A powerful, interactive charting and visualization library for browser

Clone this repo:
  1. b9fc3f9 Merge pull request #13015 from apache/fix-timeline-control by Yi Shen · 11 days ago master
  2. f3aec1e fix(timeline): fix a bug which may bring a crash of browser when using dataURI as icon. by plainheart · 12 days ago
  3. c1e3a78 Merge pull request #12997 from SnailSword/master by Yi Shen · 2 weeks ago
  4. 75b6506 fix(dataSample): negative size by saniac · 2 weeks ago
  5. 08f2033 fix: fix email link in README. by Zhongxiang.Wang · 3 weeks ago


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


Build Status Last npm release

Get ECharts

You may choose one of the following methods:


Get Help


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 the 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.


Awesome ECharts




ECharts is available under the Apache License V2.

Code of Conduct

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.