A very fast geospatial point clustering library.
Density Based Clustering in JavaScript
Distributed task scheduler and rate limiter
React Native Map Clustering both for Android and iOS
TypeScript definitions for density-clustering
memlab core libraries
Hierarchical clustering algorithms
Redis storage adapter for Keyv
Smaller & Faster Single-File Vector Search Engine from Unum
PostgreSQL schema migration tool with microsharding and clustering support
A hook for using Supercluster with React.
Scatterplot matrix for 2d plots
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
A dynamic, browser-based visualization library.
MemberJunction: AI Vectors In-Memory Utilities
Extracts the isolated sub-blocs of matrix
Distributed task scheduler and rate limiter
Distributed task scheduler and rate limiter
Esri Leaflet plugin for visualizing Feature Layers as clusters with L.markercluster.
Library for high performance computations
Layout algorithms for visualizing hierarchical data.
Tool for grouping objects by similarity.
Hierarchical DBSCAN Clustering in JavaScript
Marker clustering plugin for Mapgl
A collection of clustering algorithms
Shared algorithms and utilities for flow cytometry crates
Fast, safe K-Means++ with SIMD acceleration, mini-batch training and WASM support.
Time series clustering.
A library for mixture of expert gaussian processes
Unified intelligence layer — knowledge graphs, adaptive prompting, RAG, spectral math, and code analysis for the Brainwires Agent Framework
Knowledge layer — knowledge graphs, BKS/PKS, brain client, entity extraction for the Brainwires Agent Framework. RAG / spectral / code-analysis live in `brainwires-rag`; prompting lives in `brainwires-prompting`.
Dense clustering primitives (k-means, DBSCAN, HDBSCAN, EVoC, COP-Kmeans, DenStream, correlation clustering)
Clustering algorithms for flow cytometry: K-means, DBSCAN, GMM
Tether Lidar2D Consolidator Agent, Rust edition
Tether Lidar2D Consolidator Agent, Rust edition
Extract dominant colours from images using k-means clustering