Apache ECharts is a powerful, interactive charting and data visualization library for browser

Clone this repo:
  1. e20d372 Merge pull request #18660 from apache/dependabot/npm_and_yarn/socket.io-parser-3.4.3 by Zhongxiang Wang · 11 days ago master
  2. 9291b82 chore(deps): bump socket.io-parser from 3.4.2 to 3.4.3 by dependabot[bot] · 11 days ago
  3. a555684 Merge pull request #18469 from apache/fix-18453 by Wenli Zhang · 12 days ago
  4. 38d0265 Merge pull request #18625 from apache/test/pie-selectedOffset by Zhongxiang Wang · 3 weeks ago
  5. daa7479 Merge pull request #18624 from apache/fix/graph/edgeLabel-NPE by Zhongxiang Wang · 3 weeks ago

Apache ECharts

Apache ECharts is a free, powerful charting and visualization library offering easy ways to add intuitive, interactive, and highly customizable charts to your commercial products. It is written in pure JavaScript and based on zrender, which is a whole new lightweight canvas library.


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Get Apache ECharts

You may choose one of the following methods:


Get Help


Build echarts source code:

Execute the instructions in the root directory of the echarts: (Node.js is required)

# Install the dependencies from NPM:
npm install

# Rebuild source code immediately in watch mode when changing the source code.
# It opens the `./test` directory, and you may open `-cases.html` to get the list
# of all test cases.
# If you wish to create a test case, run `npm run mktest:help` to learn more.
npm run dev

# Check the correctness of TypeScript code.
npm run checktype

# If intending to build and get all types of the "production" files:
npm run release

Then the “production” files are generated in the dist directory.


Please refer to the contributing document if you wish to debug locally or make pull requests.


Awesome ECharts




ECharts is available under the Apache License V2.

Code of Conduct

Please refer to Apache Code of Conduct.


Deqing Li, Honghui Mei, Yi Shen, Shuang Su, Wenli Zhang, Junting Wang, Ming Zu, Wei Chen. ECharts: A Declarative Framework for Rapid Construction of Web-based Visualization. Visual Informatics, 2018.