Anomaly Detection GitHub Repositories (2026) · Open Source Tools

AI agent for Home Assistant — talk to your home, create automations in plain language, analyze cameras with face recognition, and get proactive anomaly alerts. Cloud LLMs or fully local via Ollama.

A unified framework for machine learning with time series

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

autoupdate paper list

CapyMOA does efficient machine learning for data streams in Python. CapyMOA is a toolbox of methods and evaluators for: classification, regression, clustering, anomaly detection, semi-supervised learning, online continual learning, and drift detection for data streams.

Local-first threat hunting for the logs you already have: Zeek, Pi-hole, syslog or the systemd journal, CloudTrail. Every run names the technique behind each detector. No agent, no daemon, no black box - between grep and a SIEM.

A high-level machine learning and deep learning library for the PHP language.