🆚 Apache ECharts vs. Mermaid
Compare technologies based on real-world usage data *- 📈 Mermaid is slightly more popular than Apache ECharts.
- 🌎 Mermaid is more popular in the United States, Germany, and the United Kingdom.
- 🌍 Apache ECharts is more popular in China, Canada, and Hong Kong.
Type
About
Apache ECharts is an open-source JavaScript charting and data visualization library used to build interactive charts in web applications.
It supports over 20 chart types including line, bar, pie, scatter, heatmap, radar, tree, treemap, and geo maps, offers canvas and SVG rendering, provides rich interactivity such as zooming and brushing, and handles large datasets with progressive rendering and data streaming.
JavaScript-based diagramming and charting tool that renders Markdown-inspired text definitions to create and modify diagrams dynamically.
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 China in the Charting category.
- 🥉 Third most popular in Hong Kong in the Charting category.
- ⭐ 5th most popular in Korea in the Charting category.
- ⭐ 6th most popular in Canada in the Charting category.
- ⭐ 7th most popular in Brazil in the Charting category.
- ⭐ 5th most popular in China in the Charting category.
- ⭐ 7th most popular in Germany in the Charting category.
- ⭐ 7th most popular in France in the Charting category.
- ⭐ 7th most popular in Australia in the Charting category.
- ⭐ 8th most popular in the United States 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.