Most software libraries let you compute over the information you own and see inside of machines you control. However, this means that you cannot compute on information without first obtaining (at least partial) ownership of that information. It also means that you cannot compute using machines without first obtaining control over those machines. This is very limiting to human collaboration and systematically drives the centralization of data, because you cannot work with a bunch of data without first putting it all in one (central) place. The Syft ecosystem seeks to change this system, allowing you to write software which can compute over information you do not own on machines you do not have (total) control over. This not only includes servers in the cloud, but also personal desktops, laptops, mobile phones, websites, and edge devices. Wherever your data wants to live in your ownership, the Syft ecosystem exists to help keep it there while allowing it to be used privately.

Features

  • The current stable release is 0.6.0
  • Requires Docker
  • Requires Python 3.8+
  • Run the FastAPI Dev environment
  • You will need tox to run some of our build and test tools
  • We are providing a simple way to deploy all of our stack inside a single VM

Project Samples

Project Activity

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License

MIT License

Follow PySyft

PySyft Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software, Python Data Science Tool

Registered

2022-08-01