Graph Analysis
Showing 18 of 18 projects
A curated list of community detection research papers with implementations.
A collection of GPU-accelerated graph analytics libraries for creating, manipulating, and executing scalable graph algorithms.
A tool for quickly evaluating IAM permissions and identifying security risks in AWS accounts through graph-based analysis.
A Python interface for the igraph library, enabling fast creation, manipulation, and analysis of large graphs and networks.
A React toolkit for graph visualization and analysis based on G6, offering both canvas components and configurable SDKs.
A Python package providing specialized statistical algorithms for graph and network analysis.
A comprehensive netlist reverse engineering and manipulation framework for hardware analysis, akin to IDA or Ghidra for hardware.
A header-only C++ library for graph representation and algorithms, designed as a modern alternative to Boost Graph Library.
An optimized graph analysis package for Julia, providing simple concrete graph types and an API for custom implementations.
A tidy API for graph manipulation in R, providing dplyr verbs and igraph algorithms for network analysis.
An R package for interactive network visualization using the vis.js JavaScript library.
An R package for interactive network visualization using the vis.js JavaScript library.
A Maven plugin that identifies and prioritizes God Classes, Highly Coupled classes, and Class Cycles in Java codebases for refactoring.
A visualization package for NetworkX graphs with publication-quality defaults and flexible customization options.
A high-performance Rust library for graph algorithms, built on a parallel CSR data structure for large-scale graphs.
A JavaScript implementation of the Louvain method for efficient community detection in graphs.
A Go library implementing the Weighted PageRank algorithm for graph analysis and ranking.
A Julia package for graph data structures with arbitrary metadata on vertices, edges, and the graph itself, extending Graphs.jl.
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