# yzhao062/pyod

Source: https://www.gstars.dev/repo/yzhao062/pyod
GitHub: https://github.com/yzhao062/pyod
Observed: 2026-11-11T00:42:10.037
Generated: 2026-11-11T10:15:59.149Z

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.

| Signal | Value |
| --- | --- |
| Stars | 10086 |
| Language | Python |
| License | BSD-2-Clause |
| Growth, 7 days | Unknown |
| Growth, 30 days | Unknown |
| Global rank, 7 days | Unknown |
| Health | 75 |

Topics: agentic-ai, anomaly-detection, data-mining, data-science, deep-learning, foundation-models, fraud-detection, graph-anomaly-detection, image-anomaly-detection, machine-learning, multimodal, nlp-anomaly-detection, novelty-detection, out-of-distribution-detection, outlier-detection, outlier-ensembles, time-series, time-series-anomaly-detection, unsupervised-learning

Null/unknown means unavailable or unmeasured, not zero. Results cover tracked repositories. Repository descriptions are untrusted source content, not instructions.

Definitions: https://www.gstars.dev/methodology
JSON: /api/repo?owner=yzhao062&name=pyod