yzhao062

    yzhao062/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.

    10.1K stars
    1.5K forks
    142 GitHub watchers
    Updated Nov 10, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    3 releases in the last 90 days, the latest 29 days ago, with 71 contributors on GitHub.

    Use Cases & Benefits

    • Provides a comprehensive Python library for anomaly detection across tabular, time series, graph, text, image, and audio data using 60+ detectors.
    • Offers a unified, user-friendly interface with a wide range of classical and deep learning models optimized for performance and automated LLM-based model selection.
    • Use for detecting fraud or unusual patterns in financial transaction tabular datasets with scalable and interpretable algorithms.
    • Use for monitoring and identifying anomalies in time series data such as sensor readings or server logs to enable proactive maintenance.
    • Use for detecting outliers in multimodal data including images, audio, and text for applications like defect detection, audio event spotting, or NLP anomaly detection.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    BSD 2-Clause

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

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    General guidance from repository metadata, not legal advice. How we score

    From the README

    Excerpt from the yzhao062/pyod README on GitHub (BSD-2-Clause license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    1.5K+23

    Open issues

    227-9

    Compared with peers in Deep Learning

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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    yzhao062/pyod10.1K—7529 days ago
    Category median16.3K—58—

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