FederatedScope is a comprehensive federated learning platform built on PyTorch, designed for training machine learning models across distributed datasets while preserving data privacy. It uses an event-driven architecture and integrates rich functionalities for various federated learning tasks in both academia and industry. The platform provides convenient usage and flexible customization for researchers and practitioners working on privacy-preserving machine learning.