# 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) - [Anti-spam](#anti-spam) - [Asset Management](#asset-management) - [Audio](#audio) - [Authentication](#authentication) - [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) - [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-and-sdn) - [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.* * Debugger * [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. * [ipdb](https://pypi.python.org/pypi/ipdb) - IPython-enabled [pdb](https://docs.python.org/2/library/pdb.html). * [pudb](https://pypi.python.org/pypi/pudb) - A full-screen, console-based Python debugger. * [pyringe](https://github.com/google/pyringe) - Debugger capable of attaching to and injecting code into Python processes. * [wdb](https://github.com/Kozea/wdb) - An improbable web debugger through WebSockets. * [winpdb](http://winpdb.org/) - A Python Debugger with GUI, capable of remote debugging based on `rpdb2`. * 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 * [pyelftools](https://github.com/eliben/pyelftools) - Parsing and analyzing ELF files and DWARF debugging information. * [python-statsd](https://github.com/WoLpH/python-statsd) - Python Client for the [statsd](https://github.com/etsy/statsd/) server. ## 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. ## 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**.