Analytical Django Apps. 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.
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.
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 @plotlygraphs/introducing-dash-5ecf7191b503">extensive announcement letter or jump in with the user guide.
See examples of usage in tests/django_project
$ 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. It’s chock-full of examples, pro tips, and guiding principles.
MIT