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https://github.com/apache/echarts

Apache ECharts is a powerful, interactive charting and data visualization library for browser
https://github.com/apache/echarts

apache canvas charting-library charts data-visualization data-viz echarts svg visualization

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

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README 

        
# Apache ECharts





    logo




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.



**[中文官网](https://echarts.apache.org/zh/index.html)** | **[ENGLISH HOMEPAGE](https://echarts.apache.org/en/index.html)**



[![License](https://img.shields.io/npm/l/echarts?color=5470c6)](https://github.com/apache/echarts/blob/master/LICENSE) [![Latest npm release](https://img.shields.io/npm/v/echarts?color=91cc75)](https://www.npmjs.com/package/echarts) [![NPM downloads](https://img.shields.io/npm/dm/echarts.svg?label=npm%20downloads&style=flat&color=fac858)](https://www.npmjs.com/package/echarts) [![Contributors](https://img.shields.io/github/contributors/apache/echarts?color=3ba272)](https://github.com/apache/echarts/graphs/contributors)



[![Build Status](https://github.com/apache/echarts/actions/workflows/ci.yml/badge.svg)](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 [[email protected]](mailto:[email protected]) 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.