python/README.md

# 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)
    - [Build Tools](#build-tools)
    - [Caching](#caching)
    - [ChatOps Tools](#chatops-tools)
    - [CMS](#cms)
    - [Code Analysis and Linter](#code-analysis-and-linter)
    - [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)
    - [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](#gui)
    - [Hardware](#hardware)
    - [High Performance](#high-performance)
    - [HTML Manipulation](#html-manipulation)
    - [HTTP](#http)
    - [Imagery](#imagery)
    - [Implementations](#implementations)
    - [Interactive Interpreter](#interactive-interpreter)
    - [Internationalization](#internationalization)
    - [Job Scheduler](#job-scheduler)
    - [Logging](#logging)
    - [Machine Learning](#machine-learning)
    - [MapReduce](#mapreduce)
    - [Miscellaneous](#miscellaneous)
    - [Natural Language Processing](#natural-language-processing)
    - [Network Virtualization](#network-virtualization)
    - [Networking](#networking)
    - [News Feed](#news-feed)
    - [ORM](#orm)
    - [Package Management](#package-management)
    - [Package Repositories](#package-repositories)
    - [Permissions](#permissions)
    - [Processes](#processes)
    - [Queue](#queue)
    - [RESTful API](#restful-api)
    - [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)
    - [Template Engine](#template-engine)
    - [Testing](#testing)
    - [Text Processing](#text-processing)
    - [Third-party APIs](#third-party-apis)
    - [URL Manipulation](#url-manipulation)
    - [Video](#video)
    - [Web Content Extracting](#web-content-extracting)
    - [Web Crawling](#web-crawling)
    - [Web Frameworks](#web-frameworks)
    - [WebSocket](#websocket)
    - [WSGI Servers](#wsgi-servers)
- [Services](#services)
    - [Code Quality](#code-quality)
    - [Continuous Integration](#continuous-integration)
- [Resources](#resources)
    - [Podcasts](#podcasts)
    - [Twitter](#twitter)
    - [Websites](#websites)
    - [Weekly](#weekly)
- [Other Awesome Lists](#other-awesome-lists)
- [Contributing](#contributing)

- - -

## Admin Panels

*Libraries for administrative interfaces.*

* [Ajenti](https://github.com/Eugeny/ajenti) - The admin panel your servers deserve.
* [django-suit](http://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.
* [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.
* [Grappelli](http://grappelliproject.com) - A jazzy skin for the Django Admin-Interface.
* [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/nryoung/algorithms) - A module of algorithms for 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](http://www.grantjenks.com/docs/sortedcontainers/) - Fast, pure-Python implementation of SortedList, SortedDict, and SortedSet types.

## Anti-spam

*Libraries for fighting spam.*

* [django-simple-captcha](https://github.com/mbi/django-simple-captcha) - A simple and highly customizable Django app to add captcha images to any Django form.
* [django-simple-spam-blocker](https://github.com/moqada/django-simple-spam-blocker) - Simple spam blocker for Django.

## 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://fileconveyor.org/) - 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.
* [jinja-assets-compressor](https://github.com/jaysonsantos/jinja-assets-compressor) - A Jinja extension to compile and compress your assets.
* [webassets](https://github.com/miracle2k/webassets) - Bundles, optimizes, and manages unique cache-busting URLs for static resources.

## Audio

*Libraries for manipulating audio.*

* [audiolazy](https://github.com/danilobellini/audiolazy) - Expressive Digital Signal Processing (DSP) package for Python.
* [audioread](https://github.com/beetbox/audioread) - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.
* [beets](http://beets.io/) - A music library manager and [MusicBrainz](https://musicbrainz.org/) tagger.
* [dejavu](https://github.com/worldveil/dejavu) - Audio fingerprinting and recognition.
* [django-elastic-transcoder](https://github.com/StreetVoice/django-elastic-transcoder) - Django + [Amazon Elastic Transcoder](http://aws.amazon.com/elastictranscoder/).
* [eyeD3](http://eyed3.nicfit.net/) - A tool for working with audio files, specifically MP3 files containing ID3 metadata.
* [id3reader](http://nedbatchelder.com/code/modules/id3reader.py) - A Python module for reading MP3 meta data.
* [m3u8](https://github.com/globocom/m3u8) - A module for parsing m3u8 file.
* [mingus](http://bspaans.github.io/python-mingus/) - An advanced music theory and notation package with MIDI file and playback support.
* [mutagen](https://bitbucket.org/lazka/mutagen) - A Python module to handle audio metadata.
* [pydub](https://github.com/jiaaro/pydub) - Manipulate audio with a simple and easy high level interface.
* [pyechonest](https://github.com/echonest/pyechonest) - Python client for the [Echo Nest](http://developer.echonest.com/) API.
* [talkbox](http://scikits.appspot.com/talkbox) - A Python library for speech/signal processing.
* [TimeSide](https://github.com/Parisson/TimeSide) - Open web audio processing framework.
* [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
    * [Authomatic](http://peterhudec.github.io/authomatic/) - Simple but powerful framework agnostic authentication/authorization client.
    * [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.
    * [Flask-OAuthlib](https://github.com/lepture/flask-oauthlib) - OAuth 1.0/a, 2.0 implementation of client and provider for Flask.
    * [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.
    * [rauth](https://github.com/litl/rauth) - A Python library for OAuth 1.0/a, 2.0, and Ofly.
    * [sanction](https://github.com/demianbrecht/sanction) - A dead simple OAuth2 client implementation.
* Others
    * [jose](https://github.com/demonware/jose) - JavaScript Object Signing and Encryption draft implementation.
    * [PyJWT](https://github.com/jpadilla/pyjwt) - Implementation of the JSON Web Token draft 01.
    * [python-jws](https://github.com/brianloveswords/python-jws) - Implementation of JSON Web Signatures draft 02.
    * [python-jwt](https://github.com/davedoesdev/python-jwt) - 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) - 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.

## CMS

*Content Management Systems.*

* [django-cms](http://www.django-cms.org/en/) - An Open source enterprise CMS based on the Django.
* [djedi-cms](http://djedi-cms.org/) - A lightweight but yet powerful Django CMS with plugins, inline editing and performance in mind.
* [FeinCMS](http://www.feincms.org/) - One of the most advanced Content Management Systems built on Django.
* [Kotti](http://kotti.pylonsproject.org/) - A high-level, Pythonic web application framework built on Pyramid.
* [Mezzanine](http://mezzanine.jupo.org/) - A powerful, consistent, and flexible content management platform.
* [Opps](http://opps.github.io/opps/) - A Django-based CMS for magazines, newspapers websites and portals with high-traffic.
* [Plone](https://plone.org/) - A CMS built on top of the open source application server Zope.
* [Quokka](http://quokkaproject.org/) - Flexible, extensible, small CMS powered by Flask and MongoDB.
* [Wagtail](https://wagtail.io/) - A Django content management system.
* [Widgy](https://wid.gy/) - Last CMS framework, based on Django.

## Caching

*Libraries for caching data.*

* [Beaker](https://github.com/bbangert/beaker) - A library for caching and sessions for use with web applications and stand-alone Python scripts and applications.
* [DiskCache](http://www.grantjenks.com/docs/diskcache/) - SQLite and file backed cache backend with faster lookups than memcached and redis.
* [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.
* [django-viewlet](https://github.com/5monkeys/django-viewlet) - Render template parts with extended cache control.
* [dogpile.cache](http://dogpilecache.readthedocs.io/) - dogpile.cache is next generation replacement for Beaker made by same authors.
* [HermesCache](https://pypi.python.org/pypi/HermesCache) - Python caching library with tag-based invalidation and dogpile effect prevention.
* [johnny-cache](https://github.com/jmoiron/johnny-cache) - A caching framework for django applications.
* [pylibmc](https://github.com/lericson/pylibmc) - A Python wrapper around the [libmemcached](http://libmemcached.org/libMemcached.html) interface.

## ChatOps Tools

*Libraries for chatbot development.*

* [Errbot](http://errbot.io/) - The easiest and most popular chatbot to implement ChatOps.

## Code Analysis and Linter

*Libraries and tools for analysing, parsing and manipulation codebases.*

* Code Analysis
    * [coala](http://coala-analyzer.org/) - Language independent and easily extendable code analysis application.
    * [code2flow](https://github.com/scottrogowski/code2flow) - Turn your Python and JavaScript code into DOT flowcharts.
    * [pycallgraph](https://github.com/gak/pycallgraph) - A library that visualises the flow (call graph) of your Python application.
    * [pysonar2](https://github.com/yinwang0/pysonar2) - A type inferencer and indexer for Python.
* Linter
    * [Flake8](https://pypi.python.org/pypi/flake8) - The modular source code checker: pep8, pyflakes and co.
    * [pylama](https://github.com/klen/pylama) - Code audit tool for Python and JavaScript.
    * [Pylint](https://www.pylint.org/) - A Fully customizable source code analyzer.

## Command-line Tools

*Libraries for building command-line application.*

* Command-line Application Development
    * [asciimatics](https://github.com/peterbrittain/asciimatics) - Cross-platform, full-screen terminal package (i.e.  mouse/keyboard input and coloured, positioned text output) complete with high-level API for complex animations and special effects.
    * [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](http://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.
    * [colorama](https://pypi.python.org/pypi/colorama) - Cross-platform colored terminal text.
    * [docopt](http://docopt.org/) - Pythonic command line arguments parser.
    * [Gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line
    * [python-prompt-toolkit](https://github.com/jonathanslenders/python-prompt-toolkit) - A Library for building powerful interactive command lines.
* Productivity Tools
    * [aws-cli](https://github.com/aws/aws-cli) - A universal command-line interface for Amazon Web Services.
    * [bashplotlib](https://github.com/glamp/bashplotlib) - Making basic plots in the terminal.
    * [caniusepython3](https://github.com/brettcannon/caniusepython3) - Determine what projects are blocking you from porting to Python 3.
    * [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.
    * [httpie](https://github.com/jkbrzt/httpie) - A command line HTTP client, a user-friendly cURL replacement.
    * [mycli](https://github.com/dbcli/mycli) - A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting.
    * [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.
    * [pgcli](https://github.com/dbcli/pgcli) - Postgres CLI with autocompletion and syntax highlighting.
    * [SAWS](https://github.com/donnemartin/saws) - A Supercharged AWS CLI.
    * [thefuck](https://github.com/nvbn/thefuck) - Correcting your previous console command.
    * [try](https://github.com/timofurrer/try) - A dead simple CLI to try out python packages - It's never been easier.

## 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.python.org/pypi/six) - Python 2 and 3 compatibility utilities.

## Computer Vision

*Libraries for computer vision.*

* [OpenCV](http://opencv.org/) - Open Source Computer Vision Library.
* [pyocr](https://github.com/jflesch/pyocr) - A wrapper for Tesseract and Cuneiform.
* [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.*

* [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).
* [multiprocessing](https://docs.python.org/2/library/multiprocessing.html) - (Python standard library) Process-based "threading" interface.
* [threading](https://docs.python.org/2/library/threading.html) - (Python standard library) Higher-level threading interface.
* [Tomorrow](https://github.com/madisonmay/Tomorrow) - Magic decorator syntax for asynchronous code.
* [uvloop](https://github.com/MagicStack/uvloop) - Ultra fast implementation of asyncio event loop on top of libuv.

## Configuration

*Libraries for storing and parsing configuration options.*

* [config](https://www.red-dove.com/config-doc/) - Hierarchical config from the author of [logging](https://docs.python.org/2/library/logging.html).
* [ConfigObj](http://www.voidspace.org.uk/python/configobj.html) - INI file parser with validation.
* [ConfigParser](https://docs.python.org/2/library/configparser.html) - (Python standard library) INI file parser.
* [profig](http://profig.readthedocs.org/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.
* [hashids](https://github.com/davidaurelio/hashids-python) - Implementation of [hashids](http://hashids.org) in Python.
* [Paramiko](http://www.paramiko.org/) - A Python (2.6+, 3.3+) implementation of the SSHv2 protocol, providing both client and server functionality.
* [Passlib](https://pythonhosted.org/passlib/) - Secure password storage/hashing library, very high level.
* [PyCrypto](https://www.dlitz.net/software/pycrypto/) - The Python Cryptography Toolkit.
* [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](http://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.

## Data Validation

*Libraries for validating data. Used for forms in many cases.*

* [Cerberus](https://github.com/nicolaiarocci/cerberus/) - A lightweight and extensible data validation library.
* [colander](http://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. 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.
* [ggplot](https://github.com/yhat/ggplot) - Same API as ggplot2 for R.
* [Matplotlib](http://matplotlib.org/) - A Python 2D plotting library.
* [Pygal](http://www.pygal.org/en/latest/) - A Python SVG Charts Creator.
* [PyGraphviz](https://pypi.python.org/pypi/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://pythonhosted.org/pickleDB/) - A simple and lightweight key-value store for Python.
* [PipelineDB](https://www.pipelinedb.com/) - The Streaming SQL Database.
* [TinyDB](https://github.com/msiemens/tinydb) - A tiny, document-oriented database.
* [ZODB](http://www.zodb.org/en/latest/) - 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/)
    * [mysql-python](https://sourceforge.net/projects/mysql-python/) - The MySQL database connector for Python.
    * [mysqlclient](https://github.com/PyMySQL/mysqlclient-python) - mysql-python fork supporting Python 3.
    * [oursql](https://pythonhosted.org/oursql/) - A better MySQL connector with support for native prepared statements and BLOBs.
    * [PyMySQL](https://github.com/PyMySQL/PyMySQL) - Pure Python MySQL driver compatible to mysql-python.
* PostgreSQL
    * [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.
    * [txpostgres](https://github.com/wulczer/txpostgres) - Twisted based asynchronous driver for PostgreSQL.
* Other Relational Databases
    * [apsw](http://rogerbinns.github.io/apsw/) - Another Python SQLite wrapper.
    * [dataset](https://github.com/pudo/dataset) - Store Python dicts in a database - works with SQLite, MySQL, and PostgreSQL.
    * [pymssql](http://www.pymssql.org/en/latest/) - A simple database interface to Microsoft SQL Server.
* NoSQL Databases
    * [cassandra-python-driver](https://github.com/datastax/python-driver) - Python driver for Cassandra.
    * [HappyBase](https://github.com/wbolster/happybase) - A developer-friendly library for Apache HBase.
    * [Plyvel](https://github.com/wbolster/plyvel) - A fast and feature-rich Python interface to LevelDB.
    * [py2neo](http://py2neo.org/2.0/) - Python wrapper client for Neo4j's restful interface.
    * [pycassa](https://github.com/pycassa/pycassa) - Python Thrift driver for Cassandra.
    * [PyMongo](https://docs.mongodb.org/ecosystem/drivers/python/) - The official Python client for MongoDB.
    * [redis-py](https://github.com/andymccurdy/redis-py) - The Redis Python Client.
    * [telephus](https://github.com/driftx/Telephus) - Twisted based client for Cassandra.
    * [txRedis](https://github.com/deldotdr/txRedis) - Twisted based client for Redis.

## Date and Time

*Libraries for working with dates and times.*

* [arrow](https://github.com/crsmithdev/arrow) - Better dates & times for Python.
* [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/2/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) - A easy-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.

## Debugging Tools

*Libraries for debugging code.*

* pdb-like Debugger
    * [ipdb](https://pypi.python.org/pypi/ipdb) - IPython-enabled [pdb](https://docs.python.org/3/library/pdb.html).
    * [pdb++](https://pypi.python.org/pypi/pdbpp/) - Another drop-in replacement for pdb.
    * [pudb](https://pypi.python.org/pypi/pudb) - A full-screen, console-based Python debugger.
    * [remote-pdb](https://github.com/ionelmc/python-remote-pdb) - Remote vanilla PDB (over TCP sockets).
    * [wdb](https://github.com/Kozea/wdb) - An improbable web debugger through WebSockets.
* 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.
* Others
    * [django-debug-toolbar](https://github.com/django-debug-toolbar/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.
    * [hunter](https://github.com/ionelmc/python-hunter) - Hunter is a flexible code tracing toolkit.
    * [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) - Debug service that will accept unix domain socket connections and present the stacktraces for all threads and an interactive prompt.
    * [pyelftools](https://github.com/eliben/pyelftools) - Parsing and analyzing ELF files and DWARF debugging information.
    * [pyringe](https://github.com/google/pyringe) - Debugger capable of attaching to and injecting code into Python processes.

## Deep Learning

*Frameworks for Neural Networks and Deep Learning. 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/fchollet/keras) - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.
* [Neupy](http://neupy.com/pages/home.html) - Running and testing different Artificial Neural Networks algorithms.
* [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.
* [Cloud-Init](http://cloudinit.readthedocs.io/) - 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](http://www.fabfile.org/) - A simple, Pythonic tool for remote execution and deployment.
* [Fabtools](https://github.com/ronnix/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](http://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.

## 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/) - A tool to build Windows installers, installers bundle Python itself.

## Documentation

*Libraries for generating project documentation.*

* [Sphinx](http://www.sphinx-doc.org/en/latest/) - Python Documentation generator.
    * [awesome-sphinxdoc](https://github.com/yoloseem/awesome-sphinxdoc)
* [MkDocs](http://www.mkdocs.org/) - Markdown friendly documentation generator.
* [pdoc](https://github.com/BurntSushi/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://www.soimort.org/you-get/) - A YouTube/Youku/Niconico video downloader written in Python 3.
* [youtube-dl](http://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 solution.
* [python-currencies](https://github.com/Alir3z4/python-currencies) - Display money format and its filthy currencies.
* [shoop](https://www.shoop.io/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/klen/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://github.com/DonJayamanne/pythonVSCode) - An extension with rich support for the Python language, with features including linting, IntelliSense, formatting, refactoring, debugging, unit tests, and jupyter support.
    * [Magic Python](https://github.com/MagicStack/MagicPython) - Cutting edge Python syntax highlighter for Sublime Text, Atom, and Visual Studio Code. Used by GitHub to highlight your Python code!
* IDE
    * [LiClipse](http://www.liclipse.com/) - Free polyglot IDE based on Eclipse. Uses PyDev for Python support.
    * [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) - A 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/tonioo/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 environment management.*

* [p](https://github.com/qw3rtman/p) - Dead simple interactive Python version management.
* [pyenv](https://github.com/yyuu/pyenv) - Simple Python version management.
* [venv](https://docs.python.org/3/library/venv.html) - (Python standard library in Python 3.3+) Creating lightweight virtual environments.
* [virtualenv](https://pypi.python.org/pypi/virtualenv) - A tool to create isolated Python environments.
* [virtualenvwrapper](https://pypi.python.org/pypi/virtualenvwrapper) - A set of extensions to virtualenv.

## Files

*Libraries for file manipulation and MIME type detection.*

* [imghdr](https://docs.python.org/2/library/imghdr.html) - (Python standard library) Determine the type of an image.
* [mimetypes](https://docs.python.org/2/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/2/library/os.path.html).
* [pathlib](https://pathlib.readthedocs.org/en/pep428/) - (Python standard library in Python 3.4+) An cross-platform, object-oriented path library.
* [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.python.org/pypi/cffi) - Foreign Function Interface for Python calling C code.
* [ctypes](https://docs.python.org/2/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-crispy-forms](https://github.com/maraujop/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.*

* [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

*Libraries for working with graphical user interface applications.*

* [curses](https://docs.python.org/2/library/curses.html#module-curses) - Built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
* [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declaratic 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.
* [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](http://www.qt.io/) cross-platform application and UI framework, with support for both Qt v4 and Qt v5 frameworks.
* [PySide](https://wiki.qt.io/PySide) - Python bindings for the [Qt](http://www.qt.io/) cross-platform application and UI framework, supporting the Qt v4 framework.
* [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](http://wxpython.org/) - A blending of the wxWidgets C++ class library with the Python.

## Game Development

*Awesome game development libraries.*

* [Cocos2d](http://cocos2d.org/) - cocos2d is a framework for building 2D games, demos, and other graphical/interactive applications. It is based on pyglet.
* [Panda3D](https://www.panda3d.org/) - 3D game engine developed by Disney and maintained by Carnegie Mellon's Entertainment Technology Center. Written in C++, completely wrapped in Python.
* [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](http://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 country choices for use with forms, flag icons static files, and a country field for models.
* [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.python.org/pypi/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) - Simple XML Parsing.
* [xmltodict](https://github.com/martinblech/xmltodict) - Working with XML feel like you are working with JSON.

## HTTP

*Libraries for working with HTTP.*

* [grequests](https://github.com/kennethreitz/grequests) - requests + gevent for asynchronous HTTP requests.
* [httplib2](https://github.com/jcgregorio/httplib2) - Comprehensive HTTP client library.
* [requests](http://docs.python-requests.org/en/latest/) - 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/).
* [Pingo](http://www.pingo.io/) - Pingo provides a uniform API to program devices like the Raspberry Pi, pcDuino, Intel Galileo, etc.
* [Pyro](http://pyrorobotics.com/) - Python Robotics.
* [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.

## High Performance

*Libraries for making Python faster.*

* [Cython](http://cython.org/) - Optimizing Static Compiler for Python. Uses type mixins to compile Python into C or C++ modules resulting in large performance gains.
* [Numba](http://numba.pydata.org/) - Python JIT complier to LLVM aimed at scientific Python.
* [PeachPy](https://github.com/Maratyszcza/PeachPy) - x86-64 assembler embedded in Python. Can be used as inline assembler for Python or as a stand-alone assembler for Windows, Linux, OS X, Native Client and Go.
* [PyPy](http://pypy.org/) - An implementation of Python in Python. The interpreter uses black magic to make Python very fast without having to add in additional type information.
* [Pyston](https://github.com/dropbox/pyston) - A Python implementation built using LLVM and modern JIT techniques with the goal of achieving good performance.
* [Pyjion](https://github.com/Microsoft/Pyjion) - A JIT for Python based upon CoreCLR.
* [Stackless Python](https://bitbucket.org/stackless-dev/stackless/overview) - An enhanced version of the Python.

## Imagery

*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.*

* [CLPython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp.
* [CPython](https://hg.python.org/cpython) - **Default, most widely used implementation of the Python programming language written in C.**
* [IronPython](https://github.com/IronLanguages/ironpython3) - Implementation of the Python programming language written in C# targeting the .NET Framework and Mono.
* [Jython](https://hg.python.org/jython) - Implementation of Python programming language written in Java for the Java virtual machine (JVM).
* [MicroPython](https://github.com/micropython/micropython) - MicroPython - a lean and efficient Python programming language implementation for microcontrollers and constrained systems
* [PyPy](https://bitbucket.org/pypy/pypy) - Implementation of the Python programming language written in RPython and translated into C. PyPy focuses on speed, efficiency and compatibility with the original CPython interpreter.
* [PySec](https://github.com/ebranca/owasp-pysec) - Hardened version of python that makes it easier for security professionals and developers to write applications more resilient to attacks and manipulations.
* [Stackless Python](https://bitbucket.org/stackless-dev/stackless/wiki/Home) - An enhanced version of the Python programming language which allows programmers to reap the benefits of thread-based programming without the performance and complexity problems associated with conventional threads.

## 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.
* [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/) - 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](http://pythonhosted.org/joblib/index.html) - 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](http://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.*

* [Eliot](https://github.com/ClusterHQ/eliot) - Logging for complex & distributed systems.
* [logbook](http://pythonhosted.org/Logbook/) - Logging replacement for Python.
* [logging](https://docs.python.org/2/library/logging.html) - (Python standard library) Logging facility for Python.
* [Raven](https://github.com/getsentry/raven-python) - The Python client for Sentry.
* [Sentry](https://pypi.python.org/pypi/sentry) - A realtime logging and aggregation server.

## Machine Learning

*Libraries for Machine Learning. See: [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning#python).*

* [gensim](https://github.com/piskvorky/gensim) - Topic Modelling for Humans.
* [MLlib](http://spark.apache.org/mllib/) - [Apache Spark](http://spark.apache.org/)'s scalable Machine Learning library.
* [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing.
* [Pylearn2](https://github.com/lisa-lab/pylearn2) - A Machine Learning library based on [Theano](https://github.com/Theano/Theano).
* [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning.
* [vowpal_porpoise](https://github.com/josephreisinger/vowpal_porpoise) - A lightweight Python wrapper for [Vowpal Wabbit](https://github.com/JohnLangford/vowpal_wabbit/).

## MapReduce

*Frameworks and libraries for MapReduce.*

* [dpark](https://github.com/douban/dpark) - Python clone of Spark, a MapReduce alike framework in Python.
* [dumbo](https://github.com/klbostee/dumbo) - Python module that allows one to easily write and run Hadoop programs.
* [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.
* [PySpark](http://spark.apache.org/docs/latest/programming-guide.html) - The Spark Python API.
* [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data. Integrates with [Apache Storm](http://storm.apache.org/).

## 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://sourceforge.net/projects/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.
* [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.
* [Pychievements](https://github.com/PacketPerception/pychievements) - A framework for creating and tracking achievements.
* [Tryton](http://www.tryton.org/) - A general purpose business framework.

## Natural Language Processing

*Libraries for working with human languages.*

* [Jieba](https://github.com/fxsjy/jieba) - Chinese text segmentation.
* [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](http://www.clips.ua.ac.be/pattern) - A web mining module for the Python.
* [SnowNLP](https://github.com/isnowfy/snownlp) - A library for processing Chinese text.
* [spaCy](https://spacy.io/) - A library for industrial-strength natural language processing in Python and Cython.
* [TextBlob](https://github.com/sloria/TextBlob) - Providing a consistent API for diving into common NLP tasks.
* [TextGrocery](https://github.com/2shou/TextGrocery) - A simple, efficient short-text classification tool based on LibLinear and Jieba.

## Network Virtualization

*Tools and libraries for Virtual Networking and SDN (Software Defined Networking).*

* [Mininet](http://mininet.org/) - A popular network emulator and API written in Python.
* [POX](https://github.com/noxrepo/pox) - An open source development platform for Python-based Software Defined Networking (SDN) control applications, such as OpenFlow SDN controllers.
* [Pyretic](http://frenetic-lang.org/pyretic/) - A member of the Frenetic family of SDN programming languages that provides powerful abstractions over network switches or emulators.
* [SDX Platform](https://github.com/sdn-ixp/internet2award) - SDN based IXP implementation that leverages Mininet, POX and Pyretic.

## Networking

*Libraries for networking programming.*

* [asyncio](https://docs.python.org/3/library/asyncio.html) - (Python standard library) Asynchronous I/O, event loop, coroutines and tasks.
* [diesel](https://github.com/dieseldev/diesel) - Greenlet-based event I/O Framework for Python.
* [pulsar](https://github.com/quantmind/pulsar) - Event-driven concurrent framework for Python.
* [pyzmq](http://zeromq.github.io/pyzmq/) - A Python wrapper for the ZeroMQ message library.
* [Twisted](https://twistedmatrix.com/trac/) - An event-driven networking engine.
* [txZMQ](https://github.com/smira/txZMQ) - Twisted based wrapper for the ZeroMQ message library.

## 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 newsfeed 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/) - A part of Django.
    * [SQLAlchemy](http://www.sqlalchemy.org/) - The Python SQL Toolkit and Object Relational Mapper.
        * [awesome-sqlalchemy](https://github.com/dahlia/awesome-sqlalchemy)
    * [Peewee](https://github.com/coleifer/peewee) - A small, expressive ORM.
    * [PonyORM](https://ponyorm.com/) - ORM that provides a generator-oriented interface to SQL.
    * [python-sql](https://pypi.python.org/pypi/python-sql) - Write SQL queries pythonically.
* NoSQL Databases
    * [django-mongodb-engine](https://github.com/django-nonrel/mongodb-engine) - Django MongoDB Backend.
    * [flywheel](https://github.com/mathcamp/flywheel) - Object mapper for Amazon DynamoDB.
    * [hot-redis](https://github.com/stephenmcd/hot-redis) - Rich Python data types for Redis.
    * [MongoEngine](http://mongoengine.org/) - A Python Object-Document-Mapper for working with MongoDB.
    * [PynamoDB](https://github.com/jlafon/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.
* Others
    * [butterdb](https://github.com/Widdershin/butterdb) - A Python ORM for Google Drive Spreadsheets.
    * [dataset](https://github.com/pudo/dataset) - A JSON-based database.

## Package Management

*Libraries for package and dependency management.*

* [pip](https://pip.pypa.io/en/stable/) - The Python package and dependency manager.
    * [Python Package Index](https://pypi.python.org/pypi)
* [conda](https://github.com/conda/conda/) - Cross-platform, Python-agnostic binary package manager.
* [Curdling](http://clarete.li/curdling/) - Curdling is a command line tool for managing Python packages.
* [pip-tools](https://github.com/nvie/pip-tools) - A set of tools to keep your pinned Python dependencies fresh.
* [wheel](http://pythonwheels.com/) - The new standard of Python distribution and are intended to replace eggs.

## Package Repositories

*Local PyPI repository server and proxies.*

* [warehouse](https://github.com/pypa/warehouse) - Next generation Python Package Repository (PyPI).
    * [Warehouse](https://pypi.org/)
* [bandersnatch](https://bitbucket.org/pypa/bandersnatch) - PyPI mirroring tool provided by Python Packaging Authority (PyPA).
* [devpi](http://doc.devpi.net/latest/) - PyPI server and packaging/testing/release tool.
* [localshop](https://github.com/mvantellingen/localshop) - Local PyPI server (custom packages and auto-mirroring of pypi).

## Permissions

*Libraries that allow or deny users access to data or functionality.*

* [Carteblanche](https://github.com/neuman/python-carteblanche/) - Module to align code with thoughts of users and designers. Also magically handles navigation and permissions.
* [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.*

* [envoy](https://github.com/kennethreitz/envoy) - Python [subprocess](https://docs.python.org/2/library/subprocess.html) for Humans™.
* [sarge](http://sarge.readthedocs.io/) - Yet another wrapper for subprocess.
* [sh](https://github.com/amoffat/sh) - A full-fledged subprocess replacement for Python.

## Queue

*Libraries for working with event and 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) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent.
* [rq](http://python-rq.org/) - Simple job queues for Python.
* [simpleq](https://github.com/rdegges/simpleq) - A simple, infinitely scalable, Amazon SQS based queue.

## RESTful API

*Libraries for developing RESTful APIs.*

* Django
    * [django-formapi](https://github.com/5monkeys/django-formapi) - Create JSON APIs with Django's form validation.
    * [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/nicolaiarocci/eve) - REST API framework powered by Flask, MongoDB and good intentions.
    * [flask-api-utils](https://github.com/marselester/flask-api-utils) - Taking care of API representation and authentication for Flask.
    * [flask-api](http://www.flaskapi.org/) - Browsable Web APIs for Flask.
    * [flask-restful](https://github.com/flask-restful/flask-restful) - Quickly building REST APIs for Flask.
    * [flask-restless](https://github.com/jfinkels/flask-restless) - Generating RESTful APIs for database models defined with SQLAlchemy.
* Pyramid
    * [cornice](https://github.com/mozilla-services/cornice) - A RESTful framework for Pyramid.
* Framework agnostic
    * [falcon](http://falconframework.org/) - A high-performance framework for building cloud APIs and web app backends.
    * [hug](https://github.com/timothycrosley/hug) - A Python3 framework for cleanly exposing APIs over HTTP and the Command Line with automatic documentation and validation.
    * [restless](https://github.com/toastdriven/restless) - Framework agnostic REST framework based on lessons learned from Tastypie.
    * [ripozo](https://github.com/vertical-knowledge/ripozo) - Quickly creating REST/HATEOAS/Hypermedia APIs.
    * [sandman](https://github.com/jeffknupp/sandman) - Automated REST APIs for existing database-driven systems.

## RPC Servers

*RPC-compatible servers.*

* [SimpleJSONRPCServer](https://github.com/joshmarshall/jsonrpclib/) - This library is an implementation of the JSON-RPC specification.
* [SimpleXMLRPCServer](https://docs.python.org/2/library/simplexmlrpcserver.html) - (Python standard library) Simple XML-RPC server implementation, single-threaded.
* [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.*

* [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.
* [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.
* [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.
* [RDKit](http://www.rdkit.org/) - Cheminformatics and Machine Learning Software.
* [SciPy](http://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.

## 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).
* [esengine](https://github.com/catholabs/esengine) - ElasticSearch ODM (Object Document Mapper) for Python.
* [solrpy](https://github.com/edsu/solrpy) - A Python client for [solr](http://lucene.apache.org/solr/).
* [Whoosh](http://whoosh.readthedocs.io/) - A fast, pure Python search engine library.

## Serialization

*Libraries for serializing complex data types*

* [marshmallow](https://github.com/marshmallow-code/marshmallow) - marshmallow is an ORM/ODM/framework-agnostic library for converting complex datatypes, such as objects, to and from native Python datatypes.

## Serverless Frameworks

*Frameworks for developing serverless Python code.*

* [apex](https://github.com/apex/apex) - Build, deploy, and manage [AWS Lambda](https://aws.amazon.com/lambda/) functions with ease.
* [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
    * [Marmir](https://github.com/brianray/mm) - Takes Python data structures and turns them into spreadsheets.
    * [openpyxl](https://openpyxl.readthedocs.io/) - 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.
    * [relatorio](http://relatorio.tryton.org/) - Templating OpenDocument files.
    * [unoconv](https://github.com/dagwieers/unoconv) - Convert between any document format supported by LibreOffice/OpenOffice.
    * [XlsxWriter](https://xlsxwriter.readthedocs.io) - A Python module for creating Excel .xlsx files.
    * [xlwings](http://xlwings.org/) - 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](http://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.*

* [Cactus](https://github.com/koenbok/Cactus/) - Static site generator for designers.
* [Hyde](http://hyde.github.io/) - Jinja2-based static web site generator.
* [Lektor](https://www.getlektor.com/) - An easy to use static CMS and blog engine.
* [Nikola](https://www.getnikola.com/) - A static website and blog generator.
* [Pelican](http://blog.getpelican.com/) - Uses Markdown or ReST for content and Jinja 2 for themes. Supports DVCS, Disqus. AGPL.
* [Tinkerer](http://tinkerer.me/) - Tinkerer is a blogging engine/.static website generator powered by Sphinx.

## Tagging

*Libraries for tagging items.*

* [django-taggit](https://github.com/alex/django-taggit) - Simple tagging for Django.

## 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-python) - Hypothesis is an advanced Quickcheck style property based testing library.
    * [mamba](http://nestorsalceda.github.io/mamba/) - The definitive testing tool for Python. Born under the banner of BDD.
    * [nose](https://github.com/nose-devs/nose) - A nicer unittest for Python.
    * [nose2](https://github.com/nose-devs/nose2) - The successor to nose, based on unittest2.
    * [pytest](http://pytest.org/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/2/library/unittest.html) - (Python standard library) Unit testing framework.
* Test Runners
    * [green](https://github.com/CleanCut/green) - A clean, colorful test runner.
    * [tox](https://tox.readthedocs.io/) - 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.python.org/pypi/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.python.org/pypi/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.
    * [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/rbarrois/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.python.org/pypi/coverage) - Code coverage measurement.
* Fake Data
    * [church](https://github.com/lk-geimfari/church) - 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.python.org/pypi/radar) - Generate random datetime / time.
* Error Handler
    * [FuckIt.py](https://github.com/ajalt/fuckitpy) - FuckIt.py uses state-of-the-art technology to make sure your Python code runs whether it has any right to or not.

## 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/2/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) - Spacing texts for CJK and alphanumerics.
    * [pyfiglet](https://github.com/pwaller/pyfiglet) - An implementation of figlet written in Python.
    * [shortuuid](https://github.com/stochastic-technologies/shortuuid) - A generator library for concise, unambiguous and URL-safe UUIDs.
    * [unidecode](https://pypi.python.org/pypi/Unidecode) - ASCII transliterations of Unicode text.
    * [uniout](https://github.com/moskytw/uniout) - Print readable chars instead of the escaped string.
    * [xpinyin](https://github.com/lxneng/xpinyin) - A library to translate Chinese hanzi (漢字) to pinyin (拼音).
* 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.
* Parser
    * [phonenumbers](https://github.com/daviddrysdale/python-phonenumbers) - Parsing, formatting, storing and validating international phone numbers.
    * [PLY](http://www.dabeaz.com/ply/) - Implementation of lex and yacc parsing tools for Python
    * [Pygments](http://pygments.org/) - A generic syntax highlighter.
    * [pyparsing](http://pyparsing.wikispaces.com/) - A general purpose framework for generating parsers.
    * [python-nameparser](https://github.com/derek73/python-nameparser) - Parsing human names into their individual components.
    * [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. 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/sunlightlabs/django-wordpress/) - WordPress models and views for Django.
* [facebook-sdk](https://github.com/mobolic/facebook-sdk) - Facebook Platform Python SDK.
* [facepy](https://github.com/jgorset/facepy) - Facepy makes it really easy to interact with Facebook's Graph API
* [gmail](https://github.com/charlierguo/gmail) - A Pythonic interface for Gmail.
* [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 manipulating URLs simple.
* [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.
* [short_url](https://github.com/Alir3z4/python-short_url) - Python implementation for generating Tiny URL and bit.ly-like URLs.
* [webargs](https://github.com/sloria/webargs) - A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, and Pyramid.

## Video

*Libraries for manipulating video and GIFs.*

* [moviepy](http://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.

## WSGI Servers

*WSGI-compatible web servers.*

* [bjoern](https://pypi.python.org/pypi/bjoern) - Asynchronous, very fast and written in C.
* [fapws3](http://www.fapws.org/) - Asynchronous (network side only), written in C.
* [gunicorn](https://pypi.python.org/pypi/gunicorn) - Pre-forked, partly written in C.
* [meinheld](https://pypi.python.org/pypi/meinheld) - Asynchronous, partly written in C.
* [netius](https://github.com/hivesolutions/netius) - Asynchronous, very fast.
* [paste](http://pythonpaste.org/) - Multi-threaded, stable, tried and tested.
* [rocket](https://pypi.python.org/pypi/rocket) - Multi-threaded.
* [uWSGI](https://uwsgi-docs.readthedocs.io/) - A project aims at developing a full stack for building hosting services, written in C.
* [waitress](https://waitress.readthedocs.io/) - Multi-threaded, powers Pyramid.
* [Werkzeug](http://werkzeug.pocoo.org/) - A WSGI utility library for Python that powers Flask and can easily be embedded into your own projects.

## Web Content Extracting

*Libraries for extracting web contents.*

* [Haul](https://github.com/vinta/Haul) - An Extensible Image Crawler.
* [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.
* [opengraph](https://github.com/erikriver/opengraph) - A Python module to parse the Open Graph Protocol
* [python-goose](https://github.com/grangier/python-goose) - HTML Content/Article Extractor.
* [python-readability](https://github.com/buriy/python-readability) - Fast Python port of arc90's readability tool.
* [sanitize](https://github.com/Alir3z4/python-sanitize) - Bringing sanity to world of messed-up data.
* [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.

## Web Crawling

*Libraries for scraping websites.*

* [cola](https://github.com/chineking/cola) - A distributed crawling framework.
* [Demiurge](https://github.com/matiasb/demiurge) - PyQuery-based scraping micro-framework.
* [feedparser](http://pythonhosted.org/feedparser/) - Universal feed parser.
* [Grab](http://grablib.org/) - Site scraping framework.
* [MechanicalSoup](https://github.com/hickford/MechanicalSoup) - A Python library for automating interaction with websites.
* [portia](https://github.com/scrapinghub/portia) - Visual scraping for Scrapy.
* [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](http://scrapy.org/) - A fast high-level screen scraping and web crawling framework.

## Web Frameworks

*Full stack web frameworks.*

* [Bottle](http://bottlepy.org/docs/dev/index.html) - A fast, simple and lightweight WSGI micro web-framework.
* [CherryPy](http://www.cherrypy.org/) - A minimalist Python web framework, HTTP/1.1-compliant and WSGI thread-pooled.
* [Django](https://www.djangoproject.com/) - The most popular web framework in Python.
    * [awesome-django](https://github.com/rosarior/awesome-django)
* [Flask](http://flask.pocoo.org/) - A microframework for Python.
    * [awesome-flask](https://github.com/humiaozuzu/awesome-flask)
* [Pyramid](http://www.pylonsproject.org/) - A small, fast, down-to-earth, open source Python web framework.
    * [awesome-pyramid](https://github.com/uralbash/awesome-pyramid)
* [Tornado](http://www.tornadoweb.org/en/latest/) - A Web framework and asynchronous networking library.
* [TurboGears](http://www.turbogears.org/) - A microframework that can scale up to a full stack solution.

## WebSocket

*Libraries for working with WebSocket.*

* [AutobahnPython](https://github.com/crossbario/autobahn-python) - WebSocket & WAMP for Python on Twisted and [asyncio](https://docs.python.org/3/library/asyncio.html).
* [Crossbar](https://github.com/crossbario/crossbar/) - Open-source Unified Application Router (Websocket & WAMP for Python on Autobahn).
* [django-socketio](https://github.com/stephenmcd/django-socketio) - WebSockets for Django.
* [WebSocket-for-Python](https://github.com/Lawouach/WebSocket-for-Python) - WebSocket client and server library for Python 2 and 3 as well as PyPy.

# Services

Online tools and APIs to simplify development.

## Continuous Integration

*See: [awesome-CIandCD](https://github.com/ciandcd/awesome-ciandcd#online-build-system).*

* [CircleCI](https://circleci.com/) - A CI service that can run very fast parallel testing. (GitHub only)
* [Travis CI](https://travis-ci.org) - A popular CI service for your open source and [private](https://travis-ci.com) projects. (GitHub only)
* [Vexor CI](https://vexor.io) - A continuous integration tool for private apps with pay-per-minute billing model.
* [Wercker](http://wercker.com/) - A Docker-based platform for building and deploying applications and microservices.

## Code Quality

* [Codacy](https://www.codacy.com/) - Automated Code Review to ship better code, faster. Free for Open Source.
* [Codecov](https://codecov.io/) - Code coverage dashboard.
* [Landscape](https://landscape.io/) - Hosted continuous Python code metrics.
* [QuantifiedCode](https://www.quantifiedcode.com/) - A data-driven, automated, continuous code review tool.

# Resources

Where to discover new Python libraries.

## Podcasts

* [Podcast.init](http://podcastinit.com/)
* [Talk Python To Me](https://talkpython.fm/)

## 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)

## Websites

* [/r/CoolGithubProjects](https://www.reddit.com/r/coolgithubprojects/)
* [/r/Python](https://www.reddit.com/r/python)
* [Awesome Python @LibHunt](http://python.libhunt.com)
* [Django Packages](https://www.djangopackages.com/)
* [Full Stack Python](https://www.fullstackpython.com/)
* [PyPI Ranking](http://pypi-ranking.info/alltime)
* [Python 3 Wall of Superpowers](http://python3wos.appspot.com/)
* [Python Hackers](http://pythonhackers.com/open-source/)
* [Python ZEEF](https://python.zeef.com/alan.richmond)
* [Python 开发社区](http://python.ctolib.com)
* [Trending Python repositories on GitHub today](https://github.com/trending?l=python)

## Weekly

* [CodeTengu Weekly](http://weekly.codetengu.com/)
* [Import Python Newsletter](http://importpython.com/newsletter/)
* [Pycoder's Weekly](http://pycoders.com/)
* [Python Weekly](http://www.pythonweekly.com/)

# Other Awesome Lists

List of lists.

* Monty
    * [awesome](https://github.com/sindresorhus/awesome)
    * [lists](https://github.com/jnv/lists)
* Python
    * [pycrumbs](https://github.com/kirang89/pycrumbs)
    * [python-github-projects](https://github.com/checkcheckzz/python-github-projects)
    * [python_reference](https://github.com/rasbt/python_reference)
    * [pythonidae](https://github.com/svaksha/pythonidae)

# 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**.