Compare Bottle and CherryPy
Bottle is a fast, simple and lightweight WSGI micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the Python Standard Library.
CherryPy allows developers to build web applications in much the same way they would build any other object-oriented Python program. CherryPy has built-in tools for sessions, static files, cookies, file uploads, caching, encoding, authorization, compression, and many more.
Let's see how Bottle and CherryPy compare on various factors and features and which to choose when.

Bottle

CherryPy
Overall
Type
Release Date
Adoption and Ease of Use
Used by
Performance [?]
Flexibility


Ease of Learning


Database Support
RDBMS Support


NoSQL Support
Web & Core Features
Admin Dashboard


REST Support
Security
Templating Library
Web Forms
Authentication
If you found this useful, please help us grow by sharing this article with your followers using the sharing icons. Every share or call out will help. Thank you.
Similar Comparisons
- Compare Bottle vs Fast API
- Compare Bottle vs web2py
- Compare Django vs Bottle
- Compare Django vs CherryPy
- Compare Django vs Fast API
- Compare Django vs Flask
- Compare Django vs Pyramid
Comments (1)
lucid zen
CherryPy suffered from a lack of good documentation for a long period despite being a very good and intuitive framework. I use Flask these days but I really miss CherryPy way of structuring my code. Watch this decade old video “The Zen of CherryPy” and you’ll see what I mean. It’s one of those videos that never gets old and is timeless.
https://archive.org/details/pyvideo_281___the-zen-of-cherrypy-111