ApacheECharts (Incubating)

Clone this repo:
  1. 08bd44a Merge pull request #11752 from deqingli/sankey by Deqing Li · 4 days ago master
  2. 22b6758 fix(sankey): forget to process the special value 0 when getDataParams() in SankeySeries.js by deqingli · 4 days ago
  3. 65a68e3 Merge pull request #11729 from deqingli/graph by Deqing Li · 4 days ago
  4. 0984b09 fix: remove BrushController clamp if drag out of zrender area. And add test case for geo scatter. by SHUANG SU · 4 days ago
  5. 534ad9b test: add visual test. by SHUANG SU · 10 days ago

ECharts

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

中文官网 | ENGLISH HOMEPAGE

Build Status Last npm release

Get ECharts

You may choose one of the following methods:

Docs

Get Help

Build

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.

Contribution

If you wish to debug locally or make pull requests, please refer to contributing document.

Resources

Awesome ECharts

https://github.com/ecomfe/awesome-echarts

Extensions

License

ECharts is available under the Apache License V2.

Code of Conduct

Please refer to Apache Code of Conduct.

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. Visual Informatics, 2018.