🆚 CherryPy vs. Flask

Compare technologies based on real-world usage data *

Type

Backend framework
Backend framework

About

CherryPy is an object-oriented Python web framework that lets developers build web applications in a style similar to ordinary Python programs while remaining low level and minimal.

It includes a thread-pooled WSGI-compliant HTTP server, a flexible plugin system, built-in support for sessions, static content, caching, and authentication.

Flask is a lightweight framework for building web applications in Python.

It provides a minimal core that includes URL routing, request/response handling, a built-in development server and debugger, Jinja2 as templating engine, support for RESTful APIs, and the ability to extend functionality via numerous third-party libraries.

Headquarters

Wilmington, Delaware, United States

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Backend Frameworks › Rank #51
Backend Frameworks › Rank #28

Popularity

Determined by the number of sites using each technology.

The Flask backend framework is 32 times more popular than CherryPy.
Total websites

Market share

Backend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Flask is more popular in the United States, the Netherlands, and Germany, while CherryPy is more popular in Albania.
United States
Netherlands
Germany
Norway
Spain
France
United Kingdom
Russia
Belgium
India

Awards

Popularity by domain category

Determined by the number of sites in each category.

Flask is more popular than CherryPy in all market segments.
Business
Marketing/Merchandising
Online Shopping
Internet Services
Technical Information
Blogs/Wiki
Software/Hardware
Education/Reference
General News
Entertainment

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#60,188
#252,572
View more ➝
Name
Rank
#2,397
spankbang.party
#4,318
View more ➝

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.