by yzhao062 · Agent Tool · ★ 10.0k
.. image:: https://raw.githubusercontent.com/yzhao062/pyod/master/brand/pyod-icon.svg :target: https://pyod.dev :alt: PyOD Ecosystem :width: 84px Python Outlier Detection (PyOD) 3 ================================== PyOD 3: Agentic Anomaly Detection At Scale .. image:: https://img.shields.io/badge/website-pyod.dev-990000 :target: https://pyod.dev :alt: Website .. image:: https://img.shields.io/pypi/v/pyod.svg?color=brightgreen :target: https://pypi.org/project/pyod/ :alt: PyPI version ..
| Stars | 10,011 |
| Forks | 1,503 |
| Language | Python |
| Category | Agent Tool |
| License | BSD-2-Clause |
| Quality Score | 52.7583314961097/100 |
| Open Issues | 241 |
| Last Updated | 2026-09-17 |
| Created | 2017-10-03 |
| Platforms | python |
| Est. Tokens | ~25k |
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pyod is 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.. It is categorized as a Agent Tool with 10.0k GitHub stars.
pyod is primarily written in Python. It covers topics such as agentic-ai, anomaly-detection, data-mining.
You can find installation instructions and usage details in the pyod GitHub repository at github.com/yzhao062/pyod. The project has 10.0k stars and 1503 forks, indicating an active community.
pyod is released under the BSD-2-Clause license, making it free to use and modify according to the license terms.