#Graph-analysis
Showing 17 of 17 repositories tagged #graph-analysis, ranked by stars
Network Analysis in Python
StellarGraph - Machine Learning on Graphs
Graph-aware TUI for the Beads issue tracker: PageRank, critical path, kanban, dependency DAG visualization, and robot-mode JSON API
🌌 A React toolkit for graph visualization based on G6.
G6VP is an online visual analysis tool for graphs and a low-code platform for building graph applications.
NetworKit is a growing open-source toolkit for large-scale network analysis.
Header-Only C++ Library for Graph Representation and Algorithms
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 238 commands, 224 MCP tools, change-safety gates, audit evidence, zero API keys.
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
Reference mobile app for BrightID
Bipartite-network link prediction in Python
Graph algorithms written in GraphBLAS
Open Semantic Visual Linked Data Graph Explorer: Open Source tool (web app) and user interace (UI) for discovery, exploration and visualization of direct and indirect connections between named entities like persons, organizations, locations & concepts from thesarus or ontologies within your documents and knowledgegraph
Profiling and Deanonymizing Ethereum Users
:sparkler: Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.
Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)
This AI-powered tool extracts Subject-Predicate-Object (SPO) triplets from unstructured text using LLMs, performs entity standardization and relationship inference, and generates interactive, community-detected knowledge graphs with rich visualizations.