> For the complete documentation index, see [llms.txt](https://huataihuang.gitbook.io/cloud-atlas-draft/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://huataihuang.gitbook.io/cloud-atlas-draft/develop/python/flask/dash.md).

# 基于Flask的Dashboard - Dash

> [Dash is a Python framework for building analytical web applications. No JavaScript required.](https://github.com/plotly/dash)
>
> [plotly](https://plot.ly/)是一家采用开源技术提供数据可视化平台的公司，dash是该公司开发的基于Plotly.js, React 和 Flask的包含下拉框，边栏，图形等数据分析Python代码。

[Introducing Dash: Create Reactive Web Apps in pure Python](https://medium.com/@plotlygraphs/introducing-dash-5ecf7191b503)介绍了这个开源的工具：

```bash
pip install dash
```

开发代码非常简单，可参考[Deploying Dash Apps](https://plot.ly/dash/deployment)，从相关文档来看，是目前最为完善的Python Dashboard框架。

在[plotly](https://plot.ly/)提供了详细的介绍，以及商业版本使用的价格。

> Django也有一个平台[django-dash](https://github.com/barseghyanartur/django-dash)实现类似功能，本质上都是集成D3.js。但是，比Flask平台的[Dash](https://plot.ly/dash/)完成度差距很大。

## 参考

* [Is there something similar to R Shiny for Python users in the scientific community?](https://www.quora.com/Is-there-something-similar-to-R-Shiny-for-Python-users-in-the-scientific-community)
* [Introducing Dash](https://medium.com/@plotlygraphs/introducing-dash-5ecf7191b503)


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