🆚 CherryPy vs. Django

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.

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design while following the Model-View-Template (MVT) architectural pattern and the "don't repeat yourself" (DRY) principle.

It includes a built-in ORM, automatic admin interface, form handling, templating engine, URL routing, middleware support, and many security protections out of the box.

Headquarters

Huntersville, North Carolina, United States

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Backend Frameworks › Rank #51
Backend Frameworks › Rank #14

Popularity

Determined by the number of sites using each technology.

The Django backend framework is 210 times more popular than CherryPy.
Total websites

Market share

Backend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Django is more popular than CherryPy in all countries.
United States
Germany
United Kingdom
Russia
Netherlands
Switzerland
Spain
Brazil
France
Italy

Awards

Popularity by domain category

Determined by the number of sites in each category.

Django is more popular than CherryPy in all market segments.
Business
Education/Reference
Marketing/Merchandising
Internet Services
Online Shopping
Travel
General News
Non-Profit/Advocacy/NGO
Entertainment
Health

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#60,188
#252,572
View more ➝
Name
Rank
#387
chaturbate.com
#438
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.