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1201 lines
77 KiB
Markdown
1201 lines
77 KiB
Markdown
# Awesome Python [](https://github.com/sindresorhus/awesome)
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An opinionated list of awesome Python frameworks, libraries, software and resources.
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Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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- [Awesome Python](#awesome-python)
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- [Admin Panels](#admin-panels)
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- [Algorithms and Design Patterns](#algorithms-and-design-patterns)
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- [ASGI Servers](#asgi-servers)
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- [Asynchronous Programming](#asynchronous-programming)
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- [Audio](#audio)
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- [Authentication](#authentication)
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- [Build Tools](#build-tools)
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- [Built-in Classes Enhancement](#built-in-classes-enhancement)
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- [Caching](#caching)
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- [ChatOps Tools](#chatops-tools)
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- [CMS](#cms)
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- [Code Analysis](#code-analysis)
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- [Command-line Interface Development](#command-line-interface-development)
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- [Command-line Tools](#command-line-tools)
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- [Computer Vision](#computer-vision)
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- [Configuration Files](#configuration-files)
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- [Cryptography](#cryptography)
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- [Data Analysis](#data-analysis)
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- [Data Validation](#data-validation)
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- [Data Visualization](#data-visualization)
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- [Database Drivers](#database-drivers)
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- [Database](#database)
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- [Date and Time](#date-and-time)
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- [Debugging Tools](#debugging-tools)
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- [Deep Learning](#deep-learning)
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- [DevOps Tools](#devops-tools)
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- [Distributed Computing](#distributed-computing)
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- [Distribution](#distribution)
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- [Documentation](#documentation)
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- [Downloader](#downloader)
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- [Editor Plugins and IDEs](#editor-plugins-and-ides)
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- [Email](#email)
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- [Environment Management](#environment-management)
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- [File Manipulation](#file-manipulation)
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- [Functional Programming](#functional-programming)
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- [Game Development](#game-development)
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- [Geolocation](#geolocation)
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- [GUI Development](#gui-development)
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- [Hardware](#hardware)
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- [HTML Manipulation](#html-manipulation)
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- [HTTP Clients](#http-clients)
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- [Image Processing](#image-processing)
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- [Implementations](#implementations)
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- [Interactive Interpreter](#interactive-interpreter)
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- [Internationalization](#internationalization)
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- [Job Scheduler](#job-scheduler)
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- [Logging](#logging)
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- [Machine Learning](#machine-learning)
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- [Miscellaneous](#miscellaneous)
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- [Natural Language Processing](#natural-language-processing)
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- [Network Virtualization](#network-virtualization)
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- [News Feed](#news-feed)
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- [ORM](#orm)
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- [Package Management](#package-management)
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- [Package Repositories](#package-repositories)
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- [Penetration testing](#penetration-testing)
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- [Permissions](#permissions)
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- [Processes](#processes)
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- [Recommender Systems](#recommender-systems)
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- [Refactoring](#refactoring)
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- [RESTful API](#restful-api)
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- [Robotics](#robotics)
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- [RPC Servers](#rpc-servers)
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- [Science](#science)
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- [Search](#search)
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- [Serialization](#serialization)
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- [Serverless Frameworks](#serverless-frameworks)
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- [Shell](#shell)
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- [Specific Formats Processing](#specific-formats-processing)
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- [Static Site Generator](#static-site-generator)
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- [Tagging](#tagging)
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- [Task Queues](#task-queues)
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- [Template Engine](#template-engine)
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- [Testing](#testing)
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- [Text Processing](#text-processing)
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- [Third-party APIs](#third-party-apis)
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- [URL Manipulation](#url-manipulation)
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- [Video](#video)
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- [Web Asset Management](#web-asset-management)
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- [Web Content Extracting](#web-content-extracting)
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- [Web Crawling](#web-crawling)
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- [Web Frameworks](#web-frameworks)
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- [WebSocket](#websocket)
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- [WSGI Servers](#wsgi-servers)
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- [Resources](#resources)
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- [Newsletters](#newsletters)
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- [Podcasts](#podcasts)
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- [Contributing](#contributing)
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---
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## Admin Panels
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*Libraries for administrative interfaces.*
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* [ajenti](https://github.com/ajenti/ajenti) - The admin panel your servers deserve.
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* [django-grappelli](https://github.com/sehmaschine/django-grappelli) - A jazzy skin for the Django Admin-Interface.
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* [flask-admin](https://github.com/flask-admin/flask-admin) - Simple and extensible administrative interface framework for Flask.
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* [flower](https://github.com/mher/flower) - Real-time monitor and web admin for Celery.
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* [jet-bridge](https://github.com/jet-admin/jet-bridge) - Admin panel framework for any application with nice UI (ex Jet Django).
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* [wooey](https://github.com/wooey/wooey) - A Django app which creates automatic web UIs for Python scripts.
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* [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.
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## Algorithms and Design Patterns
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*Python implementation of data structures, algorithms and design patterns. Also see [awesome-algorithms](https://github.com/tayllan/awesome-algorithms).*
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* Algorithms
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* [algorithms](https://github.com/keon/algorithms) - Minimal examples of data structures and algorithms.
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* [python-ds](https://github.com/prabhupant/python-ds) - A collection of data structure and algorithms for coding interviews.
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* [sortedcontainers](https://github.com/grantjenks/python-sortedcontainers) - Fast and pure-Python implementation of sorted collections.
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* [thealgorithms](https://github.com/TheAlgorithms/Python) - All Algorithms implemented in Python.
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* Design Patterns
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* [pypattyrn](https://github.com/tylerlaberge/PyPattyrn) - A simple yet effective library for implementing common design patterns.
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* [python-patterns](https://github.com/faif/python-patterns) - A collection of design patterns in Python.
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* [transitions](https://github.com/pytransitions/transitions) - A lightweight, object-oriented finite state machine implementation.
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## ASGI Servers
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*[ASGI](https://asgi.readthedocs.io/en/latest/)-compatible web servers.*
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* [daphne](https://github.com/django/daphne) - A HTTP, HTTP2 and WebSocket protocol server for ASGI and ASGI-HTTP.
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* [uvicorn](https://github.com/encode/uvicorn) - A lightning-fast ASGI server implementation, using uvloop and httptools.
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* [hypercorn](https://github.com/pgjones/hypercorn) - An ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
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## Asynchronous Programming
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*Libraries for asynchronous, concurrent and parallel execution. Also see [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio).*
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* [asyncio](https://docs.python.org/3/library/asyncio.html) - (Python standard library) Asynchronous I/O, event loop, coroutines and tasks.
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- [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio)
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* [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html) - (Python standard library) A high-level interface for asynchronously executing callables.
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* [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) - (Python standard library) Process-based parallelism.
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* [trio](https://github.com/python-trio/trio) - A friendly library for async concurrency and I/O.
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* [twisted](https://github.com/twisted/twisted) - An event-driven networking engine.
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* [uvloop](https://github.com/MagicStack/uvloop) - Ultra fast asyncio event loop.
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* [eventlet](https://github.com/eventlet/eventlet) - Asynchronous framework with WSGI support.
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* [gevent](https://github.com/gevent/gevent) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet).
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## Audio
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*Libraries for manipulating audio and its metadata.*
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* Audio
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* [audioread](https://github.com/beetbox/audioread) - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.
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* [audioFlux](https://github.com/libAudioFlux/audioFlux) - A library for audio and music analysis, feature extraction.
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* [dejavu](https://github.com/worldveil/dejavu) - Audio fingerprinting and recognition.
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* [kapre](https://github.com/keunwoochoi/kapre) - Keras Audio Preprocessors.
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* [librosa](https://github.com/librosa/librosa) - Python library for audio and music analysis.
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* [matchering](https://github.com/sergree/matchering) - A library for automated reference audio mastering.
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* [mingus](http://bspaans.github.io/python-mingus/) - An advanced music theory and notation package with MIDI file and playback support.
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* [pyaudioanalysis](https://github.com/tyiannak/pyAudioAnalysis) - Audio feature extraction, classification, segmentation and applications.
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* [pydub](https://github.com/jiaaro/pydub) - Manipulate audio with a simple and easy high level interface.
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* [timeside](https://github.com/Parisson/TimeSide) - Open web audio processing framework.
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* Metadata
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* [beets](https://github.com/beetbox/beets) - A music library manager and [MusicBrainz](https://musicbrainz.org/) tagger.
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* [eyed3](https://github.com/nicfit/eyeD3) - A tool for working with audio files, specifically MP3 files containing ID3 metadata.
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* [mutagen](https://github.com/quodlibet/mutagen) - A Python module to handle audio metadata.
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* [tinytag](https://github.com/devsnd/tinytag) - A library for reading music meta data of MP3, OGG, FLAC and Wave files.
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## Authentication
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*Libraries for implementing authentications schemes.*
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* OAuth
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* [authlib](https://github.com/lepture/authlib) - JavaScript Object Signing and Encryption draft implementation.
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* [django-allauth](https://github.com/pennersr/django-allauth) - Authentication app for Django that "just works."
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* [django-oauth-toolkit](https://github.com/jazzband/django-oauth-toolkit) - OAuth 2 goodies for Django.
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* [oauthlib](https://github.com/oauthlib/oauthlib) - A generic and thorough implementation of the OAuth request-signing logic.
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* JWT
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* [pyjwt](https://github.com/jpadilla/pyjwt) - JSON Web Token implementation in Python.
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* [python-jose](https://github.com/mpdavis/python-jose/) - A JOSE implementation in Python.
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## Build Tools
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*Compile software from source code.*
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* [bitbake](https://github.com/openembedded/bitbake) - A make-like build tool for embedded Linux.
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* [buildout](https://github.com/buildout/buildout) - A build system for creating, assembling and deploying applications from multiple parts.
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* [platformio](https://github.com/platformio/platformio-core) - A console tool to build code with different development platforms.
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* [pybuilder](https://github.com/pybuilder/pybuilder) - A continuous build tool written in pure Python.
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* [scons](https://github.com/SCons/scons) - A software construction tool.
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## Built-in Classes Enhancement
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*Libraries for enhancing Python built-in classes.*
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* [attrs](https://github.com/python-attrs/attrs) - Replacement for `__init__`, `__eq__`, `__repr__`, etc. boilerplate in class definitions.
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* [bidict](https://github.com/jab/bidict) - Efficient, Pythonic bidirectional map data structures and related functionality..
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* [box](https://github.com/cdgriffith/Box) - Python dictionaries with advanced dot notation access.
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* [dataclasses](https://docs.python.org/3/library/dataclasses.html) - (Python standard library) Data classes.
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* [dotteddict](https://github.com/carlosescri/DottedDict) - A library that provides a method of accessing lists and dicts with a dotted path notation.
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## CMS
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*Content Management Systems.*
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* [feincms](https://github.com/feincms/feincms) - One of the most advanced Content Management Systems built on Django.
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* [indico](https://github.com/indico/indico) - A feature-rich event management system, made @ [CERN](https://en.wikipedia.org/wiki/CERN).
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* [wagtail](https://github.com/wagtail/wagtail) - A Django content management system.
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## Caching
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*Libraries for caching data.*
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* [beaker](https://github.com/bbangert/beaker) - A WSGI middleware for sessions and caching.
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* [django-cache-machine](https://github.com/django-cache-machine/django-cache-machine) - Automatic caching and invalidation for Django models.
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* [django-cacheops](https://github.com/Suor/django-cacheops) - A slick ORM cache with automatic granular event-driven invalidation.
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* [dogpile.cache](https://github.com/sqlalchemy/dogpile.cache) - dogpile.cache is a next generation replacement for Beaker made by the same authors.
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* [hermescache](https://pypi.org/project/HermesCache/) - Python caching library with tag-based invalidation and dogpile effect prevention.
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* [pylibmc](https://github.com/lericson/pylibmc) - A Python wrapper around the [libmemcached](https://libmemcached.org/libMemcached.html) interface.
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* [python-diskcache](https://github.com/grantjenks/python-diskcache) - SQLite and file backed cache backend with faster lookups than memcached and redis.
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## ChatOps Tools
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*Libraries for chatbot development.*
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* [errbot](https://github.com/errbotio/errbot/) - The easiest and most popular chatbot to implement ChatOps.
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## Code Analysis
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*Tools of static analysis, linters and code quality checkers. Also see [awesome-static-analysis](https://github.com/mre/awesome-static-analysis).*
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* Code Analysis
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* [code2flow](https://github.com/scottrogowski/code2flow) - Turn your Python and JavaScript code into DOT flowcharts.
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* [prospector](https://github.com/PyCQA/prospector) - A tool to analyse Python code.
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* [vulture](https://github.com/jendrikseipp/vulture) - A tool for finding and analysing dead Python code.
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* Code Linters
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* [flake8](https://github.com/PyCQA/flake8) - A wrapper around `pycodestyle`, `pyflakes` and McCabe.
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* [awesome-flake8-extensions](https://github.com/DmytroLitvinov/awesome-flake8-extensions)
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* [pylint](https://github.com/pylint-dev/pylint) - A fully customizable source code analyzer.
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* Code Formatters
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* [black](https://github.com/psf/black) - The uncompromising Python code formatter.
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* [isort](https://github.com/timothycrosley/isort) - A Python utility / library to sort imports.
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* [yapf](https://github.com/google/yapf) - Yet another Python code formatter from Google.
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* Static Type Checkers, also see [awesome-python-typing](https://github.com/typeddjango/awesome-python-typing)
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* [mypy](https://github.com/python/mypy) - Check variable types during compile time.
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* [pyre-check](https://github.com/facebook/pyre-check) - Performant type checking.
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* [typeshed](https://github.com/python/typeshed) - Collection of library stubs for Python, with static types.
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* Static Type Annotations Generators
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* [monkeytype](https://github.com/Instagram/MonkeyType) - A system for Python that generates static type annotations by collecting runtime types.
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* [pytype](https://github.com/google/pytype) - Pytype checks and infers types for Python code - without requiring type annotations.
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## Command-line Interface Development
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*Libraries for building command-line applications.*
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* Command-line Application Development
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* [cement](https://github.com/datafolklabs/cement) - CLI Application Framework for Python.
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* [click](https://github.com/pallets/click/) - A package for creating beautiful command line interfaces in a composable way.
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* [cliff](https://github.com/openstack/cliff) - A framework for creating command-line programs with multi-level commands.
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* [python-fire](https://github.com/google/python-fire) - A library for creating command line interfaces from absolutely any Python object.
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* [python-prompt-toolkit](https://github.com/prompt-toolkit/python-prompt-toolkit) - A library for building powerful interactive command lines.
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* Terminal Rendering
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* [alive-progress](https://github.com/rsalmei/alive-progress) - A new kind of Progress Bar, with real-time throughput, eta and very cool animations.
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* [asciimatics](https://github.com/peterbrittain/asciimatics) - A package to create full-screen text UIs (from interactive forms to ASCII animations).
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* [bashplotlib](https://github.com/glamp/bashplotlib) - Making basic plots in the terminal.
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* [colorama](https://github.com/tartley/colorama) - Cross-platform colored terminal text.
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* [outfancy](https://github.com/carlosplanchon/outfancy) - A library to print tables in terminal.
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* [rich](https://github.com/Textualize/rich) - Python library for rich text and beautiful formatting in the terminal. Also provides a great `RichHandler` log handler.
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* [tqdm](https://github.com/tqdm/tqdm) - Fast, extensible progress bar for loops and CLI.
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## Command-line Tools
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*Useful CLI-based tools for productivity.*
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* Productivity Tools
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* [copier](https://github.com/copier-org/copier) - A library and command-line utility for rendering projects templates.
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* [cookiecutter](https://github.com/cookiecutter/cookiecutter) - A command-line utility that creates projects from cookiecutters (project templates).
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* [doitlive](https://github.com/sloria/doitlive) - A tool for live presentations in the terminal.
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* [howdoi](https://github.com/gleitz/howdoi) - Instant coding answers via the command line.
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* [invoke](https://github.com/pyinvoke/invoke) - A tool for managing shell-oriented subprocesses and organizing executable Python code into CLI-invokable tasks.
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* [pathpicker](https://github.com/facebook/PathPicker) - Select files out of bash output.
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* [thefuck](https://github.com/nvbn/thefuck) - Correcting your previous console command.
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* [tmuxp](https://github.com/tmux-python/tmuxp) - A [tmux](https://github.com/tmux/tmux) session manager.
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* [try](https://github.com/timofurrer/try) - A dead simple CLI to try out python packages - it's never been easier.
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* CLI Enhancements
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* [httpie](https://github.com/httpie/cli) - A command line HTTP client, a user-friendly cURL replacement.
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* [iredis](https://github.com/laixintao/iredis) - Redis CLI with autocompletion and syntax highlighting.
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* [litecli](https://github.com/dbcli/litecli) - SQLite CLI with autocompletion and syntax highlighting.
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* [mycli](https://github.com/dbcli/mycli) - MySQL CLI with autocompletion and syntax highlighting.
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* [pgcli](https://github.com/dbcli/pgcli) - PostgreSQL CLI with autocompletion and syntax highlighting.
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## Computer Vision
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*Libraries for Computer Vision.*
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* [easyocr](https://github.com/JaidedAI/EasyOCR) - Ready-to-use OCR with 40+ languages supported.
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* [kornia](https://github.com/kornia/kornia/) - Open Source Differentiable Computer Vision Library for PyTorch.
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* [opencv](https://opencv.org/) - Open Source Computer Vision Library.
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* [pytesseract](https://github.com/madmaze/pytesseract) - A wrapper for [Google Tesseract OCR](https://github.com/tesseract-ocr).
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* [tesserocr](https://github.com/sirfz/tesserocr) - Another simple, Pillow-friendly, wrapper around the `tesseract-ocr` API for OCR.
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## Configuration Files
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*Libraries for storing and parsing configuration options.*
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* [configparser](https://docs.python.org/3/library/configparser.html) - (Python standard library) INI file parser.
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* [configobj](https://github.com/DiffSK/configobj) - INI file parser with validation.
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* [hydra](https://github.com/facebookresearch/hydra) - Hydra is a framework for elegantly configuring complex applications.
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* [python-decouple](https://github.com/HBNetwork/python-decouple) - Strict separation of settings from code.
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## Cryptography
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* [cryptography](https://github.com/pyca/cryptography) - A package designed to expose cryptographic primitives and recipes to Python developers.
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* [paramiko](https://github.com/paramiko/paramiko) - The leading native Python SSHv2 protocol library.
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* [pynacl](https://github.com/pyca/pynacl) - Python binding to the Networking and Cryptography (NaCl) library.
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## Data Analysis
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*Libraries for data analyzing.*
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* [pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
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* [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
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* [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
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* [optimus](https://github.com/hi-primus/optimus) - Agile Data Science Workflows made easy with PySpark.
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## Data Validation
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*Libraries for validating data. Used for forms in many cases.*
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* [cerberus](https://github.com/pyeve/cerberus) - A lightweight and extensible data validation library.
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* [colander](https://github.com/Pylons/colander) - Validating and deserializing data obtained via XML, JSON, an HTML form post.
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* [jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of [JSON Schema](http://json-schema.org/) for Python.
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* [schema](https://github.com/keleshev/schema) - A library for validating Python data structures.
|
||
* [schematics](https://github.com/schematics/schematics) - Data Structure Validation.
|
||
* [voluptuous](https://github.com/alecthomas/voluptuous) - A Python data validation library.
|
||
* [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints.
|
||
|
||
## Data Visualization
|
||
|
||
*Libraries for visualizing data. Also see [awesome-javascript](https://github.com/sorrycc/awesome-javascript#data-visualization).*
|
||
|
||
* [altair](https://github.com/altair-viz/altair) - Declarative statistical visualization library for Python.
|
||
* [bokeh](https://github.com/bokeh/bokeh) - Interactive Web Plotting for Python.
|
||
* [bqplot](https://github.com/bloomberg/bqplot) - Interactive Plotting Library for the Jupyter Notebook.
|
||
* [cartopy](https://github.com/SciTools/cartopy) - A cartographic python library with matplotlib support.
|
||
* [diagrams](https://github.com/mingrammer/diagrams) - Diagram as Code.
|
||
* [matplotlib](https://github.com/matplotlib/matplotlib) - A Python 2D plotting library.
|
||
* [plotnine](https://github.com/has2k1/plotnine) - A grammar of graphics for Python based on ggplot2.
|
||
* [pygal](https://github.com/Kozea/pygal) - A Python SVG Charts Creator.
|
||
* [pygraphviz](https://github.com/pygraphviz/pygraphviz/) - Python interface to [Graphviz](http://www.graphviz.org/).
|
||
* [pyqtgraph](https://github.com/pyqtgraph/pyqtgraph) - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
|
||
* [seaborn](https://github.com/mwaskom/seaborn) - Statistical data visualization using Matplotlib.
|
||
* [vispy](https://github.com/vispy/vispy) - High-performance scientific visualization based on OpenGL.
|
||
|
||
## Database
|
||
|
||
*Databases implemented in Python.*
|
||
|
||
* [pickleDB](https://github.com/patx/pickledb) - A simple and lightweight key-value store for Python.
|
||
* [tinydb](https://github.com/msiemens/tinydb) - A tiny, document-oriented database.
|
||
* [zodb](https://github.com/zopefoundation/ZODB) - A native object database for Python. A key-value and object graph database.
|
||
|
||
## Database Drivers
|
||
|
||
*Libraries for connecting and operating databases.*
|
||
|
||
* MySQL - [awesome-mysql](http://shlomi-noach.github.io/awesome-mysql/)
|
||
* [mysqlclient](https://github.com/PyMySQL/mysqlclient) - MySQL connector with Python 3 support ([mysql-python](https://sourceforge.net/projects/mysql-python/) fork).
|
||
* [pymysql](https://github.com/PyMySQL/PyMySQL) - A pure Python MySQL driver compatible to mysql-python.
|
||
* PostgreSQL - [awesome-postgres](https://github.com/dhamaniasad/awesome-postgres)
|
||
* [psycopg](https://github.com/psycopg/psycopg) - The most popular PostgreSQL adapter for Python.
|
||
* SQlite - [awesome-sqlite](https://github.com/planetopendata/awesome-sqlite)
|
||
* [sqlite3](https://docs.python.org/3/library/sqlite3.html) - (Python standard library) SQlite interface compliant with DB-API 2.0.
|
||
* [sqlite-utils](https://github.com/simonw/sqlite-utils) - Python CLI utility and library for manipulating SQLite databases.
|
||
* Other Relational Databases
|
||
* [pymssql](https://github.com/pymssql/pymssql) - A simple database interface to Microsoft SQL Server.
|
||
* [clickhouse-driver](https://github.com/mymarilyn/clickhouse-driver) - Python driver with native interface for ClickHouse.
|
||
* NoSQL Databases
|
||
* [cassandra-driver](https://github.com/datastax/python-driver) - The Python Driver for Apache Cassandra.
|
||
* [happybase](https://github.com/python-happybase/happybase) - A developer-friendly library for Apache HBase.
|
||
* [kafka-python](https://github.com/dpkp/kafka-python) - The Python client for Apache Kafka.
|
||
* [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB.
|
||
* [motor](https://github.com/mongodb/motor) - The async Python driver for MongoDB.
|
||
* [redis-py](https://github.com/redis/redis-py) - The Python client for Redis.
|
||
|
||
## Date and Time
|
||
|
||
*Libraries for working with dates and times.*
|
||
|
||
* [arrow](https://github.com/arrow-py/arrow) - A Python library that offers a sensible and human-friendly approach to creating, manipulating, formatting and converting dates, times and timestamps.
|
||
* [dateutil](https://github.com/dateutil/dateutil) - Extensions to the standard Python [datetime](https://docs.python.org/3/library/datetime.html) module.
|
||
* [pendulum](https://github.com/sdispater/pendulum) - Python datetimes made easy.
|
||
* [pytz](https://pypi.org/project/pytz/) - World timezone definitions, modern and historical. Brings the [tz database](https://en.wikipedia.org/wiki/Tz_database) into Python.
|
||
|
||
## Debugging Tools
|
||
|
||
*Libraries for debugging code.*
|
||
|
||
* pdb-like Debugger
|
||
* [ipdb](https://github.com/gotcha/ipdb) - IPython-enabled [pdb](https://docs.python.org/3/library/pdb.html).
|
||
* [pudb](https://github.com/inducer/pudb) - A full-screen, console-based Python debugger.
|
||
* Tracing
|
||
* [manhole](https://github.com/ionelmc/python-manhole) - Debugging UNIX socket connections and present the stacktraces for all threads and an interactive prompt.
|
||
* [python-hunter](https://github.com/ionelmc/python-hunter) - A flexible code tracing toolkit.
|
||
* Profiler
|
||
* [py-spy](https://github.com/benfred/py-spy) - A sampling profiler for Python programs. Written in Rust.
|
||
* [vprof](https://github.com/nvdv/vprof) - Visual Python profiler.
|
||
* Others
|
||
* [django-debug-toolbar](https://github.com/jazzband/django-debug-toolbar) - Display various debug information for Django.
|
||
* [flask-debugtoolbar](https://github.com/pallets-eco/flask-debugtoolbar) - A port of the django-debug-toolbar to flask.
|
||
* [icecream](https://github.com/gruns/icecream) - Inspect variables, expressions, and program execution with a single, simple function call.
|
||
* [pyelftools](https://github.com/eliben/pyelftools) - Parsing and analyzing ELF files and DWARF debugging information.
|
||
|
||
## Deep Learning
|
||
|
||
*Frameworks for Neural Networks and Deep Learning. Also see [awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning).*
|
||
|
||
* [keras](https://github.com/keras-team/keras) - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.
|
||
* [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
|
||
* [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
|
||
* [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
|
||
* [theano](https://github.com/Theano/Theano) - A library for fast numerical computation.
|
||
|
||
## DevOps Tools
|
||
|
||
*Software and libraries for DevOps.*
|
||
|
||
* Configuration Management
|
||
* [ansible](https://github.com/ansible/ansible) - A radically simple IT automation platform.
|
||
* [cloudinit](https://github.com/canonical/cloud-init) - A multi-distribution package that handles early initialization of a cloud instance.
|
||
* [openstack](https://www.openstack.org/) - Open source software for building private and public clouds.
|
||
* [pyinfra](https://github.com/pyinfra-dev/pyinfra) - A versatile CLI tools and python libraries to automate infrastructure.
|
||
* [saltstack](https://github.com/saltstack/salt) - Infrastructure automation and management system.
|
||
* SSH-style Deployment
|
||
* [cuisine](https://github.com/sebastien/cuisine) - Chef-like functionality for Fabric.
|
||
* [fabric](https://github.com/fabric/fabric) - A simple, Pythonic tool for remote execution and deployment.
|
||
* Process Management
|
||
* [supervisor](https://github.com/Supervisor/supervisor) - Supervisor process control system for UNIX.
|
||
* Monitoring
|
||
* [psutil](https://github.com/giampaolo/psutil) - A cross-platform process and system utilities module.
|
||
* Backup
|
||
* [borg](https://github.com/borgbackup/borg) - A deduplicating archiver with compression and encryption.
|
||
|
||
## Distributed Computing
|
||
|
||
*Frameworks and libraries for Distributed Computing.*
|
||
|
||
* Batch Processing
|
||
* [dask](https://github.com/dask/dask) - A flexible parallel computing library for analytic computing.
|
||
* [luigi](https://github.com/spotify/luigi) - A module that helps you build complex pipelines of batch jobs.
|
||
* [PySpark](https://github.com/apache/spark) - [Apache Spark](https://spark.apache.org/) Python API.
|
||
* [Ray](https://github.com/ray-project/ray/) - A system for parallel and distributed Python that unifies the machine learning ecosystem.
|
||
* Stream Processing
|
||
* [faust](https://github.com/robinhood/faust) - A stream processing library, porting the ideas from [Kafka Streams](https://kafka.apache.org/documentation/streams/) to Python.
|
||
* [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data via [Apache Storm](http://storm.apache.org/).
|
||
|
||
## Distribution
|
||
|
||
*Libraries to create packaged executables for release distribution.*
|
||
|
||
* [py2app](https://github.com/ronaldoussoren/py2app) - Freezes Python scripts (Mac OS X).
|
||
* [py2exe](https://github.com/py2exe/py2exe) - Freezes Python scripts (Windows).
|
||
* [pyarmor](https://github.com/dashingsoft/pyarmor) - A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
|
||
* [pyinstaller](https://github.com/pyinstaller/pyinstaller) - Converts Python programs into stand-alone executables (cross-platform).
|
||
* [shiv](https://github.com/linkedin/shiv) - A command line utility for building fully self-contained zipapps (PEP 441), but with all their dependencies included.
|
||
|
||
## Documentation
|
||
|
||
*Libraries for generating project documentation.*
|
||
|
||
* [sphinx](https://github.com/sphinx-doc/sphinx/) - Python Documentation generator.
|
||
* [awesome-sphinxdoc](https://github.com/yoloseem/awesome-sphinxdoc)
|
||
* [pdoc](https://github.com/mitmproxy/pdoc) - Epydoc replacement to auto generate API documentation for Python libraries.
|
||
|
||
## Downloader
|
||
|
||
*Libraries for downloading.*
|
||
|
||
* [akshare](https://github.com/jindaxiang/akshare) - A financial data interface library, built for human beings!
|
||
* [s3cmd](https://github.com/s3tools/s3cmd) - A command line tool for managing Amazon S3 and CloudFront.
|
||
* [youtube-dl](https://github.com/ytdl-org/youtube-dl/) - A command-line program to download videos from YouTube and other video sites.
|
||
|
||
## Editor Plugins and IDEs
|
||
|
||
* Emacs
|
||
* [elpy](https://github.com/jorgenschaefer/elpy) - Emacs Python Development Environment.
|
||
* Vim
|
||
* [jedi-vim](https://github.com/davidhalter/jedi-vim) - Vim bindings for the Jedi auto-completion library for Python.
|
||
* [python-mode](https://github.com/python-mode/python-mode) - An all in one plugin for turning Vim into a Python IDE.
|
||
* [YouCompleteMe](https://github.com/Valloric/YouCompleteMe) - Includes [Jedi](https://github.com/davidhalter/jedi)-based completion engine for Python.
|
||
* Visual Studio
|
||
* [PTVS](https://github.com/Microsoft/PTVS) - Python Tools for Visual Studio.
|
||
* Visual Studio Code
|
||
* [Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python) - The official VSCode extension with rich support for Python.
|
||
* IDE
|
||
* [PyCharm](https://www.jetbrains.com/pycharm/) - Commercial Python IDE by JetBrains. Has free community edition available.
|
||
* [spyder](https://github.com/spyder-ide/spyder) - Open Source Python IDE.
|
||
|
||
## Email
|
||
|
||
*Libraries for sending and parsing email.*
|
||
|
||
* Mail Servers
|
||
* [modoboa](https://github.com/modoboa/modoboa) - A mail hosting and management platform including a modern Web UI.
|
||
* [salmon](https://github.com/moggers87/salmon) - A Python Mail Server.
|
||
* Clients
|
||
* [imbox](https://github.com/martinrusev/imbox) - Python IMAP for Humans.
|
||
* [yagmail](https://github.com/kootenpv/yagmail) - Yet another Gmail/SMTP client.
|
||
* Others
|
||
* [flanker](https://github.com/mailgun/flanker) - An email address and Mime parsing library.
|
||
* [mailer](https://github.com/marrow/mailer) - High-performance extensible mail delivery framework.
|
||
|
||
## Environment Management
|
||
|
||
*Libraries for Python version and virtual environment management.*
|
||
|
||
* [pyenv](https://github.com/pyenv/pyenv) - Simple Python version management.
|
||
* [virtualenv](https://github.com/pypa/virtualenv) - A tool to create isolated Python environments.
|
||
|
||
## File Manipulation
|
||
|
||
*Libraries for file manipulation.*
|
||
|
||
* [mimetypes](https://docs.python.org/3/library/mimetypes.html) - (Python standard library) Map filenames to MIME types.
|
||
* [pathlib](https://docs.python.org/3/library/pathlib.html) - (Python standard library) An cross-platform, object-oriented path library.
|
||
* [path.py](https://github.com/jaraco/path.py) - A module wrapper for [os.path](https://docs.python.org/3/library/os.path.html).
|
||
* [python-magic](https://github.com/ahupp/python-magic) - A Python interface to the libmagic file type identification library.
|
||
* [watchdog](https://github.com/gorakhargosh/watchdog) - API and shell utilities to monitor file system events.
|
||
|
||
## Functional Programming
|
||
|
||
*Functional Programming with Python.*
|
||
|
||
* [coconut](https://github.com/evhub/coconut) - A variant of Python built for simple, elegant, Pythonic functional programming.
|
||
* [funcy](https://github.com/Suor/funcy) - A fancy and practical functional tools.
|
||
* [more-itertools](https://github.com/erikrose/more-itertools) - More routines for operating on iterables, beyond `itertools`.
|
||
* [returns](https://github.com/dry-python/returns) - A set of type-safe monads, transformers, and composition utilities.
|
||
* [cytoolz](https://github.com/pytoolz/cytoolz/) - Cython implementation of `Toolz`: High performance functional utilities.
|
||
* [toolz](https://github.com/pytoolz/toolz) - A collection of functional utilities for iterators, functions, and dictionaries.
|
||
|
||
## GUI Development
|
||
|
||
*Libraries for working with graphical user interface applications.*
|
||
|
||
* [curses](https://docs.python.org/3/library/curses.html) - Built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
|
||
* [Eel](https://github.com/ChrisKnott/Eel) - A library for making simple Electron-like offline HTML/JS GUI apps.
|
||
* [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declarative Syntax like QML.
|
||
* [Flexx](https://github.com/zoofIO/flexx) - Flexx is a pure Python toolkit for creating GUI's, that uses web technology for its rendering.
|
||
* [Gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line.
|
||
* [kivy](https://kivy.org/) - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS.
|
||
* [pyglet](https://github.com/pyglet/pyglet) - A cross-platform windowing and multimedia library for Python.
|
||
* [PyGObject](https://pygobject.readthedocs.io/) - Python Bindings for GLib/GObject/GIO/GTK+ (GTK+3).
|
||
* [PyQt](https://doc.qt.io/qtforpython/) - Python bindings for the [Qt](https://www.qt.io/) cross-platform application and UI framework.
|
||
* [PySimpleGUI](https://github.com/PySimpleGUI/PySimpleGUI) - Wrapper for tkinter, Qt, WxPython and Remi.
|
||
* [pywebview](https://github.com/r0x0r/pywebview/) - A lightweight cross-platform native wrapper around a webview component.
|
||
* [Tkinter](https://wiki.python.org/moin/TkInter) - Tkinter is Python's de-facto standard GUI package.
|
||
* [Toga](https://github.com/pybee/toga) - A Python native, OS native GUI toolkit.
|
||
* [urwid](http://urwid.org/) - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc.
|
||
* [wxPython](https://wxpython.org/) - A blending of the wxWidgets C++ class library with the Python.
|
||
* [DearPyGui](https://github.com/RaylockLLC/DearPyGui/) - A Simple GPU accelerated Python GUI framework
|
||
|
||
## GraphQL
|
||
|
||
*Libraries for working with GraphQL.*
|
||
|
||
* [graphene](https://github.com/graphql-python/graphene/) - GraphQL framework for Python.
|
||
|
||
## Game Development
|
||
|
||
*Awesome game development libraries.*
|
||
|
||
* [Arcade](https://api.arcade.academy/en/latest/) - Arcade is a modern Python framework for crafting games with compelling graphics and sound.
|
||
* [Cocos2d](https://www.cocos.com/en/cocos2d-x) - cocos2d is a framework for building 2D games, demos, and other graphical/interactive applications.
|
||
* [Harfang3D](http://www.harfang3d.com) - Python framework for 3D, VR and game development.
|
||
* [Panda3D](https://www.panda3d.org/) - 3D game engine developed by Disney.
|
||
* [Pygame](http://www.pygame.org/news.html) - Pygame is a set of Python modules designed for writing games.
|
||
* [PyOgre](http://www.ogre3d.org/tikiwiki/PyOgre) - Python bindings for the Ogre 3D render engine, can be used for games, simulations, anything 3D.
|
||
* [PyOpenGL](http://pyopengl.sourceforge.net/) - Python ctypes bindings for OpenGL and it's related APIs.
|
||
* [PySDL2](https://pysdl2.readthedocs.io) - A ctypes based wrapper for the SDL2 library.
|
||
* [RenPy](https://www.renpy.org/) - A Visual Novel engine.
|
||
|
||
## Geolocation
|
||
|
||
*Libraries for geocoding addresses and working with latitudes and longitudes.*
|
||
|
||
* [django-countries](https://github.com/SmileyChris/django-countries) - A Django app that provides a country field for models and forms.
|
||
* [geodjango](https://docs.djangoproject.com/en/dev/ref/contrib/gis/) - A world-class geographic web framework.
|
||
* [geojson](https://github.com/jazzband/geojson) - Python bindings and utilities for GeoJSON.
|
||
* [geopy](https://github.com/geopy/geopy) - Python Geocoding Toolbox.
|
||
|
||
## HTML Manipulation
|
||
|
||
*Libraries for working with HTML and XML.*
|
||
|
||
* [beautifulsoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) - Providing Pythonic idioms for iterating, searching, and modifying HTML or XML.
|
||
* [bleach](https://github.com/mozilla/bleach) - A whitelist-based HTML sanitization and text linkification library.
|
||
* [cssutils](https://pypi.org/project/cssutils/) - A CSS library for Python.
|
||
* [html5lib](https://github.com/html5lib/html5lib-python) - A standards-compliant library for parsing and serializing HTML documents and fragments.
|
||
* [lxml](http://lxml.de/) - A very fast, easy-to-use and versatile library for handling HTML and XML.
|
||
* [markupsafe](https://github.com/pallets/markupsafe) - Implements a XML/HTML/XHTML Markup safe string for Python.
|
||
* [pyquery](https://github.com/gawel/pyquery) - A jQuery-like library for parsing HTML.
|
||
* [untangle](https://github.com/stchris/untangle) - Converts XML documents to Python objects for easy access.
|
||
* [WeasyPrint](http://weasyprint.org) - A visual rendering engine for HTML and CSS that can export to PDF.
|
||
* [xmldataset](https://xmldataset.readthedocs.io/en/latest/) - Simple XML Parsing.
|
||
* [xmltodict](https://github.com/martinblech/xmltodict) - Working with XML feel like you are working with JSON.
|
||
|
||
## HTTP Clients
|
||
|
||
*Libraries for working with HTTP.*
|
||
|
||
* [httpx](https://github.com/encode/httpx) - A next generation HTTP client for Python.
|
||
* [requests](https://github.com/psf/requests) - HTTP Requests for Humans.
|
||
* [treq](https://github.com/twisted/treq) - Python requests like API built on top of Twisted's HTTP client.
|
||
* [urllib3](https://github.com/urllib3/urllib3) - A HTTP library with thread-safe connection pooling, file post support, sanity friendly.
|
||
|
||
## Hardware
|
||
|
||
*Libraries for programming with hardware.*
|
||
|
||
* [keyboard](https://github.com/boppreh/keyboard) - Hook and simulate global keyboard events on Windows and Linux.
|
||
* [mouse](https://github.com/boppreh/mouse) - Hook and simulate global mouse events on Windows and Linux.
|
||
* [pynput](https://github.com/moses-palmer/pynput) - A library to control and monitor input devices.
|
||
* [scapy](https://github.com/secdev/scapy) - A brilliant packet manipulation library.
|
||
|
||
## Image Processing
|
||
|
||
*Libraries for manipulating images.*
|
||
|
||
* [pillow](https://github.com/python-pillow/Pillow) - Pillow is the friendly [PIL](http://www.pythonware.com/products/pil/) fork.
|
||
* [python-barcode](https://github.com/WhyNotHugo/python-barcode) - Create barcodes in Python with no extra dependencies.
|
||
* [pymatting](http://github.com/pymatting/pymatting) - A library for alpha matting.
|
||
* [python-qrcode](https://github.com/lincolnloop/python-qrcode) - A pure Python QR Code generator.
|
||
* [pywal](https://github.com/dylanaraps/pywal) - A tool that generates color schemes from images.
|
||
* [pyvips](https://github.com/libvips/pyvips) - A fast image processing library with low memory needs.
|
||
* [quads](https://github.com/fogleman/Quads) - Computer art based on quadtrees.
|
||
* [scikit-image](http://scikit-image.org/) - A Python library for (scientific) image processing.
|
||
* [thumbor](https://github.com/thumbor/thumbor) - A smart imaging service. It enables on-demand crop, re-sizing and flipping of images.
|
||
* [wand](https://github.com/emcconville/wand) - Python bindings for [MagickWand](http://www.imagemagick.org/script/magick-wand.php), C API for ImageMagick.
|
||
|
||
## Implementations
|
||
|
||
*Implementations of Python.*
|
||
|
||
* [cpython](https://github.com/python/cpython) - **Default, most widely used implementation of the Python programming language written in C.**
|
||
* [cython](https://github.com/cython/cython) - Optimizing Static Compiler for Python.
|
||
* [clpython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp.
|
||
* [ironpython](https://github.com/IronLanguages/ironpython3) - Implementation of the Python programming language written in C#.
|
||
* [micropython](https://github.com/micropython/micropython) - A lean and efficient Python programming language implementation.
|
||
* [numba](https://github.com/numba/numba) - Python JIT compiler to LLVM aimed at scientific Python.
|
||
* [peachpy](https://github.com/Maratyszcza/PeachPy) - x86-64 assembler embedded in Python.
|
||
* [pypy](https://foss.heptapod.net/pypy/pypy) - A very fast and compliant implementation of the Python language.
|
||
* [pyston](https://github.com/pyston/pyston/) - A Python implementation using JIT techniques.
|
||
|
||
## Interactive Interpreter
|
||
|
||
*Interactive Python interpreters (REPL).*
|
||
|
||
* [bpython](https://github.com/bpython/bpython) - A fancy interface to the Python interpreter.
|
||
* [Jupyter Notebook (IPython)](https://jupyter.org) - A rich toolkit to help you make the most out of using Python interactively.
|
||
* [awesome-jupyter](https://github.com/markusschanta/awesome-jupyter)
|
||
* [ptpython](https://github.com/jonathanslenders/ptpython) - Advanced Python REPL built on top of the [python-prompt-toolkit](https://github.com/jonathanslenders/python-prompt-toolkit).
|
||
|
||
## Internationalization
|
||
|
||
*Libraries for working with i18n.*
|
||
|
||
* [Babel](http://babel.pocoo.org/en/latest/) - An internationalization library for Python.
|
||
* [PyICU](https://github.com/ovalhub/pyicu) - A wrapper of International Components for Unicode C++ library ([ICU](http://site.icu-project.org/)).
|
||
|
||
## Job Scheduler
|
||
|
||
*Libraries for scheduling jobs.*
|
||
|
||
* [Airflow](https://airflow.apache.org/) - Airflow is a platform to programmatically author, schedule and monitor workflows.
|
||
* [APScheduler](http://apscheduler.readthedocs.io/en/latest/) - A light but powerful in-process task scheduler that lets you schedule functions.
|
||
* [django-schedule](https://github.com/thauber/django-schedule) - A calendaring app for Django.
|
||
* [doit](http://pydoit.org/) - A task runner and build tool.
|
||
* [gunnery](https://github.com/gunnery/gunnery) - Multipurpose task execution tool for distributed systems with web-based interface.
|
||
* [Joblib](https://joblib.readthedocs.io/) - A set of tools to provide lightweight pipelining in Python.
|
||
* [Plan](https://github.com/fengsp/plan) - Writing crontab file in Python like a charm.
|
||
* [Prefect](https://github.com/PrefectHQ/prefect) - A modern workflow orchestration framework that makes it easy to build, schedule and monitor robust data pipelines.
|
||
* [schedule](https://github.com/dbader/schedule) - Python job scheduling for humans.
|
||
* [Spiff](https://github.com/knipknap/SpiffWorkflow) - A powerful workflow engine implemented in pure Python.
|
||
* [TaskFlow](https://docs.openstack.org/developer/taskflow/) - A Python library that helps to make task execution easy, consistent and reliable.
|
||
|
||
## Logging
|
||
|
||
*Libraries for generating and working with logs.*
|
||
|
||
* [logbook](http://logbook.readthedocs.io/en/stable/) - Logging replacement for Python.
|
||
* [logging](https://docs.python.org/3/library/logging.html) - (Python standard library) Logging facility for Python.
|
||
* [loguru](https://github.com/Delgan/loguru) - Library which aims to bring enjoyable logging in Python.
|
||
* [sentry-python](https://github.com/getsentry/sentry-python) - Sentry SDK for Python.
|
||
* [structlog](https://www.structlog.org/en/stable/) - Structured logging made easy.
|
||
|
||
## Machine Learning
|
||
|
||
*Libraries for Machine Learning. Also see [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning#python).*
|
||
|
||
* [gym](https://github.com/openai/gym) - A toolkit for developing and comparing reinforcement learning algorithms.
|
||
* [H2O](https://github.com/h2oai/h2o-3) - Open Source Fast Scalable Machine Learning Platform.
|
||
* [Metrics](https://github.com/benhamner/Metrics) - Machine learning evaluation metrics.
|
||
* [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing.
|
||
* [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning.
|
||
* [Spark ML](http://spark.apache.org/docs/latest/ml-guide.html) - [Apache Spark](http://spark.apache.org/)'s scalable Machine Learning library.
|
||
* [vowpal_porpoise](https://github.com/josephreisinger/vowpal_porpoise) - A lightweight Python wrapper for [Vowpal Wabbit](https://github.com/JohnLangford/vowpal_wabbit/).
|
||
* [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
|
||
* [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
|
||
|
||
## Microsoft Windows
|
||
|
||
*Python programming on Microsoft Windows.*
|
||
|
||
* [Python(x,y)](http://python-xy.github.io/) - Scientific-applications-oriented Python Distribution based on Qt and Spyder.
|
||
* [pythonlibs](http://www.lfd.uci.edu/~gohlke/pythonlibs/) - Unofficial Windows binaries for Python extension packages.
|
||
* [PythonNet](https://github.com/pythonnet/pythonnet) - Python Integration with the .NET Common Language Runtime (CLR).
|
||
* [PyWin32](https://github.com/mhammond/pywin32) - Python Extensions for Windows.
|
||
* [WinPython](https://winpython.github.io/) - Portable development environment for Windows 7/8.
|
||
|
||
## Miscellaneous
|
||
|
||
*Useful libraries or tools that don't fit in the categories above.*
|
||
|
||
* [blinker](https://github.com/jek/blinker) - A fast Python in-process signal/event dispatching system.
|
||
* [boltons](https://github.com/mahmoud/boltons) - A set of pure-Python utilities.
|
||
* [itsdangerous](https://github.com/pallets/itsdangerous) - Various helpers to pass trusted data to untrusted environments.
|
||
* [magenta](https://github.com/magenta/magenta) - A tool to generate music and art using artificial intelligence.
|
||
* [pluginbase](https://github.com/mitsuhiko/pluginbase) - A simple but flexible plugin system for Python.
|
||
* [tryton](http://www.tryton.org/) - A general purpose business framework.
|
||
|
||
## Natural Language Processing
|
||
|
||
*Libraries for working with human languages.*
|
||
|
||
- General
|
||
* [gensim](https://github.com/RaRe-Technologies/gensim) - Topic Modeling for Humans.
|
||
* [langid.py](https://github.com/saffsd/langid.py) - Stand-alone language identification system.
|
||
* [nltk](http://www.nltk.org/) - A leading platform for building Python programs to work with human language data.
|
||
* [pattern](https://github.com/clips/pattern) - A web mining module.
|
||
* [polyglot](https://github.com/aboSamoor/polyglot) - Natural language pipeline supporting hundreds of languages.
|
||
* [pytext](https://github.com/facebookresearch/pytext) - A natural language modeling framework based on PyTorch.
|
||
* [PyTorch-NLP](https://github.com/PetrochukM/PyTorch-NLP) - A toolkit enabling rapid deep learning NLP prototyping for research.
|
||
* [spacy](https://spacy.io/) - A library for industrial-strength natural language processing in Python and Cython.
|
||
* [Stanza](https://github.com/stanfordnlp/stanza) - The Stanford NLP Group's official Python library, supporting 60+ languages.
|
||
- Chinese
|
||
* [funNLP](https://github.com/fighting41love/funNLP) - A collection of tools and datasets for Chinese NLP.
|
||
* [jieba](https://github.com/fxsjy/jieba) - The most popular Chinese text segmentation library.
|
||
* [pkuseg-python](https://github.com/lancopku/pkuseg-python) - A toolkit for Chinese word segmentation in various domains.
|
||
* [snownlp](https://github.com/isnowfy/snownlp) - A library for processing Chinese text.
|
||
|
||
## Network Virtualization
|
||
|
||
*Tools and libraries for Virtual Networking and SDN (Software Defined Networking).*
|
||
|
||
* [mininet](https://github.com/mininet/mininet) - A popular network emulator and API written in Python.
|
||
* [napalm](https://github.com/napalm-automation/napalm) - Cross-vendor API to manipulate network devices.
|
||
* [pox](https://github.com/noxrepo/pox) - A Python-based SDN control applications, such as OpenFlow SDN controllers.
|
||
|
||
## News Feed
|
||
|
||
*Libraries for building user's activities.*
|
||
|
||
* [django-activity-stream](https://github.com/justquick/django-activity-stream) - Generating generic activity streams from the actions on your site.
|
||
* [Stream Framework](https://github.com/tschellenbach/Stream-Framework) - Building news feed and notification systems using Cassandra and Redis.
|
||
|
||
## ORM
|
||
|
||
*Libraries that implement Object-Relational Mapping or data mapping techniques.*
|
||
|
||
* Relational Databases
|
||
* [Django Models](https://docs.djangoproject.com/en/dev/topics/db/models/) - The Django ORM.
|
||
* [SQLAlchemy](https://www.sqlalchemy.org/) - The Python SQL Toolkit and Object Relational Mapper.
|
||
* [awesome-sqlalchemy](https://github.com/dahlia/awesome-sqlalchemy)
|
||
* [dataset](https://github.com/pudo/dataset) - Store Python dicts in a database - works with SQLite, MySQL, and PostgreSQL.
|
||
* [orator](https://github.com/sdispater/orator) - The Orator ORM provides a simple yet beautiful ActiveRecord implementation.
|
||
* [orm](https://github.com/encode/orm) - An async ORM.
|
||
* [peewee](https://github.com/coleifer/peewee) - A small, expressive ORM.
|
||
* [pony](https://github.com/ponyorm/pony/) - ORM that provides a generator-oriented interface to SQL.
|
||
* [pydal](https://github.com/web2py/pydal/) - A pure Python Database Abstraction Layer.
|
||
* NoSQL Databases
|
||
* [hot-redis](https://github.com/stephenmcd/hot-redis) - Rich Python data types for Redis.
|
||
* [mongoengine](https://github.com/MongoEngine/mongoengine) - A Python Object-Document-Mapper for working with MongoDB.
|
||
* [PynamoDB](https://github.com/pynamodb/PynamoDB) - A Pythonic interface for [Amazon DynamoDB](https://aws.amazon.com/dynamodb/).
|
||
* [redisco](https://github.com/kiddouk/redisco) - A Python Library for Simple Models and Containers Persisted in Redis.
|
||
|
||
## Package Management
|
||
|
||
*Libraries for package and dependency management.*
|
||
|
||
* [pip](https://pip.pypa.io/en/stable/) - The package installer for Python.
|
||
* [pip-tools](https://github.com/jazzband/pip-tools) - A set of tools to keep your pinned Python dependencies fresh.
|
||
* [PyPI](https://pypi.org/)
|
||
* [conda](https://github.com/conda/conda/) - Cross-platform, Python-agnostic binary package manager.
|
||
* [poetry](https://github.com/sdispater/poetry) - Python dependency management and packaging made easy.
|
||
|
||
## Package Repositories
|
||
|
||
*Local PyPI repository server and proxies.*
|
||
|
||
* [bandersnatch](https://github.com/pypa/bandersnatch/) - PyPI mirroring tool provided by Python Packaging Authority (PyPA).
|
||
* [devpi](https://github.com/devpi/devpi) - PyPI server and packaging/testing/release tool.
|
||
* [localshop](https://github.com/jazzband/localshop) - Local PyPI server (custom packages and auto-mirroring of pypi).
|
||
* [warehouse](https://github.com/pypa/warehouse) - Next generation Python Package Repository (PyPI).
|
||
|
||
## Penetration Testing
|
||
|
||
*Frameworks and tools for penetration testing.*
|
||
|
||
* [fsociety](https://github.com/Manisso/fsociety) - A Penetration testing framework.
|
||
* [setoolkit](https://github.com/trustedsec/social-engineer-toolkit) - A toolkit for social engineering.
|
||
* [sqlmap](https://github.com/sqlmapproject/sqlmap) - Automatic SQL injection and database takeover tool.
|
||
|
||
## Permissions
|
||
|
||
*Libraries that allow or deny users access to data or functionality.*
|
||
|
||
* [django-guardian](https://github.com/django-guardian/django-guardian) - Implementation of per object permissions for Django 1.2+
|
||
* [django-rules](https://github.com/dfunckt/django-rules) - A tiny but powerful app providing object-level permissions to Django, without requiring a database.
|
||
|
||
## Processes
|
||
|
||
*Libraries for starting and communicating with OS processes.*
|
||
|
||
* [delegator.py](https://github.com/amitt001/delegator.py) - [Subprocesses](https://docs.python.org/3/library/subprocess.html) for Humans 2.0.
|
||
* [sarge](https://sarge.readthedocs.io/en/latest/) - Yet another wrapper for subprocess.
|
||
* [sh](https://github.com/amoffat/sh) - A full-fledged subprocess replacement for Python.
|
||
|
||
## Recommender Systems
|
||
|
||
*Libraries for building recommender systems.*
|
||
|
||
* [annoy](https://github.com/spotify/annoy) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.
|
||
* [fastFM](https://github.com/ibayer/fastFM) - A library for Factorization Machines.
|
||
* [implicit](https://github.com/benfred/implicit) - A fast Python implementation of collaborative filtering for implicit datasets.
|
||
* [libffm](https://github.com/guestwalk/libffm) - A library for Field-aware Factorization Machine (FFM).
|
||
* [lightfm](https://github.com/lyst/lightfm) - A Python implementation of a number of popular recommendation algorithms.
|
||
* [spotlight](https://github.com/maciejkula/spotlight) - Deep recommender models using PyTorch.
|
||
* [Surprise](https://github.com/NicolasHug/Surprise) - A scikit for building and analyzing recommender systems.
|
||
* [tensorrec](https://github.com/jfkirk/tensorrec) - A Recommendation Engine Framework in TensorFlow.
|
||
|
||
## Refactoring
|
||
|
||
*Refactoring tools and libraries for Python*
|
||
|
||
* [Bicycle Repair Man](http://bicyclerepair.sourceforge.net/) - Bicycle Repair Man, a refactoring tool for Python.
|
||
* [Bowler](https://pybowler.io/) - Safe code refactoring for modern Python.
|
||
* [Rope](https://github.com/python-rope/rope) - Rope is a python refactoring library.
|
||
|
||
## RESTful API
|
||
|
||
*Libraries for building RESTful APIs.*
|
||
|
||
* Django
|
||
* [django-rest-framework](https://github.com/encode/django-rest-framework) - A powerful and flexible toolkit to build web APIs.
|
||
* [django-tastypie](https://github.com/django-tastypie/django-tastypie) - Creating delicious APIs for Django apps.
|
||
* Flask
|
||
* [eve](https://github.com/pyeve/eve) - REST API framework powered by Flask, MongoDB and good intentions.
|
||
* [flask-api](https://github.com/flask-api/flask-api) - Browsable Web APIs for Flask.
|
||
* [flask-restful](https://github.com/flask-restful/flask-restful) - Quickly building REST APIs for Flask.
|
||
* Pyramid
|
||
* [cornice](https://github.com/Cornices/cornice) - A RESTful framework for Pyramid.
|
||
* Framework agnostic
|
||
* [falcon](https://github.com/falconry/falcon) - A high-performance framework for building cloud APIs and web app backends.
|
||
* [fastapi](https://github.com/tiangolo/fastapi) - A modern, fast, web framework for building APIs with Python 3.6+ based on standard Python type hints.
|
||
* [hug](https://github.com/hugapi/hug) - A Python 3 framework for cleanly exposing APIs.
|
||
* [sandman2](https://github.com/jeffknupp/sandman2) - Automated REST APIs for existing database-driven systems.
|
||
* [sanic](https://github.com/sanic-org/sanic) - A Python 3.6+ web server and web framework that's written to go fast.
|
||
|
||
## Robotics
|
||
|
||
*Libraries for robotics.*
|
||
|
||
* [PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics) - This is a compilation of various robotics algorithms with visualizations.
|
||
* [rospy](http://wiki.ros.org/rospy) - This is a library for ROS (Robot Operating System).
|
||
|
||
## RPC Servers
|
||
|
||
*RPC-compatible servers.*
|
||
|
||
* [RPyC](https://github.com/tomerfiliba/rpyc) (Remote Python Call) - A transparent and symmetric RPC library for Python
|
||
* [zeroRPC](https://github.com/0rpc/zerorpc-python) - zerorpc is a flexible RPC implementation based on [ZeroMQ](http://zeromq.org/) and [MessagePack](http://msgpack.org/).
|
||
|
||
## Science
|
||
|
||
*Libraries for scientific computing. Also see [Python-for-Scientists](https://github.com/TomNicholas/Python-for-Scientists).*
|
||
|
||
* [astropy](http://www.astropy.org/) - A community Python library for Astronomy.
|
||
* [bcbio-nextgen](https://github.com/chapmanb/bcbio-nextgen) - Providing best-practice pipelines for fully automated high throughput sequencing analysis.
|
||
* [bccb](https://github.com/chapmanb/bcbb) - Collection of useful code related to biological analysis.
|
||
* [Biopython](http://biopython.org/wiki/Main_Page) - Biopython is a set of freely available tools for biological computation.
|
||
* [cclib](http://cclib.github.io/) - A library for parsing and interpreting the results of computational chemistry packages.
|
||
* [Colour](http://colour-science.org/) - Implementing a comprehensive number of colour theory transformations and algorithms.
|
||
* [Karate Club](https://github.com/benedekrozemberczki/karateclub) - Unsupervised machine learning toolbox for graph structured data.
|
||
* [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks.
|
||
* [NIPY](http://nipy.org) - A collection of neuroimaging toolkits.
|
||
* [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python.
|
||
* [ObsPy](https://github.com/obspy/obspy/wiki/) - A Python toolbox for seismology.
|
||
* [Open Babel](https://open-babel.readthedocs.io/) - A chemical toolbox designed to speak the many languages of chemical data.
|
||
* [PyDy](http://www.pydy.org/) - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion.
|
||
* [PyMC](https://github.com/pymc-devs/pymc3) - Markov Chain Monte Carlo sampling toolkit.
|
||
* [QuTiP](http://qutip.org/) - Quantum Toolbox in Python.
|
||
* [RDKit](http://www.rdkit.org/) - Cheminformatics and Machine Learning Software.
|
||
* [SciPy](https://www.scipy.org/) - A Python-based ecosystem of open-source software for mathematics, science, and engineering.
|
||
* [SimPy](https://gitlab.com/team-simpy/simpy) - A process-based discrete-event simulation framework.
|
||
* [statsmodels](https://github.com/statsmodels/statsmodels) - Statistical modeling and econometrics in Python.
|
||
* [SymPy](https://github.com/sympy/sympy) - A Python library for symbolic mathematics.
|
||
* [Zipline](https://github.com/quantopian/zipline) - A Pythonic algorithmic trading library.
|
||
|
||
## Search
|
||
|
||
*Libraries and software for indexing and performing search queries on data.*
|
||
|
||
* [django-haystack](https://github.com/django-haystack/django-haystack) - Modular search for Django.
|
||
* [elasticsearch-dsl-py](https://github.com/elastic/elasticsearch-dsl-py) - The official high-level Python client for Elasticsearch.
|
||
* [elasticsearch-py](https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/index.html) - The official low-level Python client for [Elasticsearch](https://www.elastic.co/products/elasticsearch).
|
||
* [pysolr](https://github.com/django-haystack/pysolr) - A lightweight Python wrapper for [Apache Solr](https://lucene.apache.org/solr/).
|
||
* [whoosh](http://whoosh.readthedocs.io/en/latest/) - A fast, pure Python search engine library.
|
||
|
||
## Serialization
|
||
|
||
*Libraries for serializing complex data types*
|
||
|
||
* [marshmallow](https://github.com/marshmallow-code/marshmallow) - A lightweight library for converting complex objects to and from simple Python datatypes.
|
||
* [pysimdjson](https://github.com/TkTech/pysimdjson) - A Python bindings for [simdjson](https://github.com/lemire/simdjson).
|
||
* [python-rapidjson](https://github.com/python-rapidjson/python-rapidjson) - A Python wrapper around [RapidJSON](https://github.com/Tencent/rapidjson).
|
||
* [ultrajson](https://github.com/esnme/ultrajson) - A fast JSON decoder and encoder written in C with Python bindings.
|
||
|
||
## Serverless Frameworks
|
||
|
||
*Frameworks for developing serverless Python code.*
|
||
|
||
* [python-lambda](https://github.com/nficano/python-lambda) - A toolkit for developing and deploying Python code in AWS Lambda.
|
||
* [Zappa](https://github.com/zappa/Zappa) - A tool for deploying WSGI applications on AWS Lambda and API Gateway.
|
||
|
||
## Shell
|
||
|
||
*Shells based on Python.*
|
||
|
||
* [xonsh](https://github.com/xonsh/xonsh/) - A Python-powered, cross-platform, Unix-gazing shell language and command prompt.
|
||
|
||
## Specific Formats Processing
|
||
|
||
*Libraries for parsing and manipulating specific text formats.*
|
||
|
||
* General
|
||
* [tablib](https://github.com/jazzband/tablib) - A module for Tabular Datasets in XLS, CSV, JSON, YAML.
|
||
* Office
|
||
* [docxtpl](https://github.com/elapouya/python-docx-template) - Editing a docx document by jinja2 template
|
||
* [openpyxl](https://openpyxl.readthedocs.io/en/stable/) - A library for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files.
|
||
* [pyexcel](https://github.com/pyexcel/pyexcel) - Providing one API for reading, manipulating and writing csv, ods, xls, xlsx and xlsm files.
|
||
* [python-docx](https://github.com/python-openxml/python-docx) - Reads, queries and modifies Microsoft Word 2007/2008 docx files.
|
||
* [python-pptx](https://github.com/scanny/python-pptx) - Python library for creating and updating PowerPoint (.pptx) files.
|
||
* [unoconv](https://github.com/unoconv/unoconv) - Convert between any document format supported by LibreOffice/OpenOffice.
|
||
* [XlsxWriter](https://github.com/jmcnamara/XlsxWriter) - A Python module for creating Excel .xlsx files.
|
||
* [xlwings](https://github.com/ZoomerAnalytics/xlwings) - A BSD-licensed library that makes it easy to call Python from Excel and vice versa.
|
||
* [xlwt](https://github.com/python-excel/xlwt) / [xlrd](https://github.com/python-excel/xlrd) - Writing and reading data and formatting information from Excel files.
|
||
* PDF
|
||
* [pdfminer.six](https://github.com/pdfminer/pdfminer.six) - Pdfminer.six is a community maintained fork of the original PDFMiner.
|
||
* [PyPDF2](https://github.com/mstamy2/PyPDF2) - A library capable of splitting, merging and transforming PDF pages.
|
||
* [ReportLab](https://www.reportlab.com/opensource/) - Allowing Rapid creation of rich PDF documents.
|
||
* Markdown
|
||
* [Mistune](https://github.com/lepture/mistune) - Fastest and full featured pure Python parsers of Markdown.
|
||
* [Python-Markdown](https://github.com/waylan/Python-Markdown) - A Python implementation of John Gruber’s Markdown.
|
||
* YAML
|
||
* [PyYAML](http://pyyaml.org/) - YAML implementations for Python.
|
||
* CSV
|
||
* [csvkit](https://github.com/wireservice/csvkit) - Utilities for converting to and working with CSV.
|
||
* Archive
|
||
* [unp](https://github.com/mitsuhiko/unp) - A command line tool that can unpack archives easily.
|
||
|
||
## Static Site Generator
|
||
|
||
*Static site generator is a software that takes some text + templates as input and produces HTML files on the output.*
|
||
|
||
* [lektor](https://github.com/lektor/lektor) - An easy to use static CMS and blog engine.
|
||
* [mkdocs](https://github.com/mkdocs/mkdocs/) - Markdown friendly documentation generator.
|
||
* [makesite](https://github.com/sunainapai/makesite) - Simple, lightweight, and magic-free static site/blog generator (< 130 lines).
|
||
* [nikola](https://github.com/getnikola/nikola) - A static website and blog generator.
|
||
* [pelican](https://github.com/getpelican/pelican) - Static site generator that supports Markdown and reST syntax.
|
||
|
||
## Tagging
|
||
|
||
*Libraries for tagging items.*
|
||
|
||
* [django-taggit](https://github.com/jazzband/django-taggit) - Simple tagging for Django.
|
||
|
||
## Task Queues
|
||
|
||
*Libraries for working with task queues.*
|
||
|
||
* [celery](https://docs.celeryproject.org/en/stable/) - An asynchronous task queue/job queue based on distributed message passing.
|
||
* [dramatiq](https://github.com/Bogdanp/dramatiq) - A fast and reliable background task processing library for Python 3.
|
||
* [huey](https://github.com/coleifer/huey) - Little multi-threaded task queue.
|
||
* [mrq](https://github.com/pricingassistant/mrq) - A distributed worker task queue in Python using Redis & gevent.
|
||
* [rq](https://github.com/rq/rq) - Simple job queues for Python.
|
||
|
||
## Template Engine
|
||
|
||
*Libraries and tools for templating and lexing.*
|
||
|
||
* [Genshi](https://genshi.edgewall.org/) - Python templating toolkit for generation of web-aware output.
|
||
* [Jinja2](https://github.com/pallets/jinja) - A modern and designer friendly templating language.
|
||
* [Mako](http://www.makotemplates.org/) - Hyperfast and lightweight templating for the Python platform.
|
||
|
||
## Testing
|
||
|
||
*Libraries for testing codebases and generating test data.*
|
||
|
||
* Testing Frameworks
|
||
* [hypothesis](https://github.com/HypothesisWorks/hypothesis) - Hypothesis is an advanced Quickcheck style property based testing library.
|
||
* [nose2](https://github.com/nose-devs/nose2) - The successor to `nose`, based on `unittest2.
|
||
* [pytest](https://docs.pytest.org/en/latest/) - A mature full-featured Python testing tool.
|
||
* [Robot Framework](https://github.com/robotframework/robotframework) - A generic test automation framework.
|
||
* [unittest](https://docs.python.org/3/library/unittest.html) - (Python standard library) Unit testing framework.
|
||
* Test Runners
|
||
* [green](https://github.com/CleanCut/green) - A clean, colorful test runner.
|
||
* [mamba](http://nestorsalceda.github.io/mamba/) - The definitive testing tool for Python. Born under the banner of BDD.
|
||
* [tox](https://tox.readthedocs.io/en/latest/) - Auto builds and tests distributions in multiple Python versions
|
||
* GUI / Web Testing
|
||
* [locust](https://github.com/locustio/locust) - Scalable user load testing tool written in Python.
|
||
* [PyAutoGUI](https://github.com/asweigart/pyautogui) - PyAutoGUI is a cross-platform GUI automation Python module for human beings.
|
||
* [Schemathesis](https://github.com/kiwicom/schemathesis) - A tool for automatic property-based testing of web applications built with Open API / Swagger specifications.
|
||
* [Selenium](https://pypi.org/project/selenium/) - Python bindings for [Selenium](http://www.seleniumhq.org/) WebDriver.
|
||
* [sixpack](https://github.com/seatgeek/sixpack) - A language-agnostic A/B Testing framework.
|
||
* [splinter](https://github.com/cobrateam/splinter) - Open source tool for testing web applications.
|
||
* Mock
|
||
* [doublex](https://pypi.org/project/doublex/) - Powerful test doubles framework for Python.
|
||
* [freezegun](https://github.com/spulec/freezegun) - Travel through time by mocking the datetime module.
|
||
* [httmock](https://github.com/patrys/httmock) - A mocking library for requests for Python 2.6+ and 3.2+.
|
||
* [httpretty](https://github.com/gabrielfalcao/HTTPretty) - HTTP request mock tool for Python.
|
||
* [mock](https://docs.python.org/3/library/unittest.mock.html) - (Python standard library) A mocking and patching library.
|
||
* [mocket](https://github.com/mindflayer/python-mocket) - A socket mock framework with gevent/asyncio/SSL support.
|
||
* [responses](https://github.com/getsentry/responses) - A utility library for mocking out the requests Python library.
|
||
* [VCR.py](https://github.com/kevin1024/vcrpy) - Record and replay HTTP interactions on your tests.
|
||
* Object Factories
|
||
* [factory_boy](https://github.com/FactoryBoy/factory_boy) - A test fixtures replacement for Python.
|
||
* [mixer](https://github.com/klen/mixer) - Another fixtures replacement. Supports Django, Flask, SQLAlchemy, Peewee and etc.
|
||
* [model_mommy](https://github.com/vandersonmota/model_mommy) - Creating random fixtures for testing in Django.
|
||
* Code Coverage
|
||
* [coverage](https://pypi.org/project/coverage/) - Code coverage measurement.
|
||
* Fake Data
|
||
* [fake2db](https://github.com/emirozer/fake2db) - Fake database generator.
|
||
* [faker](https://github.com/joke2k/faker) - A Python package that generates fake data.
|
||
* [mimesis](https://github.com/lk-geimfari/mimesis) - is a Python library that help you generate fake data.
|
||
* [radar](https://pypi.org/project/radar/) - Generate random datetime / time.
|
||
|
||
## Text Processing
|
||
|
||
*Libraries for parsing and manipulating plain texts.*
|
||
|
||
* General
|
||
* [chardet](https://github.com/chardet/chardet) - Python 2/3 compatible character encoding detector.
|
||
* [difflib](https://docs.python.org/3/library/difflib.html) - (Python standard library) Helpers for computing deltas.
|
||
* [ftfy](https://github.com/LuminosoInsight/python-ftfy) - Makes Unicode text less broken and more consistent automagically.
|
||
* [fuzzywuzzy](https://github.com/seatgeek/fuzzywuzzy) - Fuzzy String Matching.
|
||
* [Levenshtein](https://github.com/ztane/python-Levenshtein/) - Fast computation of Levenshtein distance and string similarity.
|
||
* [pangu.py](https://github.com/vinta/pangu.py) - Paranoid text spacing.
|
||
* [pyfiglet](https://github.com/pwaller/pyfiglet) - An implementation of figlet written in Python.
|
||
* [pypinyin](https://github.com/mozillazg/python-pinyin) - Convert Chinese hanzi (漢字) to pinyin (拼音).
|
||
* [textdistance](https://github.com/orsinium/textdistance) - Compute distance between sequences with 30+ algorithms.
|
||
* [unidecode](https://pypi.org/project/Unidecode/) - ASCII transliterations of Unicode text.
|
||
* Slugify
|
||
* [awesome-slugify](https://github.com/dimka665/awesome-slugify) - A Python slugify library that can preserve unicode.
|
||
* [python-slugify](https://github.com/un33k/python-slugify) - A Python slugify library that translates unicode to ASCII.
|
||
* [unicode-slugify](https://github.com/mozilla/unicode-slugify) - A slugifier that generates unicode slugs with Django as a dependency.
|
||
* Unique identifiers
|
||
* [hashids](https://github.com/davidaurelio/hashids-python) - Implementation of [hashids](http://hashids.org) in Python.
|
||
* [shortuuid](https://github.com/skorokithakis/shortuuid) - A generator library for concise, unambiguous and URL-safe UUIDs.
|
||
* Parser
|
||
* [ply](https://github.com/dabeaz/ply) - Implementation of lex and yacc parsing tools for Python.
|
||
* [pygments](http://pygments.org/) - A generic syntax highlighter.
|
||
* [pyparsing](https://github.com/pyparsing/pyparsing) - A general purpose framework for generating parsers.
|
||
* [python-nameparser](https://github.com/derek73/python-nameparser) - Parsing human names into their individual components.
|
||
* [python-phonenumbers](https://github.com/daviddrysdale/python-phonenumbers) - Parsing, formatting, storing and validating international phone numbers.
|
||
* [python-user-agents](https://github.com/selwin/python-user-agents) - Browser user agent parser.
|
||
* [sqlparse](https://github.com/andialbrecht/sqlparse) - A non-validating SQL parser.
|
||
|
||
## Third-party APIs
|
||
|
||
*Libraries for accessing third party services APIs. Also see [List of Python API Wrappers and Libraries](https://github.com/realpython/list-of-python-api-wrappers).*
|
||
|
||
* [apache-libcloud](https://libcloud.apache.org/) - One Python library for all clouds.
|
||
* [boto3](https://github.com/boto/boto3) - Python interface to Amazon Web Services.
|
||
* [django-wordpress](https://github.com/istrategylabs/django-wordpress) - WordPress models and views for Django.
|
||
* [facebook-sdk](https://github.com/mobolic/facebook-sdk) - Facebook Platform Python SDK.
|
||
* [google-api-python-client](https://github.com/google/google-api-python-client) - Google APIs Client Library for Python.
|
||
* [gspread](https://github.com/burnash/gspread) - Google Spreadsheets Python API.
|
||
* [twython](https://github.com/ryanmcgrath/twython) - A Python wrapper for the Twitter API.
|
||
|
||
## URL Manipulation
|
||
|
||
*Libraries for parsing URLs.*
|
||
|
||
* [furl](https://github.com/gruns/furl) - A small Python library that makes parsing and manipulating URLs easy.
|
||
* [purl](https://github.com/codeinthehole/purl) - A simple, immutable URL class with a clean API for interrogation and manipulation.
|
||
* [pyshorteners](https://github.com/ellisonleao/pyshorteners) - A pure Python URL shortening lib.
|
||
* [webargs](https://github.com/marshmallow-code/webargs) - A friendly library for parsing HTTP request arguments with built-in support for popular web frameworks.
|
||
|
||
## Video
|
||
|
||
*Libraries for manipulating video and GIFs.*
|
||
|
||
* [moviepy](https://zulko.github.io/moviepy/) - A module for script-based movie editing with many formats, including animated GIFs.
|
||
* [scikit-video](https://github.com/aizvorski/scikit-video) - Video processing routines for SciPy.
|
||
* [vidgear](https://github.com/abhiTronix/vidgear) - Most Powerful multi-threaded Video Processing framework.
|
||
|
||
## Web Asset Management
|
||
|
||
*Tools for managing, compressing and minifying website assets.*
|
||
|
||
* [django-compressor](https://github.com/django-compressor/django-compressor) - Compresses linked and inline JavaScript or CSS into a single cached file.
|
||
* [django-pipeline](https://github.com/jazzband/django-pipeline) - An asset packaging library for Django.
|
||
* [django-storages](https://github.com/jschneier/django-storages) - A collection of custom storage back ends for Django.
|
||
* [fanstatic](http://www.fanstatic.org/en/latest/) - Packages, optimizes, and serves static file dependencies as Python packages.
|
||
* [fileconveyor](http://wimleers.com/fileconveyor) - A daemon to detect and sync files to CDNs, S3 and FTP.
|
||
* [flask-assets](https://github.com/miracle2k/flask-assets) - Helps you integrate webassets into your Flask app.
|
||
* [webassets](https://github.com/miracle2k/webassets) - Bundles, optimizes, and manages unique cache-busting URLs for static resources.
|
||
|
||
## Web Content Extracting
|
||
|
||
*Libraries for extracting web contents.*
|
||
|
||
* [html2text](https://github.com/Alir3z4/html2text) - Convert HTML to Markdown-formatted text.
|
||
* [lassie](https://github.com/michaelhelmick/lassie) - Web Content Retrieval for Humans.
|
||
* [micawber](https://github.com/coleifer/micawber) - A small library for extracting rich content from URLs.
|
||
* [newspaper](https://github.com/codelucas/newspaper) - News extraction, article extraction and content curation in Python.
|
||
* [python-readability](https://github.com/buriy/python-readability) - Fast Python port of arc90's readability tool.
|
||
* [requests-html](https://github.com/psf/requests-html) - Pythonic HTML Parsing for Humans.
|
||
* [sumy](https://github.com/miso-belica/sumy) - A module for automatic summarization of text documents and HTML pages.
|
||
* [textract](https://github.com/deanmalmgren/textract) - Extract text from any document, Word, PowerPoint, PDFs, etc.
|
||
* [toapi](https://github.com/gaojiuli/toapi) - Every web site provides APIs.
|
||
|
||
## Web Crawling
|
||
|
||
*Libraries to automate web scraping.*
|
||
|
||
* [feedparser](https://github.com/kurtmckee/feedparser) - Universal feed parser.
|
||
* [grab](https://github.com/lorien/grab) - Site scraping framework.
|
||
* [mechanicalsoup](https://github.com/MechanicalSoup/MechanicalSoup) - A Python library for automating interaction with websites.
|
||
* [scrapy](https://github.com/scrapy/scrapy) - A fast high-level screen scraping and web crawling framework.
|
||
|
||
## Web Frameworks
|
||
|
||
*Traditional full stack web frameworks. Also see [RESTful API](https://github.com/vinta/awesome-python#restful-api).*
|
||
|
||
* Synchronous
|
||
* [django](https://github.com/django/django) - The most popular web framework in Python.
|
||
* [awesome-django](https://github.com/shahraizali/awesome-django)
|
||
* [awesome-django](https://github.com/wsvincent/awesome-django)
|
||
* [flask](https://github.com/pallets/flask) - A microframework for Python.
|
||
* [awesome-flask](https://github.com/humiaozuzu/awesome-flask)
|
||
* [pyramid](https://pylonsproject.org/) - A small, fast, down-to-earth, open source Python web framework.
|
||
* [awesome-pyramid](https://github.com/uralbash/awesome-pyramid)
|
||
* [masonite](https://github.com/MasoniteFramework/masonite) - The modern and developer centric Python web framework.
|
||
* Asynchronous
|
||
* [tornado](https://github.com/tornadoweb/tornado) - A web framework and asynchronous networking library.
|
||
|
||
## WebSocket
|
||
|
||
*Libraries for working with WebSocket.*
|
||
|
||
* [autobahn-python](https://github.com/crossbario/autobahn-python) - WebSocket & WAMP for Python on Twisted and [asyncio](https://docs.python.org/3/library/asyncio.html).
|
||
* [channels](https://github.com/django/channels) - Developer-friendly asynchrony for Django.
|
||
* [websockets](https://github.com/aaugustin/websockets) - A library for building WebSocket servers and clients with a focus on correctness and simplicity.
|
||
|
||
## WSGI Servers
|
||
|
||
*WSGI-compatible web servers.*
|
||
|
||
* [gunicorn](https://github.com/benoitc/gunicorn) - Pre-forked, ported from Ruby's Unicorn project.
|
||
* [uwsgi](https://uwsgi-docs.readthedocs.io/en/latest/) - A project aims at developing a full stack for building hosting services, written in C.
|
||
* [waitress](https://github.com/Pylons/waitress) - Multi-threaded, powers Pyramid.
|
||
* [werkzeug](https://github.com/pallets/werkzeug) - A WSGI utility library for Python that powers Flask and can easily be embedded into your own projects.
|
||
|
||
# Resources
|
||
|
||
Where to discover learning resources or new Python libraries.
|
||
|
||
## Newsletters
|
||
|
||
* [Awesome Python Newsletter](http://python.libhunt.com/newsletter)
|
||
* [Pycoder's Weekly](https://pycoders.com/)
|
||
* [Python Tricks](https://realpython.com/python-tricks/)
|
||
* [Python Weekly](https://www.pythonweekly.com/)
|
||
|
||
## Podcasts
|
||
|
||
* [Django Chat](https://djangochat.com/)
|
||
* [Python Bytes](https://pythonbytes.fm)
|
||
* [Talk Python To Me](https://talkpython.fm/)
|
||
* [Python Test](https://podcast.pythontest.com/)
|
||
* [The Real Python Podcast](https://realpython.com/podcasts/rpp/)
|
||
|
||
# Contributing
|
||
|
||
Your contributions are always welcome! Please take a look at the [contribution guidelines](https://github.com/vinta/awesome-python/blob/master/CONTRIBUTING.md) first.
|
||
|
||
- - -
|
||
|
||
If you have any question about this opinionated list, do not hesitate to contact me [@VintaChen](https://twitter.com/VintaChen) on Twitter or open an issue on GitHub.
|
||
|