🆚 ApexCharts vs. Chartist

Type

Charting library
Charting library

About

ApexCharts is an open-source JavaScript charting library for building interactive data visualizations in web applications with a declarative API and responsive SVG rendering.

It provides more than 20 chart types, real-time and synchronized charts, zooming and panning, annotations, export to SVG, PNG, and CSV, over 100 ready-to-use samples, tree-shaking for reduced bundle size, and integrations with React, Vue, Angular, and Blazor.

Chartist is a simple, responsive, SVG-based charting library.

Headquarters

Cranbury, New Jersey, United States
Zurich, Switzerland

Website

Pricing

Free version ✔️ Community (for orgs under $2M in annual revenue), open source
Community $199/developer/year
Pro $349/developer/year
Premium $599/developer/year
OEM/Embedded $13,999/developer/year
Free ✔️ Open source

Categories

Charting › Rank #9
Charting › Rank #15

Popularity

Determined by the number of sites using each technology.

The ApexCharts charting library is 2 times more popular than Chartist.
Total websites

Market share

Charting

Popularity by country

Determined by the number of sites detected from each country.

ApexCharts is more popular in the United States, Germany, and India, while Chartist is more popular in Denmark, Japan, and Switzerland.
United States
Germany
India
United Kingdom
France
Russia
Brazil
Turkey
Italy
Australia

Awards

Popularity by domain category

Determined by the number of sites in each category.

ApexCharts is more popular among sites focused on business, education and reference, and Internet services, while Chartist is more commonly used on software and hardware, real estate, and recreation and hobbies sites.
Business
Education/Reference
Internet Services
Marketing/Merchandising
Finance/Banking
Government/Military
Non-Profit/Advocacy/NGO
Blogs/Wiki
Online Shopping
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#9,176
#17,252
View more ➝
Name
Rank
#2,843
#22,001
#22,206
View more ➝

See also

🗃️ About This Data