Abstract : Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Based on more than 15 years of research and development, Tulip is built on a suite of tools and techniques , that can be used to address a large variety of domain-specific problems. With Tulip, we aim to provide Python and/or C++ developers a complete library, supporting the design of interactive information visualization applications for relational data, that can be customized to address a wide range of visualization problems. In its current iteration, Tulip enables the development of algorithms, visual encodings, interaction techniques, data models, and domain-specific visualizations. This development pipeline makes the framework efficient for creating research prototypes as well as developing end-user applications. The recent addition of a complete Python programming layer wraps up Tulip as an ideal tool for fast prototyping and treatment automation, allowing to focus on problem solving, and as a great system for teaching purposes at all education levels.
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[Research Report] LaBRI - Laboratoire Bordelais de Recherche en Informatique. 2016
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David Auber, Romain Bourqui, Maylis Delest, Antoine Lambert, Patrick Mary, et al.. TULIP 4. [Research Report] LaBRI - Laboratoire Bordelais de Recherche en Informatique. 2016. 〈hal-01359308〉



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