Topoinvis TTK Hackathon: Experiences, Lessons Learned, and Perspectives

This paper documents the organization, the execution, and the results of the Topology ToolKit (TTK) hackathon that took place at the TopoInVis 2019 conference. The primary goal of the hackathon was to promote TTK in our research community as a unified software development platform for topology-based data analysis algorithms. To this end, participants were first introduced to the structure and capabilities of TTK, and then worked on their own TTK-related projects while being mentored by senior TTK developers. Notable outcomes of the hackathon were first steps towards Python and Docker packages, further integration of TTK in Inviwo, the extension of TTK with new algorithms, and the discovery of current limitations of TTK as well as future development directions.

Jonas Lukasczyk, Jakob Beran, Wito Engelke, Martin Falk, Anke Friederici, Christoph Garth, Lutz Hofmann, Ingrid Hotz, Petar Hristov, Wiebke Köpp, Talha Bin Masood, Małgorzata Olejniczak, Paul Rosen, Jan-Tobias Sohns, Julien Tierny, Tino Weinkauf, and Kilian Werner. Topoinvis TTK Hackathon: Experiences, Lessons Learned, and Perspectives. Topological Methods in Data Analysis and Visualization VI, 2021.

@article{lukasczyk2020ttk,
  title = {TopoInVis {TTK} Hackathon: Experiences, Lessons Learned, and Perspectives},
  author = {Lukasczyk, Jonas and Beran, Jakob and Engelke, Wito and Falk, Martin and
    Friederici, Anke and Garth, Christoph and Hofmann, Lutz and Hotz, Ingrid and Hristov,
    Petar and Köpp, Wiebke and Masood, Talha Bin and Olejniczak, Małgorzata and Rosen, Paul
    and Sohns, Jan-Tobias and Tierny, Julien and Weinkauf, Tino and Werner, Kilian},
  journal = {Topological Methods in Data Analysis and Visualization VI},
  year = {2021},
  abstract = {This paper documents the organization, the execution, and the results of
    the Topology ToolKit (TTK) hackathon that took place at the TopoInVis 2019 conference.
    The primary goal of the hackathon was to promote TTK in our research community as a
    unified software development platform for topology-based data analysis algorithms. To
    this end, participants were first introduced to the structure and capabilities of TTK,
    and then worked on their own TTK-related projects while being mentored by senior TTK
    developers. Notable outcomes of the hackathon were first steps towards Python and Docker
    packages, further integration of TTK in Inviwo, the extension of TTK with new
    algorithms, and the discovery of current limitations of TTK as well as future
    development directions.}
}