Extensions to the bupaR Ecosystem: An Overview

Gert Janssenswillen, F. Mannhardt, Mathijs Creemers, Benoît Depaire, Mieke Jans, Leen Jooken, Niels Martin, Greg Van Houdt

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)


Over the past few year, bupaR - the open-source R-ecosystem for process analysis - has seen a considerable increase in functionalities and users. It has been one of the first successful tools for script-based process analytics, and can currently be seen as the state-of-the-art tool for process analysis in R and an important player in the open-source process mining tool landscape. With a user-base consisting largely of professional process analysts, the ecosystem has helped to increase the adoption of process mining in a broad range of fields. In this demonstration, we highlight recent extensions to the ecosystem that will further increase its usefulness for practitioners during their process mining projects.

Original languageEnglish
Title of host publicationProceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020)
Number of pages4
Publication statusPublished - 2020

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073


  • BupaR
  • Data quality
  • Knowledge management
  • R
  • process analytics


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