Announcing Dash Enterprise 5.2: Jupyter Notebook compatibility, AI integration, and enhanced developer experience.
Drag & drop, crossfiltering, code gen, and chart editors for Dash apps
About Dashboard Engine
Dashboard Engine facilitates rapid Dashboard development from Python datasets. Use Dashboard Engine to:
- Quickly create Dashboard layouts using the built-in drag & drop UIs from structured datasets. Once finished, generate the code and commit it as part of your Dash app project.
- Provide your end-users with a drag & drop interface for creating their own charts and layouts from your dataset.
- Enhance your Dash app with best-in-class high performance visual crossfiltering.
Dashboard Engine turns your dataset into a fully featured Dash app in just a few lines of code.
Dashboard Engine is built with Dash and integrates into existing Dash apps. The layout interactions are prebuilt and provide drag & drop layouts, a prebuilt chart editor auto-filled by your dataset, and automatic visual crossfiltering between the charts in the UI.
See Dash in action.
Sign up for a live demo to learn more about our Dash Enteprise offering.