Create and share interactive reports from Python
Datapane's API makes it easy to build hosted, interactive reports, straight from your existing Python environment.
An API for turning analyses into reports
Sharing Python analyses is painful. Datapane makes it easy by allowing you to turn your existing notebooks and scripts into self-service reporting tools.
An API for data developers
Instead of learning another enterprise tool, build reports from DataFrames and plots in Python, or deploy your script so stakeholders can generate reports dynamically.
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Analyse data in your own tools
Write code and analyse data in your existing environment, such as Jupyter, instead of a being forced to use Yet Another BI Platform.
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2
Create reports in code
Use Datapane's API to build and share reports from DataFrames, Markdown, and visualisation libraries, such as Bokeh and Altair.
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Deploy and share
Want to make your report dynamic? Deploy your script to let stakeholders pass in parameters and run reports in their browser.
- import pandas as pd
- import datapane as dp
- import altair as alt
- import yfinance as yf
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- input_stock = dp.parameters.stock
- data = yf.download(f"msft aapl goog amzn {input_stock}", period="max")
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- df = data['Close'].reset_index().melt('date', var_name='symbol', value_name='price')
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- plot = alt.Chart(df).encode(x='Date', y='symbol', color='price').mark_line().interactive()
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- def render():
- return [dp.Table(df), dp.Plot(plot)]
A self-service interface for stakeholders
Stakeholders can view reports in their browser, or generate and schedule reports dynamically using forms.
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Forms
Enter input parameter to scripts using web forms, in order to generate reports dynamically.
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Embed & Share
Share reports with others, or embed into your internal tools, such as Confluence and Notion, or your own website.
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Schedule (Coming Soon)
Schedule your scripts to run on a cadence, to automatically generate reports for stakeholders.
Pricing
Simple pricing for teams.
Want to use Datapane in your team? Choose one of our paid plans or get in touch.
Up to 20 named users. Securely share analyses with stakeholders in your own hosted instance.
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Private Hosted Instance
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Unlimited Scripts & Reports
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Datapane Branded Embedding
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Warehouse and API Integration
Unlimited users. Deploy and integrate Datapane into your organisation and applications.
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Scheduling (Coming Soon)
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On-premise Deployment
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White-label Embedding
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Granular Access Controls
What can you build with Datapane?
Teams use Datapane to share data science models, product and sales analytics, financial forecasts, and more!
Python excels at product analytics techniques such as market basket analysis, A/B testing, and segmentation. Datapane makes it easy for PMs to self-serve on these analyses.
Train machine learning models on your own infrastructure, and use Datapane to provide an accessible front-end so your whole company can self-serve on data science in their browser.
Use Datapane's free public instance to upload notebooks and scripts and share results with your community. Embed interactive visualisations and explorable datasets into a blog or website.