🆚 Chart.js vs. Google Charts
Compare technologies based on real-world usage data *- 📈 Chart.js is much more popular than Google Charts.
- 🌎 Chart.js is more popular in the United States, the United Kingdom, and Australia.
- 🌍 Google Charts is more popular in Uzbekistan and Uruguay.
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.
Google Charts is a free JavaScript library for creating interactive data visualizations using HTML5 and SVG.
It supports line, bar, pie, scatter, treemap, and geo charts, allows connecting to real-time data sources, provides dashboard and control components, and offers extensive customization of colors, labels, and tooltips.
Headquarters
Pricing
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.
- 🥉 Third most popular in India in the Charting category.
- 🥉 Third most popular in Australia in the Charting category.
- 🥉 Third most popular in Brazil in the Charting category.
- 🥉 Third most popular in Hungary in the Charting category.
- 🥉 Third most popular in Ukraine 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.