yFiles - From Data to Meaningful Visualizations (Software Abstract)

Authors Evmorfia Argyriou , Benjamin Niedermann



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LIPIcs.GD.2024.55.pdf
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Author Details

Evmorfia Argyriou
  • yWorks GmbH, Tübingen, Germany
Benjamin Niedermann
  • yWorks GmbH, Tübingen, Germany

Cite AsGet BibTex

Evmorfia Argyriou and Benjamin Niedermann. yFiles - From Data to Meaningful Visualizations (Software Abstract). In 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 320, pp. 55:1-55:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/LIPIcs.GD.2024.55

Abstract

Graph visualizations help with complex data analysis but often require expert knowledge to apply and configure advanced algorithms. yFiles, a diagramming SDK, bridges this gap by enabling developers to create interactive visualizations easily. This work demonstrates how yFiles helps transform raw data into accessible graph visualizations.

Subject Classification

ACM Subject Classification
  • Mathematics of computing → Graph algorithms
Keywords
  • diagramming SDK
  • layout algorithms
  • interactive graph visualization

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References

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