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.

Recent spike this week

7d +0.10% +10 stars in 7d
30d Not tracked yet — first tracked 2026-09-08
90d Not tracked yet — first tracked 2026-09-08
Sep 8, 2026: 9,991 starsSep 9, 2026: 9,993 starsSep 10, 2026: 9,997 starsSep 11, 2026: 9,999 starsSep 12, 2026: 10,000 starsSep 13, 2026: 10,000 starsSep 14, 2026: 10,002 starsSep 15, 2026: 10,007 starsSep 16, 2026: 10,008 starsSep 17, 2026: 10,008 starsSep 18, 2026: 10,008 starsSep 19, 2026: 10,008 starsSep 20, 2026: 10,009 starsSep 21, 2026: 10,011 starsSep 22, 2026: 10,012 starsSep 23, 2026: 10,014 starsSep 24, 2026: 10,013 starsSep 25, 2026: 10,011 starsSep 26, 2026: 10,013 starsSep 27, 2026: 10,013 starsSep 28, 2026: 10,017 starsSep 29, 2026: 10,019 starsSep 30, 2026: 10,022 starsOct 1, 2026: 10,023 stars 9,99110,00710,023 Sep 8Oct 1

9,991 → 10,023 stars since Sep 8

9,989 Stars 1,509 Forks 253 Open issues
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agentic-aianomaly-detectiondata-miningdata-sciencedeep-learningfoundation-modelsfraud-detectiongraph-anomaly-detectionimage-anomaly-detectionmachine-learningmultimodalnlp-anomaly-detectionnovelty-detectionout-of-distribution-detectionoutlier-detectionoutlier-ensemblestime-seriestime-series-anomaly-detectionunsupervised-learning