pyod
PyOD provides a Python library for detecting anomalies in multivariate datasets with over 50 algorithms, ranging from classical methods like LOF to advanced neural networks. The library features a user-friendly interface and efficient processing, enhanced by numba and joblib for fast training and prediction. Suitable for diverse applications, PyOD has gained over 22 million downloads and supports integration with distributed systems such as Databricks. Comprehensive documentation is available to guide users in implementing effective outlier detection solutions.
