🆚 Gridsome vs. VitePress

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.

VitePress is a Vue-powered static site generator and successor to VuePress, built on top of the Vite build tool.

It provides a Markdown-first workflow with Vue components, fast development updates through Vite's module system, automatic routing and sidebar generation, support for TypeScript and JSX in Markdown, built-in search indexing, a theming system, and static HTML output with minimal client-side JavaScript.

Website

Pricing

Free ✔️ Open source
Free ✔️ Open source

Categories

Popularity

Determined by the number of sites using each technology.

The VitePress static site generator is 1.8 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.

VitePress is more popular in the United States, China, and Japan, while Gridsome is more popular in Germany, Australia, and the United Kingdom.
United States
China
Germany
Australia
United Kingdom
France
Japan
Canada
Poland
Brazil

Popularity by domain category

Determined by the number of sites in each category.

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

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#60,490
#110,031
#126,063
View more ➝
Name
Rank
#6,061
#29,061
#29,726
#42,883
View more ➝

See also

🗃️ About This Data