15 Popular Open-Source Python Frameworks for Web, Networking, Data Processing, and More
This article presents a curated list of fifteen widely used open‑source Python frameworks, covering full‑stack web development, lightweight micro‑frameworks, event‑driven I/O, OLAP, distributed computing, continuous integration, and web crawling, each with a brief functional overview.
Python offers a rich ecosystem of open‑source frameworks that span web development, networking, data analysis, and distributed computing.
Django – a full‑stack web framework renowned for its automatic admin interface generated from ORM models.
Diesel – an event‑driven I/O library built on Greenlet, supporting TCP and UDP client/server programming.
Flask – a lightweight “micro‑framework” based on Werkzeug and Jinja2, extensible via extensions.
Cubes – a lightweight OLAP framework providing multidimensional analysis tools.
Kartograph.py – a beta‑stage library for generating SVG maps for ESRI.
Pulsar – an event‑driven concurrent framework enabling asynchronous servers across processes or threads.
Web2py – a full‑stack web framework focused on rapid, secure, and portable development, compatible with Google App Engine.
Falcon – a high‑performance API framework encouraging RESTful design with minimal overhead.
Dpark – a Python clone of Spark for large‑scale data processing and iterative computation, widely used at Douban.
Buildbot – a continuous‑integration system that automates builds, tests, and releases across multiple platforms.
Zerorpc – a high‑performance distributed RPC built on ZeroMQ and MessagePack.
Bottle – a single‑file WSGI micro‑framework with no external dependencies.
Tornado – an asynchronous, non‑blocking web server and framework originally developed for FriendFeed.
web.py – a minimalist web framework that provides only the essentials without routing, templating, or ORM.
Scrapy – a lightweight, easy‑to‑use framework for building web crawlers.
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