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  • Vinta Chen
  • awesome-python
  • Merge requests
  • !1423

Added OSINT category & phoneinfoga under OSINT

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Closed Administrator requested to merge github/fork/TechnicSparks/master into master 5 years ago
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Created by: TechnicSparks

What is this Python project?

From Phoneinfoga github page: PhoneInfoga is one of the most advanced tools to scan phone numbers using only free resources. The goal is to first gather standard information such as country, area, carrier and line type on any international phone numbers with a very good accuracy. Then search for footprints on search engines to try to find the VoIP provider or identify the owner.

What's the difference between this Python project and similar ones?

  • Check if phone number exists and is possible
  • Gather standard informations such as country, line type and carrier
  • OSINT footprinting using external APIs, Google Hacking, phone books & search engines
  • Check for reputation reports, social media, disposable numbers and more
  • Scan several numbers at once
  • Use custom formatting for more effective OSINT reconnaissance
  • Automatic footprinting on several custom formats

Anyone who agrees with this pull request could vote for it by adding a :thumbsup: to it, and usually, the maintainer will merge it when votes reach 20.

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@@ -7,15 +7,17 @@ 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)
- [Built-in Classes Enhancement](#built-in-classes-enhancement)
- [Caching](#caching)
- [ChatOps Tools](#chatops-tools)
- [Cluster Computing](#cluster-computing)
- [CMS](#cms)
- [Code Analysis](#code-analysis)
- [Command-line Interface Development](#command-line-interface-development)
- [Command-line Tools](#command-line-tools)
- [Compatibility](#compatibility)
- [Computer Vision](#computer-vision)
@@ -25,13 +27,12 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Data Analysis](#data-analysis)
- [Data Validation](#data-validation)
- [Data Visualization](#data-visualization)
- [Database](#database)
- [Database Drivers](#database-drivers)
- [Database](#database)
- [Date and Time](#date-and-time)
- [Debugging Tools](#debugging-tools)
- [Deep Learning](#deep-learning)
- [DevOps Tools](#devops-tools)
- [Distributed Computing](#distributed-computing)
- [Distribution](#distribution)
- [Documentation](#documentation)
- [Downloader](#downloader)
@@ -45,10 +46,10 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Functional Programming](#functional-programming)
- [Game Development](#game-development)
- [Geolocation](#geolocation)
- [GUI Development](#gui-development)
- [GUI](#gui)
- [Hardware](#hardware)
- [HTML Manipulation](#html-manipulation)
- [HTTP Clients](#http-clients)
- [HTTP](#http)
- [Image Processing](#image-processing)
- [Implementations](#implementations)
- [Interactive Interpreter](#interactive-interpreter)
@@ -62,6 +63,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Networking](#networking)
- [News Feed](#news-feed)
- [ORM](#orm)
- [OSINT Tools](#osint-tools)
- [Package Management](#package-management)
- [Package Repositories](#package-repositories)
- [Permissions](#permissions)
@@ -69,7 +71,6 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Queue](#queue)
- [Recommender Systems](#recommender-systems)
- [RESTful API](#restful-api)
- [Robotics](#robotics)
- [RPC Servers](#rpc-servers)
- [Science](#science)
- [Search](#search)
@@ -84,9 +85,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Third-party APIs](#third-party-apis)
- [URL Manipulation](#url-manipulation)
- [Video](#video)
- [Web Asset Management](#web-asset-management)
- [Web Content Extracting](#web-content-extracting)
- [Web Crawling](#web-crawling)
- [Web Crawling & Web Scraping](#web-crawling--web-scraping)
- [Web Frameworks](#web-frameworks)
- [WebSocket](#websocket)
- [WSGI Servers](#wsgi-servers)
@@ -98,23 +98,22 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Twitter](#twitter)
- [Websites](#websites)
- [Weekly](#weekly)
- [Other Awesome Lists](#other-awesome-lists)
- [Contributing](#contributing)
---
- - -
## Admin Panels
*Libraries for administrative interfaces.*
* [ajenti](https://github.com/ajenti/ajenti) - The admin panel your servers deserve.
* [django-grappelli](https://grappelliproject.com/) - A jazzy skin for the Django Admin-Interface.
* [django-jet](https://github.com/geex-arts/django-jet) - Modern responsive template for the Django admin interface with improved functionality.
* [django-suit](https://djangosuit.com/) - Alternative Django Admin-Interface (free only for Non-commercial use).
* [Ajenti](https://github.com/ajenti/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.
* [jet-bridge](https://github.com/jet-admin/jet-bridge) - Admin panel framework for any application with nice UI (ex Jet Django)
* [flask-admin](https://github.com/flask-admin/flask-admin) - Simple and extensible administrative interface framework for Flask.
* [flower](https://github.com/mher/flower) - Real-time monitor and web admin for Celery.
* [wooey](https://github.com/wooey/wooey) - A Django app which creates automatic web UIs for Python scripts.
* [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
@@ -123,40 +122,68 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [algorithms](https://github.com/keon/algorithms) - Minimal examples of data structures and algorithms in Python.
* [PyPattyrn](https://github.com/tylerlaberge/PyPattyrn) - A simple yet effective library for implementing common design patterns.
* [python-patterns](https://github.com/faif/python-patterns) - A collection of design patterns in Python.
* [sortedcontainers](https://github.com/grantjenks/python-sortedcontainers) - Fast, pure-Python implementation of SortedList, SortedDict, and SortedSet types.
* [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://wimleers.com/fileconveyor) - A daemon to detect and sync files to CDNs, S3 and FTP.
* [flask-assets](https://github.com/miracle2k/flask-assets) - Helps you integrate webassets into your Flask app.
* [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 and its metadata.*
* Audio
* [audioread](https://github.com/beetbox/audioread) - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.
* [dejavu](https://github.com/worldveil/dejavu) - Audio fingerprinting and recognition.
* [mingus](http://bspaans.github.io/python-mingus/) - An advanced music theory and notation package with MIDI file and playback support.
* [pyAudioAnalysis](https://github.com/tyiannak/pyAudioAnalysis) - Audio feature extraction, classification, segmentation and applications.
* [pydub](https://github.com/jiaaro/pydub) - Manipulate audio with a simple and easy high level interface.
* [TimeSide](https://github.com/Parisson/TimeSide) - Open web audio processing framework.
* Metadata
* [beets](https://github.com/beetbox/beets) - A music library manager and [MusicBrainz](https://musicbrainz.org/) tagger.
* [eyeD3](https://github.com/nicfit/eyeD3) - A tool for working with audio files, specifically MP3 files containing ID3 metadata.
* [mutagen](https://github.com/quodlibet/mutagen) - A Python module to handle audio metadata.
* [tinytag](https://github.com/devsnd/tinytag) - A library for reading music meta data of MP3, OGG, FLAC and Wave files.
*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](https://aws.amazon.com/elastictranscoder/).
* [eyeD3](http://eyed3.nicfit.net/) - A tool for working with audio files, specifically MP3 files containing ID3 metadata.
* [id3reader](https://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://github.com/quodlibet/mutagen) - A Python module to handle audio metadata.
* [pyAudioAnalysis](https://github.com/tyiannak/pyAudioAnalysis) - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
* [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://static.echonest.com/enspex/) 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
* [authlib](https://github.com/lepture/authlib) - JavaScript Object Signing and Encryption draft implementation.
* [Authomatic](https://github.com/authomatic/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.
* [oauthlib](https://github.com/idan/oauthlib) - A generic and thorough implementation of the OAuth request-signing logic.
* [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.
* JWT
* [pyjwt](https://github.com/jpadilla/pyjwt) - JSON Web Token implementation in Python.
* [python-jose](https://github.com/mpdavis/python-jose/) - A JOSE implementation in Python.
* [python-jwt](https://github.com/davedoesdev/python-jwt) - A module for generating and verifying JSON Web Tokens.
* [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
@@ -165,76 +192,85 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [BitBake](http://www.yoctoproject.org/docs/1.6/bitbake-user-manual/bitbake-user-manual.html) - A make-like build tool for embedded Linux.
* [buildout](http://www.buildout.org/en/latest/) - A build system for creating, assembling and deploying applications from multiple parts.
* [PlatformIO](https://github.com/platformio/platformio-core) - A console tool to build code with different development platforms.
* [pybuilder](https://github.com/pybuilder/pybuilder) - A continuous build tool written in pure Python.
* [PyBuilder](https://github.com/pybuilder/pybuilder) - A continuous build tool written in pure Python.
* [SCons](http://www.scons.org/) - A software construction tool.
## Built-in Classes Enhancement
*Libraries for enhancing Python built-in classes.*
* [dataclasses](https://docs.python.org/3/library/dataclasses.html) - (Python standard library) Data classes.
* [attrs](https://github.com/python-attrs/attrs) - Replacement for `__init__`, `__eq__`, `__repr__`, etc. boilerplate in class definitions.
* [bidict](https://github.com/jab/bidict) - Efficient, Pythonic bidirectional map data structures and related functionality..
* [Box](https://github.com/cdgriffith/Box) - Python dictionaries with advanced dot notation access.
* [DottedDict](https://github.com/carlosescri/DottedDict) - A library that provides a method of accessing lists and dicts with a dotted path notation.
* [dotted](https://github.com/carlosescri/DottedDict) - A library that provides a method of accessing lists and dicts with a dotted path notation.
## CMS
*Content Management Systems.*
* [wagtail](https://wagtail.io/) - A Django content management system.
* [django-cms](https://www.django-cms.org/en/) - An Open source enterprise CMS based on the Django.
* [feincms](https://github.com/feincms/feincms) - One of the most advanced Content Management Systems built on Django.
* [Kotti](https://github.com/Kotti/Kotti) - A high-level, Pythonic web application framework built on Pyramid.
* [mezzanine](https://github.com/stephenmcd/mezzanine) - A powerful, consistent, and flexible content management platform.
* [plone](https://plone.org/) - A CMS built on top of the open source application server Zope.
* [quokka](https://github.com/rochacbruno/quokka) - Flexible, extensible, small CMS powered by Flask and MongoDB.
* [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 WSGI middleware for sessions and caching.
* [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/en/latest/) - dogpile.cache is next generation replacement for Beaker made by same authors.
* [HermesCache](https://pypi.org/project/HermesCache/) - Python caching library with tag-based invalidation and dogpile effect prevention.
* [pylibmc](https://github.com/lericson/pylibmc) - A Python wrapper around the [libmemcached](https://libmemcached.org/libMemcached.html) interface.
* [python-diskcache](http://www.grantjenks.com/docs/diskcache/) - SQLite and file backed cache backend with faster lookups than memcached and redis.
* [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](https://github.com/errbotio/errbot/) - The easiest and most popular chatbot to implement ChatOps.
* [Errbot](http://errbot.io/en/latest/) - The easiest and most popular chatbot to implement ChatOps.
## Cluster Computing
*Frameworks and libraries for Cluster Computing.*
* [PySpark](https://pypi.python.org/pypi/pyspark/) - [Apache Spark](https://spark.apache.org/) Python API.
* [dask](https://dask.pydata.org/en/latest/) - A flexible parallel computing library for analytic computing.
* [faust](https://github.com/robinhood/faust) - A stream processing library, porting the ideas from [Kafka Streams](https://kafka.apache.org/documentation/streams/) to Python.
* [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.
* [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data via [Apache Storm](http://storm.apache.org/).
## Code Analysis
*Tools of static analysis, linters and code quality checkers. Also see [awesome-static-analysis](https://github.com/mre/awesome-static-analysis).*
*Tools of static analysis, linters and code quality checkers. See: [awesome-static-analysis](https://github.com/mre/awesome-static-analysis).*
* Code Analysis
* [coala](https://github.com/coala/coala/) - Language independent and easily extendable code analysis application.
* [flake8](https://pypi.python.org/pypi/flake8) - A wrapper around pycodestyle, pyflakes and McCabe.
* [coala](http://coala.io/) - Language independent and easily extendable code analysis application.
* [code2flow](https://github.com/scottrogowski/code2flow) - Turn your Python and JavaScript code into DOT flowcharts.
* [prospector](https://github.com/PyCQA/prospector) - A tool to analyse Python code.
* [prospector](https://github.com/landscapeio/prospector) - A tool to analyse Python code.
* [pycallgraph](https://github.com/gak/pycallgraph) - A library that visualises the flow (call graph) of your Python application.
* Code Linters
* [flake8](https://pypi.org/project/flake8/) - A wrapper around `pycodestyle`, `pyflakes` and McCabe.
* [awesome-flake8-extensions](https://github.com/DmytroLitvinov/awesome-flake8-extensions)
* [pylint](https://www.pylint.org/) - A fully customizable source code analyzer.
* [pylama](https://github.com/klen/pylama) - A code audit tool for Python and JavaScript.
* [wemake-python-styleguide](https://github.com/wemake-services/wemake-python-styleguide) - The strictest and most opinionated python linter ever.
* Code Formatters
* [black](https://github.com/python/black) - The uncompromising Python code formatter.
* [yapf](https://github.com/google/yapf) - Yet another Python code formatter from Google.
* Static Type Checkers, also see [awesome-python-typing](https://github.com/typeddjango/awesome-python-typing)
* [pylint](https://www.pylint.org/) - A fully customizable source code analyzer.
* Static Type Checkers
* [mypy](http://mypy-lang.org/) - Check variable types during compile time.
* [pyre-check](https://github.com/facebook/pyre-check) - Performant type checking.
* [Pyre](https://github.com/facebook/pyre-check) - Performant type checking.
* Static Type Annotations Generators
* [MonkeyType](https://github.com/Instagram/MonkeyType) - A system for Python that generates static type annotations by collecting runtime types
## Command-line Interface Development
## Command-line Tools
*Libraries for building command-line applications.*
*Libraries for building command-line application.*
* Command-line Application Development
* [cement](http://builtoncement.com/) - CLI Application Framework for Python.
@@ -242,76 +278,75 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [cliff](https://docs.openstack.org/developer/cliff/) - A framework for creating command-line programs with multi-level commands.
* [clint](https://github.com/kennethreitz/clint) - Python Command-line Application Tools.
* [docopt](http://docopt.org/) - Pythonic command line arguments parser.
* [python-fire](https://github.com/google/python-fire) - A library for creating command line interfaces from absolutely any Python object.
* [Gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line.
* [Python Fire](https://github.com/google/python-fire) - A library for creating command line interfaces from absolutely any Python object.
* [python-prompt-toolkit](https://github.com/jonathanslenders/python-prompt-toolkit) - A library for building powerful interactive command lines.
* Terminal Rendering
* [asciimatics](https://github.com/peterbrittain/asciimatics) - A package to create full-screen text UIs (from interactive forms to ASCII animations).
* [bashplotlib](https://github.com/glamp/bashplotlib) - Making basic plots in the terminal.
* [colorama](https://pypi.org/project/colorama/) - Cross-platform colored terminal text.
* [tqdm](https://github.com/tqdm/tqdm) - Fast, extensible progress bar for loops and CLI.
## Command-line Tools
*Useful CLI-based tools for productivity.*
* [colorama](https://pypi.python.org/pypi/colorama) - Cross-platform colored terminal text.
* Productivity Tools
* [aws-cli](https://github.com/aws/aws-cli) - A universal command-line interface for Amazon Web Services.
* [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/jakubroztocil/httpie) - A command line HTTP client, a user-friendly cURL replacement.
* [kube-shell](https://github.com/cloudnativelabs/kube-shell) - An integrated shell for working with the Kubernetes CLI.
* [mycli](https://github.com/dbcli/mycli) - A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting.
* [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.
* [tmuxp](https://github.com/tony/tmuxp) - A [tmux](https://github.com/tmux/tmux) session manager.
* [try](https://github.com/timofurrer/try) - A dead simple CLI to try out python packages - it's never been easier.
* CLI Enhancements
* [httpie](https://github.com/jakubroztocil/httpie) - A command line HTTP client, a user-friendly cURL replacement.
* [kube-shell](https://github.com/cloudnativelabs/kube-shell) - An integrated shell for working with the Kubernetes CLI.
* [mycli](https://github.com/dbcli/mycli) - A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting.
* [pgcli](https://github.com/dbcli/pgcli) - Postgres CLI with autocompletion and syntax highlighting.
* [saws](https://github.com/donnemartin/saws) - A Supercharged [aws-cli](https://github.com/aws/aws-cli).
## Compatibility
*Libraries for migrating from Python 2 to 3.*
* [python-future](http://python-future.org/index.html) - The missing compatibility layer between Python 2 and Python 3.
* [python-modernize](https://github.com/mitsuhiko/python-modernize) - Modernizes Python code for eventual Python 3 migration.
* [six](https://pypi.org/project/six/) - Python 2 and 3 compatibility utilities.
* [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](https://opencv.org/) - Open Source Computer Vision Library.
* [OpenCV](http://opencv.org/) - Open Source Computer Vision Library.
* [pyocr](https://github.com/openpaperwork/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. Also see [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio).*
*Libraries for concurrent and parallel execution.*
* [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html) - (Python standard library) A high-level interface for asynchronously executing callables.
* [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) - (Python standard library) Process-based parallelism.
* [concurrent.futures](https://docs.python.org/3/library/multiprocessing.html) - (Python standard library) Process-based "[threading](https://docs.python.org/3/library/threading.html)" interface.
* [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) - (Python standard library) A high-level interface for asynchronously executing callables.
* [eventlet](http://eventlet.net/) - Asynchronous framework with WSGI support.
* [gevent](http://www.gevent.org/) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet).
* [uvloop](https://github.com/MagicStack/uvloop) - Ultra fast implementation of `asyncio` event loop on top of `libuv`.
* [scoop](https://github.com/soravux/scoop) - Scalable Concurrent Operations in Python.
* [SCOOP](https://github.com/soravux/scoop) - Scalable Concurrent Operations in Python.
* [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.*
* [configobj](https://github.com/DiffSK/configobj) - INI file parser with validation.
* [configparser](https://docs.python.org/3/library/configparser.html) - (Python standard library) INI file parser.
* [profig](https://profig.readthedocs.io/en/default/) - Config from multiple formats with value conversion.
* [config](https://www.red-dove.com/config-doc/) - Hierarchical config from the author of [logging](https://docs.python.org/3/library/logging.html).
* [ConfigObj](http://www.voidspace.org.uk/python/configobj.html) - INI file parser with validation.
* [ConfigParser](https://docs.python.org/3/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.
* [paramiko](https://github.com/paramiko/paramiko) - The leading native Python SSHv2 protocol library.
* [passlib](https://passlib.readthedocs.io/en/stable/) - Secure password storage/hashing library, very high level.
* [pynacl](https://github.com/pyca/pynacl) - Python binding to the Networking and Cryptography (NaCl) library.
* [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://passlib.readthedocs.io/en/stable/) - Secure password storage/hashing library, very high level.
* [PyNacl](https://github.com/pyca/pynacl) - Python binding to the Networking and Cryptography (NaCl) library.
## Data Analysis
@@ -321,7 +356,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [Open Mining](https://github.com/mining/mining) - Business Intelligence (BI) in Pandas interface.
* [Orange](https://orange.biolab.si/) - Data mining, data visualization, analysis and machine learning through visual programming or scripts.
* [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
* [Optimus](https://github.com/ironmussa/Optimus) - Agile Data Science Workflows made easy with PySpark.
* [Optimus](https://github.com/ironmussa/Optimus) - Cleansing, pre-processing, feature engineering, exploratory data analysis and easy Machine Learning with a PySpark backend.
## Data Validation
@@ -329,6 +364,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [Cerberus](https://github.com/pyeve/cerberus) - A lightweight and extensible data validation library.
* [colander](https://docs.pylonsproject.org/projects/colander/en/latest/) - Validating and deserializing data obtained via XML, JSON, an HTML form post.
* [Dash](https://plot.ly/products/dash/) - Built on top of Flask, React and Plotly aimed at analytical web applications.
* [awesome-dash](https://github.com/Acrotrend/awesome-dash)
* [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.
@@ -337,17 +374,15 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
## Data Visualization
*Libraries for visualizing data. Also see [awesome-javascript](https://github.com/sorrycc/awesome-javascript#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.
* [bqplot](https://github.com/bloomberg/bqplot) - Interactive Plotting Library for the Jupyter Notebook
* [Dash](https://plot.ly/products/dash/) - Built on top of Flask, React and Plotly aimed at analytical web applications.
* [awesome-dash](https://github.com/Acrotrend/awesome-dash)
* [plotnine](https://github.com/has2k1/plotnine) - A grammar of graphics for Python based on ggplot2.
* [ggplot](https://github.com/yhat/ggpy) - 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.org/project/pygraphviz/) - Python interface to [Graphviz](http://www.graphviz.org/).
* [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.
@@ -356,9 +391,9 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Databases implemented in Python.*
* [pickleDB](https://github.com/patx/pickledb) - A simple and lightweight key-value store for Python.
* [tinydb](https://github.com/msiemens/tinydb) - A tiny, document-oriented database.
* [ZODB](https://github.com/zopefoundation/ZODB) - A native object database for Python. A key-value and object graph database.
* [pickleDB](https://pythonhosted.org/pickleDB/) - A simple and lightweight key-value store for Python.
* [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
@@ -366,23 +401,26 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* MySQL - [awesome-mysql](http://shlomi-noach.github.io/awesome-mysql/)
* [mysqlclient](https://github.com/PyMySQL/mysqlclient-python) - MySQL connector with Python 3 support ([mysql-python](https://sourceforge.net/projects/mysql-python/) fork).
* [oursql](https://pythonhosted.org/oursql/) - A better MySQL connector with support for native prepared statements and BLOBs.
* [PyMySQL](https://github.com/PyMySQL/PyMySQL) - A pure Python MySQL driver compatible to mysql-python.
* PostgreSQL - [awesome-postgres](https://github.com/dhamaniasad/awesome-postgres)
* [psycopg2](http://initd.org/psycopg/) - The most popular PostgreSQL adapter for Python.
* [queries](https://github.com/gmr/queries) - A wrapper of the psycopg2 library for interacting with PostgreSQL.
* [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-driver](https://github.com/datastax/python-driver) - The Python Driver for Apache Cassandra.
* [happybase](https://github.com/wbolster/happybase) - A developer-friendly library for Apache HBase.
* [HappyBase](https://github.com/wbolster/happybase) - A developer-friendly library for Apache HBase.
* [kafka-python](https://github.com/dpkp/kafka-python) - The Python client for Apache Kafka.
* [py2neo](https://py2neo.org/) - Python wrapper client for Neo4j's restful interface.
* [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB.
* [py2neo](http://py2neo.org/2.0/) - Python wrapper client for Neo4j's restful interface.
* [PyMongo](https://docs.mongodb.com/ecosystem/drivers/python/) - The official Python client for MongoDB.
* [redis-py](https://github.com/andymccurdy/redis-py) - The Python client for Redis.
* Asynchronous Clients
* [motor](https://github.com/mongodb/motor) - The async Python driver for MongoDB.
* [Telephus](https://github.com/driftx/Telephus) - Twisted based client for Cassandra.
* [txpostgres](https://github.com/wulczer/txpostgres) - Twisted based asynchronous driver for PostgreSQL.
* [Motor](https://github.com/mongodb/motor) - The async Python driver for MongoDB.
* [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
@@ -394,82 +432,69 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [delorean](https://github.com/myusuf3/delorean/) - A library for clearing up the inconvenient truths that arise dealing with datetimes.
* [moment](https://github.com/zachwill/moment) - A Python library for dealing with dates/times. Inspired by [Moment.js](http://momentjs.com/).
* [Pendulum](https://github.com/sdispater/pendulum) - Python datetimes made easy.
* [PyTime](https://github.com/shinux/PyTime) - An easy-to-use Python module which aims to operate date/time/datetime by string.
* [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.
* [maya](https://github.com/kennethreitz/maya) - Datetimes for Humans.
* [maya](https://github.com/kennethreitz/maya) - Datetimes for Humans, Maya is mostly built around the headaches and use-cases around parsing datetime data from websites.
## Debugging Tools
*Libraries for debugging code.*
* pdb-like Debugger
* [ipdb](https://github.com/gotcha/ipdb) - IPython-enabled [pdb](https://docs.python.org/3/library/pdb.html).
* [pdb++](https://github.com/antocuni/pdb) - Another drop-in replacement for pdb.
* [pudb](https://github.com/inducer/pudb) - A full-screen, console-based Python debugger.
* [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.
* Tracing
* [lptrace](https://github.com/khamidou/lptrace) - [strace](http://man7.org/linux/man-pages/man1/strace.1.html) for Python programs.
* [manhole](https://github.com/ionelmc/python-manhole) - Debugging UNIX socket connections and present the stacktraces for all threads and an interactive prompt.
* [pyringe](https://github.com/google/pyringe) - Debugger capable of attaching to and injecting code into Python processes.
* [python-hunter](https://github.com/ionelmc/python-hunter) - A flexible code tracing toolkit.
* Profiler
* [line_profiler](https://github.com/rkern/line_profiler) - Line-by-line profiling.
* [memory_profiler](https://github.com/fabianp/memory_profiler) - Monitor Memory usage of Python code.
* [profiling](https://github.com/what-studio/profiling) - An interactive Python profiler.
* [py-spy](https://github.com/benfred/py-spy) - A sampling profiler for Python programs. Written in Rust.
* [pyflame](https://github.com/uber/pyflame) - A ptracing profiler For Python.
* [Pyflame](https://github.com/uber/pyflame) - A ptracing profiler For Python.
* [vprof](https://github.com/nvdv/vprof) - Visual Python profiler.
* Others
* [icecream](https://github.com/gruns/icecream) - Inspect variables, expressions, and program execution with a single, simple function call.
* [IceCream](https://github.com/gruns/icecream) - Inspect variables, expressions, and program execution with a single, simple function call.
* [django-debug-toolbar](https://github.com/jazzband/django-debug-toolbar) - Display various debug information for Django.
* [django-devserver](https://github.com/dcramer/django-devserver) - A drop-in replacement for Django's runserver.
* [flask-debugtoolbar](https://github.com/mgood/flask-debugtoolbar) - A port of the django-debug-toolbar to flask.
* [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. Also see [awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-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/keras-team/keras) - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.
* [mxnet](https://github.com/dmlc/mxnet) - A deep learning framework designed for both efficiency and flexibility.
* [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
* [SerpentAI](https://github.com/SerpentAI/SerpentAI) - Game agent framework. Use any video game as a deep learning sandbox.
* [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
* [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.
* [MXNet](https://github.com/dmlc/mxnet) - A deep learning framework designed for both efficiency and flexibility.
* [Neupy](http://neupy.com/pages/home.html) - Running and testing different Artificial Neural Networks algorithms.
* [Pytorch](http://pytorch.org/) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
* [Serpent.AI](https://github.com/SerpentAI/SerpentAI) - Game agent framework. Use any video game as a deep learning sandbox.
* [TensorFlow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
* [Theano](https://github.com/Theano/Theano) - A library for fast numerical computation.
## DevOps Tools
*Software and libraries for DevOps.*
* [ansible](https://github.com/ansible/ansible) - A radically simple IT automation platform.
* [cloudinit](https://cloudinit.readthedocs.io/en/latest/) - A multi-distribution package that handles early initialization of a cloud instance.
* [Ansible](https://github.com/ansible/ansible) - A radically simple IT automation platform.
* [Cloud-Init](http://cloudinit.readthedocs.io/en/latest/) - A multi-distribution package that handles early initialization of a cloud instance.
* [cuisine](https://github.com/sebastien/cuisine) - Chef-like functionality for Fabric.
* [docker-compose](https://docs.docker.com/compose/) - Fast, isolated development environments using [Docker](https://www.docker.com/).
* [fabric](https://github.com/fabric/fabric) - A simple, Pythonic tool for remote execution and deployment.
* [fabtools](https://github.com/fabtools/fabtools) - Tools for writing awesome Fabric files.
* [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/fabtools/fabtools) - Tools for writing awesome Fabric files.
* [honcho](https://github.com/nickstenning/honcho) - A Python clone of [Foreman](https://github.com/ddollar/foreman), for managing Procfile-based applications.
* [OpenStack](https://www.openstack.org/) - Open source software for building private and public clouds.
* [pexpect](https://github.com/pexpect/pexpect) - Controlling interactive programs in a pseudo-terminal like GNU expect.
* [psutil](https://github.com/giampaolo/psutil) - A cross-platform process and system utilities module.
* [saltstack](https://github.com/saltstack/salt) - Infrastructure automation and management system.
* [SaltStack](https://github.com/saltstack/salt) - Infrastructure automation and management system.
* [supervisor](https://github.com/Supervisor/supervisor) - Supervisor process control system for UNIX.
## Distributed Computing
*Frameworks and libraries for Distributed Computing.*
* Batch Processing
* [PySpark](https://pypi.org/project/pyspark/) - [Apache Spark](https://spark.apache.org/) Python API.
* [dask](https://github.com/dask/dask) - A flexible parallel computing library for analytic computing.
* [luigi](https://github.com/spotify/luigi) - A module that helps you build complex pipelines of batch jobs.
* [mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services.
* [Ray](https://github.com/ray-project/ray/) - A system for parallel and distributed Python that unifies the machine learning ecosystem.
* Stream Processing
* [faust](https://github.com/robinhood/faust) - A stream processing library, porting the ideas from [Kafka Streams](https://kafka.apache.org/documentation/streams/) to Python.
* [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data via [Apache Storm](http://storm.apache.org/).
## Distribution
*Libraries to create packaged executables for release distribution.*
@@ -485,10 +510,11 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Libraries for generating project documentation.*
* [sphinx](https://github.com/sphinx-doc/sphinx/) - Python Documentation generator.
* [Sphinx](http://www.sphinx-doc.org/en/latest/) - Python Documentation generator.
* [awesome-sphinxdoc](https://github.com/yoloseem/awesome-sphinxdoc)
* [pdoc](https://github.com/mitmproxy/pdoc) - Epydoc replacement to auto generate API documentation for Python libraries.
* [pycco](https://github.com/pycco-docs/pycco) - The literate-programming-style documentation generator.
* [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
@@ -496,8 +522,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [s3cmd](https://github.com/s3tools/s3cmd) - A command line tool for managing Amazon S3 and CloudFront.
* [s4cmd](https://github.com/bloomreach/s4cmd) - Super S3 command line tool, good for higher performance.
* [you-get](https://you-get.org/) - A YouTube/Youku/Niconico video downloader written in Python 3.
* [youtube-dl](https://rg3.github.io/youtube-dl/) - A small command-line program to download videos from YouTube.
* [you-get](http://you-get.org/) - 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
@@ -508,7 +534,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [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.
* [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.
* [forex-python](https://github.com/MicroPyramid/forex-python) - Foreign exchange rates, Bitcoin price index and currency conversion.
* [saleor](http://getsaleor.com/) - An e-commerce storefront for Django.
@@ -517,28 +543,30 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
## Editor Plugins and IDEs
* Emacs
* [elpy](https://github.com/jorgenschaefer/elpy) - Emacs Python Development Environment.
* [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.
* [Anaconda](https://github.com/DamnWidget/anaconda) - Anaconda turns your Sublime Text 3 in a full featured Python development IDE.
* [SublimeJEDI](https://github.com/srusskih/SublimeJEDI) - A Sublime Text plugin to the awesome auto-complete library Jedi.
* Vim
* [jedi-vim](https://github.com/davidhalter/jedi-vim) - Vim bindings for the Jedi auto-completion library for Python.
* [python-mode](https://github.com/python-mode/python-mode) - An all in one plugin for turning Vim into a Python IDE.
* [Jedi-vim](https://github.com/davidhalter/jedi-vim) - Vim bindings for the Jedi auto-completion library for Python.
* [Python-mode](https://github.com/python-mode/python-mode) - An all in one plugin for turning Vim into a Python IDE.
* [YouCompleteMe](https://github.com/Valloric/YouCompleteMe) - Includes [Jedi](https://github.com/davidhalter/jedi)-based completion engine for Python.
* Visual Studio
* [PTVS](https://github.com/Microsoft/PTVS) - Python Tools for Visual Studio.
* Visual Studio Code
* [Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python) - The official VSCode extension with rich support for Python.
* [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.
* [Spyder](https://github.com/spyder-ide/spyder) - Open Source Python IDE.
## Email
*Libraries for sending and parsing email.*
* [envelopes](http://tomekwojcik.github.io/envelopes/) - Mailing for human beings.
* [flanker](https://github.com/mailgun/flanker) - An email address and Mime parsing library.
* [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.
@@ -549,12 +577,14 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
## Environment Management
*Libraries for Python version and virtual environment management.*
*Libraries for Python version and environment management.*
* [Pipenv](https://github.com/kennethreitz/pipenv) - Sacred Marriage of Pipfile, Pip, & Virtualenv.
* [p](https://github.com/qw3rtman/p) - Dead simple interactive Python version management.
* [pyenv](https://github.com/pyenv/pyenv) - Simple Python version management.
* [pipenv](https://github.com/pypa/pipenv) - Python Development Workflow for Humans.
* [poetry](https://github.com/sdispater/poetry) - Python dependency management and packaging made easy.
* [virtualenv](https://github.com/pypa/virtualenv) - A tool to create isolated Python environments.
* [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
@@ -572,7 +602,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Libraries for providing foreign function interface.*
* [cffi](https://pypi.org/project/cffi/) - Foreign Function Interface for Python calling C code.
* [cffi](https://pypi.python.org/pypi/cffi) - Foreign Function Interface for Python calling C code.
* [ctypes](https://docs.python.org/3/library/ctypes.html) - (Python standard library) Foreign Function Interface for Python calling C code.
* [PyCUDA](https://mathema.tician.de/software/pycuda/) - A Python wrapper for Nvidia's CUDA API.
* [SWIG](http://www.swig.org/Doc1.3/Python.html) - Simplified Wrapper and Interface Generator.
@@ -583,7 +613,6 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [Deform](https://github.com/Pylons/deform) - Python HTML form generation library influenced by the formish form generation library.
* [django-bootstrap3](https://github.com/dyve/django-bootstrap3) - Bootstrap 3 integration with Django.
* [django-bootstrap4](https://github.com/zostera/django-bootstrap4) - Bootstrap 4 integration with Django.
* [django-crispy-forms](https://github.com/django-crispy-forms/django-crispy-forms) - A Django app which lets you create beautiful forms in a very elegant and DRY way.
* [django-remote-forms](https://github.com/WiserTogether/django-remote-forms) - A platform independent Django form serializer.
* [WTForms](https://github.com/wtforms/wtforms) - A flexible forms validation and rendering library.
@@ -598,21 +627,20 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [funcy](https://github.com/Suor/funcy) - A fancy and practical functional tools.
* [Toolz](https://github.com/pytoolz/toolz) - A collection of functional utilities for iterators, functions, and dictionaries.
## GUI Development
## GUI
*Libraries for working with graphical user interface applications.*
* [curses](https://docs.python.org/3/library/curses.html) - Built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
* [Eel](https://github.com/ChrisKnott/Eel) - A library for making simple Electron-like offline HTML/JS GUI apps.
* [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declarative Syntax like QML.
* [Eel](https://github.com/ChrisKnott/Eel) - Little library for making simple Electron-like offline HTML/JS GUI apps, with full access to Python capabilities and libraries.
* [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.
* [Gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line.
* [kivy](https://kivy.org/) - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS.
* [pyglet](https://bitbucket.org/pyglet/pyglet/wiki/Home) - A cross-platform windowing and multimedia library for Python.
* [PyGObject](https://wiki.gnome.org/Projects/PyGObject) - Python Bindings for GLib/GObject/GIO/GTK+ (GTK+3).
* [PyQt](https://riverbankcomputing.com/software/pyqt/intro) - Python bindings for the [Qt](https://www.qt.io/) cross-platform application and UI framework.
* [PySimpleGUI](https://github.com/PySimpleGUI/PySimpleGUI) - Wrapper for tkinter, Qt, WxPython and Remi.
* [pywebview](https://github.com/r0x0r/pywebview/) - A lightweight cross-platform native wrapper around a webview component.
* [PyQt](https://riverbankcomputing.com/software/pyqt/intro) - Python bindings for the [Qt](https://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.
* [pywebview](https://github.com/r0x0r/pywebview/) - A lightweight cross-platform native wrapper around a webview component that allows to display HTML content in its own native dedicated window.
* [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.
@@ -622,20 +650,19 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Awesome game development libraries.*
* [Cocos2d](http://cocos2d.org/) - cocos2d is a framework for building 2D games, demos, and other graphical/interactive applications.
* [Harfang3D](http://www.harfang3d.com) - Python framework for 3D, VR and game development.
* [Panda3D](https://www.panda3d.org/) - 3D game engine developed by Disney.
* [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](https://pysdl2.readthedocs.io) - A ctypes based wrapper for the SDL2 library.
* [PySDL2](http://pysdl2.readthedocs.io/en/rel_0_9_5/) - A ctypes based wrapper for the SDL2 library.
* [RenPy](https://www.renpy.org/) - A Visual Novel engine.
## Geolocation
*Libraries for geocoding addresses and working with latitudes and longitudes.*
* [django-countries](https://github.com/SmileyChris/django-countries) - A Django app that provides a country field for models and forms.
* [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.
@@ -648,7 +675,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) - Providing Pythonic idioms for iterating, searching, and modifying HTML or XML.
* [bleach](https://github.com/mozilla/bleach) - A whitelist-based HTML sanitization and text linkification library.
* [cssutils](https://pypi.org/project/cssutils/) - A CSS library for Python.
* [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.
@@ -658,13 +685,13 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [xmldataset](https://xmldataset.readthedocs.io/en/latest/) - Simple XML Parsing.
* [xmltodict](https://github.com/martinblech/xmltodict) - Working with XML feel like you are working with JSON.
## HTTP Clients
## HTTP
*Libraries for working with HTTP.*
* [grequests](https://github.com/kennethreitz/grequests) - requests + gevent for asynchronous HTTP requests.
* [httplib2](https://github.com/httplib2/httplib2) - Comprehensive HTTP client library.
* [requests](https://requests.kennethreitz.org/en/master/) - HTTP Requests for Humans™.
* [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.
@@ -701,19 +728,20 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Implementations of Python.*
* [CPython](https://github.com/python/cpython) - **Default, most widely used implementation of the Python programming language written in C.**
* [Cython](http://cython.org/) - Optimizing Static Compiler for Python.
* [CLPython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp.
* [CPython](https://github.com/python/cpython) - **Default, most widely used implementation of the Python programming language written in C.**
* [Cython](http://cython.org/) - Optimizing Static Compiler for Python. Uses type mixins to compile Python into C or C++ modules resulting in large performance gains
* [Grumpy](https://github.com/google/grumpy) - More compiler than interpreter as more powerful CPython2.7 replacement (alpha).
* [IronPython](https://github.com/IronLanguages/ironpython3) - Implementation of the Python programming language written in C#.
* [Jython](https://hg.python.org/jython) - Implementation of Python programming language written in Java for the JVM.
* [MicroPython](https://github.com/micropython/micropython) - A lean and efficient Python programming language implementation.
* [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
* [Numba](http://numba.pydata.org/) - Python JIT compiler to LLVM aimed at scientific Python.
* [PeachPy](https://github.com/Maratyszcza/PeachPy) - x86-64 assembler embedded in Python.
* [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.
* [Pyjion](https://github.com/Microsoft/Pyjion) - A JIT for Python based upon CoreCLR.
* [PyPy](https://bitbucket.org/pypy/pypy) - A very fast and compliant implementation of the Python language.
* [Pyston](https://github.com/dropbox/pyston) - A Python implementation using JIT techniques.
* [Stackless Python](https://github.com/stackless-dev/stackless) - An enhanced version of the Python programming language.
* [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. The interpreter uses black magic to make Python very fast without having to add in additional type information.
* [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.
* [Pyston](https://github.com/dropbox/pyston) - A Python implementation built using LLVM and modern JIT techniques with the goal of achieving good performance.
* [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
@@ -739,12 +767,11 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [django-schedule](https://github.com/thauber/django-schedule) - A calendaring app for Django.
* [doit](http://pydoit.org/) - A task runner and build tool.
* [gunnery](https://github.com/gunnery/gunnery) - Multipurpose task execution tool for distributed systems with web-based interface.
* [Joblib](https://joblib.readthedocs.io/) - A set of tools to provide lightweight pipelining in Python.
* [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](https://docs.openstack.org/developer/taskflow/) - A Python library that helps to make task execution easy, consistent and reliable.
* [Airflow](https://airflow.apache.org/) - Airflow is a platform to programmatically author, schedule and monitor workflows.
## Logging
@@ -757,7 +784,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
## Machine Learning
*Libraries for Machine Learning. Also see [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning#python).*
*Libraries for Machine Learning. See: [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning#python).*
* [H2O](https://github.com/h2oai/h2o-3) - Open Source Fast Scalable Machine Learning Platform.
* [Metrics](https://github.com/benhamner/Metrics) - Machine learning evaluation metrics.
@@ -782,37 +809,35 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Useful libraries or tools that don't fit in the categories above.*
* [blinker](https://github.com/jek/blinker) - A fast Python in-process signal/event dispatching system.
* [boltons](https://github.com/mahmoud/boltons) - A set of pure-Python utilities.
* [itsdangerous](https://github.com/pallets/itsdangerous) - Various helpers to pass trusted data to untrusted environments.
* [pluginbase](https://github.com/mitsuhiko/pluginbase) - A simple but flexible plugin system for Python.
* [tryton](http://www.tryton.org/) - A general purpose business framework.
* [Pychievements](https://github.com/PacketPerception/pychievements) - A framework for creating and tracking achievements.
* [Tryton](http://www.tryton.org/) - A general purpose business framework.
* [discord.py](https://github.com/Rapptz/discord.py) - Discord API wrapper.
## Natural Language Processing
*Libraries for working with human languages.*
- General
* [gensim](https://github.com/RaRe-Technologies/gensim) - Topic Modeling for Humans.
* [langid.py](https://github.com/saffsd/langid.py) - Stand-alone language identification system.
* [nltk](http://www.nltk.org/) - A leading platform for building Python programs to work with human language data.
* [pattern](https://github.com/clips/pattern) - A web mining module for the Python.
* [polyglot](https://github.com/aboSamoor/polyglot) - Natural language pipeline supporting hundreds of languages.
* [pytext](https://github.com/facebookresearch/pytext) - A natural language modeling framework based on PyTorch.
* [PyTorch-NLP](https://github.com/PetrochukM/PyTorch-NLP) - A toolkit enabling rapid deep learning NLP prototyping for research.
* [spacy](https://spacy.io/) - A library for industrial-strength natural language processing in Python and Cython.
* [stanfordnlp](https://github.com/stanfordnlp/stanfordnlp) - The Stanford NLP Group's official Python library, supporting 50+ languages.
- Chinese
* [jieba](https://github.com/fxsjy/jieba) - The most popular Chinese text segmentation library.
* [pkuseg-python](https://github.com/lancopku/pkuseg-python) - A toolkit for Chinese word segmentation in various domains.
* [snownlp](https://github.com/isnowfy/snownlp) - A library for processing Chinese text.
* [funNLP](https://github.com/fighting41love/funNLP) - A collection of tools and datasets for Chinese NLP.
* [gensim](https://github.com/RaRe-Technologies/gensim) - Topic Modelling for Humans.
* [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.
* [polyglot](https://github.com/aboSamoor/polyglot) - Natural language pipeline supporting hundreds of languages.
* [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.
* [PyTorch-NLP](https://github.com/PetrochukM/PyTorch-NLP) - A toolkit enabling rapid deep learning NLP prototyping for research.
## Network Virtualization
*Tools and libraries for Virtual Networking and SDN (Software Defined Networking).*
* [mininet](https://github.com/mininet/mininet) - A popular network emulator and API written in Python.
* [pox](https://github.com/noxrepo/pox) - A Python-based SDN control applications, such as OpenFlow SDN controllers.
* [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
@@ -820,17 +845,19 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [asyncio](https://docs.python.org/3/library/asyncio.html) - (Python standard library) Asynchronous I/O, event loop, coroutines and tasks.
- [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio)
* [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](https://github.com/zeromq/pyzmq) - A Python wrapper for the ZeroMQ message library.
* [pyzmq](http://zeromq.github.io/pyzmq/) - A Python wrapper for the ZeroMQ message library.
* [Twisted](https://twistedmatrix.com/trac/) - An event-driven networking engine.
* [napalm](https://github.com/napalm-automation/napalm) - Cross-vendor API to manipulate network devices.
* [txZMQ](https://github.com/smira/txZMQ) - Twisted based wrapper for the ZeroMQ message library.
* [NAPALM](https://github.com/napalm-automation/napalm) - Cross-vendor API to manipulate network devices.
## News Feed
*Libraries for building user's activities.*
* [django-activity-stream](https://github.com/justquick/django-activity-stream) - Generating generic activity streams from the actions on your site.
* [Stream Framework](https://github.com/tschellenbach/Stream-Framework) - Building news feed and notification systems using Cassandra and Redis.
* [Stream-Framework](https://github.com/tschellenbach/Stream-Framework) - Building newsfeed and notification systems using Cassandra and Redis.
## ORM
@@ -838,41 +865,56 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* Relational Databases
* [Django Models](https://docs.djangoproject.com/en/dev/topics/db/models/) - A part of Django.
* [SQLAlchemy](https://www.sqlalchemy.org/) - The Python SQL Toolkit and Object Relational Mapper.
* [SQLAlchemy](http://www.sqlalchemy.org/) - The Python SQL Toolkit and Object Relational Mapper.
* [awesome-sqlalchemy](https://github.com/dahlia/awesome-sqlalchemy)
* [dataset](https://github.com/pudo/dataset) - Store Python dicts in a database - works with SQLite, MySQL, and PostgreSQL.
* [orator](https://github.com/sdispater/orator) - The Orator ORM provides a simple yet beautiful ActiveRecord implementation.
* [peewee](https://github.com/coleifer/peewee) - A small, expressive ORM.
* [pony](https://github.com/ponyorm/pony/) - ORM that provides a generator-oriented interface to SQL.
* [pydal](https://github.com/web2py/pydal/) - A pure Python Database Abstraction Layer.
* [Orator](https://orator-orm.com) - The Orator ORM provides a simple yet beautiful ActiveRecord implementation.
* [Peewee](https://github.com/coleifer/peewee) - A small, expressive ORM.
* [PonyORM](https://ponyorm.com/) - ORM that provides a generator-oriented interface to SQL.
* [pyDAL](https://github.com/web2py/pydal/) - A pure Python Database Abstraction Layer.
* [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/stevearc/flywheel) - Object mapper for Amazon DynamoDB.
* [hot-redis](https://github.com/stephenmcd/hot-redis) - Rich Python data types for Redis.
* [mongoengine](https://github.com/MongoEngine/mongoengine) - A Python Object-Document-Mapper for working with MongoDB.
* [MongoEngine](http://mongoengine.org/) - A Python Object-Document-Mapper for working with MongoDB.
* [PynamoDB](https://github.com/pynamodb/PynamoDB) - A Pythonic interface for [Amazon DynamoDB](https://aws.amazon.com/dynamodb/).
* [redisco](https://github.com/kiddouk/redisco) - A Python Library for Simple Models and Containers Persisted in Redis.
* Others
* [butterdb](https://github.com/terrible-ideas/butterdb) - A Python ORM for Google Drive Spreadsheets.
* [dataset](https://github.com/pudo/dataset) - A JSON-based database.
## OSINT Tools
*Libraries for OSINT, Open Source Intelligence, related tools.*
* [phoneinfoga](https://github.com/sundowndev/PhoneInfoga) - Advanced information gathering & OSINT tool for phone numbers.
## Package Management
*Libraries for package and dependency management.*
* [pip](https://pip.pypa.io/en/stable/) - The Python package and dependency manager.
* [PyPI](https://pypi.org/)
* [pip-tools](https://github.com/jazzband/pip-tools) - A set of tools to keep your pinned Python dependencies fresh.
* [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/jazzband/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).
* [bandersnatch](https://github.com/pypa/bandersnatch/) - PyPI mirroring tool provided by Python Packaging Authority (PyPA).
* [devpi](https://github.com/devpi/devpi) - PyPI server and packaging/testing/release tool.
* [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/jazzband/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.
@@ -881,7 +923,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Libraries for starting and communicating with OS processes.*
* [delegator.py](https://github.com/kennethreitz/delegator.py) - [Subprocesses](https://docs.python.org/3.6/library/subprocess.html) for Humans™ 2.0.
* [sarge](https://sarge.readthedocs.io/en/latest/) - Yet another wrapper for subprocess.
* [sarge](http://sarge.readthedocs.io/en/latest/) - Yet another wrapper for subprocess.
* [sh](https://github.com/amoffat/sh) - A full-fledged subprocess replacement for Python.
## Queue
@@ -891,7 +933,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [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](https://github.com/rq/rq) - Simple job queues for Python.
* [rq](http://python-rq.org/) - Simple job queues for Python.
* [simpleq](https://github.com/rdegges/simpleq) - A simple, infinitely scalable, Amazon SQS based queue.
## Recommender Systems
@@ -901,10 +944,10 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [fastFM](https://github.com/ibayer/fastFM) - A library for Factorization Machines.
* [implicit](https://github.com/benfred/implicit) - A fast Python implementation of collaborative filtering for implicit datasets.
* [libffm](https://github.com/guestwalk/libffm) - A library for Field-aware Factorization Machine (FFM).
* [lightfm](https://github.com/lyst/lightfm) - A Python implementation of a number of popular recommendation algorithms.
* [spotlight](https://github.com/maciejkula/spotlight) - Deep recommender models using PyTorch.
* [Surprise](https://github.com/NicolasHug/Surprise) - A scikit for building and analyzing recommender systems.
* [tensorrec](https://github.com/jfkirk/tensorrec) - A Recommendation Engine Framework in TensorFlow.
* [LightFM](https://github.com/lyst/lightfm) - A Python implementation of a number of popular recommendation algorithms.
* [Spotlight](https://github.com/maciejkula/spotlight) - Deep recommender models using PyTorch.
* [surprise](http://surpriselib.com) - A scikit for building and analyzing recommender systems.
* [TensorRec](https://github.com/jfkirk/tensorrec) - A Recommendation Engine Framework in TensorFlow.
## RESTful API
@@ -922,19 +965,12 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* Pyramid
* [cornice](https://github.com/Cornices/cornice) - A RESTful framework for Pyramid.
* Framework agnostic
* [apistar](https://github.com/encode/apistar) - A smart Web API framework, designed for Python 3.
* [falcon](http://falconframework.org/) - A high-performance framework for building cloud APIs and web app backends.
* [hug](https://github.com/timothycrosley/hug) - A Python 3 framework for cleanly exposing APIs.
* [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.
## Robotics
*Libraries for robotics.*
* [PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics) - This is a compilation of various robotics algorithms with visualizations.
* [rospy](http://wiki.ros.org/rospy) - This is a library for ROS (Robot Operating System).
* [apistar](https://github.com/encode/apistar) - A smart Web API framework, designed for Python 3.
## RPC Servers
@@ -946,14 +982,14 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
## Science
*Libraries for scientific computing. Also see [Python-for-Scientists](https://github.com/TomNicholas/Python-for-Scientists)*
*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.
* [Colour](http://colour-science.org/) - Implementing a comprehensive number of colour theory transformations and algorithms.
* [Colour](http://colour-science.org/) - A colour science package implementing a comprehensive number of colour theory transformations and algorithms.
* [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks.
* [NIPY](http://nipy.org) - A collection of neuroimaging toolkits.
* [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python.
@@ -973,24 +1009,25 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Libraries and software for indexing and performing search queries on data.*
* [elasticsearch-py](https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/index.html) - The official low-level Python client for [Elasticsearch](https://www.elastic.co/products/elasticsearch).
* [elasticsearch-dsl-py](https://github.com/elastic/elasticsearch-dsl-py) - The official high-level Python client for Elasticsearch.
* [django-haystack](https://github.com/django-haystack/django-haystack) - Modular search for Django.
* [pysolr](https://github.com/django-haystack/pysolr) - A lightweight Python wrapper for [Apache Solr](https://lucene.apache.org/solr/).
* [whoosh](http://whoosh.readthedocs.io/en/latest/) - A fast, pure Python search engine library.
* [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/seek-ai/esengine) - ElasticSearch ODM (Object Document Mapper) for Python.
* [pysolr](https://github.com/django-haystack/pysolr) - A lightweight Python wrapper for Apache Solr (incl. SolrCloud awareness).
* [solrpy](https://github.com/edsu/solrpy) - A Python client for [solr](http://lucene.apache.org/solr/).
* [Whoosh](http://whoosh.readthedocs.io/en/latest/) - A fast, pure Python search engine library.
## Serialization
*Libraries for serializing complex data types*
* [marshmallow](https://github.com/marshmallow-code/marshmallow) - A lightweight library for converting complex objects to and from simple Python datatypes.
* [pysimdjson](https://github.com/TkTech/pysimdjson) - A Python bindings for [simdjson](https://github.com/lemire/simdjson).
* [python-rapidjson](https://github.com/python-rapidjson/python-rapidjson) - A Python wrapper around [RapidJSON](https://github.com/Tencent/rapidjson).
* [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.
@@ -1001,18 +1038,20 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* General
* [tablib](https://github.com/kennethreitz/tablib) - A module for Tabular Datasets in XLS, CSV, JSON, YAML.
* Office
* [openpyxl](https://openpyxl.readthedocs.io/en/stable/) - A library for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files.
* [Marmir](https://github.com/brianray/mm) - Takes Python data structures and turns them into spreadsheets.
* [openpyxl](https://openpyxl.readthedocs.io/en/default/) - A library for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files.
* [pyexcel](https://github.com/pyexcel/pyexcel) - Providing one API for reading, manipulating and writing csv, ods, xls, xlsx and xlsm files.
* [python-docx](https://github.com/python-openxml/python-docx) - Reads, queries and modifies Microsoft Word 2007/2008 docx files.
* [python-pptx](https://github.com/scanny/python-pptx) - Python library for creating and updating PowerPoint (.pptx) files.
* [unoconv](https://github.com/unoconv/unoconv) - Convert between any document format supported by LibreOffice/OpenOffice.
* [XlsxWriter](https://github.com/jmcnamara/XlsxWriter) - A Python module for creating Excel .xlsx files.
* [xlwings](https://github.com/ZoomerAnalytics/xlwings) - A BSD-licensed library that makes it easy to call Python from Excel and vice versa.
* [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](https://www.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](https://www.reportlab.com/opensource/) - Allowing Rapid creation of rich PDF documents.
* [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.
@@ -1027,23 +1066,25 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Static site generator is a software that takes some text + templates as input and produces HTML files on the output.*
* [mkdocs](https://github.com/mkdocs/mkdocs/) - Markdown friendly documentation generator.
* [pelican](https://github.com/getpelican/pelican) - Static site generator that supports Markdown and reST syntax.
* [lektor](https://github.com/lektor/lektor) - An easy to use static CMS and blog engine.
* [nikola](https://github.com/getnikola/nikola) - A static website and blog generator.
* [Cactus](https://github.com/eudicots/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](https://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/jazzband/django-taggit) - Simple tagging for Django.
* [django-taggit](https://github.com/alex/django-taggit) - Simple tagging for Django.
## Template Engine
*Libraries and tools for templating and lexing.*
* [Jinja2](https://github.com/pallets/jinja) - A modern and designer friendly templating language.
* [Genshi](https://genshi.edgewall.org/) - Python templating toolkit for generation of web-aware output.
* [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
@@ -1051,28 +1092,29 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*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](https://docs.pytest.org/en/latest/) - A mature full-featured Python testing tool.
* [hypothesis](https://github.com/HypothesisWorks/hypothesis) - Hypothesis is an advanced Quickcheck style property based testing library.
* [nose2](https://github.com/nose-devs/nose2) - The successor to `nose`, based on `unittest2.
* [Robot Framework](https://github.com/robotframework/robotframework) - A generic test automation framework.
* [unittest](https://docs.python.org/3/library/unittest.html) - (Python standard library) Unit testing framework.
* Test Runners
* [green](https://github.com/CleanCut/green) - A clean, colorful test runner.
* [mamba](http://nestorsalceda.github.io/mamba/) - The definitive testing tool for Python. Born under the banner of BDD.
* [tox](https://tox.readthedocs.io/en/latest/) - Auto builds and tests distributions in multiple Python versions
* GUI / Web Testing
* [locust](https://github.com/locustio/locust) - Scalable user load testing tool written in Python.
* [PyAutoGUI](https://github.com/asweigart/pyautogui) - PyAutoGUI is a cross-platform GUI automation Python module for human beings.
* [Selenium](https://pypi.org/project/selenium/) - Python bindings for [Selenium](http://www.seleniumhq.org/) WebDriver.
* [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
* [mock](https://docs.python.org/3/library/unittest.mock.html) - (Python standard library) A mocking and patching library.
* [doublex](https://pypi.org/project/doublex/) - Powerful test doubles framework for Python.
* [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.
* [mocket](https://github.com/mindflayer/python-mocket) - A socket mock framework with gevent/asyncio/SSL support.
* [mock](https://docs.python.org/3/library/unittest.mock.html) - (Python standard library) A mocking and patching library.
* [Mocket](https://github.com/mindflayer/python-mocket) - Socket Mock Framework plus HTTP[S]/asyncio/gevent mocking library with recording/replaying capability.
* [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
@@ -1080,12 +1122,14 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [mixer](https://github.com/klen/mixer) - Another fixtures replacement. Supported Django, Flask, SQLAlchemy, Peewee and etc.
* [model_mommy](https://github.com/vandersonmota/model_mommy) - Creating random fixtures for testing in Django.
* Code Coverage
* [coverage](https://pypi.org/project/coverage/) - Code coverage measurement.
* [coverage](https://pypi.python.org/pypi/coverage) - Code coverage measurement.
* Fake Data
* [mimesis](https://github.com/lk-geimfari/mimesis) - is a Python library that help you generate fake data.
* [fake2db](https://github.com/emirozer/fake2db) - Fake database generator.
* [faker](https://github.com/joke2k/faker) - A Python package that generates fake data.
* [radar](https://pypi.org/project/radar/) - Generate random datetime / time.
* [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
@@ -1097,35 +1141,37 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [ftfy](https://github.com/LuminosoInsight/python-ftfy) - Makes Unicode text less broken and more consistent automagically.
* [fuzzywuzzy](https://github.com/seatgeek/fuzzywuzzy) - Fuzzy String Matching.
* [Levenshtein](https://github.com/ztane/python-Levenshtein/) - Fast computation of Levenshtein distance and string similarity.
* [pangu.py](https://github.com/vinta/pangu.py) - Paranoid text spacing.
* [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.
* [pypinyin](https://github.com/mozillazg/python-pinyin) - Convert Chinese hanzi (漢字) to pinyin (拼音).
* [textdistance](https://github.com/orsinium/textdistance) - Compute distance between sequences with 30+ algorithms.
* [unidecode](https://pypi.org/project/Unidecode/) - ASCII transliterations of Unicode text.
* [pypinyin](https://github.com/mozillazg/python-pinyin) - Convert Chinese hanzi to pinyin.
* [shortuuid](https://github.com/skorokithakis/shortuuid) - A generator library for concise, unambiguous and URL-safe UUIDs.
* [textdistance](https://github.com/orsinium/textdistance) - Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
* [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.
* Unique identifiers
* [hashids](https://github.com/davidaurelio/hashids-python) - Implementation of [hashids](http://hashids.org) in Python.
* [shortuuid](https://github.com/skorokithakis/shortuuid) - A generator library for concise, unambiguous and URL-safe UUIDs.
* Parser
* [ply](https://github.com/dabeaz/ply) - Implementation of lex and yacc parsing tools for Python.
* [pygments](http://pygments.org/) - A generic syntax highlighter.
* [pyparsing](https://github.com/pyparsing/pyparsing) - A general purpose framework for generating parsers.
* [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-phonenumbers](https://github.com/daviddrysdale/python-phonenumbers) - Parsing, formatting, storing and validating international phone numbers.
* [python-user-agents](https://github.com/selwin/python-user-agents) - Browser user agent parser.
* [sqlparse](https://github.com/andialbrecht/sqlparse) - A non-validating SQL parser.
## Third-party APIs
*Libraries for accessing third party services APIs. Also see [List of Python API Wrappers and Libraries](https://github.com/realpython/list-of-python-api-wrappers).*
*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/istrategylabs/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.
@@ -1137,85 +1183,81 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [furl](https://github.com/gruns/furl) - A small Python library that makes parsing and manipulating URLs easy.
* [purl](https://github.com/codeinthehole/purl) - A simple, immutable URL class with a clean API for interrogation and manipulation.
* [pyshorteners](https://github.com/ellisonleao/pyshorteners) - A pure Python URL shortening lib.
* [webargs](https://github.com/marshmallow-code/webargs) - A friendly library for parsing HTTP request arguments with built-in support for popular web frameworks.
* [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](https://zulko.github.io/moviepy/) - A module for script-based movie editing with many formats, including animated 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://github.com/jonashaag/bjoern) - Asynchronous, very fast and written in C.
* [gunicorn](https://github.com/benoitc/gunicorn) - Pre-forked, partly written in C.
* [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.
* [rocket](https://pypi.python.org/pypi/rocket) - Multi-threaded.
* [uWSGI](https://uwsgi-docs.readthedocs.io/en/latest/) - A project aims at developing a full stack for building hosting services, written in C.
* [waitress](https://github.com/Pylons/waitress) - Multi-threaded, powers Pyramid.
* [werkzeug](https://github.com/pallets/werkzeug) - A WSGI utility library for Python that powers Flask and can easily be embedded into your own projects.
## Web Asset Management
*Tools for managing, compressing and minifying website assets.*
* [django-compressor](https://github.com/django-compressor/django-compressor) - Compresses linked and inline JavaScript or CSS into a single cached file.
* [django-pipeline](https://github.com/jazzband/django-pipeline) - An asset packaging library for Django.
* [django-storages](https://github.com/jschneier/django-storages) - A collection of custom storage back ends for Django.
* [fanstatic](http://www.fanstatic.org/en/latest/) - Packages, optimizes, and serves static file dependencies as Python packages.
* [fileconveyor](http://wimleers.com/fileconveyor) - A daemon to detect and sync files to CDNs, S3 and FTP.
* [flask-assets](https://github.com/miracle2k/flask-assets) - Helps you integrate webassets into your Flask app.
* [webassets](https://github.com/miracle2k/webassets) - Bundles, optimizes, and manages unique cache-busting URLs for static resources.
* [waitress](https://waitress.readthedocs.io/en/latest/) - 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.
* [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.
* [requests-html](https://github.com/kennethreitz/requests-html) - Pythonic HTML Parsing for Humans.
* [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.
* [toapi](https://github.com/gaojiuli/toapi) - Every web site provides APIs.
## Web Crawling
## Web Crawling & Web Scraping
*Libraries to automate web scraping.*
*Libraries to automate data extraction from websites.*
* [cola](https://github.com/chineking/cola) - A distributed crawling framework.
* [feedparser](https://pythonhosted.org/feedparser/) - Universal feed parser.
* [grab](https://github.com/lorien/grab) - Site scraping framework.
* [MechanicalSoup](https://github.com/MechanicalSoup/MechanicalSoup) - A Python library for automating interaction with websites.
* [pyspider](https://github.com/binux/pyspider) - A powerful spider system.
* [robobrowser](https://github.com/jmcarp/robobrowser) - A simple, Pythonic library for browsing the web without a standalone web browser.
* [scrapy](https://scrapy.org/) - A fast high-level screen scraping and web crawling framework.
* [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](https://scrapy.org/) - A fast high-level screen scraping and web crawling framework.
## Web Frameworks
*Full stack web frameworks.*
* [Django](https://www.djangoproject.com/) - The most popular web framework in Python.
* [awesome-django](https://github.com/shahraizali/awesome-django)
* [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)
* [Masonite](https://github.com/MasoniteFramework/masonite) - The modern and developer centric Python web framework.
* [Pyramid](https://pylonsproject.org/) - A small, fast, down-to-earth, open source Python web framework.
* [awesome-pyramid](https://github.com/uralbash/awesome-pyramid)
* [Sanic](https://github.com/channelcat/sanic) - Web server that's written to go fast.
* [Vibora](https://vibora.io/) - Fast, efficient and asynchronous Web framework inspired by Flask.
* [Tornado](http://www.tornadoweb.org/en/latest/) - A Web framework and asynchronous networking library.
* [Vibora](https://vibora.io/) - Fast, efficient and asynchronous Web framework inspired by Flask.
## WebSocket
*Libraries for working with WebSocket.*
* [autobahn-python](https://github.com/crossbario/autobahn-python) - WebSocket & WAMP for Python on Twisted and [asyncio](https://docs.python.org/3/library/asyncio.html).
* [crossbar](https://github.com/crossbario/crossbar/) - Open-source Unified Application Router (Websocket & WAMP for Python on Autobahn).
* [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-channels](https://github.com/django/channels) - Developer-friendly asynchrony for Django.
* [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.
@@ -1226,9 +1268,9 @@ Online tools and APIs to simplify development.
## Continuous Integration
*Also see [awesome-CIandCD](https://github.com/ciandcd/awesome-ciandcd#online-build-system).*
*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.
* [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://www.wercker.com/) - A Docker-based platform for building and deploying applications and microservices.
@@ -1239,7 +1281,6 @@ Online tools and APIs to simplify development.
* [Codecov](https://codecov.io/) - Code coverage dashboard.
* [CodeFactor](https://www.codefactor.io/) - Automated Code Review for Git.
* [Landscape](https://landscape.io/) - Hosted continuous Python code metrics.
* [PEP 8 Speaks](https://pep8speaks.com/) - GitHub integration to review code style.
# Resources
@@ -1253,7 +1294,6 @@ Where to discover new Python libraries.
* [Python Testing](http://pythontesting.net)
* [Radio Free Python](http://radiofreepython.com/)
* [Talk Python To Me](https://talkpython.fm/)
* [Test and Code](https://testandcode.com/)
## Twitter
@@ -1275,12 +1315,13 @@ Where to discover new Python libraries.
* [Awesome Python @LibHunt](https://python.libhunt.com/)
* [Django Packages](https://djangopackages.org/)
* [Full Stack Python](https://www.fullstackpython.com/)
* [Python Cheatsheet](https://www.pythoncheatsheet.org/)
* [PyPI Ranking](http://pypi-ranking.info/alltime)
* [Python 3 Wall of Superpowers](http://python3wos.appspot.com/)
* [Python Hackers](http://www.oss.io/open-source/)
* [Python ZEEF](https://python.zeef.com/alan.richmond)
* [Python 开发社区](https://www.ctolib.com/python/)
* [Real Python](https://realpython.com)
* [Trending Python repositories on GitHub today](https://github.com/trending?l=python)
* [Сообщество Python Программистов](https://python-scripts.com/)
## Weekly
@@ -1290,6 +1331,22 @@ Where to discover new Python libraries.
* [Python Weekly](http://www.pythonweekly.com/)
* [Python Tricks](https://realpython.com/python-tricks/)
# Other Awesome Lists
List of lists.
* Monty
* [awesome](https://github.com/sindresorhus/awesome)
* [awesomo](https://github.com/lk-geimfari/awesomo)
* [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)
* [Python Podcasts](https://www.cybrhome.com/topic/python-podcasts)
* [Python for Social Good](https://github.com/metakermit/awesome-python-for-social-good)
# 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.
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Reference: OpenAPITools/openapi-generator!807
Source branch: github/fork/TechnicSparks/master

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