Graph Theory with JS
Simple graph algorithms
Graph algorithms library for browser environments implemented in TypeScript
Graph algorithms
Package implements data structures and algorithms for processing various types of graphs
Core knowledge graph library with search, storage, and graph algorithms
provide common graph algorithms implemented with WebGPU
A collection of graph algorithms for game development
A lightweight TypeScript library for data structures and graph algorithms.
Dependency graph algorithms for monorepo package analysis
Graph Sandbox + Graph Toolbox: Abstract and experimental graph algorithms for academic research
Graph algorithms for citation network analysis - novel expansion, MI variants, and path ranking
Directed graph algorithms
High-performance TypeScript graph algorithms library optimized for trading bots and arbitrage detection
Small tutorial on using graph algorithms (after writing them :) )
Simple graph algorithms implemented in typescript and compiled to es5
Library for graph algorithms visualizations
Visualize graphs, simulate common graph algorithms (Kruskal, Dijkstra, BFS, DFS, etc.), and record your own graph animations.
Node module for graph algorithms
Enhanced MCP memory server with hierarchies, compression, archiving, graph algorithms, semantic search, temporal KG, RBAC, bitemporal validity, OCC, procedural memory, causal reasoning, world model, and 160 advanced tools
A library providing dynamic programming helpers and basic graph algorithms.
reference bot implementation for generals.io using a combination of heuristics and graph algorithms
Browser Compatible Object Hashing
Algorithms to help you parse CSS from an array of tokens.
A crate for 5 graph algorithms - DIJKSTRA'S, BFS, DFS, KOSARAJU'S and BELLMAN FORD ALGORITHM
Disjoint set implementation with optimized memory usage and ability to detach elements.
Next-generation machine learning library in pure Rust
Annoy-inspired Approximate Nearest Neighbors in Rust, based on LMDB and optimized for memory usage
Find biconnected components in a graph
Feynman graph topology identification
Graph abstraction providing a generic interface and powerful parallelized traversals.
Graph data structure library. Provides graph types and graph algorithms.
Detect all cycles in a petgraph graph
Library for finding patterns in graphs
Graphific is a graph data structure library.
A graph data science library for Rust
This library is based on GRATR and RGL. Graph algorithms currently provided are: * Topological Sort * Strongly Connected Components * Transitive Closure * Rural Chinese Postman * Biconnected
Pure Ruby graph algorithms, particularly e.g. Hamiltonian cycles
RGL is a framework for graph data structures and algorithms
A graph implementation supporting Dijkstra's shortest path algorithm
Native implementation of Dijkstra algorithm for finding the shortest path between two vertices in a large, sparse graphs. Underlying algorithm is implemented in C using a priority queue. Edges are represented using linked lists rather than an adjacency matrix to reduce memory footprint when operating on very large graphs where the average number of edges between nodes is relatively small (e.g. < 1/10 the number of nodes). See https://en.wikipedia.org/wiki/Dijkstra's_algorithm for additional information.
QuickGraph provides generic directed/undirected graph datastructures and algorithms for .Net 2.0 and up. QuickGraph comes with algorithms such as depth first seach, breath first search, A* search, shortest path, k-shortest path, maximum flow, minimum spanning tree, least common ancestors, etc... QuickGraph supports MSAGL, GLEE, and Graphviz to render the graphs, serialization to GraphML, etc...
Efficient algorithms for maximum cardinality and weighted matchings in undirected graphs.
This gem allows to create simple directed and undirected graphs. Basic operations allows easily implement graph algorithms
This gems implements some graph algorithms and representations.
GRATR is a framework for graph data structures and algorithms. This library is a fork of RGL. This version utilizes Ruby blocks and duck typing to greatly simplfy the code. It also supports export to DOT format for display as graphics. GRATR currently contains a core set of algorithm patterns: * Breadth First Search * Depth First Search * A* Search * Floyd-Warshall * Best First Search * Djikstra's Algorithm * Lexicographic Search The algorithm patterns by themselves do not compute any meaningful quantities over graphs, they are merely building blocks for constructing graph algorithms. The graph algorithms in GRATR currently include: * Topological Sort * Strongly Connected Components * Transitive Closure * Rural Chinese Postman * Biconnected
Dijkstra's Algorithm For Shortest Path Directed Graph
A graph library implementing basic directed graph functions and some algorithms.
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