yzhao062/pyod
PyOD is a comprehensive Python library for multi-modal anomaly detection, offering 60+ detectors and an agentic workflow for AI agents to drive investigations across various data types.
Awesome AI for Infra › Anomaly Detection
Stream-AD/MIDAS
MIDAS (Microcluster-Based Detector of Anomalies in Edge Streams) provides a highly efficient C++ implementation for real-time anomaly detection in dynamic graphs. Its core purpose is to identify various types of anomalies such as intrusions (e.g., DoS and DDoS attacks), financial fraud, and fake ratings by detecting microcluster anomalies—suddenly appearing groups of suspiciously similar edges. The project boasts theoretical guarantees on false positive probability, constant memory usage irrespective of graph size, and constant update time for real-time detection. Benchmarked against state-of-the-art approaches, MIDAS claims significantly higher accuracy and speed. This tool is valuable for IT operations teams, security professionals, and data analysts needing to monitor complex systems and networks for unusual patterns indicative of malicious activity or system failures. It is particularly useful in scenarios where data can be represented as a continuously evolving graph, enabling the real-time identification of emerging threats and operational irregularities in infrastructure.
https://github.com/Stream-AD/MIDAS
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