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
MentatInnovations/datastream.io
datastream.io provides a comprehensive framework for identifying anomalies in real-time data streams. It leverages Python for data processing, Elasticsearch for indexing and storage, and Kibana for visualization and dashboarding. The framework supports various anomaly detection algorithms, including built-in Gaussian and percentile-based detectors, and allows users to integrate custom detectors. It can process data from CSV files and stream it to output destinations, offering options for visualizing directly with Bokeh or persisting to and visualizing with Elasticsearch and Kibana. A key feature is its design pattern, which aims to align with `sklearn` practices for anomaly detection, even introducing an `AnomalyMixin` interface for better integration. The project includes examples for setting up and using the framework with Docker Compose for quick deployment of Elasticsearch and Kibana instances, making it accessible for rapid prototyping and deployment of anomaly detection solutions in operational contexts such as IoT and general data streams.
https://github.com/MentatInnovations/datastream.io
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