🆚 Gridsome vs. MkDocs

Type

Static site generator
Static site generator

About

Gridsome is a Vue.js powered Jamstack framework for building statically generated websites and applications.

It uses GraphQL as a unified data layer to source content from APIs, files, and headless CMSs, generates static HTML with Vue components, provides image optimization and code splitting, and supports plugins.

MkDocs is an open-source static site generator for building project documentation from Markdown files with a simple configuration-driven workflow.

It uses a single YAML configuration file to define navigation and site settings, includes a built-in development server with live reloading, supports theming and plugins, and provides one-command deployment to GitHub Pages.

Headquarters

Brighton, United Kingdom

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Popularity

Determined by the number of sites using each technology.

The MkDocs static site generator is 2.3 times more popular than Gridsome.
Total websites

Market share

Static Site Generators

Popularity by country

Determined by the number of sites detected from each country.

MkDocs is more popular in the United States, Germany, and France, while Gridsome is more popular in Australia, Poland, and Norway.
United States
Germany
France
United Kingdom
Australia
Netherlands
Russia
Brazil
Canada
China

Awards

Popularity by domain category

Determined by the number of sites in each category.

MkDocs is more popular among sites focused on Internet services, software and hardware, and technical information, while Gridsome is more commonly used on business, finance and banking, and marketing and merchandising sites.
Business
Internet Services
Software/Hardware
Technical Information
Blogs/Wiki
Finance/Banking
Technical/Business Forums
Education/Reference
Games
Marketing/Merchandising

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#60,490
#68,221
#110,031
View more ➝
Name
Rank
#12,026
#30,903
#54,106
#57,081
View more ➝

See also

🗃️ About This Data