🆚 ApexCharts vs. Flot

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.

Flot is a JavaScript plotting library for jQuery with a focus on ease of use, attractive appearance, and interactive features.

Headquarters

Cranbury, New Jersey, United States

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 #13

Popularity

Determined by the number of sites using each technology.

The ApexCharts charting library is 1.7 times more popular than Flot.
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, India, and Germany, while Flot is more popular in Russia, Poland, and Greece.
United States
India
Germany
United Kingdom
Russia
France
Brazil
Spain
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 Flot is more commonly used on online shopping, blogs and wiki, and real estate sites.
Business
Education/Reference
Marketing/Merchandising
Internet Services
Online Shopping
Government/Military
Finance/Banking
Blogs/Wiki
Real Estate
Non-Profit/Advocacy/NGO

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#9,176
#17,252
View more ➝
Name
Rank
#15,144
#17,083
#29,400
View more ➝

See also

🗃️ About This Data