A Python framework for building reactive web-apps. Developed by Plotly.
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It’s fork of Plotly [Dash](https://github.com/plotly/dash).
Here’s [a example of view of Django Dash App](https://gist.github.com/pikhovkin/6ec23d425b12b720651942fd6a5cdf13) ([original example with Flask](https://gist.github.com/chriddyp/3d2454905d8f01886d651f207e2419f0)) 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.
Dash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example ([original example with Flask](https://gist.github.com/chriddyp/9b2b3e8a6c67697279d3724dce5dab3c)) with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.
![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.
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).
See examples of usage in tests/django_project
`bash $ pip install dj-plotly-dash[all] $ pip install "dash_core_components>=0.40.2" --no-deps $ pip install "dash_html_components>=0.14.0" --no-deps `
View the [Dash User Guide](https://plot.ly/dash). It’s chock-full of examples, pro tips, and guiding principles.
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