rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
Curated collection organizing 40+ anomaly detection tools and datasets by language, maintenance status, and use case—spanning statistical methods (ARIMA, Robust PCA), deep learning approaches (LSTMs, VAEs), and streaming algorithms (RRCF, microcluster detection). Distinguishes between maintained and unmaintained projects, and cross-references related forecasting and time-series analysis libraries to support end-to-end pipeline development. Includes enterprise implementations from Yahoo, Netflix, LinkedIn, and NASA alongside research prototypes for benchmarking against standardized datasets.
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