🆚 Modernizr vs. Slick

Type

JavaScript library
JavaScript library

About

Modernizr is an open-source feature detection library that identifies browser support for HTML, CSS, and JavaScript features and allows websites to adapt accordingly.

It enables developers to detect supported browser features at runtime, apply progressive enhancement, load polyfills only when required, and provide fallbacks for unsupported features.

Read more…

Slick is an open-source jQuery carousel library for creating responsive, touch-enabled, and keyboard-accessible content sliders.

It offers more than 50 configuration options, responsive breakpoint-specific settings, infinite looping, lazy loading, variable-width and vertical layouts, synchronized sliders, and CSS3 transitions.

Headquarters

San Francisco, California, United States
New York, United States

Website

Pricing

Free ✔️ Open source
Free ✔️ Open source

Categories

JavaScript Libraries › Rank #11
JavaScript Libraries › Rank #6
Sliders › Rank #2

Popularity

Determined by the number of sites using each technology.

The Slick JavaScript library is 1.5 times more popular than Modernizr.
Total websites

Market share

JavaScript Libraries

Popularity by country

Determined by the number of sites detected from each country.

Slick is more popular in the United States, Japan, and the United Kingdom, while Modernizr is more popular in Italy, Spain, and Greece.
United States
Japan
United Kingdom
Germany
Italy
France
Spain
India
Russia
Australia

Awards

Popularity by domain category

Determined by the number of sites in each category.

Slick is more popular among sites focused on business, marketing and merchandising, and online shopping, while Modernizr is more commonly used on art, culture and heritage sites.
Business
Marketing/Merchandising
Online Shopping
Education/Reference
Internet Services
Travel
Blogs/Wiki
Health
Entertainment
Sports

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#125
#215
View more ➝
Name
Rank
netkeiba.com
#249
View more ➝

See also

🗃️ About This Data