PyGOD is a comprehensive machine learning library designed for graph outlier detection (anomaly detection). It provides implementations of various graph neural network-based anomaly detection algorithms built on PyTorch. The library focuses on detecting anomalous nodes, edges, or subgraphs in graph-structured data and includes utilities for benchmarking models and processing graph datasets.