12 Must‑Know Open‑Source Python Frameworks for Web and Data Development
This article introduces twelve popular open‑source Python frameworks—including Django, Tornado, Twisted, Pulsar, Bottle, Diesel, NumPy, Scrapy, Cubes, Falcon, Web2py, and Zerorpc—detailing their key features, typical use cases, and providing direct project URLs for developers seeking robust solutions.
Here are 12 of the most popular open‑source Python frameworks on GitHub and other sites, covering web development, event‑driven I/O, OLAP, testing, crawling, and more.
Django
Django is a free, open‑source Python web‑application framework that follows the MVC pattern. It offers strong database support, admin interface, templating system, and can be combined with caching systems like memcached for high performance.
Project address: https://github.com/django/django
Tornado
Tornado is an extensible, non‑blocking web server, application framework, and asynchronous networking library originally developed at FriendFeed (acquired by Facebook in 2009). It includes a WSGI server and is released under the Apache 2.0 license.
Project address: http://www.tornadoweb.org/en/stable/
Twisted
Twisted is an event‑driven networking framework supporting many common transport and application‑layer protocols such as TCP, UDP, SSL/TLS, HTTP, IMAP, SSH, IRC, and FTP. It also provides a WSGI server for running Python web applications.
Project address: https://twistedmatrix.com/trac/
Pulsar
Pulsar, originating from eBay, is a highly scalable, high‑availability, event‑driven real‑time analytics and stream‑processing framework that can run asynchronous servers across multiple processes or threads.
Project address: https://pypi.org/project/pulsar/
Bottle
Bottle is a simple, fast, WSGI‑compliant micro‑framework that consists of a single file and has no dependencies beyond the Python standard library.
Project address: http://www.bottlepy.org/docs/dev/
Diesel
Diesel is a Greenlet‑based event I/O framework offering a clean API for writing network clients and servers, supporting TCP and UDP with non‑blocking I/O for high speed and easy scalability.
Project address: https://pypi.org/project/diesel/
NumPy
NumPy (Numerical Python) provides support for multi‑dimensional array objects (ndarray) with vectorized operations, fast performance, and a large collection of mathematical functions for array manipulation.
Project address: www.numpy.org
Scrapy
Scrapy is a fast, high‑level Python framework for web crawling and scraping, enabling extraction of structured data from websites and supporting use cases such as data mining, monitoring, and automated testing.
Project address: https://scrapy.org
Cubes
Cubes is a lightweight Python framework that provides OLAP, multidimensional data analysis, and tools for browsing aggregated data.
Project address: http://cubes.databrewery.org/explore.html
Falcon
Falcon is a high‑performance Python framework for building cloud APIs, encouraging a RESTful architecture and enabling developers to accomplish a lot with minimal effort.
Project address: http://falconframework.org
Web2py
Web2py, derived from Google’s web.py and compatible with Google App Engine, is a full‑featured Python web framework designed for rapid, secure, and portable web application development.
Project address: http://www.web2py.com
Zerorpc
Zerorpc is a high‑performance distributed RPC framework built on ZeroMQ and MessagePack, providing a service API (zeroservice) for remote procedure calls via programming or command line.
Project address: http://www.zerorpc.io
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