Automatic Graph Layout is a .NET library developed by Microsoft that provides tools for automatically generating layouts for graphs. The project addresses the challenge of effectively visualizing complex graph structures, making it easier to understand relationships between entities. Core functionality is provided through a .NET assembly and a set of viewer controls for both desktop and web applications.
MSAGL distinguishes itself through its modular design, providing separate components for core layout logic, drawing attributes, and various viewer controls (WPF, Windows Forms, and Web). The GraphMaps feature allows for visualizing very large graphs by progressively revealing detail during zooming. The project supports both desktop and web deployment, offering flexible visualization options.
- Core Layout Engine: Provides algorithms for automatically positioning nodes in a graph.
- WPF Graph Control: Offers interactive graph visualization with features like panning, zooming, and tooltips.
- Windows Forms Graph Viewer: Provides similar interactive visualization capabilities for Windows Forms applications.
- WebMSAGL: A JavaScript implementation for displaying graphs in web browsers, supporting programmatic graph creation and rendering.
- GraphMaps: Enables visualization of very large graphs by revealing detail on zoom.
- Extensible Drawing: Customizable appearance through configurable node and edge attributes.
- NuGet Packages: Easy integration into .NET projects through readily available NuGet packages.
The project has been actively developed for several years, with consistent releases and ongoing maintenance, as evidenced by recent commits and active issue tracking. Documentation includes samples and explains various features. Development is driven by a community and Microsoft research. The project demonstrates a stable and reliable foundation for graph visualization applications.
Automatic Graph Layout benefits developers working on applications that require visualizing and analyzing graphs, providing a toolset for creating interactive and informative graph visualizations. It’s valuable for representing relationships in various domains, providing clear data representations that are more intuitive to understand than raw data. Its flexibility, cross-platform support, and active community make it a robust choice compared to manual layout methods or limited charting libraries.