A Python framework for building reactive web-apps. Developed by Plotly.
Project description
# Dash
#### Dash is a Python framework for building analytical web applications. No JavaScript required.
> 📢 Announcement!
> Registration is open for a 2 day, Dash master class in Washington DC, June 9-10.
> [Register online here](https://plotcon.plot.ly/dash-master-class/)
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.
[](https://circleci.com/gh/plotly/dash)
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)).
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 uses [Plotly.js](https://github.com/plotly/plotly.js) for charting. Over 35 chart types are supported, including maps.
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.
Plotly offers an enterprise-ready deployment and permissioning server teams that are working with Dash apps behind-the-firewall. [Learn more about Dash On-Premises](https://plot.ly/products/on-premise).
### Contact and Support
See [https://plot.ly/dash/support](https://plot.ly/dash/support) for ways to get in touch.
***
#### Dash is a Python framework for building analytical web applications. No JavaScript required.
> 📢 Announcement!
> Registration is open for a 2 day, Dash master class in Washington DC, June 9-10.
> [Register online here](https://plotcon.plot.ly/dash-master-class/)
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.
[](https://circleci.com/gh/plotly/dash)
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)).
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 uses [Plotly.js](https://github.com/plotly/plotly.js) for charting. Over 35 chart types are supported, including maps.
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.
Plotly offers an enterprise-ready deployment and permissioning server teams that are working with Dash apps behind-the-firewall. [Learn more about Dash On-Premises](https://plot.ly/products/on-premise).
### Contact and Support
See [https://plot.ly/dash/support](https://plot.ly/dash/support) for ways to get in touch.
***
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