Graph Theory
Showing 36 of 37 projects
A fully featured JavaScript library for graph theory (network) visualization and analysis.
Uses graph theory to map hidden attack paths in Active Directory environments for security analysis.
An open-source platform for visualizing and manipulating large graphs and networks with real-time performance.
A curated list of resources for constructing, analyzing, and visualizing network data across various disciplines.
A curated list of awesome resources for constructing, analyzing, and visualizing network data across various disciplines.
A fast, flexible graph data structure library for Rust with multiple graph types and built-in algorithms.
A free Java library providing mathematical graph-theory objects and algorithms.
An R package for creating, modifying, analyzing, and visualizing network graphs from tabular data.
A high-performance Python graph library implemented in Rust for general-purpose graph algorithms.
A robust and multipurpose Graph object for JavaScript and TypeScript, supporting various graph types with a unified interface.
A Python interface for the igraph library, enabling fast creation, manipulation, and analysis of large graphs and networks.
C++17/Qt6 library for rendering interactive graphs and node-based editors in QML applications.
A Python package providing specialized statistical algorithms for graph and network analysis.
A graph library for Clojure providing immutable graph data structures and algorithms.
A semantic database for iOS/macOS that enables data-driven applications with graph theory modeling.
A comprehensive Swift library for creating and manipulating weighted, unweighted, directed, and undirected graphs with built-in algorithms.
A Go library providing efficient implementations of fundamental graph algorithms and data structures.
A Go package implementing graph data structures and algorithms with comprehensive tutorials and visualizations.
A header-only C++ library for graph representation and algorithms, designed as a modern alternative to Boost Graph Library.
A Dash component library for creating interactive and customizable network visualizations in Python and R, powered by Cytoscape.js.
An optimized graph analysis package for Julia, providing simple concrete graph types and an API for custom implementations.
A Ruby interface and tools for generating and manipulating GraphViz graphs.
A visualization package for NetworkX graphs with publication-quality defaults and flexible customization options.
A Ruby framework for graph data structures and algorithms, inspired by the Boost Graph Library.
A lightweight, header-only C++20 graph library designed as a simpler alternative to the Boost Graph Library.
A Rust library for creating directed hypergraphs where hyperedges can connect any number of vertices.
A comprehensive, modular graph library for OCaml providing multiple graph implementations and algorithms.
A formal proof of the Four Color Theorem in Coq, including supporting theories for real numbers, plane topology, and combinatorial hypermaps.
A Julia package providing generic graph types, algorithms, and interfaces inspired by the Boost Graph Library.
An R package for performing graph theory analyses of brain MRI data from structural, DTI, and resting-state fMRI connectivity.
An iOS puzzle game based on the Seven Bridges of Königsberg problem, featuring bridges, houses, tolls, and subways.
A lightweight, modular Java framework for graph theory algorithms with one-line application and custom engine support.
A lightweight, efficient, and easy-to-use generic graph data structure and algorithm library for Go.
A Julia package for graph and network algorithms using matrix-based representations.
IGraph/M is a Wolfram Language interface to the igraph network analysis library, extending Mathematica's graph theory capabilities.
A graph library for the Go programming language providing data structures and algorithms for graph manipulation.
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