# echarts
> Apache ECharts is a powerful, interactive charting and data visualization library for browser
Latest version **6.1.0** (published 2026-05-19) · Apache-2.0 license · 0 weekly downloads
## Install
```sh
npm install echarts
pnpm add echarts
yarn add echarts
bun add echarts
```
## Health
**Score 75/100 (B)** — status: active.
Positive: has types; esm support; no vulnerabilities; high maintenance score; high quality score; popular repo; extremely popular.
Warnings: low downloads; large bundle.
## Facts
| | |
|---|---|
| Version | 6.1.0 |
| Published | 2026-05-19 |
| First published | 2015-08-21 |
| Weekly downloads | 0 |
| License | Apache-2.0 |
| TypeScript types | bundled |
| Module format | ESM + CommonJS |
| Dependencies | 2 |
| Unpacked size | 57.5 MB |
| Known vulnerabilities | 0 |
| Install scripts | no |
| GitHub stars | 67309 |
| Maintainers | lang, errorrik, wfsheep, ovilia, plainheart, susiwen8, 100pah, apache-echarts, jiawulin |
| Keywords | echarts, data-visualization, charts, charting-library, visualization, apache, data-viz, canvas, svg |
## Links
- npm: https://www.npmjs.com/package/echarts
- Repository: https://github.com/apache/echarts
- Homepage: https://echarts.apache.org
- Issues: https://github.com/apache/echarts/issues
- npm.io page: https://npm.io/package/echarts
## Dependencies (2)
- [tslib](https://npm.io/package/tslib.md) 2.3.0
- [zrender](https://npm.io/package/zrender.md) 6.1.0
## Alternatives
- [d3-force-3d](https://npm.io/package/d3-force-3d.md) — 1.0M weekly downloads
- [ng2-charts](https://npm.io/package/ng2-charts.md) — 486.8K weekly downloads
- [@arcgis/core](https://npm.io/package/@arcgis/core.md) — 257.8K weekly downloads
- [react-sparklines](https://npm.io/package/react-sparklines.md) — 249.3K weekly downloads
- [react-native-gifted-charts](https://npm.io/package/react-native-gifted-charts.md) — 182.3K weekly downloads
## Recent versions
- 6.1.0 (latest) — 2026-05-19
- 6.1.0-rc.2 (rc) — 2026-05-13
- 6.0.0-beta.1 (beta) — 2025-06-25
- 5.0.0-alpha.2 (alpha) — 2020-08-17
- 6.1.0-rc.1 — 2026-05-12
- 6.0.0 — 2025-07-30
- 6.0.0-rc.2 — 2025-07-24
- 6.0.0-rc.1 — 2025-07-23
- 5.6.0 — 2024-12-28
- 5.6.0-rc.1 — 2024-12-21
- 5.5.1 — 2024-06-27
- 5.5.1-rc.1 — 2024-06-20
- 5.5.0 — 2024-02-18
- 5.5.0-rc.2 — 2024-02-04
- 5.5.0-rc.1 — 2024-01-31
- … 102 more at https://npm.io/package/echarts/versions
## README
# Apache ECharts
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 zrender, which is a whole new lightweight canvas library.
**[中文官网](https://echarts.apache.org/zh/index.html)** | **[ENGLISH HOMEPAGE](https://echarts.apache.org/en/index.html)**
[](https://github.com/apache/echarts/blob/master/LICENSE) [](https://www.npmjs.com/package/echarts) [](https://www.npmjs.com/package/echarts) [](https://github.com/apache/echarts/graphs/contributors)
[](https://github.com/apache/echarts/actions/workflows/ci.yml)
## Get Apache ECharts
You may choose one of the following methods:
+ Download from the [official website](https://echarts.apache.org/download.html)
+ `npm install echarts --save`
+ CDN: [jsDelivr CDN](https://www.jsdelivr.com/package/npm/echarts?path=dist)
## Docs
+ [Get Started](https://echarts.apache.org/handbook)
+ [API](https://echarts.apache.org/api.html)
+ [Option Manual](https://echarts.apache.org/option.html)
+ [Examples](https://echarts.apache.org/examples)
## Get Help
+ [GitHub Issues](https://github.com/apache/echarts/issues) for bug report and feature requests
+ Email [dev@echarts.apache.org](mailto:dev@echarts.apache.org) for general questions
+ Subscribe to the [mailing list](https://echarts.apache.org/maillist.html) to get updated with the project
## Build
Build echarts source code:
Execute the instructions in the root directory of the echarts:
([Node.js](https://nodejs.org) is required)
```shell
# 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 release
```
Then the "production" files are generated in the `dist` directory.
## Contribution
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.
## Resources
### Awesome ECharts
[https://github.com/ecomfe/awesome-echarts](https://github.com/ecomfe/awesome-echarts)
### Extensions
+ [ECharts GL](https://github.com/ecomfe/echarts-gl) An extension pack of ECharts, which provides 3D plots, globe visualization, and WebGL acceleration.
+ [Liquidfill 水球图](https://github.com/ecomfe/echarts-liquidfill)
+ [Wordcloud 字符云](https://github.com/ecomfe/echarts-wordcloud)
+ [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.
+ [vue-echarts](https://github.com/ecomfe/vue-echarts) ECharts component for Vue.js
+ [echarts-stat](https://github.com/ecomfe/echarts-stat) Statistics tool for ECharts
## License
ECharts is available under the Apache License V2.
## Code of Conduct
Please refer to [Apache Code of Conduct](https://www.apache.org/foundation/policies/conduct.html).
## 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](https://www.sciencedirect.com/science/article/pii/S2468502X18300068).
Visual Informatics, 2018.
---
_Source: https://npm.io/package/echarts · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._