GitHub

pyod

Agent 框架可观测性与评测工作流自动化

观察池 · 暂无正式排名

该项目当前未满足“两个有效维度 + 两种数据源”的主榜门槛。

— 未排名

可观测采用度缺失

—

动量当前有效 · 2026-09-12

关注度当前有效 · 2026-09-12

信号可信度 依据当前有数据的独立评分维度数量计算。

中2/3 · 1 种数据源

方法论 v2.0 · 快照 2026-09-12 · 超过 2 天视为过期

项目介绍

PyOD is agent-ready. Claude Code and Codex can use the od-expert skill to drive ADEngine investigations, while MCP-compatible agents can query PyOD's detector knowledge and planning tools. The classic fit/predict API stays unchanged.

PyOD 3 is the most comprehensive Python library for anomaly detection. Four pillars:

=========================== ======================================================================================== Pillar What it means =========================== ======================================================================================== Multi-Modal 61 detectors across tabular, time series, graph, text, image, and audio data, one API Full Lifecycle From raw…

各数据源

GitHub yzhao062/pyod 指标与趋势 →

10.0k Star

Star 10.0k
Fork 1.5k
提交 2.1k
发布 62