Life & fun · alternatives · 2026
24 alternatives to 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 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… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Midas, Microcluster-Based Detector of Anomalies in Edge Streams launched in 2019; newer entries below may have overtaken it.
- 1
Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams - steve0hh/midas
2020 · github.com · its alternatives →
- 2ID
Abstract page for arXiv paper 1911.04464: MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
2020 · arxiv.org · its alternatives →
- 3
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 →
- 4
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 →
- 5
MemStream: Memory-Based Streaming Anomaly Detection - Stream-AD/MemStream
2021 · github.com · its alternatives →
- 6
Edge stream anomaly detection for Ruby. Contribute to ankane/midas-ruby development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 7
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
Sketch-Based Anomaly Detection in Streaming Graphs - Stream-AD/AnoGraph
2021 · github.com · its alternatives →
- 9
Middleware▲633Observability copilot to resolve production issues instantly
2023 · middleware.io · its alternatives →
- 10
Middleware▲257Open-source DORA metrics for software engineering teams
2024 · github.com · its alternatives →
- 11
A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
- 12AR
2013 · getanomalous.com · its alternatives →
- 13
A library for object detection and seamless YOLO model integration in Elixir - poeticoding/yolo_elixir
2024 · github.com · its alternatives →
- 14
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 →
- 15
Probabilistic data structures for processing continuous, unbounded streams. - tylertreat/BoomFilters
2015 · github.com · its alternatives →
- 16
- 17
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
- 18
Streamdal▲143Detect and resolve data quality incidents faster
2023 · streamdal.com · its alternatives →
- 19
Best no-code anomaly detection engine for Google Analytics
2022 · baresquare.com · its alternatives →
- 20
FraudLens AI▲118Detect Fraud Faster with Intelligent Automation
Nov 2025 · fraud-detection-fawn.vercel.app · its alternatives →
- 21
Heya. I created a flexible collision engine for broad detection in C that's also pretty fast. Personally that's my best, so I wanted to show it here. Although... still not as fast as DragonEnergy's one that supposedly handled millions of agents bouncing off each other every frame on an old i3, haha. I hope I get better at this! He set the bar pretty high for me. I was considering including some small function that tries finding the nearest entity, although I think it might be better to simply use query for that matter. Perhaps in the future I will get a good idea of how to do that more…
2023 · github.com · its alternatives →
- 22TI
2020 · theinternetportal.net · its alternatives →
- 23
Advanced Bloom Filter Based Algorithms for Efficient Approximate Data De-Duplication in Streams - jparkie/PDD
2016 · github.com · its alternatives →
- 24
Zero-cost epistemic uncertainty quantification & hallucination detection for LLMs (90,000x faster than Semantic Entropy) - Adarshent/Spnda
Sep 2026 · github.com · its alternatives →
Also compare
- Midas, a Streaming Anomaly Detector. Now Implemented in Go alternatives
- Intrusion Detection in Real-time alternatives
- Midas, a Streaming Anomaly Detector alternatives
- Fast Real-Time Anomaly Detection in Dynamic Graphs alternatives
- Memory-Based Anomaly Detection in Multi-Aspect Streams alternatives
- Anomaly Detection in Ruby 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 →