bluekiri/anomalydetection
Anomaly Detection Framework written in python
This framework helps operations engineers, data analysts, or system administrators monitor multiple real-time data streams for unusual behavior. It takes in live operational signals (e.g., sensor data, server metrics) and outputs immediate alerts or visualizations when anomalies are detected. The primary user is someone needing to quickly identify and react to unexpected patterns in streaming data.
No commits in the last 6 months.
Use this if you need to set up a robust, scalable system for detecting anomalies across many different real-time data streams and visualize them live.
Not ideal if you are looking for a standalone machine learning model for anomaly detection rather than a framework to deploy such models.
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Language
Python
License
AGPL-3.0
Category
Last pushed
Jun 21, 2022
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