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
AIopstools provides a set of core functionalities for AIOps, implemented in Python. It is designed to assist in common IT operations scenarios by leveraging AI and machine learning techniques. The toolkit primarily focuses on four key areas: anomaly detection, which helps identify unusual patterns or deviations in system behavior; alarm convergence, aimed at reducing alert noise and grouping related alarms; time series forecasting, for predicting future trends of operational metrics; and alarm association analysis, which helps in understanding dependencies and correlations between different alarms. This library is presented as a fundamental package for developers and operations teams looking to integrate AI capabilities into their monitoring and incident management workflows. It supports both Python 2 and Python 3, making it accessible to a wider range of existing systems. The project emphasizes modularity, allowing users to easily import and utilize specific functions as needed for their AIOps initiatives.
https://github.com/jixinpu/aiopstools
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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