The modern data science workbench.

Cloud notebooks. Connected reports. End-to-end traceability.
Trace any claim back to its source data. No exports. No screenshots. No duct tape.

Python
R (coming soon)
Q4 Sales Analysis
In [3]
import margin
df = margin.load("q4_sales")
df.groupby('region').sum().plot()
Out [3]
North
$412K
South
$310K
East
$358K
West
$261K

Every claim is traceable

Share a report. Stakeholders click any number to see the code that produced it and the data behind it.

Analysis doesn't end when you close the notebook. It ends when someone trusts your findings enough to act. But in the handoff, context disappears—charts become images, numbers become static text, and "where did this come from?" becomes unanswerable.

Margin keeps everything connected. Write code in a notebook. Promote results into a clean brief. Share a link. Every number traces back to the cell that produced it.

Your work becomes shareable by default. A portfolio you can point to in interviews, ideas you can publish to the world, a body of work that shows how you think.

Trusted by data scientists at

Meta
Google
Microsoft
University of Washington

Pricing that grows with you

Start free. Upgrade when you need more room.

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Start analyzing.

You shouldn't need four tools and a screenshots folder to share an analysis.