Research by the information visualization community has shown that using a visual representation of data-sets enables faster analysis by the end users. Tulip, created by David AUBER, is a contribution to the area of information visualization, “InfoViz”.
Tulip offers the following features:
- Visualization and edition of graphs. All parts of the framework have been built with large graphs in mind, up to 10.000.000 elements.
- Navigation through geometric operations, extraction of subgraphs, filtering to change the representation.
- Metric computation, layout, selection, extraction of view and subgraphs.
- Graph management: one can work on several graphs at once, import and export them in various formats (including CSV, GML, dot, snapshots)
- Plugin architecture: one can add new algorithms (generate a graph, spatialize it (i.e. layout), compute a metric...), ways of interactions, views
- Scripting in Python, from within the GUI