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PySyft

Lets researchers analyse private data held by someone else without the data ever leaving its owner.

New this week

What it does

PySyft is a Python tool for privacy-preserving data science. A data scientist writes an analysis and sends it to the data owner. The owner reviews it, runs it on their own machine, and shares back only the approved results.

The data scientist can first explore a fake sample of the data, then submit the real job. Owners must approve each collaborator and each result. It works through cloud storage that organisations already use, such as Google Drive.

Tutorials show uses such as testing a private AI model on a private test set, or analysing AI chat logs without exposing them.

Who it's for

Data scientists and organisations that need to work together on sensitive data, such as in health or research.

Can I use it without coding?

Developers only. It is a Python library used in code or notebooks such as Google Colab. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Computer
An ordinary computer is fine
Privacy
Runs on your own device: your data stays with you
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe

Where people are talking about it