🆚 mod_jk vs. mod_python

Compare technologies based on real-world usage data *

Type

Web server module
Web server module

About

mod_jk is a module designed to forward requests from Apache to the Tomcat web server to run Java-based web applications.

mod_python is an Apache web server module that embeds the Python interpreter within the server, allowing Python code to run many times faster than traditional CGI by executing inside persistent Apache processes.

It provides a Python API for direct access to Apache internals, keeps interpreter state between requests, supports request handlers and URL mapping, offers session handling with memory or dbm storage, and enables authentication and authorization logic within Python code.

Headquarters

Wilmington, Delaware, United States
Wilmington, Delaware, United States

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Web Server Modules › Rank #9
Web Server Modules › Rank #11

Popularity

Determined by the number of sites using each technology.

The mod_jk web server module is 1.9 times more popular than mod_python.
Total websites

Market share

Web Server Modules

Popularity by country

Determined by the number of sites detected from each country.

mod_jk is more popular in Korea, the United States, and Italy, while mod_python is more popular in the Netherlands, Germany, and Belgium.
Korea
Netherlands
United States
Germany
Italy
Switzerland
Spain
Belgium
United Kingdom
China

Awards

Popularity by domain category

Determined by the number of sites in each category.

mod_jk is more popular among sites focused on business, education and reference, and marketing and merchandising, while mod_python is more commonly used on blogs and wiki, and non-profit, advocacy and NGO sites.
Business
Education/Reference
Marketing/Merchandising
Internet Services
Health
Public Information
Online Shopping
Travel
Government/Military
Religion/Ideology

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#6,453
#6,937
#12,274
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Name
Rank
View more ➝

See also

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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.