Life & fun · alternatives · 2026
24 alternatives to Higher Order Sketch-Based Graph Anomaly Detection
Sketch-Based Anomaly Detection in Streaming Graphs - Stream-AD/AnoGraph
Higher Order Sketch-Based Graph Anomaly Detection is a research tool for identifying unusual patterns in graph-structured data. It uses sketch-based methods to detect anomalies efficiently, making it suitable for… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Higher Order Sketch-Based Graph Anomaly Detection launched in 2021; newer entries below may have overtaken it.
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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
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 →
- 3
Charts▲348The most comprehensive collection of charts for Sketch
2019 · charts.graphics · its alternatives →
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Edge stream anomaly detection for Ruby. Contribute to ankane/midas-ruby development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 5
Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams - steve0hh/midas
2020 · github.com · its alternatives →
- 6
MemStream: Memory-Based Streaming Anomaly Detection - Stream-AD/MemStream
2021 · github.com · its alternatives →
- 7
Hey there HN! We’re Antonio, Luca, and Yuhang, and we’re excited to introduce Fast GraphRAG, an open-source RAG approach that leverages knowledge graphs and the 25 years old PageRank for better information retrieval and reasoning. Building a good RAG pipeline these days takes a lot of manual optimizations. Most engineers intuitively start from naive RAG: throw everything in a vector database and hope that semantic search is powerful enough. This can work for use cases where accuracy isn’t too important and hallucinations are tolerable, but it doesn’t work for more difficult queries that…
2024 · github.com · its alternatives →
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GPU Profiler for AI agents. Contribute to graphsignal/graphsignal development by creating an account on GitHub.
2021 · github.com · its alternatives →
- 9
A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
- 10
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 →
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- 12VG
2020 · treksit.netlify.app · its alternatives →
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HypergraphZ – directed hypergraph library in Zig with Python bindings - yamafaktory/hypergraphz
2024 · github.com · its alternatives →
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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 →
- 15
Creating high-quality scientific figures can be time-consuming and challenging, even though sketching ideas on paper is relatively easy. Furthermore, recreating existing figures that are not stored in formats preserving semantic information is equally complex. To tackle this problem, we introduce DeTikZify, a novel multimodal language model that automatically synthesizes scientific figures as semantics-preserving TikZ graphics programs based on sketches and existing figures. We also introduce a Monte Carlo Tree Search-based inference algorithm that enables DeTikZify to iteratively refine its…
2024 · github.com · its alternatives →
- 16ID
Abstract page for arXiv paper 1911.04464: MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
2020 · arxiv.org · its alternatives →
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- 18AR
2013 · getanomalous.com · its alternatives →
- 19
A simple Python debugger and profiler that generates animated visualizations of program flow, useful for algorithm learning. - CCExtractor/vardbg
2020 · github.com · its alternatives →
- 20
HypergraphZ – directed hypergraph library in Zig with Python bindings - yamafaktory/hypergraphz
2024 · github.com · its alternatives →
- 21
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
- 22
Publish and share huge 3D datasets online
2018 · sketchfab.com · its alternatives →
- 23
Extended Isolation Forest for Anomaly Detection. Contribute to sahandha/eif development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 24
Visual explanation of pathfinding algorithms and how a*, Dijkstra and BFS can be seen as the same algorithm with different parameter/data structures used under the hood - npretto/pathfinding
2021 · github.com · its alternatives →
Also compare
- Fast Real-Time Anomaly Detection in Dynamic Graphs alternatives
- Fast Anomaly Detection in Graphs [pdf] alternatives
- Charts alternatives
- Anomaly Detection in Ruby alternatives
- Midas, a Streaming Anomaly Detector. Now Implemented in Go alternatives
- Memory-Based Anomaly Detection in Multi-Aspect Streams 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 →