Time Series Anomaly Detection Python Packages

pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

aeon

A toolkit for time series machine learning and deep learning

momentfm

MOMENT: A Family of Open Time-series Foundation Models, ICML'24

timeeval

Evaluation Tool for Anomaly Detection Algorithms on Time Series

pysad

Streaming anomaly detection in Python: 16 online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.

dtaianomaly

A simple-to-use Python tool for time series anomaly detection!

timeeval-gutentag

GutenTAG is an extensible tool to generate time series datasets with and without anomalies; integrated with TimeEval.

pyrssa

Python package for Singular Spectrum Analysis

paddlets

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

signature-mahalanobis-knn

Methodology for anomaly detection on multivariate streams using path signatures and the variance norm.