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vinta logoawesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

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Top Related Projects

323,302

😎 Awesome lists about all kinds of interesting topics

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Curated list of project-based tutorials

:books: Freely available programming books

A complete computer science study plan to become a software engineer.

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

Quick Overview

Awesome Python is a curated list of Python frameworks, libraries, software, and resources. It serves as a comprehensive collection of high-quality Python tools and resources, organized by categories such as Web Development, Data Visualization, Machine Learning, and more. The project aims to help developers discover and explore the best Python libraries and tools available.

Pros

  • Extensive collection of Python resources in one place
  • Well-organized and categorized for easy navigation
  • Regularly updated with new and relevant content
  • Community-driven with contributions from many developers

Cons

  • Can be overwhelming due to the sheer number of resources listed
  • Requires manual curation and maintenance to keep up-to-date
  • May include some outdated or less popular libraries alongside more current ones
  • Lacks detailed descriptions or comparisons between similar tools

Getting Started

To use the Awesome Python list:

  1. Visit the GitHub repository: https://github.com/vinta/awesome-python
  2. Browse through the categories to find resources you're interested in
  3. Click on the links to explore specific libraries or tools
  4. Star the repository to keep it handy for future reference
  5. Consider contributing by submitting a pull request if you know of a great Python resource that's not listed

Note: This is not a code library, so there are no code examples or installation instructions. The Awesome Python list is a curated collection of resources, meant to be browsed and explored directly on GitHub or in your preferred Markdown viewer.

Competitor Comparisons

323,302

😎 Awesome lists about all kinds of interesting topics

Pros of awesome

  • Broader scope, covering multiple programming languages and technologies
  • Larger community with more contributors and frequent updates
  • More comprehensive categorization and organization of resources

Cons of awesome

  • Less focused, potentially overwhelming for users seeking Python-specific resources
  • May include outdated or less relevant links due to its vast scope
  • Requires more navigation to find Python-specific content

Code comparison

Not applicable, as both repositories are curated lists of resources and don't contain significant code samples.

Summary

awesome-python is a specialized repository focusing exclusively on Python resources, making it ideal for Python developers seeking curated content. It offers a more targeted experience with a deeper dive into Python-specific tools, libraries, and frameworks.

awesome, on the other hand, is a more extensive collection covering various programming languages and technologies. It provides a broader perspective and can be valuable for developers working with multiple languages or exploring different areas of software development.

The choice between the two repositories depends on the user's specific needs. For Python-centric development, awesome-python offers a more focused and relevant selection. For those interested in a wider range of technologies or looking for inspiration across different domains, awesome provides a more comprehensive resource.

Both repositories are well-maintained and offer valuable curated lists for developers, with the main difference being their scope and focus.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Pros of system-design-primer

  • Focuses on system design concepts and principles, providing a comprehensive guide for software engineers
  • Includes visual aids, diagrams, and real-world examples to illustrate complex system design concepts
  • Offers a structured learning path with exercises and interview preparation materials

Cons of system-design-primer

  • Limited to system design topics, lacking the breadth of Python-specific resources found in awesome-python
  • May require more time investment to fully grasp the concepts compared to the quick reference style of awesome-python
  • Less frequently updated compared to awesome-python, which is continuously maintained with new Python resources

Code Comparison

While both repositories primarily focus on documentation and resources rather than code, system-design-primer does include some code examples to illustrate certain concepts:

system-design-primer:

class LRUCache:
    def __init__(self, max_size):
        self.max_size = max_size
        self.cache = {}
        self.next = {}
        self.prev = {}
        self.head = None
        self.tail = None

awesome-python doesn't typically include code snippets, as it's primarily a curated list of Python resources and libraries.

Curated list of project-based tutorials

Pros of project-based-learning

  • Focuses on hands-on learning through complete projects
  • Covers a wide range of programming languages and technologies
  • Organizes resources by difficulty level (beginner, intermediate, advanced)

Cons of project-based-learning

  • Less comprehensive in Python-specific resources
  • May not be as frequently updated as awesome-python
  • Lacks categorization by specific topics or libraries within each language

Code comparison

Not applicable for these repositories, as they are curated lists of resources rather than code repositories.

Summary

awesome-python is a comprehensive collection of Python libraries, tools, and resources, organized by categories such as web development, data visualization, and machine learning. It's an excellent reference for Python developers looking for specific tools or libraries.

project-based-learning, on the other hand, offers a broader range of programming languages and technologies, focusing on complete project tutorials. It's ideal for learners who prefer hands-on experience and want to build practical applications across various domains.

Both repositories serve different purposes and can be valuable resources for developers, depending on their learning style and specific needs. awesome-python is more suitable for those seeking Python-specific tools and libraries, while project-based-learning caters to learners interested in building complete projects across multiple languages and technologies.

:books: Freely available programming books

Pros of free-programming-books

  • Broader scope, covering multiple programming languages and topics
  • Focuses on free educational resources, including books, courses, and tutorials
  • Regularly updated with community contributions

Cons of free-programming-books

  • Less curated and organized compared to awesome-python
  • May include outdated resources due to its extensive collection
  • Lacks specific focus on Python ecosystem and tools

Code comparison

Not applicable for these repositories, as they are curated lists of resources rather than code-based projects.

Summary

free-programming-books is a comprehensive collection of free programming resources across various languages and topics, making it an excellent starting point for learners exploring different areas of software development. However, its broad scope can make it challenging to find specific, up-to-date resources for a particular language or framework.

awesome-python, on the other hand, is a more focused and curated list of Python-specific tools, libraries, and resources. It provides a well-organized overview of the Python ecosystem, making it easier for developers to discover and evaluate Python-related projects and libraries.

Both repositories serve different purposes and can be valuable depending on the user's needs. free-programming-books is better for those seeking free educational materials across multiple programming languages, while awesome-python is ideal for Python developers looking for high-quality tools and libraries within the Python ecosystem.

A complete computer science study plan to become a software engineer.

Pros of coding-interview-university

  • Comprehensive study plan for computer science fundamentals and interview preparation
  • Includes a wide range of topics beyond just Python, covering algorithms, data structures, and system design
  • Provides a structured learning path with clear goals and milestones

Cons of coding-interview-university

  • Less focused on Python-specific resources and libraries
  • May be overwhelming for beginners or those not specifically preparing for technical interviews
  • Lacks the extensive categorization and organization of resources found in awesome-python

Code comparison

While both repositories don't primarily focus on code snippets, coding-interview-university occasionally includes simple implementations for educational purposes:

# coding-interview-university example (Binary Search)
def binary_search(list, item):
    low = 0
    high = len(list) - 1
    while low <= high:
        mid = (low + high) // 2
        guess = list[mid]
        if guess == item:
            return mid
        if guess > item:
            high = mid - 1
        else:
            low = mid + 1
    return None

awesome-python, on the other hand, primarily links to external resources and doesn't typically include code snippets directly in the repository.

Both repositories serve different purposes: coding-interview-university is a comprehensive study guide for computer science and interview preparation, while awesome-python is a curated list of Python frameworks, libraries, and resources. The choice between them depends on the user's specific learning goals and needs.

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

Pros of developer-roadmap

  • Provides a comprehensive visual guide for various tech career paths
  • Regularly updated with modern technologies and industry trends
  • Offers interactive roadmaps with detailed explanations for each topic

Cons of developer-roadmap

  • Focuses on career paths rather than specific language resources
  • May be overwhelming for beginners due to the breadth of information
  • Less granular in terms of specific library recommendations

Code comparison

Not applicable, as both repositories don't contain significant code samples. developer-roadmap primarily consists of markdown files and images, while awesome-python is a curated list of Python resources.

Key differences

awesome-python:

  • Specifically tailored for Python developers
  • Provides a curated list of libraries, tools, and resources
  • Organized by categories (e.g., Web Development, Data Visualization)

developer-roadmap:

  • Covers multiple technology stacks and career paths
  • Offers visual roadmaps for different roles (e.g., Frontend, Backend, DevOps)
  • Includes general programming concepts and best practices

Both repositories are valuable resources for developers, but they serve different purposes. awesome-python is ideal for Python-specific tools and libraries, while developer-roadmap offers a broader perspective on various tech career paths and skills required for different roles in the industry.

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README

Awesome Python Awesome

An opinionated list of awesome Python frameworks, libraries, software and resources.

Inspired by awesome-php.


Admin Panels

Libraries for administrative interfaces.

  • ajenti - The admin panel your servers deserve.
  • django-grappelli - A jazzy skin for the Django Admin-Interface.
  • flask-admin - Simple and extensible administrative interface framework for Flask.
  • flower - Real-time monitor and web admin for Celery.
  • jet-bridge - Admin panel framework for any application with nice UI (ex Jet Django).
  • wooey - A Django app which creates automatic web UIs for Python scripts.
  • streamlit - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.

Algorithms and Design Patterns

Python implementation of data structures, algorithms and design patterns. Also see awesome-algorithms.

  • Algorithms
    • algorithms - Minimal examples of data structures and algorithms.
    • python-ds - A collection of data structure and algorithms for coding interviews.
    • sortedcontainers - Fast and pure-Python implementation of sorted collections.
    • thealgorithms - All Algorithms implemented in Python.
  • Design Patterns
    • pypattyrn - A simple yet effective library for implementing common design patterns.
    • python-patterns - A collection of design patterns in Python.
    • transitions - A lightweight, object-oriented finite state machine implementation.

ASGI Servers

ASGI-compatible web servers.

  • daphne - A HTTP, HTTP2 and WebSocket protocol server for ASGI and ASGI-HTTP.
  • uvicorn - A lightning-fast ASGI server implementation, using uvloop and httptools.
  • hypercorn - An ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.

Asynchronous Programming

Libraries for asynchronous, concurrent and parallel execution. Also see awesome-asyncio.

  • asyncio - (Python standard library) Asynchronous I/O, event loop, coroutines and tasks.
  • concurrent.futures - (Python standard library) A high-level interface for asynchronously executing callables.
  • multiprocessing - (Python standard library) Process-based parallelism.
  • trio - A friendly library for async concurrency and I/O.
  • twisted - An event-driven networking engine.
  • uvloop - Ultra fast asyncio event loop.
  • eventlet - Asynchronous framework with WSGI support.
  • gevent - A coroutine-based Python networking library that uses greenlet.

Audio

Libraries for manipulating audio and its metadata.

  • Audio
    • audioread - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.
    • audioFlux - A library for audio and music analysis, feature extraction.
    • dejavu - Audio fingerprinting and recognition.
    • kapre - Keras Audio Preprocessors.
    • librosa - Python library for audio and music analysis.
    • matchering - A library for automated reference audio mastering.
    • mingus - An advanced music theory and notation package with MIDI file and playback support.
    • pyaudioanalysis - Audio feature extraction, classification, segmentation and applications.
    • pydub - Manipulate audio with a simple and easy high level interface.
    • timeside - Open web audio processing framework.
  • Metadata
    • beets - A music library manager and MusicBrainz tagger.
    • eyed3 - A tool for working with audio files, specifically MP3 files containing ID3 metadata.
    • mutagen - A Python module to handle audio metadata.
    • tinytag - A library for reading music meta data of MP3, OGG, FLAC and Wave files.

Authentication

Libraries for implementing authentications schemes.

  • OAuth
    • authlib - JavaScript Object Signing and Encryption draft implementation.
    • django-allauth - Authentication app for Django that "just works."
    • django-oauth-toolkit - OAuth 2 goodies for Django.
    • oauthlib - A generic and thorough implementation of the OAuth request-signing logic.
  • JWT
    • pyjwt - JSON Web Token implementation in Python.
    • python-jose - A JOSE implementation in Python.

Build Tools

Compile software from source code.

  • bitbake - A make-like build tool for embedded Linux.
  • buildout - A build system for creating, assembling and deploying applications from multiple parts.
  • platformio - A console tool to build code with different development platforms.
  • pybuilder - A continuous build tool written in pure Python.
  • scons - A software construction tool.

Built-in Classes Enhancement

Libraries for enhancing Python built-in classes.

  • attrs - Replacement for __init__, __eq__, __repr__, etc. boilerplate in class definitions.
  • bidict - Efficient, Pythonic bidirectional map data structures and related functionality..
  • box - Python dictionaries with advanced dot notation access.
  • dataclasses - (Python standard library) Data classes.
  • dotteddict - A library that provides a method of accessing lists and dicts with a dotted path notation.

CMS

Content Management Systems.

  • feincms - One of the most advanced Content Management Systems built on Django.
  • indico - A feature-rich event management system, made @ CERN.
  • wagtail - A Django content management system.

Caching

Libraries for caching data.

  • beaker - A WSGI middleware for sessions and caching.
  • django-cache-machine - Automatic caching and invalidation for Django models.
  • django-cacheops - A slick ORM cache with automatic granular event-driven invalidation.
  • dogpile.cache - dogpile.cache is a next generation replacement for Beaker made by the same authors.
  • hermescache - Python caching library with tag-based invalidation and dogpile effect prevention.
  • pylibmc - A Python wrapper around the libmemcached interface.
  • python-diskcache - SQLite and file backed cache backend with faster lookups than memcached and redis.

ChatOps Tools

Libraries for chatbot development.

  • errbot - The easiest and most popular chatbot to implement ChatOps.

Code Analysis

Tools of static analysis, linters and code quality checkers. Also see awesome-static-analysis.

  • Code Analysis
    • code2flow - Turn your Python and JavaScript code into DOT flowcharts.
    • prospector - A tool to analyse Python code.
    • vulture - A tool for finding and analysing dead Python code.
  • Code Linters
  • Code Formatters
    • black - The uncompromising Python code formatter.
    • isort - A Python utility / library to sort imports.
    • yapf - Yet another Python code formatter from Google.
  • Static Type Checkers, also see awesome-python-typing
    • mypy - Check variable types during compile time.
    • pyre-check - Performant type checking.
    • typeshed - Collection of library stubs for Python, with static types.
  • Static Type Annotations Generators
    • monkeytype - A system for Python that generates static type annotations by collecting runtime types.
    • pytype - Pytype checks and infers types for Python code - without requiring type annotations.

Command-line Interface Development

Libraries for building command-line applications.

  • Command-line Application Development
    • cement - CLI Application Framework for Python.
    • click - A package for creating beautiful command line interfaces in a composable way.
    • cliff - A framework for creating command-line programs with multi-level commands.
    • python-fire - A library for creating command line interfaces from absolutely any Python object.
    • python-prompt-toolkit - A library for building powerful interactive command lines.
  • Terminal Rendering
    • alive-progress - A new kind of Progress Bar, with real-time throughput, eta and very cool animations.
    • asciimatics - A package to create full-screen text UIs (from interactive forms to ASCII animations).
    • bashplotlib - Making basic plots in the terminal.
    • colorama - Cross-platform colored terminal text.
    • rich - Python library for rich text and beautiful formatting in the terminal. Also provides a great RichHandler log handler.
    • tqdm - Fast, extensible progress bar for loops and CLI.

Command-line Tools

Useful CLI-based tools for productivity.

  • Productivity Tools
    • copier - A library and command-line utility for rendering projects templates.
    • cookiecutter - A command-line utility that creates projects from cookiecutters (project templates).
    • doitlive - A tool for live presentations in the terminal.
    • howdoi - Instant coding answers via the command line.
    • invoke - A tool for managing shell-oriented subprocesses and organizing executable Python code into CLI-invokable tasks.
    • pathpicker - Select files out of bash output.
    • thefuck - Correcting your previous console command.
    • tmuxp - A tmux session manager.
    • try - A dead simple CLI to try out python packages - it's never been easier.
  • CLI Enhancements
    • httpie - A command line HTTP client, a user-friendly cURL replacement.
    • iredis - Redis CLI with autocompletion and syntax highlighting.
    • litecli - SQLite CLI with autocompletion and syntax highlighting.
    • mycli - MySQL CLI with autocompletion and syntax highlighting.
    • pgcli - PostgreSQL CLI with autocompletion and syntax highlighting.

Computer Vision

Libraries for Computer Vision.

  • easyocr - Ready-to-use OCR with 40+ languages supported.
  • kornia - Open Source Differentiable Computer Vision Library for PyTorch.
  • opencv - Open Source Computer Vision Library.
  • pytesseract - A wrapper for Google Tesseract OCR.
  • tesserocr - Another simple, Pillow-friendly, wrapper around the tesseract-ocr API for OCR.

Configuration Files

Libraries for storing and parsing configuration options.

  • configparser - (Python standard library) INI file parser.
  • configobj - INI file parser with validation.
  • hydra - Hydra is a framework for elegantly configuring complex applications.
  • python-decouple - Strict separation of settings from code.

Cryptography

  • cryptography - A package designed to expose cryptographic primitives and recipes to Python developers.
  • paramiko - The leading native Python SSHv2 protocol library.
  • pynacl - Python binding to the Networking and Cryptography (NaCl) library.

Data Analysis

Libraries for data analyzing.

  • pandas - A library providing high-performance, easy-to-use data structures and data analysis tools.
  • aws-sdk-pandas - Pandas on AWS.
  • datasette - An open source multi-tool for exploring and publishing data.
  • optimus - Agile Data Science Workflows made easy with PySpark.

Data Validation

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

  • cerberus - A lightweight and extensible data validation library.
  • colander - Validating and deserializing data obtained via XML, JSON, an HTML form post.
  • jsonschema - An implementation of JSON Schema for Python.
  • schema - A library for validating Python data structures.
  • schematics - Data Structure Validation.
  • voluptuous - A Python data validation library.
  • pydantic - Data validation using Python type hints.

Data Visualization

Libraries for visualizing data. Also see awesome-javascript.

  • altair - Declarative statistical visualization library for Python.
  • bokeh - Interactive Web Plotting for Python.
  • bqplot - Interactive Plotting Library for the Jupyter Notebook.
  • cartopy - A cartographic python library with matplotlib support.
  • diagrams - Diagram as Code.
  • matplotlib - A Python 2D plotting library.
  • plotnine - A grammar of graphics for Python based on ggplot2.
  • pygal - A Python SVG Charts Creator.
  • pygraphviz - Python interface to Graphviz.
  • pyqtgraph - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
  • seaborn - Statistical data visualization using Matplotlib.
  • vispy - High-performance scientific visualization based on OpenGL.

Database

Databases implemented in Python.

  • pickleDB - A simple and lightweight key-value store for Python.
  • tinydb - A tiny, document-oriented database.
  • zodb - A native object database for Python. A key-value and object graph database.

Database Drivers

Libraries for connecting and operating databases.

  • MySQL - awesome-mysql
  • PostgreSQL - awesome-postgres
    • psycopg - The most popular PostgreSQL adapter for Python.
  • SQlite - awesome-sqlite
    • sqlite3 - (Python standard library) SQlite interface compliant with DB-API 2.0.
    • sqlite-utils - Python CLI utility and library for manipulating SQLite databases.
  • Other Relational Databases
    • pymssql - A simple database interface to Microsoft SQL Server.
    • clickhouse-driver - Python driver with native interface for ClickHouse.
  • NoSQL Databases
    • cassandra-driver - The Python Driver for Apache Cassandra.
    • happybase - A developer-friendly library for Apache HBase.
    • kafka-python - The Python client for Apache Kafka.
    • pymongo - The official Python client for MongoDB.
    • motor - The async Python driver for MongoDB.
    • redis-py - The Python client for Redis.

Date and Time

Libraries for working with dates and times.

  • arrow - A Python library that offers a sensible and human-friendly approach to creating, manipulating, formatting and converting dates, times and timestamps.
  • dateutil - Extensions to the standard Python datetime module.
  • pendulum - Python datetimes made easy.
  • pytz - World timezone definitions, modern and historical. Brings the tz database into Python.

Debugging Tools

Libraries for debugging code.

  • pdb-like Debugger
    • ipdb - IPython-enabled pdb.
    • pudb - A full-screen, console-based Python debugger.
  • Tracing
    • manhole - Debugging UNIX socket connections and present the stacktraces for all threads and an interactive prompt.
    • python-hunter - A flexible code tracing toolkit.
  • Profiler
    • py-spy - A sampling profiler for Python programs. Written in Rust.
    • vprof - Visual Python profiler.
  • Others
    • django-debug-toolbar - Display various debug information for Django.
    • flask-debugtoolbar - A port of the django-debug-toolbar to flask.
    • icecream - Inspect variables, expressions, and program execution with a single, simple function call.
    • pyelftools - Parsing and analyzing ELF files and DWARF debugging information.

Deep Learning

Frameworks for Neural Networks and Deep Learning. Also see awesome-deep-learning.

  • keras - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.
  • pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
  • pytorch-lightning - Deep learning framework to train, deploy, and ship AI products Lightning fast.
  • stable-baselines3 - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.
  • tensorflow - The most popular Deep Learning framework created by Google.
  • theano - A library for fast numerical computation.

DevOps Tools

Software and libraries for DevOps.

  • Configuration Management
    • ansible - A radically simple IT automation platform.
    • cloudinit - A multi-distribution package that handles early initialization of a cloud instance.
    • openstack - Open source software for building private and public clouds.
    • pyinfra - A versatile CLI tools and python libraries to automate infrastructure.
    • saltstack - Infrastructure automation and management system.
  • SSH-style Deployment
    • cuisine - Chef-like functionality for Fabric.
    • fabric - A simple, Pythonic tool for remote execution and deployment.
  • Process Management
    • supervisor - Supervisor process control system for UNIX.
  • Monitoring
    • psutil - A cross-platform process and system utilities module.
  • Backup
    • borg - A deduplicating archiver with compression and encryption.

Distributed Computing

Frameworks and libraries for Distributed Computing.

  • Batch Processing
    • dask - A flexible parallel computing library for analytic computing.
    • luigi - A module that helps you build complex pipelines of batch jobs.
    • PySpark - Apache Spark Python API.
    • Ray - A system for parallel and distributed Python that unifies the machine learning ecosystem.
  • Stream Processing

Distribution

Libraries to create packaged executables for release distribution.

  • py2app - Freezes Python scripts (Mac OS X).
  • py2exe - Freezes Python scripts (Windows).
  • pyarmor - A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
  • pyinstaller - Converts Python programs into stand-alone executables (cross-platform).
  • shiv - A command line utility for building fully self-contained zipapps (PEP 441), but with all their dependencies included.

Documentation

Libraries for generating project documentation.

  • sphinx - Python Documentation generator.
  • pdoc - Epydoc replacement to auto generate API documentation for Python libraries.

Downloader

Libraries for downloading.

  • akshare - A financial data interface library, built for human beings!
  • s3cmd - A command line tool for managing Amazon S3 and CloudFront.
  • youtube-dl - A command-line program to download videos from YouTube and other video sites.

Editor Plugins and IDEs

  • Emacs
    • elpy - Emacs Python Development Environment.
  • Vim
    • jedi-vim - Vim bindings for the Jedi auto-completion library for Python.
    • python-mode - An all in one plugin for turning Vim into a Python IDE.
    • YouCompleteMe - Includes Jedi-based completion engine for Python.
  • Visual Studio
    • PTVS - Python Tools for Visual Studio.
  • Visual Studio Code
    • Python - The official VSCode extension with rich support for Python.
  • IDE
    • PyCharm - Commercial Python IDE by JetBrains. Has free community edition available.
    • spyder - Open Source Python IDE.

Email

Libraries for sending and parsing email.

  • Mail Servers
    • modoboa - A mail hosting and management platform including a modern Web UI.
    • salmon - A Python Mail Server.
  • Clients
    • imbox - Python IMAP for Humans.
    • yagmail - Yet another Gmail/SMTP client.
  • Others
    • flanker - An email address and Mime parsing library.
    • mailer - High-performance extensible mail delivery framework.

Environment Management

Libraries for Python version and virtual environment management.

  • pyenv - Simple Python version management.
  • virtualenv - A tool to create isolated Python environments.

File Manipulation

Libraries for file manipulation.

  • mimetypes - (Python standard library) Map filenames to MIME types.
  • pathlib - (Python standard library) An cross-platform, object-oriented path library.
  • path.py - A module wrapper for os.path.
  • python-magic - A Python interface to the libmagic file type identification library.
  • watchdog - API and shell utilities to monitor file system events.

Functional Programming

Functional Programming with Python.

  • coconut - A variant of Python built for simple, elegant, Pythonic functional programming.
  • funcy - A fancy and practical functional tools.
  • more-itertools - More routines for operating on iterables, beyond itertools.
  • returns - A set of type-safe monads, transformers, and composition utilities.
  • cytoolz - Cython implementation of Toolz: High performance functional utilities.
  • toolz - A collection of functional utilities for iterators, functions, and dictionaries.

GUI Development

Libraries for working with graphical user interface applications.

  • curses - Built-in wrapper for ncurses used to create terminal GUI applications.
  • Eel - A library for making simple Electron-like offline HTML/JS GUI apps.
  • enaml - Creating beautiful user-interfaces with Declarative Syntax like QML.
  • Flexx - Flexx is a pure Python toolkit for creating GUI's, that uses web technology for its rendering.
  • Gooey - Turn command line programs into a full GUI application with one line.
  • kivy - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS.
  • pyglet - A cross-platform windowing and multimedia library for Python.
  • PyGObject - Python Bindings for GLib/GObject/GIO/GTK+ (GTK+3).
  • PyQt - Python bindings for the Qt cross-platform application and UI framework.
  • PySimpleGUI - Wrapper for tkinter, Qt, WxPython and Remi.
  • pywebview - A lightweight cross-platform native wrapper around a webview component.
  • Tkinter - Tkinter is Python's de-facto standard GUI package.
  • Toga - A Python native, OS native GUI toolkit.
  • urwid - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc.
  • wxPython - A blending of the wxWidgets C++ class library with the Python.
  • DearPyGui - A Simple GPU accelerated Python GUI framework

GraphQL

Libraries for working with GraphQL.

  • graphene - GraphQL framework for Python.

Game Development

Awesome game development libraries.

  • Arcade - Arcade is a modern Python framework for crafting games with compelling graphics and sound.
  • Cocos2d - cocos2d is a framework for building 2D games, demos, and other graphical/interactive applications.
  • Harfang3D - Python framework for 3D, VR and game development.
  • Panda3D - 3D game engine developed by Disney.
  • Pygame - Pygame is a set of Python modules designed for writing games.
  • PyOgre - Python bindings for the Ogre 3D render engine, can be used for games, simulations, anything 3D.
  • PyOpenGL - Python ctypes bindings for OpenGL and it's related APIs.
  • PySDL2 - A ctypes based wrapper for the SDL2 library.
  • RenPy - A Visual Novel engine.

Geolocation

Libraries for geocoding addresses and working with latitudes and longitudes.

  • django-countries - A Django app that provides a country field for models and forms.
  • geodjango - A world-class geographic web framework.
  • geojson - Python bindings and utilities for GeoJSON.
  • geopy - Python Geocoding Toolbox.

HTML Manipulation

Libraries for working with HTML and XML.

  • beautifulsoup - Providing Pythonic idioms for iterating, searching, and modifying HTML or XML.
  • bleach - A whitelist-based HTML sanitization and text linkification library.
  • cssutils - A CSS library for Python.
  • html5lib - A standards-compliant library for parsing and serializing HTML documents and fragments.
  • lxml - A very fast, easy-to-use and versatile library for handling HTML and XML.
  • markupsafe - Implements a XML/HTML/XHTML Markup safe string for Python.
  • pyquery - A jQuery-like library for parsing HTML.
  • untangle - Converts XML documents to Python objects for easy access.
  • WeasyPrint - A visual rendering engine for HTML and CSS that can export to PDF.
  • xmldataset - Simple XML Parsing.
  • xmltodict - Working with XML feel like you are working with JSON.

HTTP Clients

Libraries for working with HTTP.

  • httpx - A next generation HTTP client for Python.
  • requests - HTTP Requests for Humans.
  • treq - Python requests like API built on top of Twisted's HTTP client.
  • urllib3 - A HTTP library with thread-safe connection pooling, file post support, sanity friendly.

Hardware

Libraries for programming with hardware.

  • keyboard - Hook and simulate global keyboard events on Windows and Linux.
  • mouse - Hook and simulate global mouse events on Windows and Linux.
  • pynput - A library to control and monitor input devices.
  • scapy - A brilliant packet manipulation library.

Image Processing

Libraries for manipulating images.

  • pillow - Pillow is the friendly PIL fork.
  • python-barcode - Create barcodes in Python with no extra dependencies.
  • pymatting - A library for alpha matting.
  • python-qrcode - A pure Python QR Code generator.
  • pywal - A tool that generates color schemes from images.
  • pyvips - A fast image processing library with low memory needs.
  • quads - Computer art based on quadtrees.
  • scikit-image - A Python library for (scientific) image processing.
  • thumbor - A smart imaging service. It enables on-demand crop, re-sizing and flipping of images.
  • wand - Python bindings for MagickWand, C API for ImageMagick.

Implementations

Implementations of Python.

  • cpython - Default, most widely used implementation of the Python programming language written in C.
  • cython - Optimizing Static Compiler for Python.
  • clpython - Implementation of the Python programming language written in Common Lisp.
  • ironpython - Implementation of the Python programming language written in C#.
  • micropython - A lean and efficient Python programming language implementation.
  • numba - Python JIT compiler to LLVM aimed at scientific Python.
  • peachpy - x86-64 assembler embedded in Python.
  • pypy - A very fast and compliant implementation of the Python language.
  • pyston - A Python implementation using JIT techniques.

Interactive Interpreter

Interactive Python interpreters (REPL).

Internationalization

Libraries for working with i18n.

  • Babel - An internationalization library for Python.
  • PyICU - A wrapper of International Components for Unicode C++ library (ICU).

Job Scheduler

Libraries for scheduling jobs.

  • Airflow - Airflow is a platform to programmatically author, schedule and monitor workflows.
  • APScheduler - A light but powerful in-process task scheduler that lets you schedule functions.
  • django-schedule - A calendaring app for Django.
  • doit - A task runner and build tool.
  • gunnery - Multipurpose task execution tool for distributed systems with web-based interface.
  • Joblib - A set of tools to provide lightweight pipelining in Python.
  • Plan - Writing crontab file in Python like a charm.
  • Prefect - A modern workflow orchestration framework that makes it easy to build, schedule and monitor robust data pipelines.
  • schedule - Python job scheduling for humans.
  • Spiff - A powerful workflow engine implemented in pure Python.
  • TaskFlow - A Python library that helps to make task execution easy, consistent and reliable.

Logging

Libraries for generating and working with logs.

  • logbook - Logging replacement for Python.
  • logging - (Python standard library) Logging facility for Python.
  • loguru - Library which aims to bring enjoyable logging in Python.
  • sentry-python - Sentry SDK for Python.
  • structlog - Structured logging made easy.

Machine Learning

Libraries for Machine Learning. Also see awesome-machine-learning.

  • gym - A toolkit for developing and comparing reinforcement learning algorithms.
  • H2O - Open Source Fast Scalable Machine Learning Platform.
  • Metrics - Machine learning evaluation metrics.
  • NuPIC - Numenta Platform for Intelligent Computing.
  • scikit-learn - The most popular Python library for Machine Learning.
  • Spark ML - Apache Spark's scalable Machine Learning library.
  • vowpal_porpoise - A lightweight Python wrapper for Vowpal Wabbit.
  • xgboost - A scalable, portable, and distributed gradient boosting library.
  • MindsDB - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.

Microsoft Windows

Python programming on Microsoft Windows.

  • Python(x,y) - Scientific-applications-oriented Python Distribution based on Qt and Spyder.
  • pythonlibs - Unofficial Windows binaries for Python extension packages.
  • PythonNet - Python Integration with the .NET Common Language Runtime (CLR).
  • PyWin32 - Python Extensions for Windows.
  • WinPython - Portable development environment for Windows 7/8.

Miscellaneous

Useful libraries or tools that don't fit in the categories above.

  • blinker - A fast Python in-process signal/event dispatching system.
  • boltons - A set of pure-Python utilities.
  • itsdangerous - Various helpers to pass trusted data to untrusted environments.
  • magenta - A tool to generate music and art using artificial intelligence.
  • pluginbase - A simple but flexible plugin system for Python.
  • tryton - A general purpose business framework.

Natural Language Processing

Libraries for working with human languages.

  • General
    • gensim - Topic Modeling for Humans.
    • langid.py - Stand-alone language identification system.
    • nltk - A leading platform for building Python programs to work with human language data.
    • pattern - A web mining module.
    • polyglot - Natural language pipeline supporting hundreds of languages.
    • pytext - A natural language modeling framework based on PyTorch.
    • PyTorch-NLP - A toolkit enabling rapid deep learning NLP prototyping for research.
    • spacy - A library for industrial-strength natural language processing in Python and Cython.
    • Stanza - The Stanford NLP Group's official Python library, supporting 60+ languages.
  • Chinese
    • funNLP - A collection of tools and datasets for Chinese NLP.
    • jieba - The most popular Chinese text segmentation library.
    • pkuseg-python - A toolkit for Chinese word segmentation in various domains.
    • snownlp - A library for processing Chinese text.

Network Virtualization

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

  • mininet - A popular network emulator and API written in Python.
  • napalm - Cross-vendor API to manipulate network devices.
  • pox - A Python-based SDN control applications, such as OpenFlow SDN controllers.

News Feed

Libraries for building user's activities.

ORM

Libraries that implement Object-Relational Mapping or data mapping techniques.

  • Relational Databases
    • Django Models - The Django ORM.
    • SQLAlchemy - The Python SQL Toolkit and Object Relational Mapper.
    • dataset - Store Python dicts in a database - works with SQLite, MySQL, and PostgreSQL.
    • orator - The Orator ORM provides a simple yet beautiful ActiveRecord implementation.
    • orm - An async ORM.
    • peewee - A small, expressive ORM.
    • pony - ORM that provides a generator-oriented interface to SQL.
    • pydal - A pure Python Database Abstraction Layer.
  • NoSQL Databases
    • hot-redis - Rich Python data types for Redis.
    • mongoengine - A Python Object-Document-Mapper for working with MongoDB.
    • PynamoDB - A Pythonic interface for Amazon DynamoDB.
    • redisco - A Python Library for Simple Models and Containers Persisted in Redis.

Package Management

Libraries for package and dependency management.

  • pip - The package installer for Python.
    • pip-tools - A set of tools to keep your pinned Python dependencies fresh.
    • PyPI
  • conda - Cross-platform, Python-agnostic binary package manager.
  • poetry - Python dependency management and packaging made easy.

Package Repositories

Local PyPI repository server and proxies.

  • bandersnatch - PyPI mirroring tool provided by Python Packaging Authority (PyPA).
  • devpi - PyPI server and packaging/testing/release tool.
  • localshop - Local PyPI server (custom packages and auto-mirroring of pypi).
  • warehouse - Next generation Python Package Repository (PyPI).

Penetration Testing

Frameworks and tools for penetration testing.

  • fsociety - A Penetration testing framework.
  • setoolkit - A toolkit for social engineering.
  • sqlmap - Automatic SQL injection and database takeover tool.

Permissions

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

  • django-guardian - Implementation of per object permissions for Django 1.2+
  • django-rules - A tiny but powerful app providing object-level permissions to Django, without requiring a database.

Processes

Libraries for starting and communicating with OS processes.

Recommender Systems

Libraries for building recommender systems.

  • annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage.
  • fastFM - A library for Factorization Machines.
  • implicit - A fast Python implementation of collaborative filtering for implicit datasets.
  • libffm - A library for Field-aware Factorization Machine (FFM).
  • lightfm - A Python implementation of a number of popular recommendation algorithms.
  • spotlight - Deep recommender models using PyTorch.
  • Surprise - A scikit for building and analyzing recommender systems.
  • tensorrec - A Recommendation Engine Framework in TensorFlow.

Refactoring

Refactoring tools and libraries for Python

  • Bicycle Repair Man - Bicycle Repair Man, a refactoring tool for Python.
  • Bowler - Safe code refactoring for modern Python.
  • Rope - Rope is a python refactoring library.

RESTful API

Libraries for building RESTful APIs.

  • Django
  • Flask
    • eve - REST API framework powered by Flask, MongoDB and good intentions.
    • flask-api - Browsable Web APIs for Flask.
    • flask-restful - Quickly building REST APIs for Flask.
  • Pyramid
    • cornice - A RESTful framework for Pyramid.
  • Framework agnostic
    • falcon - A high-performance framework for building cloud APIs and web app backends.
    • fastapi - A modern, fast, web framework for building APIs with Python 3.6+ based on standard Python type hints.
    • hug - A Python 3 framework for cleanly exposing APIs.
    • sandman2 - Automated REST APIs for existing database-driven systems.
    • sanic - A Python 3.6+ web server and web framework that's written to go fast.

Robotics

Libraries for robotics.

  • PythonRobotics - This is a compilation of various robotics algorithms with visualizations.
  • rospy - This is a library for ROS (Robot Operating System).

RPC Servers

RPC-compatible servers.

  • RPyC (Remote Python Call) - A transparent and symmetric RPC library for Python
  • zeroRPC - zerorpc is a flexible RPC implementation based on ZeroMQ and MessagePack.

Science

Libraries for scientific computing. Also see Python-for-Scientists.

  • astropy - A community Python library for Astronomy.
  • bcbio-nextgen - Providing best-practice pipelines for fully automated high throughput sequencing analysis.
  • bccb - Collection of useful code related to biological analysis.
  • Biopython - Biopython is a set of freely available tools for biological computation.
  • cclib - A library for parsing and interpreting the results of computational chemistry packages.
  • Colour - Implementing a comprehensive number of colour theory transformations and algorithms.
  • Karate Club - Unsupervised machine learning toolbox for graph structured data.
  • NetworkX - A high-productivity software for complex networks.
  • NIPY - A collection of neuroimaging toolkits.
  • NumPy - A fundamental package for scientific computing with Python.
  • ObsPy - A Python toolbox for seismology.
  • Open Babel - A chemical toolbox designed to speak the many languages of chemical data.
  • PyDy - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion.
  • PyMC - Markov Chain Monte Carlo sampling toolkit.
  • QuTiP - Quantum Toolbox in Python.
  • RDKit - Cheminformatics and Machine Learning Software.
  • SciPy - A Python-based ecosystem of open-source software for mathematics, science, and engineering.
  • SimPy - A process-based discrete-event simulation framework.
  • statsmodels - Statistical modeling and econometrics in Python.
  • SymPy - A Python library for symbolic mathematics.
  • Zipline - A Pythonic algorithmic trading library.

Search

Libraries and software for indexing and performing search queries on data.

Serialization

Libraries for serializing complex data types

Serverless Frameworks

Frameworks for developing serverless Python code.

  • python-lambda - A toolkit for developing and deploying Python code in AWS Lambda.
  • Zappa - A tool for deploying WSGI applications on AWS Lambda and API Gateway.

Shell

Shells based on Python.

  • xonsh - A Python-powered, cross-platform, Unix-gazing shell language and command prompt.

Specific Formats Processing

Libraries for parsing and manipulating specific text formats.

  • General
    • tablib - A module for Tabular Datasets in XLS, CSV, JSON, YAML.
  • Office
    • docxtpl - Editing a docx document by jinja2 template
    • openpyxl - A library for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files.
    • pyexcel - Providing one API for reading, manipulating and writing csv, ods, xls, xlsx and xlsm files.
    • python-docx - Reads, queries and modifies Microsoft Word 2007/2008 docx files.
    • python-pptx - Python library for creating and updating PowerPoint (.pptx) files.
    • unoconv - Convert between any document format supported by LibreOffice/OpenOffice.
    • XlsxWriter - A Python module for creating Excel .xlsx files.
    • xlwings - A BSD-licensed library that makes it easy to call Python from Excel and vice versa.
    • xlwt / xlrd - Writing and reading data and formatting information from Excel files.
  • PDF
    • pdfminer.six - Pdfminer.six is a community maintained fork of the original PDFMiner.
    • PyPDF2 - A library capable of splitting, merging and transforming PDF pages.
    • ReportLab - Allowing Rapid creation of rich PDF documents.
  • Markdown
    • Mistune - Fastest and full featured pure Python parsers of Markdown.
    • Python-Markdown - A Python implementation of John Gruber’s Markdown.
  • YAML
    • PyYAML - YAML implementations for Python.
  • CSV
    • csvkit - Utilities for converting to and working with CSV.
  • Archive
    • unp - A command line tool that can unpack archives easily.

Static Site Generator

Static site generator is a software that takes some text + templates as input and produces HTML files on the output.

  • lektor - An easy to use static CMS and blog engine.
  • mkdocs - Markdown friendly documentation generator.
  • makesite - Simple, lightweight, and magic-free static site/blog generator (< 130 lines).
  • nikola - A static website and blog generator.
  • pelican - Static site generator that supports Markdown and reST syntax.

Tagging

Libraries for tagging items.

Task Queues

Libraries for working with task queues.

  • celery - An asynchronous task queue/job queue based on distributed message passing.
  • dramatiq - A fast and reliable background task processing library for Python 3.
  • huey - Little multi-threaded task queue.
  • mrq - A distributed worker task queue in Python using Redis & gevent.
  • rq - Simple job queues for Python.

Template Engine

Libraries and tools for templating and lexing.

  • Genshi - Python templating toolkit for generation of web-aware output.
  • Jinja2 - A modern and designer friendly templating language.
  • Mako - Hyperfast and lightweight templating for the Python platform.

Testing

Libraries for testing codebases and generating test data.

  • Testing Frameworks
    • hypothesis - Hypothesis is an advanced Quickcheck style property based testing library.
    • nose2 - The successor to nose, based on `unittest2.
    • pytest - A mature full-featured Python testing tool.
    • Robot Framework - A generic test automation framework.
    • unittest - (Python standard library) Unit testing framework.
  • Test Runners
    • green - A clean, colorful test runner.
    • mamba - The definitive testing tool for Python. Born under the banner of BDD.
    • tox - Auto builds and tests distributions in multiple Python versions
  • GUI / Web Testing
    • locust - Scalable user load testing tool written in Python.
    • PyAutoGUI - PyAutoGUI is a cross-platform GUI automation Python module for human beings.
    • Schemathesis - A tool for automatic property-based testing of web applications built with Open API / Swagger specifications.
    • Selenium - Python bindings for Selenium WebDriver.
    • sixpack - A language-agnostic A/B Testing framework.
    • splinter - Open source tool for testing web applications.
  • Mock
    • doublex - Powerful test doubles framework for Python.
    • freezegun - Travel through time by mocking the datetime module.
    • httmock - A mocking library for requests for Python 2.6+ and 3.2+.
    • httpretty - HTTP request mock tool for Python.
    • mock - (Python standard library) A mocking and patching library.
    • mocket - A socket mock framework with gevent/asyncio/SSL support.
    • responses - A utility library for mocking out the requests Python library.
    • VCR.py - Record and replay HTTP interactions on your tests.
  • Object Factories
    • factory_boy - A test fixtures replacement for Python.
    • mixer - Another fixtures replacement. Supports Django, Flask, SQLAlchemy, Peewee and etc.
    • model_mommy - Creating random fixtures for testing in Django.
  • Code Coverage
  • Fake Data
    • fake2db - Fake database generator.
    • faker - A Python package that generates fake data.
    • mimesis - is a Python library that help you generate fake data.
    • radar - Generate random datetime / time.

Text Processing

Libraries for parsing and manipulating plain texts.

  • General
    • chardet - Python 2/3 compatible character encoding detector.
    • difflib - (Python standard library) Helpers for computing deltas.
    • ftfy - Makes Unicode text less broken and more consistent automagically.
    • fuzzywuzzy - Fuzzy String Matching.
    • Levenshtein - Fast computation of Levenshtein distance and string similarity.
    • pangu.py - Paranoid text spacing.
    • pyfiglet - An implementation of figlet written in Python.
    • pypinyin - Convert Chinese hanzi (漢字) to pinyin (拼音).
    • textdistance - Compute distance between sequences with 30+ algorithms.
    • unidecode - ASCII transliterations of Unicode text.
  • Slugify
    • awesome-slugify - A Python slugify library that can preserve unicode.
    • python-slugify - A Python slugify library that translates unicode to ASCII.
    • unicode-slugify - A slugifier that generates unicode slugs with Django as a dependency.
  • Unique identifiers
    • hashids - Implementation of hashids in Python.
    • shortuuid - A generator library for concise, unambiguous and URL-safe UUIDs.
  • Parser
    • ply - Implementation of lex and yacc parsing tools for Python.
    • pygments - A generic syntax highlighter.
    • pyparsing - A general purpose framework for generating parsers.
    • python-nameparser - Parsing human names into their individual components.
    • python-phonenumbers - Parsing, formatting, storing and validating international phone numbers.
    • python-user-agents - Browser user agent parser.
    • 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.

URL Manipulation

Libraries for parsing URLs.

  • furl - A small Python library that makes parsing and manipulating URLs easy.
  • purl - A simple, immutable URL class with a clean API for interrogation and manipulation.
  • pyshorteners - A pure Python URL shortening lib.
  • webargs - A friendly library for parsing HTTP request arguments with built-in support for popular web frameworks.

Video

Libraries for manipulating video and GIFs.

  • moviepy - A module for script-based movie editing with many formats, including animated GIFs.
  • scikit-video - Video processing routines for SciPy.
  • vidgear - Most Powerful multi-threaded Video Processing framework.

Web Asset Management

Tools for managing, compressing and minifying website assets.

  • django-compressor - Compresses linked and inline JavaScript or CSS into a single cached file.
  • django-pipeline - An asset packaging library for Django.
  • django-storages - A collection of custom storage back ends for Django.
  • fanstatic - Packages, optimizes, and serves static file dependencies as Python packages.
  • fileconveyor - A daemon to detect and sync files to CDNs, S3 and FTP.
  • flask-assets - Helps you integrate webassets into your Flask app.
  • webassets - Bundles, optimizes, and manages unique cache-busting URLs for static resources.

Web Content Extracting

Libraries for extracting web contents.

  • html2text - Convert HTML to Markdown-formatted text.
  • lassie - Web Content Retrieval for Humans.
  • micawber - A small library for extracting rich content from URLs.
  • newspaper - News extraction, article extraction and content curation in Python.
  • python-readability - Fast Python port of arc90's readability tool.
  • requests-html - Pythonic HTML Parsing for Humans.
  • sumy - A module for automatic summarization of text documents and HTML pages.
  • textract - Extract text from any document, Word, PowerPoint, PDFs, etc.
  • toapi - Every web site provides APIs.

Web Crawling

Libraries to automate web scraping.

  • feedparser - Universal feed parser.
  • grab - Site scraping framework.
  • mechanicalsoup - A Python library for automating interaction with websites.
  • scrapy - A fast high-level screen scraping and web crawling framework.

Web Frameworks

Traditional full stack web frameworks. Also see RESTful API.

WebSocket

Libraries for working with WebSocket.

  • autobahn-python - WebSocket & WAMP for Python on Twisted and asyncio.
  • channels - Developer-friendly asynchrony for Django.
  • websockets - A library for building WebSocket servers and clients with a focus on correctness and simplicity.

WSGI Servers

WSGI-compatible web servers.

  • gunicorn - Pre-forked, ported from Ruby's Unicorn project.
  • uwsgi - A project aims at developing a full stack for building hosting services, written in C.
  • waitress - Multi-threaded, powers Pyramid.
  • werkzeug - A WSGI utility library for Python that powers Flask and can easily be embedded into your own projects.

Resources

Where to discover learning resources or new Python libraries.

Newsletters

Podcasts

Contributing

Your contributions are always welcome! Please take a look at the contribution guidelines first.


If you have any question about this opinionated list, do not hesitate to contact me @VintaChen on Twitter or open an issue on GitHub.