🆚 Marionette vs. Stimulus

Compare technologies based on real-world usage data *

Type

Frontend framework
Frontend framework

About

Marionette is a framework that extends Backbone.js with robust views and architecture solutions.

It adds view types such as ItemView, CollectionView, CompositeView, and Layout with region management, includes automatic cleanup of child views to prevent memory leaks, uses Backbone.Radio for decoupled messaging, and provides utility functions and normalized method/event binding.

Stimulus is a JavaScript framework designed to enhance static or server-rendered HTML by connecting JavaScript controller classes to DOM elements via data attributes.

It monitors changes in the DOM, supports event handling through HTML annotations, lets you refer to internal elements via targets, and stores state in HTML attributes rather than using a virtual DOM or heavy rendering.

Headquarters

Chicago, Illinois, United States

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Frontend Frameworks › Rank #24
Frontend Frameworks › Rank #10

Popularity

Determined by the number of sites using each technology.

The Stimulus frontend framework is 10 times more popular than Marionette.
Total websites

Market share

Frontend Frameworks

Popularity by country

Determined by the number of sites detected from each country.

Stimulus is more popular than Marionette in all countries.
Germany
United States
France
United Kingdom
Netherlands
Czech Republic
Italy
Spain
Switzerland
Australia

Awards

Popularity by domain category

Determined by the number of sites in each category.

Stimulus is more popular than Marionette in all market segments.
Business
Online Shopping
Marketing/Merchandising
Education/Reference
Entertainment
Internet Services
Travel
Software/Hardware
Blogs/Wiki
Real Estate

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#62,771
#73,456
#118,141
View more ➝
Name
Rank
View more ➝

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.