🆚 Gatsby vs. Hugo

Type

Static site generator
Static site generator

About

Gatsby is an open-source static site generator built on React and Node.js that creates fast pre-rendered websites.

It supports React components, includes built-in image optimization and lazy loading, offers more than 3,000 plugins for SEO, analytics and CMS support, and integrates a GraphQL data layer to pull content from headless CMS or APIs.

Hugo is a static site generator written in Go that focuses on speed, flexibility and structured content organization.

It supports Markdown content, templating, configurable taxonomies, multilingual sites, image processing, Sass and JavaScript pipelines, pretty URLs, a live-reload development server, and shortcodes to insert elements such as videos, images and social media embeds.

Headquarters

San Francisco, California, United States

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Popularity

Determined by the number of sites using each technology.

The Gatsby static site generator is 1.1 times more popular than Hugo.
Total websites

Market share

Static Site Generators

Popularity by country

Determined by the number of sites detected from each country.

Gatsby is more popular in the United States, the United Kingdom, and Australia, while Hugo is more popular in Germany, France, and Canada.
United States
Germany
United Kingdom
France
Australia
Poland
Canada
Japan
Netherlands
Italy

Awards

Popularity by domain category

Determined by the number of sites in each category.

Gatsby is more popular among sites focused on business, Internet services, and marketing and merchandising, while Hugo is more commonly used on software and hardware, blogs and wiki, and technical information sites.
Business
Internet Services
Software/Hardware
Blogs/Wiki
Marketing/Merchandising
Education/Reference
Finance/Banking
Online Shopping
Entertainment
Technical Information

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,016
#1,244
View more ➝
Name
Rank
#1,368
View more ➝

See also

🗃️ About This Data