# Awesome Python [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) A curated list of awesome Python frameworks, libraries, software and resources. Inspired by [awesome-php](https://github.com/ziadoz/awesome-php). - [Awesome Python](#awesome-python) - [Admin Panels](#admin-panels) - [Algorithms and Design Patterns](#algorithms-and-design-patterns) - [ASGI Servers](#asgi-servers) - [Asynchronous Programming](#asynchronous-programming) - [Audio](#audio) - [Authentication](#authentication) - [Build Tools](#build-tools) - [Built-in Classes Enhancement](#built-in-classes-enhancement) - [Caching](#caching) - [ChatOps Tools](#chatops-tools) - [CMS](#cms) - [Code Analysis](#code-analysis) - [Command-line Interface Development](#command-line-interface-development) - [Command-line Tools](#command-line-tools) - [Compatibility](#compatibility) - [Computer Vision](#computer-vision) - [Concurrency and Parallelism](#concurrency-and-parallelism) - [Configuration](#configuration) - [Cryptography](#cryptography) - [Data Analysis](#data-analysis) - [Data Validation](#data-validation) - [Data Visualization](#data-visualization) - [Database Drivers](#database-drivers) - [Database](#database) - [Date and Time](#date-and-time) - [Debugging Tools](#debugging-tools) - [Deep Learning](#deep-learning) - [DevOps Tools](#devops-tools) - [Distributed Computing](#distributed-computing) - [Distribution](#distribution) - [Documentation](#documentation) - [Downloader](#downloader) - [E-commerce](#e-commerce) - [Editor Plugins and IDEs](#editor-plugins-and-ides) - [Email](#email) - [Environment Management](#environment-management) - [Files](#files) - [Foreign Function Interface](#foreign-function-interface) - [Forms](#forms) - [Functional Programming](#functional-programming) - [Game Development](#game-development) - [Geolocation](#geolocation) - [GUI Development](#gui-development) - [Hardware](#hardware) - [HTML Manipulation](#html-manipulation) - [HTTP Clients](#http-clients) - [Image Processing](#image-processing) - [Implementations](#implementations) - [Interactive Interpreter](#interactive-interpreter) - [Internationalization](#internationalization) - [Job Scheduler](#job-scheduler) - [Logging](#logging) - [Machine Learning](#machine-learning) - [Miscellaneous](#miscellaneous) - [Natural Language Processing](#natural-language-processing) - [Network Virtualization](#network-virtualization) - [News Feed](#news-feed) - [ORM](#orm) - [Package Management](#package-management) - [Package Repositories](#package-repositories) - [Permissions](#permissions) - [Processes](#processes) - [Recommender Systems](#recommender-systems) - [Refactoring](#refactoring) - [RESTful API](#restful-api) - [Robotics](#robotics) - [RPC Servers](#rpc-servers) - [Science](#science) - [Search](#search) - [Serialization](#serialization) - [Serverless Frameworks](#serverless-frameworks) - [Specific Formats Processing](#specific-formats-processing) - [Static Site Generator](#static-site-generator) - [Tagging](#tagging) - [Task Queues](#task-queues) - [Template Engine](#template-engine) - [Testing](#testing) - [Text Processing](#text-processing) - [Third-party APIs](#third-party-apis) - [URL Manipulation](#url-manipulation) - [Video](#video) - [Web Asset Management](#web-asset-management) - [Web Content Extracting](#web-content-extracting) - [Web Crawling](#web-crawling) - [Web Frameworks](#web-frameworks) - [WebSocket](#websocket) - [WSGI Servers](#wsgi-servers) - [Resources](#resources) - [Podcasts](#podcasts) - [Twitter](#twitter) - [Websites](#websites) - [Weekly](#weekly) - [Contributing](#contributing) --- ## Admin Panels *Libraries for administrative interfaces.* * [ajenti](https://github.com/ajenti/ajenti) - The admin panel your servers deserve. * [django-grappelli](https://grappelliproject.com/) - A jazzy skin for the Django Admin-Interface. * [django-jet](https://github.com/geex-arts/django-jet) - Modern responsive template for the Django admin interface with improved functionality. * [django-suit](https://djangosuit.com/) - Alternative Django Admin-Interface (free only for Non-commercial use). * [django-xadmin](https://github.com/sshwsfc/xadmin) - Drop-in replacement of Django admin comes with lots of goodies. * [jet-bridge](https://github.com/jet-admin/jet-bridge) - Admin panel framework for any application with nice UI (ex Jet Django) * [flask-admin](https://github.com/flask-admin/flask-admin) - Simple and extensible administrative interface framework for Flask. * [flower](https://github.com/mher/flower) - Real-time monitor and web admin for Celery. * [wooey](https://github.com/wooey/wooey) - A Django app which creates automatic web UIs for Python scripts. ## Algorithms and Design Patterns *Python implementation of algorithms and design patterns.* * [algorithms](https://github.com/keon/algorithms) - Minimal examples of data structures and algorithms in Python. * [PyPattyrn](https://github.com/tylerlaberge/PyPattyrn) - A simple yet effective library for implementing common design patterns. * [python-patterns](https://github.com/faif/python-patterns) - A collection of design patterns in Python. * [sortedcontainers](https://github.com/grantjenks/python-sortedcontainers) - Fast, pure-Python implementation of SortedList, SortedDict, and SortedSet types. ## ASGI Servers *ASGI-compatible web servers.* * [uvicorn](https://github.com/encode/uvicorn) - Uvicorn is a lightning-fast ASGI server implementation, using uvloop and httptools. ## Asynchronous Programming * [asyncio](https://docs.python.org/3/library/asyncio.html) - (Python standard library) Asynchronous I/O, event loop, coroutines and tasks. - [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio) * [uvloop](https://github.com/MagicStack/uvloop) - Ultra fast asyncio event loop. * [Twisted](https://twistedmatrix.com/trac/) - An event-driven networking engine. ## Audio *Libraries for manipulating audio and its metadata.* * Audio * [audioread](https://github.com/beetbox/audioread) - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding. * [dejavu](https://github.com/worldveil/dejavu) - Audio fingerprinting and recognition. * [mingus](http://bspaans.github.io/python-mingus/) - An advanced music theory and notation package with MIDI file and playback support. * [pyAudioAnalysis](https://github.com/tyiannak/pyAudioAnalysis) - Audio feature extraction, classification, segmentation and applications. * [pydub](https://github.com/jiaaro/pydub) - Manipulate audio with a simple and easy high level interface. * [TimeSide](https://github.com/Parisson/TimeSide) - Open web audio processing framework. * Metadata * [beets](https://github.com/beetbox/beets) - A music library manager and [MusicBrainz](https://musicbrainz.org/) tagger. * [eyeD3](https://github.com/nicfit/eyeD3) - A tool for working with audio files, specifically MP3 files containing ID3 metadata. * [mutagen](https://github.com/quodlibet/mutagen) - A Python module to handle audio metadata. * [tinytag](https://github.com/devsnd/tinytag) - A library for reading music meta data of MP3, OGG, FLAC and Wave files. ## Authentication *Libraries for implementing authentications schemes.* * OAuth * [authlib](https://github.com/lepture/authlib) - JavaScript Object Signing and Encryption draft implementation. * [django-allauth](https://github.com/pennersr/django-allauth) - Authentication app for Django that "just works." * [django-oauth-toolkit](https://github.com/evonove/django-oauth-toolkit) - OAuth 2 goodies for Django. * [oauthlib](https://github.com/idan/oauthlib) - A generic and thorough implementation of the OAuth request-signing logic. * [python-oauth2](https://github.com/joestump/python-oauth2) - A fully tested, abstract interface to creating OAuth clients and servers. * [python-social-auth](https://github.com/omab/python-social-auth) - An easy-to-setup social authentication mechanism. * JWT * [pyjwt](https://github.com/jpadilla/pyjwt) - JSON Web Token implementation in Python. * [python-jose](https://github.com/mpdavis/python-jose/) - A JOSE implementation in Python. * [python-jwt](https://github.com/davedoesdev/python-jwt) - A module for generating and verifying JSON Web Tokens. ## Build Tools *Compile software from source code.* * [BitBake](http://www.yoctoproject.org/docs/1.6/bitbake-user-manual/bitbake-user-manual.html) - A make-like build tool for embedded Linux. * [buildout](http://www.buildout.org/en/latest/) - A build system for creating, assembling and deploying applications from multiple parts. * [PlatformIO](https://github.com/platformio/platformio-core) - A console tool to build code with different development platforms. * [pybuilder](https://github.com/pybuilder/pybuilder) - A continuous build tool written in pure Python. * [SCons](http://www.scons.org/) - A software construction tool. ## Built-in Classes Enhancement *Libraries for enhancing Python built-in classes.* * [dataclasses](https://docs.python.org/3/library/dataclasses.html) - (Python standard library) Data classes. * [attrs](https://github.com/python-attrs/attrs) - Replacement for `__init__`, `__eq__`, `__repr__`, etc. boilerplate in class definitions. * [bidict](https://github.com/jab/bidict) - Efficient, Pythonic bidirectional map data structures and related functionality.. * [Box](https://github.com/cdgriffith/Box) - Python dictionaries with advanced dot notation access. * [DottedDict](https://github.com/carlosescri/DottedDict) - A library that provides a method of accessing lists and dicts with a dotted path notation. ## CMS *Content Management Systems.* * [wagtail](https://wagtail.io/) - A Django content management system. * [django-cms](https://www.django-cms.org/en/) - An Open source enterprise CMS based on the Django. * [feincms](https://github.com/feincms/feincms) - One of the most advanced Content Management Systems built on Django. * [Kotti](https://github.com/Kotti/Kotti) - A high-level, Pythonic web application framework built on Pyramid. * [mezzanine](https://github.com/stephenmcd/mezzanine) - A powerful, consistent, and flexible content management platform. * [plone](https://plone.org/) - A CMS built on top of the open source application server Zope. * [quokka](https://github.com/rochacbruno/quokka) - Flexible, extensible, small CMS powered by Flask and MongoDB. ## Caching *Libraries for caching data.* * [beaker](https://github.com/bbangert/beaker) - A WSGI middleware for sessions and caching. * [django-cache-machine](https://github.com/django-cache-machine/django-cache-machine) - Automatic caching and invalidation for Django models. * [django-cacheops](https://github.com/Suor/django-cacheops) - A slick ORM cache with automatic granular event-driven invalidation. * [dogpile.cache](http://dogpilecache.readthedocs.io/en/latest/) - dogpile.cache is next generation replacement for Beaker made by same authors. * [HermesCache](https://pypi.org/project/HermesCache/) - Python caching library with tag-based invalidation and dogpile effect prevention. * [pylibmc](https://github.com/lericson/pylibmc) - A Python wrapper around the [libmemcached](https://libmemcached.org/libMemcached.html) interface. * [python-diskcache](http://www.grantjenks.com/docs/diskcache/) - SQLite and file backed cache backend with faster lookups than memcached and redis. ## ChatOps Tools *Libraries for chatbot development.* * [errbot](https://github.com/errbotio/errbot/) - The easiest and most popular chatbot to implement ChatOps. ## Code Analysis *Tools of static analysis, linters and code quality checkers. Also see [awesome-static-analysis](https://github.com/mre/awesome-static-analysis).* * Code Analysis * [coala](https://github.com/coala/coala/) - Language independent and easily extendable code analysis application. * [code2flow](https://github.com/scottrogowski/code2flow) - Turn your Python and JavaScript code into DOT flowcharts. * [prospector](https://github.com/PyCQA/prospector) - A tool to analyse Python code. * [pycallgraph](https://github.com/gak/pycallgraph) - A library that visualises the flow (call graph) of your Python application. * Code Linters * [flake8](https://pypi.org/project/flake8/) - A wrapper around `pycodestyle`, `pyflakes` and McCabe. * [awesome-flake8-extensions](https://github.com/DmytroLitvinov/awesome-flake8-extensions) * [pylint](https://www.pylint.org/) - A fully customizable source code analyzer. * [pylama](https://github.com/klen/pylama) - A code audit tool for Python and JavaScript. * [wemake-python-styleguide](https://github.com/wemake-services/wemake-python-styleguide) - The strictest and most opinionated python linter ever. * Code Formatters * [black](https://github.com/python/black) - The uncompromising Python code formatter. * [yapf](https://github.com/google/yapf) - Yet another Python code formatter from Google. * Static Type Checkers, also see [awesome-python-typing](https://github.com/typeddjango/awesome-python-typing) * [mypy](http://mypy-lang.org/) - Check variable types during compile time. * [pyre-check](https://github.com/facebook/pyre-check) - Performant type checking. * Static Type Annotations Generators * [MonkeyType](https://github.com/Instagram/MonkeyType) - A system for Python that generates static type annotations by collecting runtime types ## Command-line Interface Development *Libraries for building command-line applications.* * Command-line Application Development * [cement](http://builtoncement.com/) - CLI Application Framework for Python. * [click](http://click.pocoo.org/dev/) - A package for creating beautiful command line interfaces in a composable way. * [cliff](https://docs.openstack.org/developer/cliff/) - A framework for creating command-line programs with multi-level commands. * [clint](https://github.com/kennethreitz/clint) - Python Command-line Application Tools. * [docopt](http://docopt.org/) - Pythonic command line arguments parser. * [python-fire](https://github.com/google/python-fire) - A library for creating command line interfaces from absolutely any Python object. * [python-prompt-toolkit](https://github.com/jonathanslenders/python-prompt-toolkit) - A library for building powerful interactive command lines. * Terminal Rendering * [asciimatics](https://github.com/peterbrittain/asciimatics) - A package to create full-screen text UIs (from interactive forms to ASCII animations). * [bashplotlib](https://github.com/glamp/bashplotlib) - Making basic plots in the terminal. * [colorama](https://pypi.org/project/colorama/) - Cross-platform colored terminal text. * [tqdm](https://github.com/tqdm/tqdm) - Fast, extensible progress bar for loops and CLI. ## Command-line Tools *Useful CLI-based tools for productivity.* * Productivity Tools * [cookiecutter](https://github.com/audreyr/cookiecutter) - A command-line utility that creates projects from cookiecutters (project templates). * [doitlive](https://github.com/sloria/doitlive) - A tool for live presentations in the terminal. * [howdoi](https://github.com/gleitz/howdoi) - Instant coding answers via the command line. * [PathPicker](https://github.com/facebook/PathPicker) - Select files out of bash output. * [percol](https://github.com/mooz/percol) - Adds flavor of interactive selection to the traditional pipe concept on UNIX. * [thefuck](https://github.com/nvbn/thefuck) - Correcting your previous console command. * [tmuxp](https://github.com/tony/tmuxp) - A [tmux](https://github.com/tmux/tmux) session manager. * [try](https://github.com/timofurrer/try) - A dead simple CLI to try out python packages - it's never been easier. * CLI Enhancements * [httpie](https://github.com/jakubroztocil/httpie) - A command line HTTP client, a user-friendly cURL replacement. * [kube-shell](https://github.com/cloudnativelabs/kube-shell) - An integrated shell for working with the Kubernetes CLI. * [mycli](https://github.com/dbcli/mycli) - A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting. * [pgcli](https://github.com/dbcli/pgcli) - Postgres CLI with autocompletion and syntax highlighting. * [saws](https://github.com/donnemartin/saws) - A Supercharged [aws-cli](https://github.com/aws/aws-cli). ## Compatibility *Libraries for migrating from Python 2 to 3.* * [python-future](http://python-future.org/index.html) - The missing compatibility layer between Python 2 and Python 3. * [python-modernize](https://github.com/mitsuhiko/python-modernize) - Modernizes Python code for eventual Python 3 migration. * [six](https://pypi.org/project/six/) - Python 2 and 3 compatibility utilities. ## Computer Vision *Libraries for computer vision.* * [Kornia](https://github.com/kornia/kornia/) - Open Source Differentiable Computer Vision Library for PyTorch. * [OpenCV](https://opencv.org/) - Open Source Computer Vision Library. * [pytesseract](https://github.com/madmaze/pytesseract) - Another wrapper for [Google Tesseract OCR](https://github.com/tesseract-ocr). * [SimpleCV](http://simplecv.org/) - An open source framework for building computer vision applications. ## Concurrency and Parallelism *Libraries for concurrent and parallel execution. Also see [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio).* * [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html) - (Python standard library) A high-level interface for asynchronously executing callables. * [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) - (Python standard library) Process-based parallelism. * [eventlet](http://eventlet.net/) - Asynchronous framework with WSGI support. * [gevent](http://www.gevent.org/) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet). * [uvloop](https://github.com/MagicStack/uvloop) - Ultra fast implementation of `asyncio` event loop on top of `libuv`. * [scoop](https://github.com/soravux/scoop) - Scalable Concurrent Operations in Python. ## Configuration *Libraries for storing and parsing configuration options.* * [configobj](https://github.com/DiffSK/configobj) - INI file parser with validation. * [configparser](https://docs.python.org/3/library/configparser.html) - (Python standard library) INI file parser. * [profig](https://profig.readthedocs.io/en/default/) - Config from multiple formats with value conversion. * [python-decouple](https://github.com/henriquebastos/python-decouple) - Strict separation of settings from code. ## Cryptography * [cryptography](https://cryptography.io/en/latest/) - A package designed to expose cryptographic primitives and recipes to Python developers. * [paramiko](https://github.com/paramiko/paramiko) - The leading native Python SSHv2 protocol library. * [passlib](https://passlib.readthedocs.io/en/stable/) - Secure password storage/hashing library, very high level. * [pynacl](https://github.com/pyca/pynacl) - Python binding to the Networking and Cryptography (NaCl) library. ## Data Analysis *Libraries for data analyzing.* * [Blaze](https://github.com/blaze/blaze) - NumPy and Pandas interface to Big Data. * [Open Mining](https://github.com/mining/mining) - Business Intelligence (BI) in Pandas interface. * [Orange](https://orange.biolab.si/) - Data mining, data visualization, analysis and machine learning through visual programming or scripts. * [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools. * [Optimus](https://github.com/ironmussa/Optimus) - Agile Data Science Workflows made easy with PySpark. ## Data Validation *Libraries for validating data. Used for forms in many cases.* * [Cerberus](https://github.com/pyeve/cerberus) - A lightweight and extensible data validation library. * [colander](https://docs.pylonsproject.org/projects/colander/en/latest/) - Validating and deserializing data obtained via XML, JSON, an HTML form post. * [jsonschema](https://github.com/Julian/jsonschema) - An implementation of [JSON Schema](http://json-schema.org/) for Python. * [schema](https://github.com/keleshev/schema) - A library for validating Python data structures. * [Schematics](https://github.com/schematics/schematics) - Data Structure Validation. * [valideer](https://github.com/podio/valideer) - Lightweight extensible data validation and adaptation library. * [voluptuous](https://github.com/alecthomas/voluptuous) - A Python data validation library. ## 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 * [Dash](https://plot.ly/products/dash/) - Built on top of Flask, React and Plotly aimed at analytical web applications. * [awesome-dash](https://github.com/Acrotrend/awesome-dash) * [plotnine](https://github.com/has2k1/plotnine) - A grammar of graphics for Python based on ggplot2. * [Matplotlib](http://matplotlib.org/) - A Python 2D plotting library. * [Pygal](http://www.pygal.org/en/latest/) - A Python SVG Charts Creator. * [PyGraphviz](https://pypi.org/project/pygraphviz/) - Python interface to [Graphviz](http://www.graphviz.org/). * [PyQtGraph](http://www.pyqtgraph.org/) - 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-python) - 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) * [psycopg2](http://initd.org/psycopg/) - The most popular PostgreSQL adapter for Python. * [queries](https://github.com/gmr/queries) - A wrapper of the psycopg2 library for interacting with PostgreSQL. * Other Relational Databases * [pymssql](http://www.pymssql.org/en/latest/) - A simple database interface to Microsoft SQL Server. * [SuperSQLite](https://github.com/plasticityai/supersqlite) - A supercharged SQLite library built on top of [apsw](https://github.com/rogerbinns/apsw). * NoSQL Databases * [cassandra-driver](https://github.com/datastax/python-driver) - The Python Driver for Apache Cassandra. * [happybase](https://github.com/wbolster/happybase) - A developer-friendly library for Apache HBase. * [kafka-python](https://github.com/dpkp/kafka-python) - The Python client for Apache Kafka. * [py2neo](https://py2neo.org/) - A client library and toolkit for working with Neo4j. * [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB. * [redis-py](https://github.com/andymccurdy/redis-py) - The Python client for Redis. * Asynchronous Clients * [motor](https://github.com/mongodb/motor) - The async Python driver for MongoDB. ## Date and Time *Libraries for working with dates and times.* * [Chronyk](https://github.com/KoffeinFlummi/Chronyk) - A Python 3 library for parsing human-written times and dates. * [dateutil](https://github.com/dateutil/dateutil) - Extensions to the standard Python [datetime](https://docs.python.org/3/library/datetime.html) module. * [delorean](https://github.com/myusuf3/delorean/) - A library for clearing up the inconvenient truths that arise dealing with datetimes. * [moment](https://github.com/zachwill/moment) - A Python library for dealing with dates/times. Inspired by [Moment.js](http://momentjs.com/). * [Pendulum](https://github.com/sdispater/pendulum) - Python datetimes made easy. * [PyTime](https://github.com/shinux/PyTime) - An easy-to-use Python module which aims to operate date/time/datetime by string. * [pytz](https://launchpad.net/pytz) - World timezone definitions, modern and historical. Brings the [tz database](https://en.wikipedia.org/wiki/Tz_database) into Python. * [when.py](https://github.com/dirn/When.py) - Providing user-friendly functions to help perform common date and time actions. * [maya](https://github.com/kennethreitz/maya) - Datetimes for Humans. ## 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). * [pdb++](https://github.com/antocuni/pdb) - Another drop-in replacement for pdb. * [pudb](https://github.com/inducer/pudb) - A full-screen, console-based Python debugger. * [wdb](https://github.com/Kozea/wdb) - An improbable web debugger through WebSockets. * Tracing * [lptrace](https://github.com/khamidou/lptrace) - [strace](http://man7.org/linux/man-pages/man1/strace.1.html) for Python programs. * [manhole](https://github.com/ionelmc/python-manhole) - Debugging UNIX socket connections and present the stacktraces for all threads and an interactive prompt. * [pyringe](https://github.com/google/pyringe) - Debugger capable of attaching to and injecting code into Python processes. * [python-hunter](https://github.com/ionelmc/python-hunter) - A flexible code tracing toolkit. * Profiler * [line_profiler](https://github.com/rkern/line_profiler) - Line-by-line profiling. * [memory_profiler](https://github.com/fabianp/memory_profiler) - Monitor Memory usage of Python code. * [profiling](https://github.com/what-studio/profiling) - An interactive Python profiler. * [py-spy](https://github.com/benfred/py-spy) - A sampling profiler for Python programs. Written in Rust. * [pyflame](https://github.com/uber/pyflame) - A ptracing profiler For Python. * [vprof](https://github.com/nvdv/vprof) - Visual Python profiler. * Others * [icecream](https://github.com/gruns/icecream) - Inspect variables, expressions, and program execution with a single, simple function call. * [django-debug-toolbar](https://github.com/jazzband/django-debug-toolbar) - Display various debug information for Django. * [django-devserver](https://github.com/dcramer/django-devserver) - A drop-in replacement for Django's runserver. * [flask-debugtoolbar](https://github.com/mgood/flask-debugtoolbar) - A port of the django-debug-toolbar to flask. * [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).* * [caffe](https://github.com/BVLC/caffe) - A fast open framework for 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. * [mxnet](https://github.com/dmlc/mxnet) - A deep learning framework designed for both efficiency and flexibility. * [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration. * [SerpentAI](https://github.com/SerpentAI/SerpentAI) - Game agent framework. Use any video game as a deep learning sandbox. * [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.* * [ansible](https://github.com/ansible/ansible) - A radically simple IT automation platform. * [cloudinit](https://cloudinit.readthedocs.io/en/latest/) - A multi-distribution package that handles early initialization of a cloud instance. * [cuisine](https://github.com/sebastien/cuisine) - Chef-like functionality for Fabric. * [docker-compose](https://docs.docker.com/compose/) - Fast, isolated development environments using [Docker](https://www.docker.com/). * [fabric](https://github.com/fabric/fabric) - A simple, Pythonic tool for remote execution and deployment. * [fabtools](https://github.com/fabtools/fabtools) - Tools for writing awesome Fabric files. * [honcho](https://github.com/nickstenning/honcho) - A Python clone of [Foreman](https://github.com/ddollar/foreman), for managing Procfile-based applications. * [OpenStack](https://www.openstack.org/) - Open source software for building private and public clouds. * [pexpect](https://github.com/pexpect/pexpect) - Controlling interactive programs in a pseudo-terminal like GNU expect. * [psutil](https://github.com/giampaolo/psutil) - A cross-platform process and system utilities module. * [saltstack](https://github.com/saltstack/salt) - Infrastructure automation and management system. * [supervisor](https://github.com/Supervisor/supervisor) - Supervisor process control system for UNIX. ## Distributed Computing *Frameworks and libraries for Distributed Computing.* * Batch Processing * [PySpark](https://pypi.org/project/pyspark/) - [Apache Spark](https://spark.apache.org/) Python API. * [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. * [mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services. * [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.* * [dh-virtualenv](https://github.com/spotify/dh-virtualenv) - Build and distribute a virtualenv as a Debian package. * [Nuitka](http://nuitka.net/) - Compile scripts, modules, packages to an executable or extension module. * [py2app](http://pythonhosted.org/py2app/) - Freezes Python scripts (Mac OS X). * [py2exe](http://www.py2exe.org/) - Freezes Python scripts (Windows). * [PyInstaller](https://github.com/pyinstaller/pyinstaller) - Converts Python programs into stand-alone executables (cross-platform). * [pynsist](http://pynsist.readthedocs.io/en/latest/) - A tool to build Windows installers, installers bundle Python itself. ## 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. * [pycco](https://github.com/pycco-docs/pycco) - The literate-programming-style documentation generator. ## Downloader *Libraries for downloading.* * [s3cmd](https://github.com/s3tools/s3cmd) - A command line tool for managing Amazon S3 and CloudFront. * [s4cmd](https://github.com/bloomreach/s4cmd) - Super S3 command line tool, good for higher performance. * [you-get](https://you-get.org/) - A YouTube/Youku/Niconico video downloader written in Python 3. * [youtube-dl](https://rg3.github.io/youtube-dl/) - A small command-line program to download videos from YouTube. ## E-commerce *Frameworks and libraries for e-commerce and payments.* * [alipay](https://github.com/lxneng/alipay) - Unofficial Alipay API for Python. * [Cartridge](https://github.com/stephenmcd/cartridge) - A shopping cart app built using the Mezzanine. * [django-oscar](http://oscarcommerce.com/) - An open-source e-commerce framework for Django. * [django-shop](https://github.com/awesto/django-shop) - A Django based shop system. * [merchant](https://github.com/agiliq/merchant) - A Django app to accept payments from various payment processors. * [money](https://github.com/carlospalol/money) - `Money` class with optional CLDR-backed locale-aware formatting and an extensible currency exchange. * [python-currencies](https://github.com/Alir3z4/python-currencies) - Display money format and its filthy currencies. * [forex-python](https://github.com/MicroPyramid/forex-python) - Foreign exchange rates, Bitcoin price index and currency conversion. * [saleor](http://getsaleor.com/) - An e-commerce storefront for Django. * [shoop](https://www.shuup.com/en/) - An open source E-Commerce platform based on Django. ## Editor Plugins and IDEs * Emacs * [elpy](https://github.com/jorgenschaefer/elpy) - Emacs Python Development Environment. * Sublime Text * [anaconda](https://github.com/DamnWidget/anaconda) - Anaconda turns your Sublime Text 3 in a full featured Python development IDE. * [SublimeJEDI](https://github.com/srusskih/SublimeJEDI) - A Sublime Text plugin to the awesome auto-complete library Jedi. * 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.* * [envelopes](http://tomekwojcik.github.io/envelopes/) - Mailing for human beings. * [flanker](https://github.com/mailgun/flanker) - An email address and Mime parsing library. * [imbox](https://github.com/martinrusev/imbox) - Python IMAP for Humans. * [inbox.py](https://github.com/kennethreitz/inbox.py) - Python SMTP Server for Humans. * [lamson](https://github.com/zedshaw/lamson) - Pythonic SMTP Application Server. * [Marrow Mailer](https://github.com/marrow/mailer) - High-performance extensible mail delivery framework. * [modoboa](https://github.com/modoboa/modoboa) - A mail hosting and management platform including a modern and simplified Web UI. * [Nylas Sync Engine](https://github.com/nylas/sync-engine) - Providing a RESTful API on top of a powerful email sync platform. * [yagmail](https://github.com/kootenpv/yagmail) - Yet another Gmail/SMTP client. ## Environment Management *Libraries for Python version and virtual environment management.* * [pyenv](https://github.com/pyenv/pyenv) - Simple Python version management. * [poetry](https://github.com/sdispater/poetry) - Python dependency management and packaging made easy. * [virtualenv](https://github.com/pypa/virtualenv) - A tool to create isolated Python environments. ## Files *Libraries for file manipulation and MIME type detection.* * [mimetypes](https://docs.python.org/3/library/mimetypes.html) - (Python standard library) Map filenames to MIME types. * [path.py](https://github.com/jaraco/path.py) - A module wrapper for [os.path](https://docs.python.org/3/library/os.path.html). * [pathlib](https://docs.python.org/3/library/pathlib.html) - (Python standard library) An cross-platform, object-oriented path library. * [PyFilesystem2](https://github.com/pyfilesystem/pyfilesystem2) - Python's filesystem abstraction layer. * [python-magic](https://github.com/ahupp/python-magic) - A Python interface to the libmagic file type identification library. * [Unipath](https://github.com/mikeorr/Unipath) - An object-oriented approach to file/directory operations. * [watchdog](https://github.com/gorakhargosh/watchdog) - API and shell utilities to monitor file system events. ## Foreign Function Interface *Libraries for providing foreign function interface.* * [cffi](https://pypi.org/project/cffi/) - Foreign Function Interface for Python calling C code. * [ctypes](https://docs.python.org/3/library/ctypes.html) - (Python standard library) Foreign Function Interface for Python calling C code. * [PyCUDA](https://mathema.tician.de/software/pycuda/) - A Python wrapper for Nvidia's CUDA API. * [SWIG](http://www.swig.org/Doc1.3/Python.html) - Simplified Wrapper and Interface Generator. ## Forms *Libraries for working with forms.* * [Deform](https://github.com/Pylons/deform) - Python HTML form generation library influenced by the formish form generation library. * [django-bootstrap3](https://github.com/dyve/django-bootstrap3) - Bootstrap 3 integration with Django. * [django-bootstrap4](https://github.com/zostera/django-bootstrap4) - Bootstrap 4 integration with Django. * [django-crispy-forms](https://github.com/django-crispy-forms/django-crispy-forms) - A Django app which lets you create beautiful forms in a very elegant and DRY way. * [django-remote-forms](https://github.com/WiserTogether/django-remote-forms) - A platform independent Django form serializer. * [WTForms](https://github.com/wtforms/wtforms) - A flexible forms validation and rendering library. ## Functional Programming *Functional Programming with Python.* * [Coconut](http://coconut-lang.org/) - Coconut is a variant of Python built for simple, elegant, Pythonic functional programming. * [CyToolz](https://github.com/pytoolz/cytoolz/) - Cython implementation of Toolz: High performance functional utilities. * [fn.py](https://github.com/kachayev/fn.py) - Functional programming in Python: implementation of missing features to enjoy FP. * [funcy](https://github.com/Suor/funcy) - A fancy and practical functional tools. * [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://bitbucket.org/pyglet/pyglet/wiki/Home) - A cross-platform windowing and multimedia library for Python. * [PyGObject](https://wiki.gnome.org/Projects/PyGObject) - Python Bindings for GLib/GObject/GIO/GTK+ (GTK+3). * [PyQt](https://riverbankcomputing.com/software/pyqt/intro) - 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. ## GraphQL *Libraries for working with GraphQL.* * [tartiflette](https://tartiflette.io) - SDL-first GraphQL engine implementation for Python 3.6+ and asyncio. * [tartiflette-aiohttp](https://github.com/tartiflette/tartiflette-aiohttp/) - An `aiohttp`-based wrapper for Tartiflette to expose GraphQL APIs over HTTP. * [tartiflette-asgi](https://github.com/tartiflette/tartiflette-asgi/) - ASGI support for the Tartiflette GraphQL engine. ## Game Development *Awesome game development libraries.* * [Cocos2d](http://cocos2d.org/) - 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. * [GeoIP](https://github.com/maxmind/geoip-api-python) - Python API for MaxMind GeoIP Legacy Database. * [geojson](https://github.com/frewsxcv/python-geojson) - Python bindings and utilities for GeoJSON. * [geopy](https://github.com/geopy/geopy) - Python Geocoding Toolbox. * [pygeoip](https://github.com/appliedsec/pygeoip) - Pure Python GeoIP API. ## 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.* * [grequests](https://github.com/kennethreitz/grequests) - requests + gevent for asynchronous HTTP requests. * [httplib2](https://github.com/httplib2/httplib2) - Comprehensive HTTP client library. * [requests](https://requests.kennethreitz.org/en/master/) - 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/shazow/urllib3) - A HTTP library with thread-safe connection pooling, file post support, sanity friendly. ## Hardware *Libraries for programming with hardware.* * [ino](http://inotool.org/) - Command line toolkit for working with [Arduino](https://www.arduino.cc/). * [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. * [Pingo](http://www.pingo.io/) - Pingo provides a uniform API to program devices like the Raspberry Pi, pcDuino, Intel Galileo, etc. * [PyUserInput](https://github.com/SavinaRoja/PyUserInput) - A module for cross-platform control of the mouse and keyboard. * [scapy](https://github.com/secdev/scapy) - A brilliant packet manipulation library. * [wifi](https://github.com/rockymeza/wifi) - A Python library and command line tool for working with WiFi on Linux. ## Image Processing *Libraries for manipulating images.* * [hmap](https://github.com/rossgoodwin/hmap) - Image histogram remapping. * [imgSeek](https://sourceforge.net/projects/imgseek/) - A project for searching a collection of images using visual similarity. * [nude.py](https://github.com/hhatto/nude.py) - Nudity detection. * [pagan](https://github.com/daboth/pagan) - Retro identicon (Avatar) generation based on input string and hash. * [pillow](https://github.com/python-pillow/Pillow) - Pillow is the friendly [PIL](http://www.pythonware.com/products/pil/) fork. * [pyBarcode](https://pythonhosted.org/pyBarcode/) - Create barcodes in Python without needing PIL. * [pygram](https://github.com/ajkumar25/pygram) - Instagram-like image filters. * [python-qrcode](https://github.com/lincolnloop/python-qrcode) - A pure Python QR Code generator. * [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/dahlia/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](http://cython.org/) - Optimizing Static Compiler for Python. * [CLPython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp. * [Grumpy](https://github.com/google/grumpy) - More compiler than interpreter as more powerful CPython2.7 replacement (alpha). * [IronPython](https://github.com/IronLanguages/ironpython3) - Implementation of the Python programming language written in C#. * [Jython](https://hg.python.org/jython) - Implementation of Python programming language written in Java for the JVM. * [MicroPython](https://github.com/micropython/micropython) - A lean and efficient Python programming language implementation. * [Numba](http://numba.pydata.org/) - Python JIT compiler to LLVM aimed at scientific Python. * [PeachPy](https://github.com/Maratyszcza/PeachPy) - x86-64 assembler embedded in Python. * [Pyjion](https://github.com/Microsoft/Pyjion) - A JIT for Python based upon CoreCLR. * [PyPy](https://bitbucket.org/pypy/pypy) - A very fast and compliant implementation of the Python language. * [Pyston](https://github.com/dropbox/pyston) - A Python implementation using JIT techniques. * [Stackless Python](https://github.com/stackless-dev/stackless) - An enhanced version of the Python programming language. ## 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.* * [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. * [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. * [Airflow](https://airflow.apache.org/) - Airflow is a platform to programmatically author, schedule and monitor workflows. ## Logging *Libraries for generating and working with logs.* * [Eliot](https://github.com/ScatterHQ/eliot) - Logging for complex & distributed systems. * [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. * [raven](https://github.com/getsentry/raven-python) - Python client for Sentry, a log/error tracking, crash reporting and aggregation platform for web applications. ## Machine Learning *Libraries for Machine Learning. Also see [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning#python).* * [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. ## 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. * [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 for the Python. * [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. * [stanfordnlp](https://github.com/stanfordnlp/stanfordnlp) - The Stanford NLP Group's official Python library, supporting 50+ languages. - Chinese * [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. * [funNLP](https://github.com/fighting41love/funNLP) - A collection of tools and datasets for Chinese NLP. ## 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 Python package and dependency manager. * [PyPI](https://pypi.org/) * [pip-tools](https://github.com/jazzband/pip-tools) - A set of tools to keep your pinned Python dependencies fresh. * [conda](https://github.com/conda/conda/) - Cross-platform, Python-agnostic binary package manager. ## Package Repositories *Local PyPI repository server and proxies.* * [warehouse](https://github.com/pypa/warehouse) - Next generation Python Package Repository (PyPI). * [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). ## 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](http://www.django-rest-framework.org/) - A powerful and flexible toolkit to build web APIs. * [django-tastypie](http://tastypieapi.org/) - 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 * [apistar](https://github.com/encode/apistar) - A smart Web API framework, designed for Python 3. * [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/huge-success/sanic) - A Python 3.6+ web server and web framework that's written to go fast. * [vibora](https://vibora.io/) - Fast, efficient and asynchronous Web framework inspired by Flask. ## 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.* * [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. * [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. * [Open Babel](http://openbabel.org/wiki/Main_Page) - A chemical toolbox designed to speak the many languages of chemical data. * [ObsPy](https://github.com/obspy/obspy/wiki/) - A Python toolbox for seismology. * [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. * [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. * [SimPy](https://bitbucket.org/simpy/simpy) - A process-based discrete-event simulation framework. ## Search *Libraries and software for indexing and performing search queries on data.* * [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). * [elasticsearch-dsl-py](https://github.com/elastic/elasticsearch-dsl-py) - The official high-level Python client for Elasticsearch. * [django-haystack](https://github.com/django-haystack/django-haystack) - Modular search for Django. * [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/Miserlou/Zappa) - A tool for deploying WSGI applications on AWS Lambda and API Gateway. ## Specific Formats Processing *Libraries for parsing and manipulating specific text formats.* * General * [tablib](https://github.com/kennethreitz/tablib) - A module for Tabular Datasets in XLS, CSV, JSON, YAML. * Office * [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](https://github.com/euske/pdfminer) - A tool for extracting information from PDF documents. * [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.* * [mkdocs](https://github.com/mkdocs/mkdocs/) - Markdown friendly documentation generator. * [pelican](https://github.com/getpelican/pelican) - Static site generator that supports Markdown and reST syntax. * [lektor](https://github.com/lektor/lektor) - An easy to use static CMS and blog engine. * [nikola](https://github.com/getnikola/nikola) - A static website and blog generator. ## 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](http://www.celeryproject.org/) - An asynchronous task queue/job queue based on distributed message passing. * [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.* * [Jinja2](https://github.com/pallets/jinja) - A modern and designer friendly templating language. * [Genshi](https://genshi.edgewall.org/) - Python templating toolkit for generation of web-aware output. * [Mako](http://www.makotemplates.org/) - Hyperfast and lightweight templating for the Python platform. ## Testing *Libraries for testing codebases and generating test data.* * Testing Frameworks * [pytest](https://docs.pytest.org/en/latest/) - A mature full-featured Python testing tool. * [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. * [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. * [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 * [mock](https://docs.python.org/3/library/unittest.mock.html) - (Python standard library) A mocking and patching library. * [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. * [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. Supported 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 * [mimesis](https://github.com/lk-geimfari/mimesis) - is a Python library that help you generate fake data. * [fake2db](https://github.com/emirozer/fake2db) - Fake database generator. * [faker](https://github.com/joke2k/faker) - A Python package that generates 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. ## 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/kennethreitz/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.* * [cola](https://github.com/chineking/cola) - A distributed crawling framework. * [feedparser](https://pythonhosted.org/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. * [pyspider](https://github.com/binux/pyspider) - A powerful spider system. * [robobrowser](https://github.com/jmcarp/robobrowser) - A simple, Pythonic library for browsing the web without a standalone web browser. * [scrapy](https://scrapy.org/) - A fast high-level screen scraping and web crawling framework. * [portia](https://github.com/scrapinghub/portia) - Visual scraping for Scrapy. ## Web Frameworks *Traditional full stack web frameworks. Also see [RESTful API](https://github.com/vinta/awesome-python#restful-api)* * Synchronous * [Django](https://www.djangoproject.com/) - The most popular web framework in Python. * [awesome-django](https://github.com/shahraizali/awesome-django) * [Flask](http://flask.pocoo.org/) - 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](http://www.tornadoweb.org/en/latest/) - 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.* * [bjoern](https://github.com/jonashaag/bjoern) - Asynchronous, very fast and written in C. * [gunicorn](https://github.com/benoitc/gunicorn) - Pre-forked, partly written in C. * [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 new Python libraries. ## Podcasts * [From Python Import Podcast](http://frompythonimportpodcast.com/) * [Podcast.init](https://podcastinit.com/) * [Python Bytes](https://pythonbytes.fm) * [Python Testing](http://pythontesting.net) * [Radio Free Python](http://radiofreepython.com/) * [Talk Python To Me](https://talkpython.fm/) * [Test and Code](https://testandcode.com/) ## Twitter * [@codetengu](https://twitter.com/codetengu) * [@getpy](https://twitter.com/getpy) * [@importpython](https://twitter.com/importpython) * [@planetpython](https://twitter.com/planetpython) * [@pycoders](https://twitter.com/pycoders) * [@pypi](https://twitter.com/pypi) * [@pythontrending](https://twitter.com/pythontrending) * [@PythonWeekly](https://twitter.com/PythonWeekly) * [@TalkPython](https://twitter.com/talkpython) * [@realpython](https://twitter.com/realpython) ## Websites * [/r/CoolGithubProjects](https://www.reddit.com/r/coolgithubprojects/) * [/r/Python](https://www.reddit.com/r/python) * [Awesome Python @LibHunt](https://python.libhunt.com/) * [Django Packages](https://djangopackages.org/) * [Full Stack Python](https://www.fullstackpython.com/) * [Python Cheatsheet](https://www.pythoncheatsheet.org/) * [Python ZEEF](https://python.zeef.com/alan.richmond) * [Python 开发社区](https://www.ctolib.com/python/) * [Real Python](https://realpython.com) * [Trending Python repositories on GitHub today](https://github.com/trending?l=python) * [Сообщество Python Программистов](https://python-scripts.com/) ## Weekly * [CodeTengu Weekly 碼天狗週刊](https://weekly.codetengu.com/) * [Import Python Newsletter](http://importpython.com/newsletter/) * [Pycoder's Weekly](http://pycoders.com/) * [Python Weekly](http://www.pythonweekly.com/) * [Python Tricks](https://realpython.com/python-tricks/) # 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. I will keep some pull requests open if I'm not sure whether those libraries are awesome, you could [vote for them](https://github.com/vinta/awesome-python/pulls) by adding :+1: to them. Pull requests will be merged when their votes reach **20**. - - - If you have any question about this opinionated list, do not hesitate to contact me [@vinta](https://twitter.com/vinta) on Twitter or open an issue on GitHub.