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# Apache ECharts
<a href="https://echarts.apache.org/">
<img style="vertical-align: top;" src="./asset/logo.png?raw=true" alt="logo" height="50px">
</a>
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 <a href="https://github.com/ecomfe/zrender">zrender</a>, which is a whole new lightweight canvas library.
**[中文官网](https://echarts.apache.org/zh/index.html)** | **[ENGLISH HOMEPAGE](https://echarts.apache.org/en/index.html)**
[](https://github.com/apache/echarts/blob/master/LICENSE) [](https://www.npmjs.com/package/echarts) [](https://www.npmjs.com/package/echarts) [](https://github.com/apache/echarts/graphs/contributors)
[](https://github.com/apache/echarts/actions/workflows/ci.yml)
## Get Apache ECharts
You may choose one of the following methods:
+ Download from the [official website](https://echarts.apache.org/download.html)
+ `npm install echarts --save`
+ CDN: [jsDelivr CDN](https://www.jsdelivr.com/package/npm/echarts?path=dist)
## Docs
+ [Get Started](https://echarts.apache.org/handbook)
+ [API](https://echarts.apache.org/api.html)
+ [Option Manual](https://echarts.apache.org/option.html)
+ [Examples](https://echarts.apache.org/examples)
## Get Help
+ [GitHub Issues](https://github.com/apache/echarts/issues) for bug report and feature requests
+ Email [dev@echarts.apache.org](mailto:dev@echarts.apache.org) for general questions
+ Subscribe to the [mailing list](https://echarts.apache.org/maillist.html) to get updated with the project
## Build
Build echarts source code:
Execute the instructions in the root directory of the echarts:
([Node.js](https://nodejs.org) is required)
```shell
# 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.
## Contribution
Please refer to the [contributing](https://github.com/apache/echarts/blob/master/CONTRIBUTING.md) document if you wish to debug locally or make pull requests.
## Resources
### Awesome ECharts
[https://github.com/ecomfe/awesome-echarts](https://github.com/ecomfe/awesome-echarts)
### Extensions
+ [ECharts GL](https://github.com/ecomfe/echarts-gl) An extension pack of ECharts, which provides 3D plots, globe visualization, and WebGL acceleration.
+ [Liquidfill 水球图](https://github.com/ecomfe/echarts-liquidfill)
+ [Wordcloud 字符云](https://github.com/ecomfe/echarts-wordcloud)
+ [Extension for Baidu Map 百度地图扩展](https://github.com/apache/echarts/tree/master/extension-src/bmap) An extension provides a wrapper of Baidu Map Service SDK.
+ [vue-echarts](https://github.com/ecomfe/vue-echarts) ECharts component for Vue.js
+ [echarts-stat](https://github.com/ecomfe/echarts-stat) Statistics tool for ECharts
## License
ECharts is available under the Apache License V2.
## Code of Conduct
Please refer to [Apache Code of Conduct](https://www.apache.org/foundation/policies/conduct.html).
## 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](https://www.sciencedirect.com/science/article/pii/S2468502X18300068).
Visual Informatics, 2018.
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