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 onzrender,which is a whole new lightweight canvas library.
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You may choose one of the following methods:
- Download from theofficial website
npm install echarts --save- CDN:jsDelivr CDN
- GitHub Issuesfor bug report and feature requests
- Email[email protected]for general questions
- Subscribe to themailing listto get updated with the project
Build echarts source code:
Execute the instructions in the root directory of the echarts: (Node.jsis required)
#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 releaseThen the "production" files are generated in thedistdirectory.
Please refer to thecontributingdocument if you wish to debug locally or make pull requests.
https://github.com/ecomfe/awesome-echarts
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vue-echartsECharts component for Vue.js
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echarts-statStatistics tool for ECharts
ECharts is available under the Apache License V2.
Please refer toApache 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.
