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Book Sections Year : 2017


Daniel Archambault
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  • PersonId : 1024348
Antoine Lambert
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  • PersonId : 1024349


Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Based on more than 16 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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hal-01654518 , version 1 (06-12-2017)



David Auber, Daniel Archambault, Romain Bourqui, Maylis Delest, Jonathan Dubois, et al.. TULIP 5. Reda Alhajj; Jon Rokne. Encyclopedia of Social Network Analysis and Mining, Springer, pp.1-28, 2017, 978-1-4614-7163-9. ⟨10.1007/978-1-4614-7163-9_315-1⟩. ⟨hal-01654518⟩
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