Anomaly Detection in Ruby

In plain words

Anomaly Detection in Ruby is a software tool for identifying unusual patterns or outliers in data sets. Built for developers and data analysts working with Ruby, it provides methods to detect deviations from normal data behavior. The tool is open-source and available on GitHub, making it accessible for those who need to implement anomaly detection functionality in their Ruby projects.

written from the facts on this page · September 2026

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  Midas, a Streaming Anomaly Detector. Now Implemented in Go2020 · github.com · ▲88

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  Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS

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  Fast Anomaly Detection in Graphs [pdf]2020 · comp.nus.edu.sg · ▲215

  The NUS School of Computing is recognised among the top global universities for computer science; and exemplifies academic excellence and innovative research.

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  Higher Order Sketch-Based Graph Anomaly Detection2021 · github.com · ▲55

  Sketch-Based Anomaly Detection in Streaming Graphs - Stream-AD/AnoGraph

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  Midas, Microcluster-Based Detector of Anomalies in Edge Streams2019 · github.com · ▲15

  Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS

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  Midas, a Streaming Anomaly Detector2020 · github.com · ▲11

  Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS

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