🆚 Alpine.js vs. Svelte

Compare technologies based on real-world usage data *

Type

Frontend framework
Frontend framework

About

Alpine.js is a minimal JavaScript framework that lets developers add reactive behavior directly in HTML markup using attributes and magic properties without needing a build tool.

It has a small footprint, supports declarative syntax with directives like x-data, x-if, x-show etc., includes global stores for shared state, and works without a virtual DOM.

Svelte is an open-source component-based front-end framework that compiles components into efficient JavaScript at build time, avoiding a virtual DOM and minimizing runtime workload.

It provides built-in reactivity, scoped component styles, transitions and animations without external libraries, smaller bundle sizes, and fast updates of only changed parts of the UI.

Headquarters

Buffalo, New York, United States

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Frontend Frameworks › Rank #4
Frontend Frameworks › Rank #12

Popularity

Determined by the number of sites using each technology.

The Alpine.js frontend framework is 7 times more popular than Svelte.
Total websites

Market share

Frontend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Alpine.js is more popular in the United States, the United Kingdom, and Germany, while Svelte is more popular in Saint Helena.
United States
United Kingdom
Germany
Netherlands
France
Italy
Switzerland
Australia
Canada
Sweden

Awards

Popularity by domain category

Determined by the number of sites in each category.

Alpine.js is more popular than Svelte in all market segments.
Business
Online Shopping
Marketing/Merchandising
Internet Services
Education/Reference
Public Information
Fashion/Beauty
Entertainment
Travel
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
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Name
Rank
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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.