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

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  1. 9bcded1 Merge pull request #17132 from apache/feat/pie-coordinate-system by Zhongxiang Wang · 32 hours ago master
  2. 62ebcb9 Merge pull request #17322 from apache/fix-13154 by Zhongxiang Wang · 7 days ago
  3. 63e05ae Merge pull request #17237 from jiawulin001/issue#17228 by Wenli Zhang · 7 days ago
  4. a29d37c Merge pull request #16985 from MeetzhDing/fix-15944 by Wenli Zhang · 7 days ago
  5. abd40cc Merge pull request #17482 from Liangism/fix-17473 by Zhongxiang Wang · 7 days ago

Apache ECharts

Apache ECharts is a free, powerful charting and visualization library offering an easy way of adding 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:

Docs

Get Help

Build

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.
npm run dev

# Check 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.

Contribution

If you wish to debug locally or make pull requests, please refer to the contributing document.

Resources

Awesome ECharts

https://github.com/ecomfe/awesome-echarts

Extensions

License

ECharts is available under the Apache License V2.

Code of Conduct

Please refer to Apache Code of Conduct.

Paper

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.