P
pyod
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.
★10.0kstars
Python
BSD-2-Clause
Updated: Today
📋 Project at a Glance
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What's this?A open-source Data & Infrastructure project, built with Python, focusing on agentic-ai and anomaly-detection
Who made it?Maintained by yzhao062 team, 10K⭐ on GitHub, #199 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the yzhao062 team identified the need for better agentic-ai solutions. pyod was created to simplify anomaly-detection workflows.
What can it do?Key use cases: data-mining, data-science, deep-learning
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/yzhao062/pyod | 官网 https://pyod.dev/
🔗 github.com/yzhao062/pyod | 官网 https://pyod.dev/
Topics
agentic-aianomaly-detectiondata-miningdata-sciencedeep-learningfoundation-modelsfraud-detectiongraph-anomaly-detectionimage-anomaly-detectionmachine-learningmultimodalnlp-anomaly-detectionnovelty-detectionout-of-distribution-detectionoutlier-detectionoutlier-ensemblestime-seriestime-series-anomaly-detectionunsupervised-learning