Midas, a Streaming Anomaly Detector
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, a Streaming Anomaly Detector launched on January 27, 2020 with 11 votes, #862 of 3,486 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
Midas is an anomaly detection tool designed for streaming data environments. It identifies unusual patterns in continuous data flows, making it useful for monitoring systems, networks, or other applications that process real-time information. The tool is built for engineers and developers who need to detect irregularities as data arrives rather than analyzing historical records. It is available as open-source software on GitHub.
written from the facts on this page · September 2026
Does a similar job
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Fast Real-Time Anomaly Detection in Dynamic Graphs2020 · github.com · ▲118Anomaly 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, a Streaming Anomaly Detector. Now Implemented in Go2020 · github.com · ▲88Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams - steve0hh/midas
Midas, Microcluster-Based Detector of Anomalies in Edge Streams2019 · github.com · ▲15Anomaly 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
- IDIntrusion Detection in Real-time2020 · arxiv.org · ▲69
Abstract page for arXiv paper 1911.04464: MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
Memory-Based Anomaly Detection in Multi-Aspect Streams2021 · github.com · ▲36MemStream: Memory-Based Streaming Anomaly Detection - Stream-AD/MemStream
Anomaly Detection in Ruby2020 · github.com · ▲24Edge stream anomaly detection for Ruby. Contribute to ankane/midas-ruby development by creating an account on GitHub.
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