🆚 Chart.js vs. D3.js
Compare technologies based on real-world usage data *- 📈 Chart.js is much more popular than D3.js.
- 🌎 Chart.js is more popular in the United States, the United Kingdom, and Australia.
- 🌍 D3.js is more popular in Paraguay, Bolivia, and Seychelles.
Type
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.
Pricing
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- 🥇 Most popular in the United States in the Charting category.
- 🥇 Most popular in the United Kingdom in the Charting category.
- 🥇 Most popular in Australia in the Charting category.
- 🥇 Most popular in Indonesia in the Charting category.
- 🥇 Most popular in Japan in the Charting category.
- 🥈 Second most popular in Korea in the Charting category.
- 🥉 Third most popular in the United States in the Charting category.
- 🥉 Third most popular in the United Kingdom in the Charting category.
- 🥉 Third most popular in France in the Charting category.
- 🥉 Third most popular in Spain in the Charting category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
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.
