🆚 CherryPy vs. Frappe Framework

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.

Frappe is a full-stack web application framework written in Python and JavaScript with MariaDB as the primary database.

It treats metadata as data via a "DocType" model, offers a rich admin UI called Desk, real-time pub/sub via socket.io, background jobs using Python RQ, built-in email and PDF generation, and a built-in CLI tool called Bench for app deployment and management.

Headquarters

Mumbai, India

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Backend Frameworks › Rank #51
Backend Frameworks › Rank #42

Popularity

Determined by the number of sites using each technology.

Frappe Framework technology is 2.5 times more popular than CherryPy.
Total websites

Market share

Backend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Frappe Framework is more popular in India, Iran, and Indonesia, while CherryPy is more popular in the United States, the Netherlands, and Albania.
India
United States
Iran
Netherlands
Albania
South Africa
Indonesia
Thailand
Mongolia
Argentina

Popularity by domain category

Determined by the number of sites in each category.

Frappe Framework is more popular than CherryPy in all market segments.
Business
Sports
Online Shopping
Job Search
Blogs/Wiki
Portal Sites
Internet Services
Education/Reference
Health
Personal Pages

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#60,188
#252,572
View more ➝
Name
Rank
#54,346
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.