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
Skyline is an open-source project focused on real-time anomaly detection and time series analysis. Its core purpose is to monitor a large quantity of high-resolution metrics to identify anomalies automatically, without requiring users to configure individual models or thresholds for each metric. The system dynamically adds new metrics for analysis once a stream is set up and attempts to learn what constitutes anomalous behavior for each specific metric. Users can further train Skyline by marking what is not anomalous. This active learning approach makes it suitable for environments with diverse and evolving metric sets that require continuous monitoring. Skyline integrates with popular monitoring tools like Graphite, InfluxDB, Prometheus, Telegraf, and Victoriametrics, enabling it to ingest data from various sources. This project is a foundational tool for AIOps, providing intelligent insights into system performance and health through its automated anomaly detection capabilities.
https://github.com/earthgecko/skyline
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.
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