PySyft vs scikit-learn

scikit-learn vs PySyft: What are the differences?

Developers describe scikit-learn as "Easy-to-use and general-purpose machine learning in Python". scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license. On the other hand, PySyft is detailed as "A library for encrypted, privacy preserving machine learning". It is a Python library for secure and private Deep Learning. PySyft decouples private data from model training, using Federated Learning, Differential Privacy, and Multi-Party Computation (MPC) within the main Deep Learning frameworks like PyTorch and TensorFlow.

scikit-learn and PySyft belong to "Machine Learning Tools" category of the tech stack.

scikit-learn is an open source tool with 39.1K GitHub stars and 19.1K GitHub forks. Here's a link to scikit-learn's open source repository on GitHub.