Life & fun · alternatives · 2026

24 alternatives to 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 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… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Midas, a Streaming Anomaly Detector launched in 2020; newer entries below may have overtaken it.

1. 1
   Fast Real-Time Anomaly Detection in Dynamic Graphs▲118

   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

   2020 · github.com · its alternatives →

2. 2
   Midas, a Streaming Anomaly Detector. Now Implemented in Go▲88

   Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams - steve0hh/midas

   2020 · github.com · its alternatives →

3. 3
   Midas, Microcluster-Based Detector of Anomalies in Edge Streams▲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

   2019 · github.com · its alternatives →

4. 4ID
   Intrusion Detection in Real-time▲69

   Abstract page for arXiv paper 1911.04464: MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

   2020 · arxiv.org · its alternatives →

5. 5
   Memory-Based Anomaly Detection in Multi-Aspect Streams▲36

   MemStream: Memory-Based Streaming Anomaly Detection - Stream-AD/MemStream

   2021 · github.com · its alternatives →

6. 6
   Anomaly Detection in Ruby▲24

   Edge stream anomaly detection for Ruby. Contribute to ankane/midas-ruby development by creating an account on GitHub.

   2020 · github.com · its alternatives →

7. 7
   Fast Anomaly Detection in Graphs [pdf]▲215

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

   2020 · comp.nus.edu.sg · its alternatives →

8. 8
   Higher Order Sketch-Based Graph Anomaly Detection▲55

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

   2021 · github.com · its alternatives →

9. 9
   Middleware▲257

   Open-source DORA metrics for software engineering teams

   2024 · github.com · its alternatives →

10. 10
    ADTK – new Python library for time series anomaly detection▲67

    A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk

    2019 · github.com · its alternatives →

11. 11AR
    Anomalous – Real-time monitoring for servers, applications, and logs▲50

    2013 · getanomalous.com · its alternatives →

12. 12
    Middleware▲633

    Observability copilot to resolve production issues instantly

    2023 · middleware.io · its alternatives →

13. 13
    Scam AI ▲547

    Spot scams before they spot you

    2025 · scam.ai · its alternatives →

14. 14
    Streamdal▲143

    Detect and resolve data quality incidents faster

    2023 · streamdal.com · its alternatives →

15. 15
    CueObserve▲73

    Open-source Anomaly detection on SQL data

    2021 · github.com · its alternatives →

16. 16AD
    AdBlock detection by abusing the streaming parser▲21

    2017 · pixel.shodan.me · its alternatives →

17. 17
    Baresquare for Google Analytics▲83

    Best no-code anomaly detection engine for Google Analytics

    2022 · baresquare.com · its alternatives →

18. 18
    An open source access logs analytics script to block bot attacks▲37

    This is a small PoC Python project for web server access logs analyzing to classify and dynamically block bad bots, such as L7 (application-level) DDoS bots, web scrappers and so on. We'll be happy to gather initial feedback on usability and features, especialy from people having good or bad experience wit bots. *Requirements* The analyzer relies on 3 Tempesta FW specific features which you still can get with other HTTP servers or accelerators: 1. JA5 client fingerprinting (https://tempesta-tech.com/knowledge-base/Traffic-Filtering-b...). This is a HTTP and TLS layers…

    2025 · github.com · its alternatives →

19. 19
    Shoreline Insights▲147

    Easily turn incident ticketing data into on-call analytics

    2023 · nvidia.com · its alternatives →

20. 20
    PDD – Probabilistic De-Duplication of Streams with Bloom Filters▲86

    Advanced Bloom Filter Based Algorithms for Efficient Approximate Data De-Duplication in Streams - jparkie/PDD

    2016 · github.com · its alternatives →

21. 21
    Matrixprofile-ts – A Python library for timeseries motifs and discords▲95

    A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts

    2019 · github.com · its alternatives →

22. 22
    Real-time security risks detection for any website or server▲22

    Online automated vulnerability scanner to secure firewalls, servers, web applications, and apis. Try 14 days for free.

    2020 · hostedscan.com · its alternatives →

23. 23
    NAB – The Numenta Anomaly Benchmark▲15

    The Numenta Anomaly Benchmark. Contribute to numenta/NAB development by creating an account on GitHub.

    2015 · github.com · its alternatives →

24. 24
    CueObserve – Open-source Anomaly detection on SQL data▲9

    Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases - cuebook/CueObserve

    2021 · github.com · its alternatives →

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →