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99 lines
4.1 KiB
99 lines
4.1 KiB
# Apache ECharts
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<a href="https://echarts.apache.org/">
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<img style="vertical-align: top;" src="./asset/logo.png?raw=true" alt="logo" height="50px">
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</a>
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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.
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**[中文官网](https://echarts.apache.org/zh/index.html)** | **[ENGLISH HOMEPAGE](https://echarts.apache.org/en/index.html)**
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[![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)
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[![Build Status](https://github.com/apache/echarts/actions/workflows/ci.yml/badge.svg)](https://github.com/apache/echarts/actions/workflows/ci.yml)
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## Get Apache ECharts
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You may choose one of the following methods:
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+ Download from the [official website](https://echarts.apache.org/download.html)
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+ `npm install echarts --save`
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+ CDN: [jsDelivr CDN](https://www.jsdelivr.com/package/npm/echarts?path=dist)
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## Docs
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+ [Get Started](https://echarts.apache.org/handbook)
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+ [API](https://echarts.apache.org/api.html)
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+ [Option Manual](https://echarts.apache.org/option.html)
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+ [Examples](https://echarts.apache.org/examples)
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## Get Help
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+ [GitHub Issues](https://github.com/apache/echarts/issues) for bug report and feature requests
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+ Email [dev@echarts.apache.org](mailto:dev@echarts.apache.org) for general questions
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+ Subscribe to the [mailing list](https://echarts.apache.org/maillist.html) to get updated with the project
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## Build
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Build echarts source code:
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Execute the instructions in the root directory of the echarts:
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([Node.js](https://nodejs.org) is required)
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```shell
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# Install the dependencies from NPM:
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npm install
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# Rebuild source code immediately in watch mode when changing the source code.
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# It opens the `./test` directory, and you may open `-cases.html` to get the list
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# of all test cases.
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# If you wish to create a test case, run `npm run mktest:help` to learn more.
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npm run dev
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# Check the correctness of TypeScript code.
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npm run checktype
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# If intending to build and get all types of the "production" files:
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npm run release
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```
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Then the "production" files are generated in the `dist` directory.
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## Contribution
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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.
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## Resources
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### Awesome ECharts
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[https://github.com/ecomfe/awesome-echarts](https://github.com/ecomfe/awesome-echarts)
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### Extensions
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+ [ECharts GL](https://github.com/ecomfe/echarts-gl) An extension pack of ECharts, which provides 3D plots, globe visualization, and WebGL acceleration.
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+ [Liquidfill 水球图](https://github.com/ecomfe/echarts-liquidfill)
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+ [Wordcloud 字符云](https://github.com/ecomfe/echarts-wordcloud)
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+ [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.
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+ [vue-echarts](https://github.com/ecomfe/vue-echarts) ECharts component for Vue.js
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+ [echarts-stat](https://github.com/ecomfe/echarts-stat) Statistics tool for ECharts
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## License
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ECharts is available under the Apache License V2.
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## Code of Conduct
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Please refer to [Apache Code of Conduct](https://www.apache.org/foundation/policies/conduct.html).
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## Paper
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Deqing Li, Honghui Mei, Yi Shen, Shuang Su, Wenli Zhang, Junting Wang, Ming Zu, Wei Chen.
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[ECharts: A Declarative Framework for Rapid Construction of Web-based Visualization](https://www.sciencedirect.com/science/article/pii/S2468502X18300068).
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Visual Informatics, 2018.
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