PySyft

What it is

PySyft is a Python library that enables secure and private deep learning by providing tools for differential privacy, federated learning, and secure multi-party computation. It's built on top of PyTorch and TensorFlow, making it easy to integrate into existing workflows while ensuring data privacy.

PySyft stands out by providing a comprehensive set of tools for ensuring data privacy and security in deep learning, making it ideal for applications that handle sensitive information.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited integrations with non-PyTorch/TensorFlow frameworks

   Primary support is for PyTorch and TensorFlow, other ML frameworks are not officially supported

2. 02

   Performance overhead due to privacy-preserving techniques

   Differential privacy and secure multi-party computation can significantly slow down model training and inference processes

What it does well

• Support for differential privacy

• Federated learning capabilities

• Secure multi-party computation

• Integration with PyTorch and TensorFlow

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.