Life & fun · alternatives · 2026
24 alternatives to Memory-Based Anomaly Detection in Multi-Aspect Streams
MemStream: Memory-Based Streaming Anomaly Detection - Stream-AD/MemStream
Memory-Based Anomaly Detection in Multi-Aspect Streams is a tool for identifying unusual patterns across multiple data streams simultaneously. It uses memory-based methods to detect anomalies in complex… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Memory-Based Anomaly Detection in Multi-Aspect Streams launched in 2021; newer entries below may have overtaken it.
- 1
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
Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams - steve0hh/midas
2020 · github.com · 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
2019 · github.com · its alternatives →
- 5
Sketch-Based Anomaly Detection in Streaming Graphs - Stream-AD/AnoGraph
2021 · github.com · its alternatives →
- 6
A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
- 7
Hey HN! We're Taranjeet and Deshraj, the founders of Mem0 (https://mem0.ai). Mem0 adds a stateful memory layer to AI applications, allowing them to remember user interactions, preferences, and context over time. This enables AI apps to deliver increasingly personalized and intelligent experiences that evolve with every interaction. There’s a demo video at https://youtu.be/VtRuBCTZL1o and a playground to try out at https://app.mem0.ai/playground. You'll need to sign up to use the playground – this helps ensure responses are more tailored to you by…
2024 · github.com · its alternatives →
- 8
debugs memory leak of running process. Not maintained anymore, try `libleak` please. - WuBingzheng/memleax
2016 · github.com · its alternatives →
- 9
Advanced Bloom Filter Based Algorithms for Efficient Approximate Data De-Duplication in Streams - jparkie/PDD
2016 · github.com · its alternatives →
- 10
Edge stream anomaly detection for Ruby. Contribute to ankane/midas-ruby development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 11
Streamdal▲143Detect and resolve data quality incidents faster
2023 · streamdal.com · its alternatives →
- 12ID
Abstract page for arXiv paper 1911.04464: MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
2020 · arxiv.org · its alternatives →
- 13
Heap based scheme machine. GitHub Gist: instantly share code, notes, and snippets.
2025 · gist.github.com · its alternatives →
- 14
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 →
- 15
Statechart library and editor. Contribute to jonasblixt/ufsm development by creating an account on GitHub.
2018 · github.com · its alternatives →
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Hi Hacker News! We’re Vadim and Chris from Highlight.io [1]. We do web app monitoring and are working on using LLMs/embeddings to add new functionality to our error monitoring product. Given that there’s a lot of founders/engineers using LLMs in their products, we figured we’d share how we built the new functionality, their impact on our workflows, and how you can try it out. Our goal was to build two features: (1) tagging errors (e.g. deeming an error as “authentication error” or a “database error”); and (2) grouping similar errors together (e.g. two errors that have a different…
2023 · github.com · its alternatives →
- 18MC
2012 · memstash.co · its alternatives →
- 19
Track the RAM usage of a process and its descendants in real time - dbohdan/memsparkline
2024 · github.com · its alternatives →
- 20
Probabilistic data structures for processing continuous, unbounded streams. - tylertreat/BoomFilters
2015 · github.com · its alternatives →
- 21AR
2013 · getanomalous.com · its alternatives →
- 22
Hey there! This is Dan and Ustin (@uzarubin), and we want to share something cool we've been working on for the past year - an open-source `tail -f` for your data, with a UI. We call it "Streamdal" which is a word salad for streaming systems (because we love them) and DAL or data access layer (because we’re nerds). Here's the repo: https://github.com/streamdal/streamdal Here's the site: https://streamdal.com And here's a live demo: https://demo.streamdal.com (github repo has an explanation of the demo) — — — THE PROBLEM We built this because the…
2023 · github.com · its alternatives →
- 23
MEMsched▲101Show the world what you're learning and embed on any site
2025 · memsched.com · its alternatives →
- 24
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases - cuebook/CueObserve
2021 · github.com · its alternatives →
Also compare
- Fast Real-Time Anomaly Detection in Dynamic Graphs alternatives
- Midas, a Streaming Anomaly Detector. Now Implemented in Go alternatives
- Midas, a Streaming Anomaly Detector alternatives
- Midas, Microcluster-Based Detector of Anomalies in Edge Streams alternatives
- Higher Order Sketch-Based Graph Anomaly Detection alternatives
- ADTK – new Python library for time series anomaly detection 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 →