🆚 Docusaurus vs. Jekyll

Compare technologies based on real-world usage data *

Type

Static site generator
Static site generator

About

Docusaurus is a static site generator for React-powered documentation websites that uses MDX and a React-based theme system.

It provides built-in document versioning, internationalization, a flexible plugin architecture, and support for Algolia DocSearch and Typesense DocSearch.

Jekyll is a static site generator written in Ruby.

It uses the Liquid templating language, supports front-matter metadata and data files in YAML, JSON, and CSV formats, includes a plugin system with custom converters and generators, and offers incremental regeneration to speed up build times.

Headquarters

Menlo Park, California, United States

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Popularity

Determined by the number of sites using each technology.

The Jekyll static site generator is 3 times more popular than Docusaurus.
Total websites

Market share

Static Site Generators

Popularity by country

Determined by the number of sites detected from each country.

Jekyll is more popular in the United States, the United Kingdom, and Germany, while Docusaurus is more popular in China, Greenland, and Israel.
United States
United Kingdom
Germany
France
China
Canada
Netherlands
Brazil
Italy
Australia

Awards

Popularity by domain category

Determined by the number of sites in each category.

Jekyll is more popular among sites focused on blogs and wiki, software and hardware, and Internet services, while Docusaurus is more commonly used on shareware and freeware sites.
Blogs/Wiki
Software/Hardware
Internet Services
Business
Technical Information
Technical/Business Forums
Education/Reference
Marketing/Merchandising
Games
Personal Pages

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#62,206
View more ➝
Name
Rank
#3,491
#10,456
#12,723
#15,399
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.