🆚 mod_apreq2 vs. mod_rpaf

Compare technologies based on real-world usage data *

Type

Web server module
Web server module

About

mod_apreq2 is an Apache HTTP Server filter module that connects the libapreq2 request parsing library into the server.

It provides the APREQ2 input filter so parsed HTTP cookies, query strings, and POST data from the libapreq2 library are available in every request phase.

mod_rpaf is an Apache module that restores the original client IP address when Apache runs behind a reverse proxy by rewriting REMOTE_ADDR based on X-Forwarded-For headers.

Headquarters

Wilmington, Delaware, United States

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Web Server Modules › Rank #15
Web Server Modules › Rank #19

Popularity

Determined by the number of sites using each technology.

The mod_apreq2 web server module is 1.7 times more popular than mod_rpaf.
Total websites

Market share

Web Server Modules

Popularity by country

Determined by the number of sites detected from each country.

mod_apreq2 is more popular in the United States, Sweden, and the United Kingdom, while mod_rpaf is more popular in Russia and Tajikistan.
Russia
United States
Sweden
United Kingdom
Japan
Hungary
Denmark
Ukraine
Dominica
Tajikistan

Awards

Popularity by domain category

Determined by the number of sites in each category.

mod_apreq2 is more popular among sites focused on education and reference, online shopping, and entertainment, while mod_rpaf is more commonly used on marketing and merchandising, business, and Internet services sites.
Marketing/Merchandising
Education/Reference
Business
Internet Services
Travel
Online Shopping
Blogs/Wiki
Entertainment
Politics/Opinion
Recreation/Hobbies

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#9,062
#24,315
#51,550
View more ➝
Name
Rank
#169,056
#234,281
#275,810
#290,163
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.