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  4. PM4Py: A process mining library for Python
 
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2023
Journal Article
Title

PM4Py: A process mining library for Python

Abstract
PM4Py is a Python library providing a comprehensive array of tools for process mining. This paper presents an in-depth overview of the PM4Py library, including its integration with other Python libraries and its latest features, such as object-centric process mining. Furthermore, we discuss the significant impact of PM4Py within academia, industry, and the open-source community, evidenced by its wide adoption and substantial evolution. In short, the PM4Py library is an essential tool for researchers and practitioners, paving the way for advancements in process mining.
Author(s)
Berti, Alessandro
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Zelst, Sebastiaan van  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Schuster, Daniel  orcid-logo
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Journal
Software impacts  
Open Access
DOI
10.1016/j.simpa.2023.100556
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Keyword(s)
  • Data analysis

  • Event data

  • Open-source software

  • Process mining

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