Whether you’re tackling a small-scale project or large datasets, PyOD offers a range of algorithms to suit your needs.
- For time-series outlier detection, please use TODS.
- For graph outlier detection, please use PyGOD.
- Performance Comparison & Datasets: We have a 45-page, the most comprehensive anomaly detection benchmark paper. The fully open-sourced ADBench compares 30 anomaly detection algorithms on 57 benchmark datasets.
- Learn more about anomaly detection @ Anomaly Detection Resources
- PyOD on Distributed Systems: you could also run PyOD on databricks.