PyOD provides a comprehensive suite of anomaly detection algorithms including classical statistical methods, tree-based ensembles, and deep learning models. Version 3 introduces agentic workflows enabling AI agents to orchestrate anomaly detection pipelines and a benchmark-backed ADEngine for evaluating detector performance. The library supports multi-modal detection scenarios from fraud detection to time series anomaly spotting.