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Share a data app from Jupyter in 3 simple steps

Install Datapane's open-source library in any Python environment.

pip
$ pip3 install datapane
conda
$ conda install -c conda-forge "datapane>=0.15.4"

Create a free account and run the following code to automatically authenticate your Notebook's environment with Datapane Cloud.

  In [1]
  
import datapane as dp

dp.login()
Successfully logged into https://cloud.datapane.com

Create a data app from the plots, data, and text in your Jupyter notebook. Host it for free on Datapane Cloud and share with your team.

  In [2]
  
app = dp.App(blocks=dp.cells_to_blocks(Out))
app.upload(name='My first app', open=True)
Converting cells to blocks...
App successfully uploaded. View and share your app here.
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Install Datapane from pip or conda
Build a data app in <10 lines of code
Share with your team in seconds
Datapane Code Example

Analyze in Python, share with Datapane

Python and Jupyter is great for analysis, bad for sharing

Python and Jupyter is the most powerful way to analyze data, but it's not accessible to the people you need to share insights with.

Wow stakeholders with beautiful apps which showcase insights

With Datapane, you can analyze data using the libraries and tools you love, and turn them into beautiful apps your stakeholders can use in seconds.
Community

Join a passionate community of app builders

Datapane is used by passionate individuals and forward-thinking companies to build data apps in a code-first, open-source way. Join our Discord to say hi.
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Apps viewed
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Apps created
Serverless

Unique architecture for exceptional data apps

Datapane's serverless architecture means you can build data apps from inside the tools you love without thinking about infrastructure and hosting.

Build apps from Jupyter, Airflow, or Spark.

Dynamic 100% serverless components

No infrastructure or complex back-end.

Export as super-fast, pre-rendered HTML.

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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
Blocks & Components

A complete set of building blocks for data apps

DataTables

Turn pandas DataFrames into interactive DataTables

Plots

Add plots from your favorite libraries, like Plotly and Altair
Learn more

UI components

Layout your apps with dropdowns, tabs, and select

Python functions

Use interactive forms and backend functions to create dynamic apps
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Get started in 10 seconds

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