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.
Trending Public Reports
The top Python reports being created by Datapane's community.
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
dataset = pd.read_csv('https://covid.ourworldindata.org/data/owid-covid-data.csv')
df = dataset.groupby(['continent', 'date'])['new_cases_smoothed_per_million'].mean().reset_index()
plot = alt.Chart(df).mark_area(opacity=0.4, stroke='black').encode(
x='date:T',
y=alt.Y('new_cases_smoothed_per_million:Q', stack=None),
color=alt.Color('continent:N', scale=alt.Scale(scheme='set1')),
tooltip='continent:N'
).interactive().properties(width='container')
dp.Report(
dp.Plot(plot),
dp.Table(df)
).publish(name='covid_report', open=True)
- import pandas as pd
- import altair as alt
- import datapane as dp
-
- dataset = pd.read_csv('https://covid.ourworldindata.org/data/owid-covid-data.csv')
- df = dataset.groupby(['continent', 'date'])['new_cases_smoothed_per_million'].mean().reset_index()
-
- plot = alt.Chart(df).mark_area(opacity=0.4, stroke='black').encode(
- x='date:T',
- y=alt.Y('new_cases_smoothed_per_million:Q', stack=None),
- color=alt.Color('continent:N', scale=alt.Scale(scheme='set1')),
- tooltip='continent:N'
- ).interactive().properties(width='container')
-
- dp.Report(
- dp.Plot(plot),
- dp.Table(df)
- ).publish(name='covid_report', open=True)
Datapane Public
Get started with the open source library, and use Datapane.com as a free publishing platform for your reports, datasets, and visualizations.
Public Platform
Want to share plots, visualisations, and datasets from Python? Publish Datapane reports online for free, and share them with your community.
What's included
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Publish reports created with Datapane library
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Collaborate and share with Datapane community
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Share interactive reports with your team or community
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Embed into social platforms, like Reddit and Medium
Datapane Teams
The end-to-end platform for Python analytics and reporting. Securely share Python reports, and deploy scripts and notebooks as self-service reporting tools.
Automated reporting with Python & SQL
Build flexible self-service reporting tools in Python which run in the cloud and can be used by everyone in the organization.
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Cloud Jupyter Notebook & Script Runner
Turn Python scripts into reporting tools. 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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Self-service Forms
Expose your scripts using web forms, with rich inputs such as dates, multi-select, and ranges, to allow self-service report generation.
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Scheduling and Automation
Create realtime reports by scheduling your script to run automatically, or trigger report generation through the tools you already use, like Slack, Teams, and GitHub.
Secure, managed report sharing
Control access to your reports with organizational sharing, or share reports with third-parties using signed tokens.
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Access Controls
Share reports securely, with versioning and authentication, or share with clients using secure signed URLs.
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Embedding
Embed reports into your own product, or into knowledge platforms like Confluence, Salesforce, Teams, and Notion.
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Secure Integrations
Use Datapane's Blob and Secret Variables APIs to manage, authenticate, and version your credentials, models, and datasets.
Want to use Datapane in your company?
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