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Create data science apps from Jupyter.

Datapane's open-source framework lets you build and share full-stack web apps from your Python analysis.

Native Jupyter support

Build data web apps from plots, data, and functions inside any Python environment.

Dead simple to deploy

Deploy your data web apps with your favorite web server or hosting platform.

Built for sharing

Export standalone reports as files to share over Slack or email. No account required.
Datapane Code Example

Make your data analysis impactful.

Python analyses are hard to share

Python and Jupyter are great for analyzing, but aren't accessible to the people you need to share insights with.

Make an impact with data apps

Analyze and visualize data with the tools you love, and build web apps your stakeholders can use in seconds.
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“Datapane’s open-source framework allows us to use the full power of Python to create HR analytics reports for stakeholders. We build things we could never create in a UI-first tool, and can automate the whole process in a fraction of the time.”

Matthew Fein
People Scientist, Oscar Health

“We use Datapane as the front-end for our machine learning monitoring framework, Eurybia. It makes it easy to create beautiful interactive reports to instrument our models and data.”

Thomas Bouche
Data Scientist, MAIF

“Datapane is a speedy way to generate complex visualizations, and share these with non-technical people. It’s a cool tool that plugs right into our ML stack.”

Marian Andrecki
Machine Learning Engineer, Proportunity
Community

Join the community for serverless data apps

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