🆚 Chart.js vs. D3.js

Compare technologies based on real-world usage data *

Type

Charting library
JavaScript library

About

Chart.js is an open-source JavaScript library for data visualization that renders charts in HTML5 canvas.

It supports bar, line, pie, bubble, radar, polar area, scatter, and mixed charts, and offers built-in responsiveness, customizable animations, tooltip and legend controls, and tree-shaking to reduce bundle size.

D3.js is an open-source, low-level JavaScript toolbox for data visualization.

It supports loading data from CSV, JSON, and GeoJSON formats, provides scale functions for mapping data values to visual properties, includes layouts such as force-directed graphs, treemaps, and packed circles, and offers transitions, animations, and interaction tools like dragging, zooming, and panning.

Website

Pricing

Free ✔️Open source
Free ✔️Open source

Categories

Charting › Rank #2
Charting › Rank #3
JavaScript Libraries › Rank #167

Popularity

Determined by the number of sites using each technology.

The Chart.js charting library is 14 times more popular than D3.js.
Total websites

Market share

Charting

Popularity by country

Determined by the number of sites detected from each country.

Chart.js is more popular in the United States, the United Kingdom, and Australia, while D3.js is more popular in Paraguay, Bolivia, and Seychelles.
United States
United Kingdom
Australia
Germany
Canada
France
Spain
Italy
Netherlands
India

Awards

Popularity by domain category

Determined by the number of sites in each category.

Chart.js is more popular than D3.js in all market segments.
Business
Marketing/Merchandising
Education/Reference
Blogs/Wiki
Entertainment
Non-Profit/Advocacy/NGO
Online Shopping
Internet Services
Travel
Health

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#2,695
View more ➝
Name
Rank
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.