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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 an easy way of adding 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.
- 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](https://github.com/apache/echarts/blob/master/CONTRIBUTING.md) document.
- ## 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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