Build internal data products using Python
Stop wrestling with JS, web design, and infrastructure. Start building apps, reports, and dashboards with 100% Python.
Helping 2,000+ companies ship faster data products more quickly.









Open-source
An open-source toolkit for building data products
Datapane is a batteries-included framework which provides everything you need to build data products using 100% Python, from reports and dashboards to full-stack applications.
Apps
How quickly can you ship an internal tool?
Build data web apps, with blocks for plots, tables, forms, grid layouts, and more.
5 lines of Python. No JS, CSS, or HTML in sight.
5 lines of Python. No JS, CSS, or HTML in sight.
Blocks & Reports
Embed data components and reports in your product
Programmatically embed individual data-centric blocks into your own product, or export and share 100% standalone HTML reports.

Loved by developers and data teams
“Datapane allows us to use the full power of Python to build things we could never create in a UI-first tool in a fraction of the time.”
Matthew Fein
People Scientist, Oscar
“Datapane makes it easy to create beautiful interactive reports to instrument our models and data.”
Thomas Bouche
Data Scientist, MAIF
“Datapane is a speedy way share with non-technical people. It’s a cool tool that plugs right into our data stack.”
Marian Andrecki
ML Engineer, Proportunity
Gallery
What can you build with Datapane?

App
Stock Ticker Analysis
Pull live data for a stock ticker, generate some useful statistics, and plot it using Plotly.
Try live example ->

App
Dataset Scatterplotter
Choose a dataset (or upload your own) and interactively plot the columns using a scatterplot.
Try live example ->

App
Mapping Airports
Use pandas and Altair to interatively visualize airports across the US.
Try live example ->
Build a data app 10 seconds
Get started building reports, dashboards, and apps using Datapane's open-source toolkit.