Build your projects by harnessing the power of Python, capitalizing its extensive array of frameworks, libraries and resources.
Python thrives on the strength of its vibrant community and extensive ecosystem. With a wealth of frameworks, libraries, and resources at your disposal, you can tap into a vast reservoir of tools and solutions to build exceptional software. Whether you're developing and launching web applications, data pipelines, machine learning models, geospatial processings, automated tasks, or anything in between. This versatile language offers a rich selection of options that empower you to create outstanding solutions and deliver excellence to change the world right way.
Apps
Python stands out in web application development thanks to its simplicity, extensive community support, and wide range of frameworks. The rich ecosystem provides efficient solutions for web development tasks, allowing for rapid prototyping and development. With Python, developers can focus on building features and functionality, leveraging existing tools and resources to streamline the development process.
Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design.
Flask is a lightweight WSGI web application framework.
FastAPI
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.8+ based on standard Python type hints.
Pyramid
Projects with ambition start small but finish big and must stay finished.
Bottle is a fast, simple and lightweight WSGI micro web-framework.
It is distributed as a single file module and has no dependencies other than the Python Standard Library.
Free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applications.
CherryPy is a pythonic, object-oriented web framework.
The Web Framework that scales with you.
TurboGears 2 is built on top of the experience of several next generation web frameworks including TurboGears 1, Django, and Rails.
The lightning-fast asynchronous Python web framework
A Python 3.8+ web server and web framework that’s written to go fast!
Build fast. Run fast.
Quart is an asyncio reimplementation of the popular Flask microframework API.
BlackSheep
BlackSheep is an asynchronous web framework to build event based web applications with Python.
Litestar is a powerful, flexible, highly performant, and opinionated ASGI framework.
Tornado is a scalable, non-blocking web server and asynchronous web application framework in Python.
CubicWeb is a semantic web application framework.
Empowering developers to efficiently build web applications by reusing components (called cubes) and following the well known object-oriented design principles.
Dash
Dash is the most downloaded, trusted Python framework for building ML & data science web apps.
- Built on top of Plotly.js, React, and Flask.
Streamlit
Streamlit makes it easy to create and share beautiful, custom web apps for machine learning and data science.
Reflex is an open-source, full-stack Python framework that makes it easy to build and deploy web apps in minutes.
Robyn
A Fast, Innovator Friendly, and Community Driven Python Web Framework
Robyn merges Python's async capabilities with a Rust runtime for reliable, scalable web solutions.
Starlette is a lightweight ASGI framework/toolkit, which is ideal for building async web services in Python.
Asynchronous HTTP Client/Server for asyncio and Python.
Esmerald is a modern, powerful, flexible, high performant, web framework designed to build not only APIs but also full scalable applications from the smallest to enterprise level.
Highly scalable, performant, easy to learn, easy to code and for every application.
Python3.8+, Starlette, Pydantic
Klein is a micro-framework for developing production-ready web services with Python.
Frappe Framework
Low code web framework for real world applications, in Python and Javascript.
A web framework with "batteries included"
WebPy
web.py is a web framework for python that is as simple as it is powerful.
web.py is in the public domain, you can use it for whatever purpose with absolutely no restrictions.
The powerful data exploration & web app framework for Python
Easily build powerful tools, dashboards and complex applications entirely in Python.
Dara
Dara is a dynamic application framework designed for creating interactive web apps with ease, all in pure Python.
- Build decision apps in Python
Muffin -- is a fast, lightweight and asyncronous ASGI web-framework for Python 3.
A pure Python, React-style web framework
Solara helps you build powerful & scalable Jupyter and web apps faster and easier.
Build interactive web applications easily with the power of Python’s data and scientific stack.
Taipy
Turns Data and AI algorithms into production-ready web applications in no time.
- Build Python data & AI web applications. Beyond existing libraries.
Build and share delightful machine learning web apps, all in Python.
The web framework for inventors
Emmett is a full-stack Python web framework designed with simplicity in mind.
APIs
Python owns extensive ecosystems for building REST and GraphQL APIs in simplicity and reliability. These frameowrks enable rapid development, and people could get benefits from a vibrant developer community, and provides cross-platform compatibility. Python frameworks offer security features, scalability through asynchronous frameworks, and seamless integration with other technologies. Python's well-documented libraries and support for microservices make it an ideal choice for building versatile and efficient REST and GraphQL APIs.
FastAPI
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.8+ based on standard Python type hints.
Pydantic. OpenAPI. Swagger UI.
Falcon
Falcon is a minimalist ASGI/WSGI framework for building mission-critical REST APIs and microservices, with a focus on reliability, correctness, and performance at scale.
Obvious. Clean. Radically simple.
Hug aims to make developing Python driven APIs as simple as possible, but no simpler.
Eve: The Simple Way to REST.
Eve is an open source Python REST API framework designed for human beings.
Powered by Flask and Cerberus
Django REST framework is a powerful and flexible toolkit for building Web APIs.
Flask-RESTful is an extension for Flask that adds support for quickly building REST APIs.
Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask.
Cornice
A REST framework for Pyramid
Cornice provides helpers to build & document REST-ish Web Services with Pyramid.
A webservice API framework for Django
Tastypie provides a convenient, yet powerful and highly customizable abstraction for creating REST-style interfaces.
The lightning-fast asynchronous Python web framework
A Python 3.8+ web server and web framework that’s written to go fast!
Build fast. Run fast.
Fast to learn, fast to code, fast to run
Django Ninja is a web framework for building APIs with Django and Python 3.6+ type hints.
Effortlessly build performant APIs with Litestar
Productionalise your machine learning models seamlessly
Flama is a data-science oriented framework to rapidly build modern and robust machine learning APIs.
Fire up your models with the flame
Highly scalable, performant, easy to learn, easy to code and for every application.
Esmerald is a modern, powerful, flexible, high performant, web framework designed to build not only APIs but also full scalable applications from the smallest to enterprise level.
Connexion is a modern Python web framework that makes spec-first and api-first development easy.
It works either standalone, or in combination with any ASGI or WSGI-compatible framework!
100% compatible with the Flask ecosystem.
APIFlask is a lightweight Python web API framework based on Flask and marshmallow-code projects.
GraphQL in Python Made Easy
Integrations with Django, Flask, FastAPI, SQLAlchemy, Startlette, and more
Graphene is a library that provides tools to implement a GraphQL API in Python using a code-first approach.
Graphene-Django
Build powerful, efficient, and flexible GraphQL APIs with seamless Django integration.
Strawberry
Strawberry is built on top of Python’s dataclasses and type hints functionality.
Integrations with Django, FastAPI, Flask, Quart, Sanic, Chalice, Starlette, AIOHTTP, and more
Python library for implementing GraphQL servers using schema-first approach.
Ariadne integrates with Django, FastAPI, Flask, Starlette, and others.
by Dailymotion
Effortlessly build performant APIs with trafilatura
CMS
Content Management Systems (CMS) frameworks in Python are software platforms designed to facilitate the creation, management, and publication of digital content, making it easier for users to build and maintain websites and web applications without extensive coding knowledge. Python offers several CMS frameworks that cater to various use cases and requirements.
The leading open-source Python CMS
Wagtail is an open source content management system built on Django, with a strong community and commercial support.
Open source enterprise content management system backed by the non-profit django CMS Association.
Indico
A feature-rich event management system, made @ CERN, the place where the Web was born.
The effortless open-source tool for event organisation, archival and collaboration
A CMS built on top of the open source application server Zope.
Kotti CMS
Kotti is a high-level, Pythonic web application framework based on Pyramid and SQLAlchemy.
It includes an extensible Content Management System called the Kotti CMS.
Kotti User Manual
Mezzanine
Mezzanine is a powerful, consistent, and flexible content management platform.
Built using the Django framework, Mezzanine provides a simple yet highly extensible architecture that encourages diving in and hacking on the code.
The lektor static file content management system
A flexible and powerful static content management system for building complex and beautiful websites out of flat files
ML, DL & AI
Python frameworks are exceptionally well-suited for machine learning (ML), deep learning (DL), and artificial intelligence (AI) applications. Python's popularity in this domain is driven by its rich ecosystem of specialized libraries and frameworks that simplify the development and deployment of ML, DL, and AI models.
PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.
The most popular Deep Learning framework created by Google.
Deep Learning for humans
Keras 3 is a new multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
The most popular Python library for Machine Learning.
Open Source, Distributed, Fast & Scalable Machine Learning Platform
H2O is an in-memory platform for distributed, scalable machine learning.
An API standard for reinforcement learning with a diverse collection of reference environments.
Spark ML
PySpark: The Python API for Apache Spark.
MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy.
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.
MindsDB's AI Virtual Database empowers developers to connect any AI/ML model to any datasource.
The OpenAI API can be applied to virtually any task that requires understanding or generating natural language and code.
LangChain is a framework for developing applications powered by language models.
- Building applications with LLMs through composability
Open-source framework to build, manage and run useful Autonomous AI Agents
ChatDev
Communicative Agents for Software Development
Colossal-AI: Making large AI models cheaper, faster, and more accessible
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
LLM orchestration framework to build customizable, production-ready LLM applications.
Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
Task Queues & Messaging
Python offers robust frameworks for task queues and messaging systems, facilitating the creation of scalable, asynchronous, and event-driven applications. Python's extensive libraries for message handling and serialization, along with its readability and simplicity, make it a preferred language for designing systems that rely on messaging and task queues, particularly in scenarios where background processing and real-time event handling are critical.
Celery
Distributed Task Queue
Celery is a task queue with focus on real-time processing, while also supporting task scheduling.
A fast and reliable distributed task processing library for Python 3.
Just another HTTP a declarative Python Messaging framework.
A powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker.
RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers.
Apprise - Push Notifications that work with just about every platform!
arq
Fast job queuing and RPC in python with asyncio and redis.
arq was conceived as a simple, modern and performant successor to rq.
Parallel & Distributed Computing
Python frameworks (including bindings) are often used to create applications that distribute workloads across multiple nodes or machines, enabling parallel processing, task scheduling, and distributed data processing. This approach enhances performance, scalability, and fault tolerance, making it suitable for applications involving big data processing, real-time analytics, and other computationally intensive tasks.
Ray is a unified framework for scaling AI and Python applications.
Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Parallel computing with task scheduling
Dask is a flexible parallel computing library for analytics.
PySpark
The Python API for Apache Spark.
PySpark enables you to perform real-time, large-scale data processing in a distributed environment using Python.
Python Stream Processing
Faust is a stream processing library, porting the ideas from Kafka Streams to Python.
Streamparse lets you run Python code against real-time streams of data via Apache Storm.
Workflow & Pipelines
Python provides abroad of frameworks and packages for workflow management, data pipelines, and job scheduling, making it a strong choice for data engineering and job automation. Python's flexibility, rich ecosystem, and ease of use make it well-suited for developing and maintaining data pipelines and workflow automation systems.
Apache Airflow™ is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows.
Prefect
Running Python functions as pipeline jobs
Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines
Data integration platform for ELT pipelines from APIs, databases & files to databases, warehouses & lakes
A transformation workflow that helps you get more work done while producing higher quality results.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Mage is an open-source, hybrid framework for transforming and integrating data.
The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.
Running Python functions as pipeline jobs
Joblib is a set of tools to provide lightweight pipelining in Python.
Run Python functions (or any other callable) periodically using a friendly syntax.
An open source platform for the machine learning lifecycle.
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.
A powerful workflow engine implemented in pure Python.
SpiffWorkflow is a framework that provides a flexible workflow execution environment.
A framework for building and managing real-life data science and ML projects with ease!
Python Fast Dataflow programming framework for Data pipeline work.
Kedro is a toolbox for production-ready data science.
Kedro uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
APScheduler is a Python library that lets you schedule your Python code to be executed later, either just once or periodically.
Dagster is designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.
doit comes from the idea of bringing the power of build-tools to execute any kind of task.
Serverless
Serverless offers benefits like automatic scaling, reduced operational overhead, and cost-efficiency, as you only pay for actual usage. Python frameworks are exceptionally compatible with serverless architecture, as they provide rapid development capabilities and seamless deployment to serverless platforms, aligning with the agility and scalability demands of modern cloud-based architectures.
Zappa makes it super easy to build and deploy server-less, event-driven Python applications.
LocalStack is a cloud service emulator that runs in a single container on your laptop or in your CI environment.
A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline.
Chalice
Python Serverless Microframework for AWS.
Chalice is a framework for writing serverless apps in python. It allows you to quickly create and deploy applications that use AWS Lambda.
Python Lambda
Python-lambda is a toolset for developing and deploying serverless Python code in AWS Lambda.
Microservices
Microservices architecture is a compelling approach to designing and deploying software systems, and Python is increasingly recognized as a strong choice for implementing microservices. Popular frameworks such as Falcon, Flask, FastAPI, and Nameko offer lightweight and scalable solutions for building microservices in Python, providing tools for handling HTTP requests, managing data, and orchestrating microservices interactions. Python proves to be a robust and pragmatic choice for microservices development.
A microservices framework that lets service developers concentrate on application logic and encourages testability.
Falcon
The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.
A high performance, open source universal RPC framework
It's framework built in Go by Google, and prvides grpcio and grpcio-tools supporting Python.
DevOps
Python frameworks are well-suited for modern DevOps practices due to their versatility, extensive library support, and ease of use. Python's simplicity makes it a preferred language for writing automation scripts, while the frameworks leverage Python to streamline configuration management, orchestration, and infrastructure as code.
pyinfra automates infrastructure using Python.
It’s fast and scales from one server to thousands. Great for ad-hoc command execution, service deployment, configuration management and more.
Salt is the world's fastest, most intelligent and scalable automation engine.
Built on Python, Salt is an event-driven automation tool and framework to deploy, configure, and manage complex IT systems.
Supervisor is a client/server system that allows its users to control a number of processes on UNIX-like operating systems.
A cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network, sensors) in Python.
Web Crawling / Scraping
Web crawling/scraping using Python frameworks is a highly effective approach for extracting data from websites and web-based sources. Python offers powerful frameworks that streamline the web crawling/scraping and data acquisition process. With Python's readability, extensive support for parsing HTML and handling data, and the ability to integrate with databases, web crawling/scraping becomes an ideal solution for tasks such as data mining, content aggregation, and competitive analysis.
A fast high-level web crawling & scraping framework
Scrapy is an open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.
Parse Atom and RSS feeds in Python.
Ruia
Async Python 3.6+ web scraping micro-framework based on asyncio.
Ruia is an async web scraping micro-framework, written with asyncio and aiohttp, aims to make crawling url as convenient as possible.
Dude
dude uncomplicated data extraction: A simple framework for writing web scrapers using Python decorators
Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments
dirsearch - Web path discovery
Gerapy
Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js.
GUI & TUI
Python frameworks are an excellent choice for graphical user interface (GUI) and text-based user interface (TUI) development, as they provide developers with versatile tools for creating cross-platform desktop applications. Popular GUI frameworks like Tkinter, PyQT, and Kivy offer user-friendly interfaces, extensive widget libraries, and responsive design capabilities. Python's readability and ecosystem streamline development for various purposes, ensuring a broad user reach.
Eel is a little Python library for making simple Electron-like offline HTML/JS GUI apps, with full access to Python capabilities and libraries.
A modern, fast and powerful GUI framework for Python
A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies.
Enaml is a programming language and framework for creating professional-quality user interfaces with minimal effort.
Flexx
Flexx is a pure Python toolkit for creating graphical user interfaces (GUI's), that uses web technology for its rendering.
Gooey
Turn (almost) any Python command line program into a full GUI application with one line.
Gooey converts your Console Applications into end-user-friendly GUI applications.
pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.
Support Linux, Windows and macOS and works with Python 3.8+ and PyPy3
PyGObject is a Python package which provides bindings for GObject based libraries such as GTK, GStreamer, WebKitGTK, GLib, GIO and many more.
PyQt
PyQt is a set of Python bindings for The Qt Company's Qt application framework and runs on all platforms supported by Qt including Windows, macOS, Linux, iOS and Android.
PySimpleGUI is actively developed & supported.
Transforms the tkinter, Qt, WxPython, and Remi (browser-based) GUI frameworks into a simpler interface.
Build GUI for your Python program with JavaScript, HTML, and CSS
pyTermTk
(python Terminal Toolkit) is a Text-based user interface library (TUI)
Evolved from the discontinued project pyCuT and inspired by a mix of Qt5,GTK, and tkinter api definition with a touch of personal interpretation.
wxPython
wxPython is a cross-platform GUI toolkit for the Python programming language.
Toga is a Python native, OS native, cross platform GUI toolkit.
textual
Textual is a Rapid Application Development framework for Python.
Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser!
Urwid
Urwid is a console user interface library for Python on Linux, OSX, Cygwin or other unix-like OS.
Create web-based user interfaces with Python. The nice way.
Interact with Python through buttons, dialogs, 3D scenes, plots and much more.
Games
The Python ecosystem boasts a wide array of exceptional frameworks for game development, making it a versatile and powerful platform for creating interactive and engaging games. Whether you're a beginner or an experienced game developer, Python's frameworks provide the resources needed to bring your gaming ideas to life.
Arcade is an easy-to-learn Python library for creating 2D video games.
Object-Oriented Graphics Rendering Engine
Python bindings for the Ogre 3D render engine, can be used for games, simulations, anything 3D.
Used by thousands of creators from around the world
PyOpenGL
The Python OpenGL Binding
PyOpenGL is the most common cross platform Python binding to OpenGL and related APIs.
cocos2d
A framework for building 2D games, demos, and other graphical/interactive applications.
Automated Testing
Automated testing serves as a systematic approach to validating software functionality, improving code quality, and identifying defects early in the development process. Within the Python ecosystem, testing frameworks streamline the process of writing and executing automated tests, empowering developers to construct dependable, high-quality software with assurance and reliability.
Originally inspired by JUnit and has a similar flavor as major unit testing frameworks in other languages.
behave is behaviour-driven development, Python style.
Behavior-driven development (or BDD) encourages collaboration between developers, QA and non-technical or business participants in a software project.
A Python framework that provides a simple and consistent interface for web application automation.
Ward is a modern test framework for Python with a focus on productivity and readability.
Application Integrations
In the realm of enterprise service bus (ESB) and application integrations, Python serves as a powerful and versatile ally. With a framework like Zato, developers can seamlessly orchestrate the interconnection of disparate systems, enabling efficient communication and collaboration between applications.
Zato
Open-source Enterprise Service Bus, API, AI and Cloud Integrations in Python.