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Observation pool · not formally ranked

This project does not currently meet the main index requirement of two current dimensions across two source types.

Not ranked
Observed adoptionMissing
MomentumCurrent · 2026-09-12
14
AttentionCurrent · 2026-09-12
29
Signal confidence Based on how many independent score dimensions currently have data.
Medium2/3 · 1 source types

Methodology v2.0 · snapshot 2026-09-12 · stale after 2 days

About

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…

Across sources

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