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.
Now ECharts is an incubator project of Apache Software Foundation. Please check its incubator status here
You may choose one of the following methods:
- Download from Official Website in 中文下载页
- Download from Official Website in English
npm install echarts --save- CDN: jsDelivr CDN
ECharts-GL is an extension pack of ECharts, which provides 3D plots, globe visualization and WebGL acceleration.
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Get from https://github.com/ecomfe/echarts-gl
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npm install echarts-gl --save
- GitHub Issues for bug report and feature requests
- Email dev@echarts.apache.org for general questions
- Subscribe mailing list to get updated with the project
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
# If intending to build and get all types of the "production" files:
npm run release
# The same as `node build/build.js --release`
# If only intending to get `dist/echarts.js`, which is usually
# enough in dev or running the tests:
npm run build
# The same as `node build/build.js`
# Get the same "production" files as `node build/build.js`, while
# watching the editing of the source code. Usually used in dev.
npm run watch
# The same as `node build/build.js -w`
# Check the manual:
npm run help
# The same as `node build/build.js --help`Then the "production" files are generated in dist directory.
More custom build approaches can be checked in this tutorial: Create Custom Build of ECharts please.
If you wish to debug locally, or make pull requests, please refer to contributing document.
https://github.com/ecomfe/awesome-echarts
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vue-echarts ECharts component for Vue.js
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echarts-stat Statistics tool for ECharts
ECharts is available under the Apache License V2.
Please refer to Apache Code of Conduct.
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.