Network Analysis in Python
:books: :chart_with_upwards_trend: Plug-and-play class-library project of standard Data Structures and Algorithms in C#
:books: collection of JavaScript and TypeScript data structures and algorithms for education purposes. Source code bundle of JavaScript algorithms and data structures book
High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.
A node-based visual tool for organizing thoughts and notes in a non-linear way.
Graph data structure library for Rust.
A semantic diff utility and library for tree-like files such as JSON, JSON5, XML, HTML, YAML, and CSV.
cuGraph - RAPIDS Graph Analytics Library
Library for the analysis of networks
Awesome Procedures On Cypher for Neo4j - codenamed "apoc" If you like it, please ★ above ⇧
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
Python interface for igraph
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
Graph library for Clojure
NetworKit is a growing open-source toolkit for large-scale network analysis.
Source code for the Neo4j Graph Data Science library of graph algorithms.
Grafeo is a pure-Rust, high-performance graph database that can be embedded as a library or run as a standalone database, with optional in-memory or persistent storage. Grafeo supports both LPG and RDF and all major query languages.
A Graph Library for Swift
Karpathy's LLM Wiki implementation plugin for Obsidian - turns notes and PDFs into a linked, LLM-powered knowledge base with entity pages, concept pages, graph-powered Q&A, and local-first privacy.
igraph R package
Algorithms written in Rust
An optimized graphs package for the Julia programming language
The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants
An embedded, openCypher-compatible graph workspace for Python & Node.js
High-performance C++20 + Python engine for dynamic and incremental graph analytics on evolving graphs — BFS, SSSP, connected components, triangles, k-core and PageRank.