DiamG

DiamG is a cross-disciplinary software framework designed for graph data analysis and visualization. It provides a modular environment for storing, querying, and visualizing large networks, integrating with popular database backends and data formats. DiamG is developed with a focus on scalability, interactivity, and extensibility.

Overview and history: The project originated in research contexts in the mid-2010s and was released publicly in 2017. Version 2 introduced a new core engine and a plugin architecture; Version 3 added GPU-accelerated rendering and expanded bindings for Python and JavaScript.

Architecture and data model: DiamG uses a property graph model, where nodes and edges carry attributes. The core engine supports in-memory and disk-based graphs, with a query language called DGQL, and REST- and GraphQL-like APIs. The architecture is modular, with a core runtime, visualization layer, and a plugin system for data sources, analyses, and renderers.

Features and usage: It offers interactive graph visualization, layout algorithms, path and community analyses, and streaming data support. Users can build dashboards, export visuals, and integrate with Jupyter notebooks or web apps. DiamG is used in academic research, network science, urban planning, cybersecurity, and biology networks.

Reception and licensing: DiamG is released under an open-source license and maintained by a community of contributors. It is distributed via public repositories, with ongoing development focusing on performance, accessibility, and interoperability with other data tools.