🆚 CanvasJS vs. jQuery Sparklines

Type

Charting library
Charting library

About

CanvasJS is a commercial JavaScript charting library for creating interactive data visualizations in web and mobile applications.

It provides more than 30 chart types, supports zooming, panning, and touch gestures, and includes animated updates, stock charts, and integrations for React, Angular, Vue, jQuery, ASP.NET, and PHP.

jQuery Sparklines is a jQuery plugin for generating small sparkline charts directly in the browser.

Headquarters

Claymont, Delaware, United States
San Jose, CA, United States

Website

Pricing

Free version ✔️ Free for non-commercial use, includes attribution
Website
(1 non-SaaS website)
$299+
Single Developer
(unlimited SaaS, OEM, mobile apps)
$399+
Team License
(5 seats)
$999+
Unlimited Developer
(unlimited seats)
$1,999+
Free ✔️ Open source

Categories

Charting › Rank #9
Charting › Rank #12

Popularity

Determined by the number of sites using each technology.

The CanvasJS charting library is 2 times more popular than jQuery Sparklines.
Total websites

Market share

Charting

Popularity by country

Determined by the number of sites detected from each country.

CanvasJS is more popular in the United States, India, and Germany, while jQuery Sparklines is more popular in Brazil, Russia, and Thailand.
United States
India
Germany
Indonesia
United Kingdom
Brazil
France
Italy
Australia
Canada

Awards

Popularity by domain category

Determined by the number of sites in each category.

CanvasJS is more popular among sites focused on business, blogs and wiki, and online shopping, while jQuery Sparklines is more commonly used on education and reference, Internet services, and marketing and merchandising sites.
Business
Blogs/Wiki
Education/Reference
Internet Services
Marketing/Merchandising
Online Shopping
Finance/Banking
Government/Military
General News
Health

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#25,091
#28,659
View more ➝
Name
Rank
#10,563
#17,083
#23,983
#25,143
View more ➝

See also

🗃️ About This Data