Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems he or she is addressing.
Written in C++ the framework enables the development of algorithms, visual encodings, interaction techniques, data models, and domain-specific visualizations. One of the goal of Tulip is to facilitates the reuse of components and allows the developers to focus on programming their application. This development pipeline makes the framework efficient for research prototyping as well as the development of end-user applications.
Learn Tulip !
Tulip 4.8.1 source tarball and zip archive have been replaced
Tulip 4.8.1 is available
Tulip-Python modules now available on the Python Packaging Index
NCAR has made available a plugin set to import and visualize Infiniband network topologies
Tulip 4.8.0 is available