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数据分析与数据处理 apachecanvascharting-librarychartsdata-visualizationdata-viz
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19,940
Forks
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Watchers
1,479
Open Issues
Apache-2.0
许可证
TypeScript
语言
2013-04-03
创建时间
2026-10-13
最近更新

项目能做什么

功能强大、交互丰富的浏览器端开源数据可视化与图表库。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
# Apache ECharts

<a href="https://echarts.apache.org/">
    <img style="vertical-align: top;" src="./asset/logo.png?raw=true" alt="logo" height="50px">
</a>

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 <a href="https://github.com/ecomfe/zrender">zrender</a>, 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)**

[![License](https://img.shields.io/npm/l/echarts?color=5470c6)](https://github.com/apache/echarts/blob/master/LICENSE) [![Latest npm release](https://img.shields.io/npm/v/echarts?color=91cc75)](https://www.npmjs.com/package/echarts) [![NPM downloads](https://img.shields.io/npm/dm/echarts.svg?label=npm%20downloads&style=flat&color=fac858)](https://www.npmjs.com/package/echarts) [![Contributors](https://img.shields.io/github/contributors/apache/echarts?color=3ba272)](https://github.com/apache/echarts/graphs/contributors)

[![Build Status](https://github.com/apache/echarts/actions/workflows/ci.yml/badge.svg)](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/e
阅读完整原文

商业机会分析 规则生成(AI 未配置)

综合评分 62.8 分。该项目在“个人可实施性”维度得 57 分,“付费可能性”维度得 60.0 分,差异化空间 70.0 分(评分依据见评分卡)。

将 echarts 改造为垂直场景 SaaS

产品构想保留核心能力,针对某一类用户(如某行业团队)做托管版,收取月费。
目标用户有该需求的中小团队 / 独立站长
难度/周期中 · 2~4 周(MVP)
收费模式订阅制(如 ¥29~99/月)
竞争风险需验证付费意愿;注意许可证合规
依据 数据支持的判断:许可证与关键词显示存在商用与付费场景

面向细分需求的二次开发产品

产品构想基于 echarts 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断

封装为在线小工具或 API 服务

产品构想把项目最常用的一个功能做成网页小工具,靠流量变现或按量计费。
目标用户搜索引擎带来的长尾用户
难度/周期低 · 1~3 周
收费模式免费引流 + 增值功能 / API 按量计费
竞争风险同质化竞争,需做好 SEO
依据 AI 推测:基于技术栈与部署特征的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

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项目优势与风险

技术成熟度创建于 2013-04-03,近 30 天仍在推送,发布过 100 个 Release
社区活跃Star 67,703 / Fork 19,940 / Issue 1,479(数据支持,可自行核实)
许可证Apache-2.0
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

快速开始(以仓库 README 为准)
git clone https://github.com/apache/echarts.git
cd echarts
# 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
阅读原仓库文档
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。