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# Dash

#### Dash is a Python framework for building analytical web applications. No JavaScript required.

Build on top of Plotly.js, React, and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical python code.

[![CircleCI](https://img.shields.io/circleci/project/github/plotly/dash/master.svg)](https://circleci.com/gh/plotly/dash)
[![GitHub](https://img.shields.io/github/license/plotly/dash.svg?color=dark-green)](https://github.com/plotly/dash/blob/master/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/dash.svg?color=dark-green)](https://pypi.org/project/dash/)
Expand All @@ -12,47 +8,38 @@ Build on top of Plotly.js, React, and Flask, Dash ties modern UI elements like d
[![LGTM Alerts](https://img.shields.io/lgtm/alerts/g/plotly/dash.svg)](https://lgtm.com/projects/g/plotly/dash/alerts)
[![LGTM Grade](https://img.shields.io/lgtm/grade/python/g/plotly/dash.svg)](https://lgtm.com/projects/g/plotly/dash/context:python)

[ONLINE DOCUMENTATION](https://dash.plot.ly/getting-started)

[OFFLINE (PDF) DOCUMENTATION](https://github.com/plotly/dash-docs/blob/master/pdf-docs/Dash_User_Guide_and_Documentation.pdf)

[DASH DOCS ON HEROKU](http://dash-docs.herokuapp.com/) (for corporate networks that cannot access plot.ly)
#### *Dash is a Python framework for building analytical web applications. No JavaScript required*.

Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical python code. Read our tutorial proudly crafted ❤️ as a dash app itself.

Here’s a 43-line example of a Dash App that ties a Dropdown to a D3.js Plotly Graph.
As the user selects a value in the Dropdown, the application code dynamically
exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code ([view the source](https://gist.github.com/chriddyp/3d2454905d8f01886d651f207e2419f0)).
- [User Guide](https://dash.plot.ly/getting-started)

![Sample Dash App](https://user-images.githubusercontent.com/1280389/30086128-9bb4a28e-9267-11e7-8fe4-bbac7d53f2b0.gif)
- [Offline (PDF) Documentation](https://github.com/plotly/dash-docs/blob/master/pdf-docs/Dash_User_Guide_and_Documentation.pdf)

Dash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
- [Dash Docs on Heroku](http://dash-docs.herokuapp.com/) (for corporate networks that cannot access plot.ly)

![crossfiltering dash app](https://user-images.githubusercontent.com/1280389/30086123-97c58bde-9267-11e7-98a0-7f626de5199a.gif)

Dash uses [Plotly.js](https://github.com/plotly/plotly.js) for charting. Over 35 chart types are supported, including maps.
### What Dash can do ?

![Dash app with Mapbox map showing walmart store openings](https://user-images.githubusercontent.com/1280389/30086299-768509d0-9268-11e7-8e6b-626ac9ca512c.gif)

Dash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash app that's styled to look like a PDF report.

![goldman sachs report](https://user-images.githubusercontent.com/1280389/30086373-d076a372-9268-11e7-99df-d84fa69f3e20.gif)
| App | Description |
|:--- | :--- |
| ![Sample Dash App](https://user-images.githubusercontent.com/1280389/30086128-9bb4a28e-9267-11e7-8fe4-bbac7d53f2b0.gif) | Here’s a simple example of a Dash App that ties a Dropdown to a D3.js Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just **43** lines of code ([view the source](https://gist.github.com/chriddyp/3d2454905d8f01886d651f207e2419f0)). |
|![crossfiltering dash app](https://user-images.githubusercontent.com/1280389/30086123-97c58bde-9267-11e7-98a0-7f626de5199a.gif)|Dash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.|
| ![Dash app with Mapbox map showing walmart store openings](https://user-images.githubusercontent.com/1280389/30086299-768509d0-9268-11e7-8e6b-626ac9ca512c.gif)| Dash uses [Plotly.js](https://github.com/plotly/plotly.js) for charting. Over 35 chart types are supported, including maps. |
|![goldman sachs report](https://user-images.githubusercontent.com/1280389/30086373-d076a372-9268-11e7-99df-d84fa69f3e20.gif)| Dash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash app that's styled to look like a PDF report. |

To learn more about Dash, read the [extensive announcement letter](https://medium.com/@plotlygraphs/introducing-dash-5ecf7191b503) or [jump in with the user guide](https://plot.ly/dash).

### Documentation

View the [Dash User Guide](https://plot.ly/dash). It's chock-full of examples, pro tips, and guiding principles.

### Licensing

Dash is licensed under MIT.
### Contact and Support

For companies with software budgets, Plotly offers [Dash Deployment Server](https://plot.ly/dash/pricing/), an enterprise-ready platform for hosting Dash apps in a private cloud or on your own servers. [Learn more about Dash Deployment Server](https://plot.ly/dash/pricing/).
For companies with software budgets, Plotly offers

### Contact and Support
- [**Dash Deployment Server**](https://plot.ly/products/dash/) speeds your time-to-delivery while providing the right resources, security, and scalability you need to deliver production-quality apps
- [**Dash Design Kit**](https://plot.ly/products/dash/) makes your internal dashboard awesome without expertise in Javascript & CSS.
- [**Snapshot Engine**](https://plot.ly/products/dash/) seamlessly links your analytics and reporting workflows together, giving you a fast way to generate interactive reports of just the data you need

See [https://plot.ly/dash/support](https://plot.ly/dash/support) for ways to get in touch.

***

![image](https://user-images.githubusercontent.com/1280389/30084008-9fbc68fc-925e-11e7-891c-18a9b8f6ac6b.png)