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Life & fun · November 11, 2019

Midas, Microcluster-Based Detector of Anomalies in Edge Streams

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

Midas, Microcluster-Based Detector of Anomalies in Edge Streams launched on November 11, 2019 with 15 votes, #781 of 3,203 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.

Visit github.com ↗Alternativestop 24% of November 2019

In plain words

Midas is an anomaly detection system designed for edge computing environments that process continuous data streams. It uses a microcluster-based approach to identify unusual patterns in real-time data. The tool is intended for developers and data engineers who need to monitor streaming data at edge nodes. It stands out for its focus on efficient anomaly detection in distributed, resource-constrained environments. The project is available on GitHub.

written from the facts on this page · September 2026

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