GLRab

GLRab is a cross-platform open-source software library designed for graph-based analytics and visualization. It provides a core graph data model, a suite of analytics algorithms, and a visualization engine that leverages modern graphics hardware to render large networks. The project emphasizes interoperability, performance, and ease of use across research and production environments.

The project originated in 2019 through contributions from researchers in computer science and data visualization. It is maintained by the GLRab Foundation, a community-driven organization that coordinates development, documentation, and user support. GLRab aims to serve as a bridge between graph theory research and practical visualization and exploration tools.

Key features include support for directed and undirected graphs, weighted edges, and a rich API with C++ core and Python bindings. The visualization subsystem uses OpenGL to render dynamic layouts and interactive graphs. Included analytics cover layout algorithms, shortest paths, centrality measures, clustering, and streaming graph processing. GLRab is designed to interoperate with established tools and data sources, offering compatibility with formats and interfaces used by NetworkX, Neo4j, and other graph ecosystems.

The architecture is modular, separating the core graph model, analytics, and rendering layers. Bindings are available for Python (pyglrab) and Java, with cross-platform build support for Windows, macOS, and Linux. Distributions include binary wheels and source releases, with documentation and example projects to accelerate adoption.

GLRab is used in academic research, education, and lightweight industry applications for network analysis and visualization. It remains under active development, with ongoing enhancements to GPU-accelerated routines and extended interoperability. The project is released under an open-source license and governed by the GLRab Foundation.