Anomaly Detection

PyOD (Python Outlier Detection)

PyOD is a comprehensive and scalable Python library for detecting outliers/anomalies in multivariate data. It includes more than 40 detection algorithms including deep learning approaches (AutoEncoder, VAE), proximity-based methods (LOF, CBLOF), linear models (PCA, OCSVM), and ensemble methods (IForest, LOCI). Widely used in research and production for fraud detection, intrusion detection, medical anomaly detection, and data quality monitoring.

GitHub

Documentation

📖
Documentation
https://pyod.readthedocs.io/en/latest/
📖
APIReference
https://pyod.readthedocs.io/en/latest/pyod.html

SDKs

📦
GitHubRepository
https://github.com/yzhao062/pyod
📦
SDK
https://pypi.org/project/pyod/

API entry from apis.yml

apis.yml Raw ↑ 
name: PyOD (Python Outlier Detection)
description: PyOD is a comprehensive and scalable Python library for detecting outliers/anomalies in multivariate
  data. It includes more than 40 detection algorithms including deep learning approaches (AutoEncoder,
  VAE), proximity-based methods (LOF, CBLOF), linear models (PCA, OCSVM), and ensemble methods (IForest,
  LOCI). Widely used in research and production for fraud detection, intrusion detection, medical anomaly
  detection, and data quality monitoring.
image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
humanURL: https://pyod.readthedocs.io/
baseURL: https://pypi.org/project/pyod/
tags:
- Anomaly Detection
- Data Science
- Machine Learning
- Open Source
- Outlier Detection
- Python
properties:
- type: Documentation
  url: https://pyod.readthedocs.io/en/latest/
- type: APIReference
  url: https://pyod.readthedocs.io/en/latest/pyod.html
- type: GitHubRepository
  url: https://github.com/yzhao062/pyod
- type: SDK
  url: https://pypi.org/project/pyod/
contact:
- FN: PyOD Maintainers
  url: https://github.com/yzhao062/pyod/issues