{"id":15025795,"url":"https://github.com/running-elephant/datart","last_synced_at":"2025-05-14T02:04:55.979Z","repository":{"id":36954079,"uuid":"417448864","full_name":"running-elephant/datart","owner":"running-elephant","description":"Datart is a next generation Data Visualization Open 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**新一代数据可视化开放平台，支持报表、仪表板、大屏、分析和可视化数据应用的敏捷构建。**\n\n## What is datart?\ndatart 是新一代数据可视化开放平台，支持各类企业数据可视化场景需求，如创建和使用报表、仪表板和大屏，进行可视化数据分析，构建可视化数据应用等。由原 davinci 主创团队出品，datart 更加开放、可塑和智能，并在数据与艺术之间寻求最佳平衡。\n\n### 设计理念 Design Philosophy\n#### **开放 Openness**\nBI产品作为标准化产品成熟度已经很高，但大多数BI产品为封闭系统，即用户只能使用BI产品内置提供的数据源、数据图表、可视化元素等。我们认为数据可视化平台可以在其系统边界范围内，在多个层面提供开放可扩展能力，新的扩展支持可以通过即插即用方式安装、更新或卸载。因此 datart 试图建立起一套标准化的 **`数据可视化开放平台`** 体系，标准化和开放性体现在以下方面：\n * ***流程标准化***：基于 Source \u003e View \u003e Chart \u003e Visualization 建立 **`受管控的数据可视化应用`** （Managed VizApp）开发、发布和使用的标准化流程\n * ***交互标准化***：Visualization 支持权限可控的标准化交互能力，如筛选、钻取、联动、跳转、弹窗、分享、下载、发送等\n * ***插件标准化***：在 Source、Chart、Visualization 层提供标准化可插拔扩展接口或SDK规范，支持开放扩展或按需定制\n\n#### **可塑 Integrability**\ndatart 可作为独立平台使用，但不仅限于此，为了更好支持快速构建定制化数据应用系统，datart 可以很容易被整合、被内嵌至其他三方系统，承担数据可视化部分功能。通过 datart 的登录对接能力、权限对接能力、Source 层对接能力和 Visualization 层分享、SDK等能力，用户可以基于 datart 平台对接或二开以快速满足业务系统定制化需求。\n\n#### **智能 Augmented Analytics**\n传统BI产品只能对已有数据进行勘察，而现代BI产品更加重视对数据延展洞见，以形成完整数据分析洞察能力，或[增强分析](https://www.gartner.com/en/information-technology/glossary/augmented-analytics)能力。datart 会在平台层面提供可扩展数据增强分析能力，基于数据通过可视化方式不仅回答 What，并且可以回答 Why。\n\n### 功能特性 Features\n![](https://running-elephant.github.io/datart-docs/images/about/datart-vs-davinci.png)\n\n### 在线体验 Demo\n\u003e [http://datart-demo.retech.cc](http://datart-demo.retech.cc)\n\u003e \n\u003e 用户名：demo\n\u003e \n\u003e 密码：123456\n\n### 架构模块 Architecture\n![](https://running-elephant.github.io/datart-docs/images/about/architecture.png)\n\n## Document\n### 如何部署 Deployment\n1.新手上路 参见 [Deployment](./Deployment.md)\n\n2.老司机 参见 [Deployment](https://running-elephant.github.io/datart-docs/docs/)\n### 快速开始 Quick Start\n参见 [Quick Start Guide](https://running-elephant.github.io/datart-docs/docs/first-visualization.html)\n### 用户文档 User Document\n参见 [User Guide](https://running-elephant.github.io/datart-docs/docs/source.html)\n\n### 最新版本 Latest Release\n参见  [Latest Release](https://github.com/running-elephant/datart/releases)\n\n## Community\n### 社区支持 Support\n##### 反馈问题\n平台问题可以查看 [Issue](https://github.com/running-elephant/datart/issues)，提交新Issue请参考 [Issue描述规范](https://github.com/running-elephant/datart/tree/master/.github/ISSUE_TEMPLATE)\n##### 交流讨论\n可以加入社区微信群参与讨论\n![](https://running-elephant.github.io/datart-docs/images/about/wechat-group.jpeg)\n\n#### 插件示例仓库\n[示例仓库 v1.0.0](https://github.com/running-elephant/datart-extension-charts)\n\n### 参与贡献 Contributing\n非常欢迎和感谢参与贡献，如何参与可参见 [Contributing]()\n\n### 谁在使用 Adopters\n参见 [Adopters](https://github.com/running-elephant/datart/issues/137)\n\n## License\ndatart is under the Apache 2.0 license. See the [LICENSE](https://github.com/running-elephant/datart/blob/master/LICENSE) file for details.\n","funding_links":[],"categories":["Uncategorized","TypeScript","数据科学"],"sub_categories":["Uncategorized"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frunning-elephant%2Fdatart","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frunning-elephant%2Fdatart","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frunning-elephant%2Fdatart/lists"}