🆚 AMP vs. Lit

Type

Website component
Website component

About

AMP, short for Accelerated Mobile Pages, is an open-source HTML framework originally created by Google for building lightweight web pages optimized for fast loading on mobile devices.

It uses a restricted set of HTML components, asynchronous resource loading, sandboxed JavaScript, and a component library for images, video, advertising, analytics, and interactive content.

Read more…

Lit is an open-source JavaScript library for building fast and lightweight web components, developed as the successor to Google's Polymer project.

The library uses native Web Components APIs with reactive properties and HTML template literals, reduces boilerplate compared to Polymer, updates only changed parts of the DOM for faster rendering, and supports server-side rendering, TypeScript, and integration with frameworks such as React, Vue, and Angular.

Headquarters

San Francisco, California, United States
San Francisco, California, United States

Website

Pricing

Free ✔️ Open source
Free ✔️ Open source

Categories

Components › Rank #2
Components › Rank #15
UI Frameworks › Rank #5
JavaScript Libraries › Rank #224

Popularity

Determined by the number of sites using each technology.

AMP component technology is 42 times more popular than Lit.
Total websites

Market share

Components

Popularity by country

Determined by the number of sites detected from each country.

AMP is more popular in Indonesia, the United States, and Turkey, while Lit is more popular in Gibraltar.
Indonesia
United States
Turkey
Russia
United Kingdom
India
Brazil
Germany
Japan
France

Awards

Popularity by domain category

Determined by the number of sites in each category.

AMP is more popular than Lit in all market segments.
Blogs/Wiki
Business
General News
Marketing/Merchandising
Online Shopping
Entertainment
Internet Services
Education/Reference
Travel
Sports

Top sites

Top-ranked sites that use these technologies.

Name
Rank
xhamster.com
#24
xvideos.com
#59
View more ➝
Name
Rank
#5,363
View more ➝

See also

🗃️ About This Data