Create and publish interactive reports in Python
Datapane is an open source framework which makes it easy to turn scripts and notebooks into interactive reports.
Infrastructure for sharing Python data analyses.
Sharing Python analyses is painful. Datapane makes it easy: build reports in Python and deploy scripts and notebooks as self-service reporting tools.
Build and publish reports in Python
Turn DataFrames and plots into interactive components in beautiful reports. Publish them to Datapane where they can be shared and embedded.
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1
Analyse data in your own tools
Write code and analyse data in your own editor or environment, whether its Jupyter, Colab, or Airflow.
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2
Build reports in code
Datapane's framework makes it easy to create rich reports from DataFrames, Markdown, and visualisation libraries, such as Altair.
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3
Publish and share
Export as standalone HTML files, or publish reports to Datapane.com for free, where they can be shared and embedded.
A Report on Datapane
import pandas as pd
import altair as alt
import datapane as dp
df = pd.read_csv('https://query1.finance.yahoo.com/v7/finance/download/GOOG?period2=1585222905&interval=1mo&events=history')
chart = alt.Chart(df).encode(
x='Date:T',
y='Open'
).mark_line().interactive()
r = dp.Report(dp.Table(df), dp.Plot(chart))
r.publish(name='stock_report', open=True)
- import pandas as pd
- import altair as alt
- import datapane as dp
-
- df = pd.read_csv('https://query1.finance.yahoo.com/v7/finance/download/GOOG?period2=1585222905&interval=1mo&events=history')
-
- chart = alt.Chart(df).encode(
- x='Date:T',
- y='Open'
- ).mark_line().interactive()
-
- r = dp.Report(dp.Table(df), dp.Plot(chart))
- r.publish(name='stock_report', open=True)
Deploy your script or notebook
Want to make it easy for others to run your script or notebook? Once you've added the Datapane library to your script or notebook, it can be run with parameters on the web.
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Forms
Expose your scripts using web forms, with rich inputs such as dates, multi-select, and ranges, which are passed into your code at runtime.
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Connect and Integrate
Include your own Python libraries, folders, models, and SQL, and connect your scripts to live data sources, such as APIs or databases.
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API-first
Everything in Datapane is an API. Deploy scripts and generate reports from your server, GitHub, Airflow, or CI system.
Free for individuals
Get started with the open source library, and use Datapane.com as a free publishing platform for your reports and scripts.
Public Platform
Want to share plots, visualisations, and datasets from Python? Publish Datapane reports online for free, or deploy your Jupyter Notebooks and Python scripts to let others people run them with parameters.
What's included
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Publish reports created with Datapane
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Deploy Python scripts and notebooks
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Run with interactive web forms
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Embed into social platforms, like Reddit and Medium
Teams
Datapane for Teams
Instead of making you use another clunky BI tool, Datapane lets you use Python and SQL in your own environment for BI, reporting, and self-service analytics.
Ready to get started?
Get in touch or create a free account.
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