# yzhao062/pyod

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/yzhao062-pyod).**

9,878 stars · 1,482 forks · Python · BSD-2-Clause

## Links

- GitHub: https://github.com/yzhao062/pyod
- Homepage: http://pyod.readthedocs.io
- awesome-repositories: https://awesome-repositories.com/repository/yzhao062-pyod.md

## 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`

## Description

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

## Tags

### Part of an Awesome List

- [General Machine Learning](https://awesome-repositories.com/f/awesome-lists/ai/general-machine-learning.md) — Toolkit for detecting outliers in multivariate data.
- [Data Quality and Validation](https://awesome-repositories.com/f/awesome-lists/data/data-quality-and-validation.md) — Outlier and anomaly detection.
- [Data Validation and Anomaly Detection](https://awesome-repositories.com/f/awesome-lists/data/data-validation-and-anomaly-detection.md) — Toolbox for scalable outlier and anomaly detection.