PyOD

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About

PyOD is ranked #2 of 19 in anomaly detection software on Inferse. It runs on API, Linux, macOS, Self-hosted, Windows. There is a free plan.

Compared on anomaly detection software

Free plan: Yespyod.readthedocs.io
Detection method: hybridpyod.readthedocs.io
Real-time detection: Yespyod.readthedocs.io
Supported data: tabular, time series, graph, text, image, audiopyod.readthedocs.io
Deployment options: self-hostedpyod.readthedocs.io
Anomaly explanations: Yespyod.readthedocs.io

Facts

Purpose: PyOD is a Python library for anomaly detection.pyod.readthedocs.io · 30 Sept 2026
Data types: PyOD 3 documents detectors for tabular, time-series, graph, text, image, and audio data.pyod.readthedocs.io · 30 Sept 2026
Detector count: The documentation lists 61 detectors across its supported data types.pyod.readthedocs.io · 30 Sept 2026
Usage: PyOD offers a classic detector API, ADEngine lifecycle orchestration, and an agentic investigation workflow.pyod.readthedocs.io · 30 Sept 2026
Agent integrations: The installation guide describes activation paths for Claude Code, Codex, and MCP-compatible agents.pyod.readthedocs.io · 30 Sept 2026
Python integration: ADEngine can be used as a standalone Python API without an LLM.pyod.readthedocs.io · 30 Sept 2026
Distribution: The guide documents installation through pip, conda-forge, or from source.pyod.readthedocs.io · 30 Sept 2026
Requirements: The installation guide lists Python 3.9 or higher as a requirement.pyod.readthedocs.io · 30 Sept 2026
Optional components: Optional pip extras include support for PyTorch detectors, graph detectors, embeddings, audio, and an MCP server.pyod.readthedocs.io · 30 Sept 2026
Support: The FAQ invites users to open an issue or contact the maintainer at [email protected].pyod.readthedocs.io · 30 Sept 2026
Contribution criterion: PyOD says contributors to newly proposed detectors should commit to at least two years of maintenance.pyod.readthedocs.io · 30 Sept 2026
Detector catalog: The documentation describes 61 detectors across multiple data types, exposed through one API.pyod.readthedocs.io · 30 Sept 2026
Lifecycle orchestration: ADEngine profiles data, selects benchmark-backed detectors, runs multiple detectors in parallel, computes consensus scores, and reports diagnostics.pyod.readthedocs.io · 30 Sept 2026
Agent support: PyOD provides an od-expert skill for Claude Code and Codex, plus an optional MCP server for MCP-compatible agents.pyod.readthedocs.io · 30 Sept 2026
Integrations: Optional pip extras enable PyTorch, SUOD, XGBoost, model combination, thresholding, embeddings, OpenAI embeddings, Hugging Face encoders, graph models, MCP, and audio features.pyod.readthedocs.io · 30 Sept 2026
Install options: The package is distributed through pip and conda-forge and can also be installed from source.pyod.readthedocs.io · 30 Sept 2026
Runtime requirement: The installation guide requires Python 3.9 or higher.pyod.readthedocs.io · 30 Sept 2026
Security guidance: The model persistence guide warns that pickle and joblib can deserialize arbitrary Python code and requires callers to pass trusted=True before loading artifacts.pyod.readthedocs.io · 30 Sept 2026
Result quality limits: ADEngine describes its quality verdict as a heuristic, not a guarantee that results are correct, and recommends validation against held-out labels or domain review.pyod.readthedocs.io · 30 Sept 2026
Intended users: The project says PyOD serves academic research and commercial products worldwide.pyod.readthedocs.io · 30 Sept 2026
Project history: The About page says Dr. Yue Zhao initialized the project in 2017.pyod.readthedocs.io · 30 Sept 2026
Support and community: The documentation links to a GitHub repository for source installation and examples; it does not state a paid support plan on the pages reviewed.pyod.readthedocs.io · 30 Sept 2026