An overview of the Topology ToolKit
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This software paper gives an overview of the features supported by the Topology ToolKit (TTK), which is an open-source library for topological data analysis (TDA). TTK implements, in a generic and efficient way, a substantial collection of reference algorithms in TDA. Since its initial public release in 2017, both its user and developer bases have grown, resulting in a significant increase in the number of supported features. In contrast to the original paper introducing TTK [40] (which detailed the core algorithms and data structures of TTK), the purpose of this software paper is to describe the list of features currently supported by TTK, ranging from image segmentation tools to advanced topological analysis of high-dimensional data, with concrete usage examples available on the TTK website [42]. |
[DOI/EE link]
@incollection{MBFFGGGHHKKKLLLSSSTUVW21,
author = {Talha Bin Masood and Joseph Budin and Martin Falk and Guillaume Favelier and Christoph Garth and Charles Gueunet and Pierre Guillou and Lutz Hofmann and Petar Hristov and Adhitya Kamakshidasan and Christopher Kappe and Pavol Klacansky and Patrick Laurin and Joshua A. Levine and Jonas Lukasczyk and Daisuke Sakurai and Maxime Soler and Peter Steneteg and Julien Tierny and Will Usher and Jules Vidal and Michal Wozniak},
booktitle = {Topological Methods in Data Analysis and Visualization VI -- Theory, Applications, and Software},
day = {29},
editor = {Ingrid Hotz and Talha Bin Masood and Filip Sadlo and Julien Tierny},
ee = {https://dx.doi.org/10.1007/978-3-030-83500-2_16},
month = {9},
pages = {327--342},
publisher = {Springer},
title = {An overview of the {T}opology {ToolKit}},
year = {2021}
}