TimeEval/TimeEval

Time-Series Anomaly Detection | Algorithms + Datasets + Tutorials

Temporal online machines: streaming anomaly detection with calibrated p-values, built on skaters

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

Merlion: A Machine Learning Framework for Time Series Intelligence

Anomaly Detection for time series data

Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.

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.

A toolkit for time series machine learning and deep learning

Learn time-series anomaly detection from z-scores to state-of-the-art deep models: runnable notebooks, honest evaluation, real-world case studies.