d1d772f9c64a9a24a\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": 1499,
"source_graph_repo_id": 60474329,
"dependencies": [
{
"id": 3,
"name": "fastapi"
},
{
"id": 476,
"name": "modules"
}
],
"last_checked_revision": "2daeaa377254b6588bb7c7423591f1e745186560\n"
},
{
"id": 254,
"url": "https://github.com/galaxyproject/galaxy",
"description": "Data intensive science for everyone.",
"stars": 1194,
"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": "257c2bb52c634d7de324e336f0993fbd05e7d042\n"
},
{
"id": 255,
"url": "https://github.com/aminalaee/sqladmin",
"description": "SQLAlchemy Admin for FastAPI and Starlette",
"stars": 1296,
"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": "6452d508301f238944f2a31016dac28b31615757\n"
},
{
"id": 256,
"url": "https://github.com/explosion/projects",
"description": "\ud83e\ude90 End-to-end NLP workflows from prototype to production",
"stars": 1183,
"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": "782da3ac2836a7763b3b6edfb03407464f52c79a\n"
},
{
"id": 257,
"url": "https://github.com/pluralsh/plural",
"description": "Deploy open source software on Kubernetes in record time. \ud83d\ude80",
"stars": 1218,
"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": "d7d3250f78702d72a2b2f083915704a1d04bbedd\n"
},
{
"id": 258,
"url": "https://github.com/hasura/learn-graphql",
"description": "Real world GraphQL tutorials for frontend developers with deadlines!",
"stars": 1149,
"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": "f5c6a83e5c8acc7c55f009195cd810e8d39b1227\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": 1398,
"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": "f67717998728461cda79b7b15469eab136216bbc\n"
},
{
"id": 260,
"url": "https://github.com/huggingface/huggingface_hub",
"description": "All the open source things related to the Hugging Face Hub.",
"stars": 1315,
"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": 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": "ef846d759f0aee9d586ecdffaa09c49ae0807e9c\n"
},
{
"id": 261,
"url": "https://github.com/Checkmk/checkmk",
"description": "Checkmk - Best-in-class infrastructure & application monitoring",
"stars": 1169,
"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"
}
],
"last_checked_revision": "91e2ead1ac8d78f7580dc2d3da6cbfd327aa4433\n"
},
{
"id": 262,
"url": "https://github.com/Gozargah/Marzban",
"description": "Unified GUI Censorship Resistant Solution Powered by Xray",
"stars": 1579,
"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": 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": 1862,
"name": "qrcode"
},
{
"id": 3965,
"name": "telebot"
},
{
"id": 3970,
"name": "rpyc"
},
{
"id": 3971,
"name": "fastapi_responses"
}
],
"last_checked_revision": "c7762548c432f9791959be54ab386f3b45cafce0\n"
},
{
"id": 263,
"url": "https://github.com/piccolo-orm/piccolo",
"description": "A fast, user friendly ORM and query builder which supports asyncio.",
"stars": 1163,
"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": "5f972d0a7af45aeb3b18fc02f61b8c913f03b118\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": 1104,
"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": "b864668b3e21d23362bf20cdaecceb8f857f3747\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": 1158,
"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": 1073,
"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": "6481c9774eb95fe7d297e8b64f5fb909955cb5bc\n"
},
{
"id": 267,
"url": "https://github.com/tsileo/microblog.pub",
"description": "A self-hosted, single-user, ActivityPub powered microblog.",
"stars": 1055,
"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/kabachuha/sd-webui-text2video",
"description": "Auto1111 extension implementing text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies",
"stars": 1143,
"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": "01e41fd454c011b479c271cee33e5b5a90076ffd\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": 1048,
"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": 1276,
"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": 1079,
"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": 4636,
"name": "soxr"
}
],
"last_checked_revision": "86123f2a0b1c21b813ccc0e81d1e0de22e00fb08\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": 1043,
"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": 1261,
"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": 73,
"name": "jinja2"
},
{
"id": 77,
"name": "dotenv"
},
{
"id": 82,
"name": "PIL"
},
{
"id": 96,
"name": "rich"
},
{
"id": 106,
"name": "anyio"
},
{
"id": 161,
"name": "matplotlib"
},
{
"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": 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": 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": 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"
}
],
"last_checked_revision": "d74457328453603db80ba41a6f9c697a36024a4f\n"
},
{
"id": 274,
"url": "https://github.com/dapr/docs",
"description": "Dapr user documentation, used to build docs.dapr.io",
"stars": 981,
"source_graph_repo_id": 39365710,
"dependencies": [
{
"id": 2497,
"name": "dapr"
}
],
"last_checked_revision": "d6acd94807656bf6e88a9418610391c46cd3ad1f\n"
},
{
"id": 275,
"url": "https://github.com/dunossauro/live-de-python",
"description": "Reposit\u00f3rio das lives de python semanais",
"stars": 1024,
"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": "17a5bed129705c148ad2b676a7b80f8bf5995834\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": 1065,
"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": "9c71d3df1cb4e8b5b8266a296067348e24936e52\n"
},
{
"id": 277,
"url": "https://github.com/ddPn08/Radiata",
"description": "Stable diffusion webui based on diffusers.",
"stars": 969,
"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": 962,
"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": 1234,
"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": 956,
"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": "04d53046cabab6e8f5c636985308b1232a0b5487\n"
},
{
"id": 282,
"url": "https://github.com/UKPLab/EasyNMT",
"description": "Easy to use, state-of-the-art Neural Machine Translation for 100+ languages",
"stars": 948,
"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": "7c11ae80f59e680653efa23c45e0704928aa4bf2\n"
},
{
"id": 283,
"url": "https://github.com/carefree0910/carefree-drawboard",
"description": "\ud83c\udfa8 Infinite Drawboard in Python",
"stars": 920,
"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": 1196,
"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": "80a33d427fbe424cede64220ac188d1e987a3747\n"
},
{
"id": 285,
"url": "https://github.com/li-plus/chatglm.cpp",
"description": "C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & more LLMs",
"stars": 1585,
"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": 34,
"name": "uvicorn"
},
{
"id": 38,
"name": "pydantic"
},
{
"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": 4251,
"name": "modeling_chatglm"
},
{
"id": 4252,
"name": "convert"
},
{
"id": 4455,
"name": "modeling_baichuan"
},
{
"id": 4891,
"name": "modeling_internlm"
}
],
"last_checked_revision": "95d3b8c1730d646c1916701eaf4ce03fe98baa8c\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": 885,
"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": 1055,
"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": "6c4f09fd435a1d63b66012cf2e63d8ab2b73212d\n"
},
{
"id": 288,
"url": "https://github.com/Tongjilibo/bert4torch",
"description": "An elegent pytorch implement of transformers",
"stars": 949,
"source_graph_repo_id": 57556742,
"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": 59,
"name": "elasticsearch"
},
{
"id": 80,
"name": "tensorflow"
},
{
"id": 85,
"name": "tritonclient"
},
{
"id": 87,
"name": "tokenizers"
},
{
"id": 114,
"name": "xformers"
},
{
"id": 115,
"name": "packaging"
},
{
"id": 118,
"name": "gradio"
},
{
"id": 127,
"name": "tqdm"
},
{
"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": 189,
"name": "accelerate"
},
{
"id": 208,
"name": "mdtex2html"
},
{
"id": 246,
"name": "sentence_transformers"
},
{
"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": "ed3873b6ba743405dd3a08c83cc1f7777972ebb0\n"
},
{
"id": 289,
"url": "https://github.com/ViperX7/Alpaca-Turbo",
"description": "Web UI to run alpaca model locally",
"stars": 878,
"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": 898,
"source_graph_repo_id": 41753129,
"dependencies": [
{
"id": 2,
"name": "starlette"
},
{
"id": 3,
"name": "fastapi"
},
{
"id": 13,
"name": "pytest"
},
{
"id": 18,
"name": "setuptools"
},
{
"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": "970956bf1599c758f17527fc5591bc201824013b\n"
},
{
"id": 291,
"url": "https://github.com/ahmetoner/whisper-asr-webservice",
"description": "OpenAI Whisper ASR Webservice API",
"stars": 1101,
"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": "10d72486e47804e62ba91e808dd203ef9e2d276e\n"
},
{
"id": 292,
"url": "https://github.com/Eventual-Inc/Daft",
"description": "The Python DataFrame for Complex Data",
"stars": 927,
"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": 115,
"name": "packaging"
},
{
"id": 122,
"name": "psutil"
},
{
"id": 127,
"name": "tqdm"
},
{
"id": 135,
"name": "pkg_resources"
},
{
"id": 223,
"name": "botocore"
},
{
"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": "fd74cafc24bc5de835112f12a02959e5051e1d32\n"
},
{
"id": 293,
"url": "https://github.com/cheshire-cat-ai/core",
"description": "Production ready AI assistant framework",
"stars": 982,
"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": "0185e2435d78894a3f246d099f467099b64931a7\n"
},
{
"id": 294,
"url": "https://github.com/7eu7d7/DreamArtist-stable-diffusion",
"description": "stable diffusion webui with contrastive prompt tuning",
"stars": 861,
"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": 852,
"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": 1007,
"name": "motor"
},
{
"id": 1411,
"name": "async_asgi_testclient"
},
{
"id": 1427,
"name": "typing_utils"
}
],
"last_checked_revision": "a99a2588cde575279ca8955c6a4765425ec3b15d\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": 835,
"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": 850,
"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": 881,
"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": 68,
"name": "sqlalchemy"
},
{
"id": 73,
"name": "jinja2"
},
{
"id": 76,
"name": "click"
},
{
"id": 86,
"name": "sse_starlette"
},
{
"id": 115,
"name": "packaging"
},
{
"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"
}
],
"last_checked_revision": "d5ae1e3d6a32c7f39c6a31d8e6562f02e62d58bd\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": 842,
"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": 879,
"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 REST & JSON-RPC over io_uring and SIMDJSON \u260e\ufe0f",
"stars": 880,
"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": 904,
"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": "005bac9d11deae15f165ab016c6a5bcce6e4631d\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": 854,
"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": "201b24c0a36b90b7a18e775080df511f78abe8c9\n"
},
{
"id": 304,
"url": "https://github.com/uriyyo/fastapi-pagination",
"description": "FastAPI pagination \ud83d\udcd6 ",
"stars": 886,
"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": "85a2d30bb0565b379eea9fd4d7b93f7a843b99ea\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": 851,
"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"
}
],
"last_checked_revision": "60951482ea88132695b13a3ff2aa474a70ad2d24\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": 860,
"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": 821,
"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": 772,
"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": 873,
"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": "fe7517c84bb63fca13a79b99a855cf98afaf654f\n"
},
{
"id": 310,
"url": "https://github.com/kale5195/chilloutai",
"description": "AI \u56fe\u7247\u751f\u6210",
"stars": 791,
"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": 816,
"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": 778,
"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": 817,
"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": "openai function calls for humans",
"stars": 1923,
"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": 73,
"name": "jinja2"
},
{
"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": 1381,
"name": "modal"
},
{
"id": 1450,
"name": "datamodel_code_generator"
},
{
"id": 1892,
"name": "graphviz"
},
{
"id": 4253,
"name": "erdantic"
}
],
"last_checked_revision": "ab6f9996197989c5a5e7a2c795aac7a84db9c8d4\n"
},
{
"id": 315,
"url": "https://github.com/Niek/chatgpt-web",
"description": "ChatGPT web interface using the OpenAI API",
"stars": 1006,
"source_graph_repo_id": 60485932,
"dependencies": [
{
"id": 3,
"name": "fastapi"
},
{
"id": 1565,
"name": "lorem_text"
}
],
"last_checked_revision": "a73f4198b307d5a8186a41bfcc008c9ac29e9481\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": 803,
"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": "4454c055dc406b2005767678684c9dca8e3ce917\n"
},
{
"id": 317,
"url": "https://github.com/miguelgrinberg/microdot",
"description": "The impossibly small web framework for Python and MicroPython.",
"stars": 910,
"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"
}
],
"last_checked_revision": "7a329d98a8836e302109d21900288815be9fd3cf\n"
},
{
"id": 318,
"url": "https://github.com/laurolins/nanocube",
"description": "",
"stars": 728,
"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": 856,
"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": 38,
"name": "pydantic"
},
{
"id": 56,
"name": "redis"
},
{
"id": 77,
"name": "dotenv"
},
{
"id": 86,
"name": "sse_starlette"
},
{
"id": 183,
"name": "openai"
},
{
"id": 206,
"name": "langchain"
},
{
"id": 538,
"name": "pydantic_settings"
},
{
"id": 936,
"name": "toml"
},
{
"id": 1069,
"name": "gptcache"
}
],
"last_checked_revision": "3c67a516f2b7628aa5456e3f81ef3e1a0d00757e\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": 741,
"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": 784,
"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": 767,
"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": 692,
"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": 732,
"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": 691,
"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": 800,
"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": 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"
}
],
"last_checked_revision": "ca8cb0a6afbc661ead473949649cdb7cfe505b88\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": 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": 3677,
"name": "justext"
}
],
"last_checked_revision": "9e9ef8c36c3055bef728ef6662e720006f82be30\n"
},
{
"id": 330,
"url": "https://github.com/SAGIRI-kawaii/sagiri-bot",
"description": "\u57fa\u4e8eGraia Ariadne\u548cMirai\u7684QQ\u673a\u5668\u4eba SAGIRI-BOT",
"stars": 687,
"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": 693,
"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": 694,
"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": "23fcfc29306bcb128c12d0eb646b952e6b293bc4\n"
},
{
"id": 333,
"url": "https://github.com/rednafi/fastapi-nano",
"description": "\ud83d\udc0d Simple FastAPI template employing divisional architecture pattern",
"stars": 726,
"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": 699,
"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": 668,
"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": 680,
"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": 711,
"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": 2972,
"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": "d434c5a845491e40ff269a2a4cad60ec0b94b066\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": 820,
"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": 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": 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": "71a5402c6b68e2b012e7d0349b088d62910edb2b\n"
},
{
"id": 341,
"url": "https://github.com/google/turbinia",
"description": "Automation and Scaling of Digital Forensics Tools",
"stars": 682,
"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": 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": "514bf3343ac7dc8ef5ebc3bc526485271b4c47a4\n"
},
{
"id": 342,
"url": "https://github.com/PaddlePaddle/Knover",
"description": "Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle",
"stars": 668,
"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": 659,
"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": "432a3787154aba5e2a763700ce7f169bef3341b6\n"
},
{
"id": 344,
"url": "https://github.com/basetenlabs/truss",
"description": "The simplest way to serve AI/ML models in production",
"stars": 741,
"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": "3465408e9248f90950ff02146776f09bf78f9244\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": 695,
"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": 684,
"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": 657,
"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": 655,
"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": 703,
"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": 792,
"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": "36351ae3eaac27682d68a5cc2820cce7aa503097\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": 664,
"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": 650,
"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": 710,
"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": 722,
"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": 830,
"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": "02222ffc7718726b0cad0c93800c96a42a646d03\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": 645,
"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": 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": "b73ca2c62e1e5c43fc36837cb4ee77fa317d611b\n"
},
{
"id": 359,
"url": "https://github.com/ttttupup/wxhelper",
"description": "Hook WeChat / \u5fae\u4fe1\u9006\u5411",
"stars": 852,
"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": 926,
"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": "9953e2688003ea8f8f2082994428a5bf0b491038\n"
},
{
"id": 361,
"url": "https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg",
"description": "Removes backgrounds from pictures. Extension for webui.",
"stars": 783,
"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": "3d9eedbbf0d585207f97d5b21e42f32c0042df70\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": 657,
"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": 677,
"source_graph_repo_id": 60324882,
"dependencies": [
{
"id": 3,
"name": "fastapi"
},
{
"id": 38,
"name": "pydantic"
},
{
"id": 206,
"name": "langchain"
}
],
"last_checked_revision": "6158837d8a69b1c487651d4e6d1b52477710927b\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": 710,
"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": "247a0a87b7fb99fae65ccea9c62a44c5a68cb00a\n"
},
{
"id": 366,
"url": "https://github.com/PrettyPrinted/youtube_video_code",
"description": "The code for all the YouTube videos I publish on YouTube.",
"stars": 636,
"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": 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": "f54d17a65949b14632d4b36a24e15836d2d5055b\n"
},
{
"id": 367,
"url": "https://github.com/meta-soul/MetaSpore",
"description": "A unified end-to-end machine intelligence platform",
"stars": 616,
"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": 707,
"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"
}
],
"last_checked_revision": "d6f2e17aff4e2c3c2e084f0c9bb4345f403e4903\n"
},
{
"id": 369,
"url": "https://github.com/nnsvs/nnsvs",
"description": "Neural network-based singing voice synthesis library for research",
"stars": 627,
"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": 650,
"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": "6ade3395d532d0f55011f5e077db6bdbd1ffcadc\n"
},
{
"id": 372,
"url": "https://github.com/trallnag/prometheus-fastapi-instrumentator",
"description": "Instrument your FastAPI with Prometheus metrics.",
"stars": 670,
"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": 672,
"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": 629,
"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": 591,
"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": 739,
"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": 597,
"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": 626,
"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": 577,
"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": 603,
"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": "918997354704741237ced336833f8b54910d1fce\n"
},
{
"id": 381,
"url": "https://github.com/ClimenteA/flaskwebgui",
"description": "Create desktop applications with Flask/Django/FastAPI!",
"stars": 593,
"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": 607,
"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": "918d4e302670028023f484b4252f0bf0286c4bec\n"
},
{
"id": 383,
"url": "https://github.com/lyz-code/blue-book",
"description": "My personal knowledge repository",
"stars": 607,
"source_graph_repo_id": 40984405,
"dependencies": [],
"last_checked_revision": null
},
{
"id": 384,
"url": "https://github.com/eser/hayalet-sevgilim-sarki-sozleri",
"description": "",
"stars": 558,
"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": 582,
"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": 646,
"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": 590,
"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": "90dd7781a2b372d11cdbe1f2478ff7d95c5ca8d6\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": 560,
"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": 569,
"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": 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": 373,
"name": "tests"
},
{
"id": 946,
"name": "pytest_mock"
},
{
"id": 1047,
"name": "sqlalchemy_utils"
},
{
"id": 1210,
"name": "sendgrid"
},
{
"id": 1406,
"name": "httpx_oauth"
},
{
"id": 1412,
"name": "pytest_asyncio"
},
{
"id": 1437,
"name": "respx"
},
{
"id": 1541,
"name": "arq"
},
{
"id": 1683,
"name": "structlog"
},
{
"id": 1856,
"name": "citext"
},
{
"id": 1872,
"name": "stripe"
},
{
"id": 3937,
"name": "discord_webhook"
},
{
"id": 4240,
"name": "polar"
},
{
"id": 4241,
"name": "githubkit"
}
],
"last_checked_revision": "096fd326596cd0f17bd4c7ba5e06285cc3552850\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": 613,
"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": "0386ad5f822c87f4dcf629b6046074c4fc9afc4f\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": 551,
"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": 568,
"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": 542,
"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": 560,
"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": 659,
"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": "1325087d89e55bec857dde89bc972360dcea2348\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": 546,
"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": 536,
"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": 547,
"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": 547,
"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": 537,
"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": 621,
"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": "4888ecf231c05e45566c6d20db89a62106189cc9\n"
},
{
"id": 406,
"url": "https://github.com/anyscale/academy",
"description": "Ray tutorials from Anyscale",
"stars": 533,
"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": 562,
"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": "8448f98fe8b624dcb03a34ecebe6955d582375b6\n"
},
{
"id": 408,
"url": "https://github.com/MushroomMaula/fastapi_login",
"description": "FastAPI-Login tries to provide similar functionality as Flask-Login does.",
"stars": 535,
"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": "eb50ed4f528c28d15816166634d7ba3024484f84\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": "32ded0037a77b7fa25280889c62b47e53a6337d6\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": 582,
"source_graph_repo_id": 57235333,
"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": 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": 620,
"name": "networkx"
},
{
"id": 936,
"name": "toml"
},
{
"id": 955,
"name": "pydash"
},
{
"id": 963,
"name": "simplejson"
},
{
"id": 1047,
"name": "sqlalchemy_utils"
},
{
"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": "f2ad0f680e8c0ffc59ccd1e3a0c776e087192b33\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": 533,
"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": "3bff802766b4ca63a04c224e7717be581ce567f5\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": 1155,
"source_graph_repo_id": 61051108,
"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": 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": 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": 1004,
"name": "colorama"
},
{
"id": 1026,
"name": "jupyter_client"
}
],
"last_checked_revision": "d03697aea3091073f0bdf953eb05c4c0d47df745\n"
},
{
"id": 413,
"url": "https://github.com/OpenGenerativeAI/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": 658,
"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": 523,
"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": 567,
"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": "636beb5cbc246fc3392861f1c37d16b69d6be0a0\n"
},
{
"id": 416,
"url": "https://github.com/zjunlp/KnowLM",
"description": "An Open-sourced Knowledgable Large Language Model Framework.",
"stars": 738,
"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": "3918cd2c90dda223b7f6d7c386379c422e09839b\n"
},
{
"id": 417,
"url": "https://github.com/IndustryEssentials/ymir",
"description": "YMIR, a streamlined model development product.",
"stars": 522,
"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": 559,
"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 and NATS.",
"stars": 1194,
"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": 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": 538,
"name": "pydantic_settings"
},
{
"id": 539,
"name": "pydantic_core"
},
{
"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": 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": "45e524991d542abec652a97072161fd1bc4c841c\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": "fbc7555f8e02564ea4dab48096b9fc79cbeb548a\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": 525,
"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": "f34771618ca92299a26a9a72a2d31ebc6802a174\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": "50df287a9e1e0928187a25f6c7a75338d7600d58\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": 632,
"source_graph_repo_id": 60697926,
"dependencies": [
{
"id": 2,
"name": "starlette"
},
{
"id": 3,
"name": "fastapi"
},
{
"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": 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"
}
],
"last_checked_revision": "b31d33a1e25e9e6e541013e4fcf43bd73dc47e9a\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": 553,
"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": "82789c6a75c20f1432abaf29f9f6805a9ab9c974\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": 612,
"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": "b8ec263422e58393d5ec706fc9cc28ae515b4dc4\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": "12e1b37b093b860b68945a0ed3c8db6ca8bc760f\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": 1108,
"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": "08542df7234df8668f609c4de606c353b7a275c3\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": "071dc527dd129f66c6c42752c06e87e46b9a8467\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": 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": 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": 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": 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"
}
],
"last_checked_revision": "0c14b3a38a79634ec2703d789af60a9b6ba33a65\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": "928c60289dfe2bb291650fb4426a41216efc62d5\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": "29e758cff71a1affb7a18fc7899c064979773968\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": 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": 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": "84f6302d40ac719c635f5e7554b66ef6d4b7ec2b\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": 526,
"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": 38,
"name": "pydantic"
},
{
"id": 39,
"name": "streamlit"
},
{
"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": 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"
}
],
"last_checked_revision": "11b2af268d49a5f23bb6526c083b1a86d6417f39\n"
},
{
"id": 446,
"url": "https://github.com/stoyan-stoyanov/llmflows",
"description": "LLMFlows - Simple, Explicit and Transparent LLM Apps",
"stars": 528,
"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"
}
],
"last_checked_revision": "743a86245da157bff9296958acfa85645b377a0e\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": "e7042bfab103e005478225775f9a31d3ed64529e\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": 582,
"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": "8de7f929eb292aea4b2a326f5ecfc8feaf0dafbb\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": 701,
"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": 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": 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"
}
],
"last_checked_revision": "7468cd60cf2487687db126dee5d9e373bd0263eb\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": 555,
"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": 586,
"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"
}
],
"last_checked_revision": "de2d03096a6a58dbab09ff1a9c105415f3094dbc\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"
}
],
"last_checked_revision": "1af7a5d2888b6f933bd48a720756e6c55dcc9a4b\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": "05332cd007560615b4421b1567659ff9f9634088\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"
}
],
"last_checked_revision": "92f2b4e32035a35f5f2a4956fee443fe3061bc32\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": 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"
}
],
"last_checked_revision": "0cfec8f4b16e2f060164210729ab31832eb35639\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": 56,
"name": "redis"
},
{
"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"
}
],
"last_checked_revision": "cb25a594411cd4725df5fa15f893fac40168a48d\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": "350816e5e654ed57f9044c2c5013d1915b7b60a4\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": "da0fd472f401c221cb40e832cb3f7463623b59cc\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": 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": 273,
"name": "airflow"
},
{
"id": 1119,
"name": "bentoml"
},
{
"id": 1617,
"name": "pythonjsonlogger"
},
{
"id": 3697,
"name": "assignments"
},
{
"id": 3698,
"name": "efficientnet_pytorch"
}
],
"last_checked_revision": "d7c6fe20629cb46bc6318a0824bbc8e77babb3b4\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": 18209,
"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": 34,
"name": "uvicorn"
},
{
"id": 37,
"name": "httpx"
},
{
"id": 38,
"name": "pydantic"
},
{
"id": 39,
"name": "streamlit"
},
{
"id": 58,
"name": "pymilvus"
},
{
"id": 59,
"name": "elasticsearch"
},
{
"id": 68,
"name": "sqlalchemy"
},
{
"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": 5072,
"name": "strsimpy"
}
],
"last_checked_revision": "4ed8f049ab67a734e47bd3b42ad0666b921f3c6b\n"
},
{
"id": 491,
"url": "https://github.com/sweepai/sweep",
"description": "Sweep: AI-powered Junior Developer for small features and bug fixes.",
"stars": 5762,
"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": 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": 632,
"name": "posthog"
},
{
"id": 633,
"name": "rapidfuzz"
},
{
"id": 689,
"name": "src"
},
{
"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": "e522d5d5f01b5f326637dbb0235b08a1c5b76f65\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": 1621,
"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": 2733,
"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": "9a16e72823f6b6b96be1cb874570048a34885831\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": 1702,
"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": "340a2d63ceaabd71ba73ccfcee85b4279e8ab1b0\n"
},
{
"id": 495,
"url": "https://github.com/dot-agent/openagent",
"description": "Microservices approach to AGI. Modular components for AI apps or AGI agents. (... and solving some wicked LLM problems like \u26a1 2X faster LLaMA 2)",
"stars": 1324,
"source_graph_repo_id": 61488355,
"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": 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": 50,
"name": "tiktoken"
},
{
"id": 51,
"name": "qdrant_client"
},
{
"id": 57,
"name": "llama_index"
},
{
"id": 58,
"name": "pymilvus"
},
{
"id": 59,
"name": "elasticsearch"
},
{
"id": 62,
"name": "app"
},
{
"id": 68,
"name": "sqlalchemy"
},
{
"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": 127,
"name": "tqdm"
},
{
"id": 135,
"name": "pkg_resources"
},
{
"id": 138,
"name": "nltk"
},
{
"id": 154,
"name": "datasets"
},
{
"id": 161,
"name": "matplotlib"
},
{
"id": 183,
"name": "openai"
},
{
"id": 185,
"name": "huggingface_hub"
},
{
"id": 206,
"name": "langchain"
},
{
"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": 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": 292,
"name": "flask"
},
{
"id": 408,
"name": "socketio"
},
{
"id": 421,
"name": "dataclasses_json"
},
{
"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": 574,
"name": "websockets"
},
{
"id": 583,
"name": "__main__"
},
{
"id": 611,
"name": "fitz"
},
{
"id": 612,
"name": "pytesseract"
},
{
"id": 613,
"name": "platformdirs"
},
{
"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": 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": 1488,
"name": "nest_asyncio"
},
{
"id": 1629,
"name": "faster_whisper"
},
{
"id": 1730,
"name": "firebase_admin"
},
{
"id": 1748,
"name": "speech_recognition"
},
{
"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": 2720,
"name": "deeplake"
},
{
"id": 2939,
"name": "pdfminer"
},
{
"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": 4313,
"name": "scholarly"
},
{
"id": 4368,
"name": "creds"
},
{
"id": 4369,
"name": "gui"
},
{
"id": 4370,
"name": "llama_hub"
}
],
"last_checked_revision": "ef2a71472832a3e4b82a81183334c20057f86bde\n"
},
{
"id": 496,
"url": "https://github.com/filip-michalsky/SalesGPT",
"description": "Context-aware AI Sales Agent to automate sales outreach.",
"stars": 1193,
"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": "80dc70d4a56f6eeba531eecd6cd219b00ed5223f\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": 7236,
"source_graph_repo_id": 58078411,
"dependencies": [
{
"id": 2,
"name": "starlette"
},
{
"id": 3,
"name": "fastapi"
},
{
"id": 9,
"name": "typing_extensions"
},
{
"id": 13,
"name": "pytest"
},
{
"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": "4ff25a07f7f8a11668534b87bc06311014f6392d\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": 6833,
"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": "0a2b588c5716f26f1e37affa308283354b3612be\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": 4155,
"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": 155,
"name": "six"
},
{
"id": 224,
"name": "google"
},
{
"id": 351,
"name": "sphinx"
},
{
"id": 430,
"name": "urllib3"
},
{
"id": 1347,
"name": "recommonmark"
},
{
"id": 1520,
"name": "flytekit"
},
{
"id": 4388,
"name": "grafanalib"
},
{
"id": 4542,
"name": "sphinx_fontawesome"
}
],
"last_checked_revision": "956b24e2afa27267cd1d015bfcc6edd062595f5d\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": 789,
"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": "a221d93353ada37f6a5f9b74c6fb0bef58f4d116\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": 676,
"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": "dad7df5b978653be3c122e805bc9821159ad9978\n"
},
{
"id": 502,
"url": "https://github.com/Dataherald/dataherald",
"description": "",
"stars": 764,
"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": "b81e7e002c9ae5d8bdb23456c1862c53bbf7c419\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": "8dc48c7a70b26df45477d6f81dd3d37f5c109f2a\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": "c6978263d76c999e3dc306515b146dc283e2a3c2\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": 21019,
"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": "4daf2478aa3246b8188f9503bdc3c08baf79dadd\n"
},
{
"id": 507,
"url": "https://github.com/Significant-Gravitas/AutoGPT",
"description": "An experimental open-source attempt to make GPT-4 fully autonomous.",
"stars": 153201,
"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": 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": 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": 1431,
"name": "vcr"
},
{
"id": 1640,
"name": "github"
},
{
"id": 1732,
"name": "oauth2client"
},
{
"id": 2251,
"name": "poetry"
},
{
"id": 2287,
"name": "gspread"
},
{
"id": 2740,
"name": "hypercorn"
},
{
"id": 3053,
"name": "distro"
},
{
"id": 3615,
"name": "gql"
},
{
"id": 4131,
"name": "helicone"
},
{
"id": 4255,
"name": "litellm"
},
{
"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"
}
],
"last_checked_revision": "874000624d56d6980ae4605c1d3d0b5022f4acc6\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": 7881,
"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": 6807,
"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": 4525,
"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": 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": 174,
"name": "albumentations"
},
{
"id": 177,
"name": "h5py"
},
{
"id": 178,
"name": "peft"
},
{
"id": 185,
"name": "huggingface_hub"
},
{
"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": 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": 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": "e0be1978f0c9a59e70f23792e3bbbaba5e3af2fa\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": 3604,
"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": 3333,
"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": "c0ec5b51ceee10aaadc9f54461bf88d6977ae31b\n"
},
{
"id": 513,
"url": "https://github.com/microsoft/lida",
"description": "Automatic Generation of Visualizations and Infographics using Large Language Models",
"stars": 1888,
"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": "30a60eade9963eee7029d7d9556a7ba3dc5b615a\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": 1744,
"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"
}
],
"last_checked_revision": "01d1159f319cbc30f4fa55cdc3e18246847f0f58\n"
},
{
"id": 515,
"url": "https://github.com/run-llama/sec-insights",
"description": "A real world full-stack application using LlamaIndex",
"stars": 1562,
"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": "1f57b58788fc647a21a69171efaff9d841851d6b\n"
},
{
"id": 516,
"url": "https://github.com/DAGWorks-Inc/hamilton",
"description": "Your single tool to express data, ML, and LLM pipelines with simple python functions. Runs anywhere that python runs, E.G. spark, airflow, jupyter, fastapi, etc. Incrementally adoptable. Use Hamilton to build testable, reusable, and self-documenting dataflows with lineage and metadata out of the box.",
"stars": 1035,
"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": 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": 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": 425,
"name": "fsspec"
},
{
"id": 426,
"name": "lightgbm"
},
{
"id": 469,
"name": "termcolor"
},
{
"id": 509,
"name": "docutils"
},
{
"id": 533,
"name": "optuna"
},
{
"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": 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"
}
],
"last_checked_revision": "62441a19a65b8bf2b8720b2d4c920bf276c3d1e0\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": 1246,
"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": "3f4dc2644211e3a79e2d15ac0c83d424ab303df8\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": 688,
"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": "3c11bdeb40c990327961588b4bf3778645ea6a0f\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": 665,
"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": "0aedb2408c386721cadab40505f4cbdd1ebba1d9\n"
},
{
"id": 520,
"url": "https://github.com/dataelement/bisheng",
"description": "Bisheng is an open LLM devops platform for next generation AI applications.",
"stars": 2408,
"source_graph_repo_id": 61638771,
"dependencies": [
{
"id": 3,
"name": "fastapi"
},
{
"id": 10,
"name": "typer"
},
{
"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": 59,
"name": "elasticsearch"
},
{
"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": 149,
"name": "jieba"
},
{
"id": 206,
"name": "langchain"
},
{
"id": 219,
"name": "fastapi_jwt_auth"
},
{
"id": 224,
"name": "google"
},
{
"id": 227,
"name": "websocket"
},
{
"id": 236,
"name": "sqlmodel"
},
{
"id": 399,
"name": "orjson"
},
{
"id": 471,
"name": "shapely"
},
{
"id": 597,
"name": "docstring_parser"
},
{
"id": 611,
"name": "fitz"
},
{
"id": 673,
"name": "multiprocess"
},
{
"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"
}
],
"last_checked_revision": "06678fc332e4ef7fd8f3c1db535875551186b582\n"
},
{
"id": 521,
"url": "https://github.com/ray-project/llm-applications",
"description": "A comprehensive guide to building RAG-based LLM applications for production.",
"stars": 994,
"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": "12ecd119c1c395de9835a5db487b72202d295fc6\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": 925,
"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": "f7de81c73206a4d2ce5c80c9baa1f4ae8b4252d9\n"
},
{
"id": 523,
"url": "https://github.com/weaviate/Verba",
"description": "Retrieval Augmented Generation (RAG) chatbot powered by Weaviate",
"stars": 892,
"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": "cbc7e2a5c2cad7d53e556827da252df7fb1ecb96\n"
},
{
"id": 524,
"url": "https://github.com/aiwaves-cn/agents",
"description": "An Open-source Framework for Autonomous Language Agents",
"stars": 3973,
"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": 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": "effa456bfa3091ea34e4b396c614e85904b88b8e\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": "8b8cbbe4eaee5e52fac99e2320f7beda4a6045ae\n"
},
{
"id": 528,
"url": "https://github.com/plastic-labs/tutor-gpt",
"description": "LangChain LLM application. Dynamic few-shot metaprompting for theory-of-mind-powered tutoring. ",
"stars": 588,
"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": 206,
"name": "langchain"
},
{
"id": 266,
"name": "discord"
},
{
"id": 583,
"name": "__main__"
}
],
"last_checked_revision": "028825429ee3b968bb7aa082cb5ccc03cefc9483\n"
},
{
"id": 529,
"url": "https://github.com/vllm-project/vllm",
"description": "A high-throughput and memory-efficient inference and serving engine for LLMs",
"stars": 9597,
"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": 1380,
"name": "fastchat"
},
{
"id": 5191,
"name": "mii"
}
],
"last_checked_revision": "dcc543a298f0e3af670f329367ba13cd07f68342\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": 5180,
"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": "36999ce70c69595db9f223461b9880faf7eaec42\n"
},
{
"id": 531,
"url": "https://github.com/grafana/beyla",
"description": "eBPF-based autoinstrumentation of HTTP and HTTPS services",
"stars": 740,
"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": "2a5433b58aa4001d422d4c77c4478defa9c06d61\n"
},
{
"id": 532,
"url": "https://github.com/pyscript/pyscript",
"description": "Home Page: https://pyscript.net Examples: https://pyscript.net/examples",
"stars": 17148,
"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": "4b89c846920e2c5aed655d0f7a223c00a661975c\n"
},
{
"id": 533,
"url": "https://github.com/teamhanko/hanko",
"description": "Auth and user management for the passkey era",
"stars": 4840,
"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": 3340,
"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": 82,
"name": "PIL"
},
{
"id": 84,
"name": "torchvision"
},
{
"id": 107,
"name": "ldm"
},
{
"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": 129,
"name": "skimage"
},
{
"id": 130,
"name": "safetensors"
},
{
"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": 355,
"name": "importlib_metadata"
},
{
"id": 457,
"name": "launch"
},
{
"id": 476,
"name": "modules"
},
{
"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"
}
],
"last_checked_revision": "081ca8307da3a8eaa8819969d35e08ba90b455dc\n"
},
{
"id": 535,
"url": "https://github.com/roboflow/inference",
"description": "An easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.",
"stars": 644,
"source_graph_repo_id": 61524565,
"dependencies": [
{
"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": 19,
"name": "requests"
},
{
"id": 28,
"name": "_pytest"
},
{
"id": 34,
"name": "uvicorn"
},
{
"id": 38,
"name": "pydantic"
},
{
"id": 56,
"name": "redis"
},
{
"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": 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": 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": "821e978fe39b2f0b0948d1ee8454885749c795ee\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": 901,
"name": "hypothesis"
},
{
"id": 1488,
"name": "nest_asyncio"
},
{
"id": 3781,
"name": "ctransformers"
},
{
"id": 4663,
"name": "d20"
}
],
"last_checked_revision": "2a57e63442c8d01e1fc6b5de5e841c8bb2ebd01c\n"
},
{
"id": 537,
"url": "https://github.com/pinecone-io/examples",
"description": "Jupyter Notebooks to help you get hands-on with Pinecone vector databases",
"stars": 1994,
"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": "67b3b1647a7f21426b578abdda8d450233299c75\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": 1992,
"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": 2816,
"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": 47,
"name": "tenacity"
},
{
"id": 50,
"name": "tiktoken"
},
{
"id": 56,
"name": "redis"
},
{
"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": 127,
"name": "tqdm"
},
{
"id": 135,
"name": "pkg_resources"
},
{
"id": 156,
"name": "tabulate"
},
{
"id": 182,
"name": "wandb"
},
{
"id": 183,
"name": "openai"
},
{
"id": 206,
"name": "langchain"
},
{
"id": 224,
"name": "google"
},
{
"id": 292,
"name": "flask"
},
{
"id": 355,
"name": "importlib_metadata"
},
{
"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": 1446,
"name": "tomli_w"
},
{
"id": 2531,
"name": "appdirs"
},
{
"id": 2548,
"name": "slack_bolt"
},
{
"id": 4744,
"name": "numpydoc"
},
{
"id": 4902,
"name": "openai_proxy"
},
{
"id": 5192,
"name": "autoevals"
}
],
"last_checked_revision": "fdbaceab8e91c469581c6025d3662c1b220d87b4\n"
},
{
"id": 540,
"url": "https://github.com/ray-project/ray-llm",
"description": "RayLLM - LLMs on Ray",
"stars": 837,
"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": "335e688f04e5e322989463f0d1cef921b2e2fda6\n"
},
{
"id": 541,
"url": "https://github.com/daveshap/ACE_Framework",
"description": "Public repo for my latest and greatest cognitive architecture ACE (Autonomous Cognitive Entity) Framework",
"stars": 944,
"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": "06729b6172525789a2c2ccccef45b462c2889082\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"
}
],
"last_checked_revision": "ba0a263ad70dec53e16845d8b7d888256b52a64d\n"
},
{
"id": 543,
"url": "https://github.com/rapid7/metasploit-framework",
"description": "Metasploit Framework",
"stars": 31635,
"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": "56016cb3e7b19af439d5007e868f5870f03227fb\n"
},
{
"id": 544,
"url": "https://github.com/KillianLucas/open-interpreter",
"description": "OpenAI's Code Interpreter in your terminal, running locally",
"stars": 33455,
"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": 96,
"name": "rich"
},
{
"id": 115,
"name": "packaging"
},
{
"id": 122,
"name": "psutil"
},
{
"id": 135,
"name": "pkg_resources"
},
{
"id": 183,
"name": "openai"
},
{
"id": 260,
"name": "IPython"
},
{
"id": 573,
"name": "inquirer"
},
{
"id": 1026,
"name": "jupyter_client"
},
{
"id": 2128,
"name": "yaspin"
},
{
"id": 2531,
"name": "appdirs"
},
{
"id": 4255,
"name": "litellm"
},
{
"id": 4531,
"name": "tokentrim"
},
{
"id": 4750,
"name": "ooba"
},
{
"id": 5073,
"name": "html2image"
}
],
"last_checked_revision": "a60f7de15611addb5b6e2f37e23795354094c15e\n"
},
{
"id": 545,
"url": "https://github.com/miguelgrinberg/python-socketio",
"description": "Python Socket.IO server and client",
"stars": 3582,
"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": "a43e3f63c063680cc0165ac3a235c145e8239e22\n"
},
{
"id": 546,
"url": "https://github.com/InternLM/lmdeploy",
"description": "LMDeploy is a toolkit for compressing, deploying, and serving LLMs.",
"stars": 1416,
"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": 34,
"name": "uvicorn"
},
{
"id": 38,
"name": "pydantic"
},
{
"id": 85,
"name": "tritonclient"
},
{
"id": 89,
"name": "triton_python_backend_utils"
},
{
"id": 118,
"name": "gradio"
},
{
"id": 127,
"name": "tqdm"
},
{
"id": 130,
"name": "safetensors"
},
{
"id": 142,
"name": "pynvml"
},
{
"id": 145,
"name": "fire"
},
{
"id": 154,
"name": "datasets"
},
{
"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": 3494,
"name": "mmengine"
},
{
"id": 4383,
"name": "pytorch_sphinx_theme"
},
{
"id": 4748,
"name": "m2r"
},
{
"id": 4749,
"name": "_turbomind"
},
{
"id": 4972,
"name": "awq_inference_engine"
}
],
"last_checked_revision": "0fcc3034afe46564ef3a857ea9abd0d20ca374f2\n"
},
{
"id": 547,
"url": "https://github.com/THUDM/AgentBench",
"description": "A Comprehensive Benchmark to Evaluate LLMs as Agents",
"stars": 1348,
"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": "adc728e073c7ba2934c5fbf05ca1eaa10cc2b21c\n"
},
{
"id": 548,
"url": "https://github.com/netkiller/netkiller.github.io",
"description": "Netkiller Free ebook - \u514d\u8d39\u7535\u5b50\u4e66",
"stars": 1170,
"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": 42821,
"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": "0d520026a3d5b08a9b8487be992d3095b21e710c\n"
},
{
"id": 550,
"url": "https://github.com/OpenBMB/XAgent",
"description": "An Autonomous LLM Agent for Complex Task Solving",
"stars": 4870,
"source_graph_repo_id": 61842276,
"dependencies": [
{
"id": 2,
"name": "starlette"
},
{
"id": 3,
"name": "fastapi"
},
{
"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": 37,
"name": "httpx"
},
{
"id": 38,
"name": "pydantic"
},
{
"id": 43,
"name": "pinecone"
},
{
"id": 47,
"name": "tenacity"
},
{
"id": 50,
"name": "tiktoken"
},
{
"id": 68,
"name": "sqlalchemy"
},
{
"id": 72,
"name": "jsonschema"
},
{
"id": 77,
"name": "dotenv"
},
{
"id": 127,
"name": "tqdm"
},
{
"id": 183,
"name": "openai"
},
{
"id": 184,
"name": "utils"
},
{
"id": 212,
"name": "duckduckgo_search"
},
{
"id": 214,
"name": "json5"
},
{
"id": 380,
"name": "core"
},
{
"id": 597,
"name": "docstring_parser"
},
{
"id": 772,
"name": "config"
},
{
"id": 778,
"name": "docker"
},
{
"id": 802,
"name": "xmltodict"
},
{
"id": 1004,
"name": "colorama"
},
{
"id": 1007,
"name": "motor"
},
{
"id": 1071,
"name": "markdown2"
},
{
"id": 3790,
"name": "yagmail"
},
{
"id": 4816,
"name": "inputimeout"
}
],
"last_checked_revision": "5ffd0305f522404a26c15ca66f67337269692df3\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": 1829,
"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": "0cf8344b3994fc32d8d83b9ed39f4c2b1720860c\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": 1573,
"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": 1476,
"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": "48f5a735d250c24111e9868b1f723a07d8b7caee\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": 1720,
"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": 1209,
"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": 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": "d55b16a0e10f2f34043784d217c95b447b8b310e\n"
},
{
"id": 556,
"url": "https://github.com/docker/genai-stack",
"description": "Langchain + Docker + Neo4j + Ollama",
"stars": 1403,
"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": "88c10d822a8b704db65a3aa3c769e8143cf86b14\n"
},
{
"id": 557,
"url": "https://github.com/WisdomShell/codeshell",
"description": "A series of code large language models developed by PKU-KCL",
"stars": 1236,
"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": "",
"stars": 855,
"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": "98dff1e64ec2fd6368c54666bd7721d00fb6c61c\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": "c402592c1a51397c0f23acd36f69bfdbcbdad649\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": 607,
"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": 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": "1ede9aef2a2d9c42b3e34bb24d0d292690367bfe\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": 587,
"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": "406f2ee23b71877653729ff749a2e8a094612778\n"
},
{
"id": 562,
"url": "https://github.com/Renumics/spotlight",
"description": "Interactively explore unstructured datasets from your dataframe.",
"stars": 558,
"source_graph_repo_id": 60310006,
"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": 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": "3aa6d482b7673515f81c906376e64745e5d9310b\n"
},
{
"id": 563,
"url": "https://github.com/leptonai/leptonai",
"description": "A Pythonic framework to simplify AI service building",
"stars": 534,
"source_graph_repo_id": 61666705,
"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": 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": 3781,
"name": "ctransformers"
},
{
"id": 4806,
"name": "hnsqlite"
},
{
"id": 4941,
"name": "asgi_proxy"
}
],
"last_checked_revision": "be60dcddb8a196596d7668286ee6677ebc9418f0\n"
},
{
"id": 564,
"url": "https://github.com/neo4j/NaLLM",
"description": "Repository for the NaLLM project",
"stars": 548,
"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": 810,
"source_graph_repo_id": 61769023,
"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": 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"
}
],
"last_checked_revision": "798739c4068a80a9ffd57266fa65dc34b56cb8fa\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": 532,
"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": "b831832e8ba362aef6b0a7e34462f994cd911b1a\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": "Data platform for LLMs - Load, index, retrieve and sync any unstructured data",
"stars": 5913,
"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": 44,
"name": "chromadb"
},
{
"id": 51,
"name": "qdrant_client"
},
{
"id": 57,
"name": "llama_index"
},
{
"id": 58,
"name": "pymilvus"
},
{
"id": 68,
"name": "sqlalchemy"
},
{
"id": 77,
"name": "dotenv"
},
{
"id": 82,
"name": "PIL"
},
{
"id": 124,
"name": "git"
},
{
"id": 127,
"name": "tqdm"
},
{
"id": 183,
"name": "openai"
},
{
"id": 200,
"name": "models"
},
{
"id": 206,
"name": "langchain"
},
{
"id": 210,
"name": "slack_sdk"
},
{
"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": 1095,
"name": "schema"
},
{
"id": 1262,
"name": "flask_sqlalchemy"
},
{
"id": 1493,
"name": "psycopg"
},
{
"id": 1740,
"name": "twilio"
},
{
"id": 3901,
"name": "wikipedia"
},
{
"id": 3929,
"name": "yt_dlp"
},
{
"id": 4139,
"name": "paths"
},
{
"id": 4370,
"name": "llama_hub"
},
{
"id": 4903,
"name": "fastapi_poe"
}
],
"last_checked_revision": "023a61446f02db67dc42f70337df470bd47d23f5\n"
},
{
"id": 569,
"url": "https://github.com/microsoft/vscode-docs",
"description": "Public documentation for Visual Studio Code",
"stars": 5293,
"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": 4887,
"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": 54,
"name": "loguru"
},
{
"id": 86,
"name": "sse_starlette"
},
{
"id": 118,
"name": "gradio"
},
{
"id": 183,
"name": "openai"
},
{
"id": 185,
"name": "huggingface_hub"
},
{
"id": 189,
"name": "accelerate"
},
{
"id": 206,
"name": "langchain"
},
{
"id": 208,
"name": "mdtex2html"
},
{
"id": 1004,
"name": "colorama"
},
{
"id": 1699,
"name": "astunparse"
}
],
"last_checked_revision": "6619c7c8bf6e49a5b06ebe2ca901157b98aa3a3a\n"
},
{
"id": 571,
"url": "https://github.com/Kludex/awesome-fastapi-projects",
"description": "List of FastAPI projects! :sunglasses: :rocket: ",
"stars": 1103,
"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": "dec4271fd043f56187f26c199a063fc30d53265e\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": 925,
"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": "c3e096529c182a25dbe42d5a0ab31b44adfaad98\n"
},
{
"id": 573,
"url": "https://github.com/fishaudio/Bert-VITS2",
"description": "vits2 backbone with bert",
"stars": 2574,
"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": 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"
}
],
"last_checked_revision": "31de84eb3ba3cb9540b9eff1b883ec76cfb64376\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": 780,
"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": 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": 77,
"name": "dotenv"
},
{
"id": 80,
"name": "tensorflow"
},
{
"id": 81,
"name": "boto3"
},
{
"id": 82,
"name": "PIL"
},
{
"id": 84,
"name": "torchvision"
},
{
"id": 86,
"name": "sse_starlette"
},
{
"id": 96,
"name": "rich"
},
{
"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": 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": 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": 438,
"name": "cpuinfo"
},
{
"id": 442,
"name": "filelock"
},
{
"id": 452,
"name": "onnxruntime"
},
{
"id": 468,
"name": "onnx"
},
{
"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": 895,
"name": "lm_eval"
},
{
"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": 1380,
"name": "fastchat"
},
{
"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": 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"
}
],
"last_checked_revision": "d9a86419f01bd38e1e8dd5394661d712238e97b8\n"
},
{
"id": 575,
"url": "https://github.com/Kanaries/pygwalker",
"description": "PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis",
"stars": 7875,
"source_graph_repo_id": 60395885,
"dependencies": [
{
"id": 2,
"name": "starlette"
},
{
"id": 3,
"name": "fastapi"
},
{
"id": 9,
"name": "typing_extensions"
},
{
"id": 12,
"name": "pandas"
},
{
"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": 122,
"name": "psutil"
},
{
"id": 237,
"name": "polars"
},
{
"id": 260,
"name": "IPython"
},
{
"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"
}
],
"last_checked_revision": "c9ab343fade89c6dfce90a2eeb34adf6649af789\n"
},
{
"id": 576,
"url": "https://github.com/safevideo/autollm",
"description": "Ship RAG based LLM web apps in seconds.",
"stars": 581,
"source_graph_repo_id": 61941238,
"dependencies": [
{
"id": 3,
"name": "fastapi"
},
{
"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": 4255,
"name": "litellm"
}
],
"last_checked_revision": "195dcc1134c8ab70b299c45d5f1b71b4ede3086b\n"
},
{
"id": 577,
"url": "https://github.com/Planetary-Computers/autotab-starter",
"description": "Build browser agents for real world tasks",
"stars": 872,
"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": "5762cebe01b5bca80a297a8c1c50a146b635bd7a\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": 476,
"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": "0eac33a16f55448c7f446a1769ff99a7346b622f\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": "fa2954c9a307cf4cb8b7496d0ccd36098b709711\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": "58bab4869fa79a5d2329eda332dacc5fc75bf786\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": "7a03f4e6786b00b99607a13b362961dd80d6cacf\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": 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": 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": 2796,
"name": "optimum"
},
{
"id": 3070,
"name": "trl"
},
{
"id": 3712,
"name": "text_generation"
},
{
"id": 5026,
"name": "ai21"
}
],
"last_checked_revision": "830d31428a2a9220e88e27356e29e14bcae5617b\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": "abe314f97e1ca7c133e00d17ff2a4e7e39324f63\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": "bfa0b56e72313cdf0ce107abb7e948cf6432bffb\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": "1dc2b19221c8997cdc223f36a0cb1cabf6b891ed\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": 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": 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": 206,
"name": "langchain"
},
{
"id": 210,
"name": "slack_sdk"
},
{
"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": 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"
}
],
"last_checked_revision": "5bab0ec62d8ccba74c0963a3c873c7de3ccc9db3\n"
},
{
"id": 589,
"url": "https://github.com/langroid/langroid",
"description": "Harness LLMs with Multi-Agent Programming",
"stars": 397,
"source_graph_repo_id": 61388859,
"dependencies": [
{
"id": 10,
"name": "typer"
},
{
"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": "33c7fc7531d8254ec12c322e37685b63cdac7dc3\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": "3c132540b7c9d89e8aa0543594b940af5527cc9e\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": 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": 410,
"name": "selenium"
},
{
"id": 574,
"name": "websockets"
},
{
"id": 3470,
"name": "gremlin_python"
},
{
"id": 4704,
"name": "fastapi_cache"
},
{
"id": 4800,
"name": "undetected_chromedriver"
},
{
"id": 5018,
"name": "osintbuddy"
},
{
"id": 5019,
"name": "gremlinpy"
}
],
"last_checked_revision": "44b0cb66d0fbed6263e801130366f166d5b9ad22\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": "7ffc61a5b669c311e47471ef6fe98f27742aebf0\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": "6cd0fa752bbc893824d92bed560b8ea14f3cce9d\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": "d4225312dc6ffaccc53157a075bc2ed2383db75f\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": 3068,
"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"
}
],
"last_checked_revision": "f739c61197e6ac123d908f01c8687c261cd52b67\n"
},
{
"id": 599,
"url": "https://github.com/langchain-ai/opengpts",
"description": "",
"stars": 2053,
"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": 56,
"name": "redis"
},
{
"id": 62,
"name": "app"
},
{
"id": 81,
"name": "boto3"
},
{
"id": 206,
"name": "langchain"
},
{
"id": 373,
"name": "tests"
},
{
"id": 399,
"name": "orjson"
},
{
"id": 628,
"name": "magic"
},
{
"id": 1451,
"name": "langchain_experimental"
},
{
"id": 4703,
"name": "langserve"
},
{
"id": 5074,
"name": "agent_executor"
},
{
"id": 5075,
"name": "gizmo_agent"
}
],
"last_checked_revision": "fdfda6fc50d2d4d1c2408e1a5e6be68435c6f728\n"
},
{
"id": 600,
"url": "https://github.com/X-PLUG/mPLUG-Owl",
"description": "[Official Implementation] mPLUG-Owl & mPLUG-Owl2: Alibaba MLLM Family.",
"stars": 1600,
"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": 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": "96d2c7677dcbec0c5622839979ffacb8a9c2e978\n"
},
{
"id": 601,
"url": "https://github.com/YORG-AI/Open-Assistant",
"description": "YORG Open Source Version",
"stars": 763,
"source_graph_repo_id": 61936893,
"dependencies": [
{
"id": 3,
"name": "fastapi"
},
{
"id": 12,
"name": "pandas"
},
{
"id": 13,
"name": "pytest"
},
{
"id": 19,
"name": "requests"
},
{
"id": 31,
"name": "yaml"
},
{
"id": 38,
"name": "pydantic"
},
{
"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"
}
],
"last_checked_revision": "0f3c34aa63c3152b132e9f2480e32db606233304\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": 636,
"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": "a626bc4ab3c65e1e710ac073432d49fcca3b71de\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": 527,
"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": "b5203b2d90e5ec6040708fd3b4db3241201e2796\n"
},
{
"id": 604,
"url": "https://github.com/OpenBB-finance/OpenBBTerminal",
"description": "Investment Research for Everyone, Everywhere.",
"stars": 24778,
"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": 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": 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"
}
],
"last_checked_revision": "5981dfdb1190483a71b7ce7c43e4a8cdddde2058\n"
}
]
}