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A Python framework for building reactive web-apps. Developed by Plotly.

Project description

# dj-plotly-dash

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

It’s fork of Plotly [Dash](

Here’s [a example of view of Django Dash App]( ([original example with Flask]( 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.

![Sample Dash App](

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]( 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](

Dash uses [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]( or [jump in with the user guide](

### Usage

See examples of usage in tests/django_project

### Installation

`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 `

### Documentation

View the [Dash User Guide]( It’s chock-full of examples, pro tips, and guiding principles.

### License


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