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Book Sections Year : 2017

TULIP 5

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

Abstract

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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Dates and versions

hal-01654518 , version 1 (06-12-2017)

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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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