🆚 Beasties vs. Vanilla LazyLoad

Compare technologies based on real-world usage data *

Type

JavaScript library
JavaScript library

About

Beasties is a plugin that inlines your app's critical CSS and lazy-loads the rest. It is a maintained fork of Critters.

LazyLoad is a lightweight and flexible script that speeds up your web application by delaying the loading of your below-the-fold images, videos and iframes until they enter the viewport.

Headquarters

Edinburgh, United Kingdom

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

JavaScript Libraries › Rank #193
JavaScript Libraries › Rank #116
Performance › Rank #25
Performance › Rank #18

Popularity

Determined by the number of sites using each technology.

The Vanilla LazyLoad JavaScript library is 4 times more popular than Beasties.
Total websites

Market share

JavaScript Libraries
Performance

Popularity by country

Determined by the number of sites detected from each country.

Vanilla LazyLoad is more popular in the United States, the United Kingdom, and Germany, while Beasties is more popular in Colombia, Bosnia and Herzegovina, and Georgia.
United States
United Kingdom
Germany
Russia
France
India
Netherlands
Italy
Poland
Brazil

Awards

Popularity by domain category

Determined by the number of sites in each category.

Vanilla LazyLoad is more popular among sites focused on business, online shopping, and marketing and merchandising, while Beasties is more commonly used on finance and banking sites.
Business
Online Shopping
Marketing/Merchandising
Travel
Internet Services
Blogs/Wiki
Fashion/Beauty
Education/Reference
Health
Entertainment

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,387
View more ➝
Name
Rank
e***rt.club
#667
#1,904
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.