PM4Py: A process mining library for Python']Python

被引：29
作者：
Berti, Alessandro [1 ]
van Zelst, Sebastiaan [1 ]
Schuster, Daniel [1 ,2 ]
机构：
[1] Fraunhofer Inst Appl Informat Technol FIT, St Augustin, Germany
[2] Fraunhofer Inst Appl Informat Technol FIT, D-53757 St Augustin, Germany
来源：
SOFTWARE IMPACTS | 2023年 / 17卷
关键词：
Process mining; Open-source software; Data analysis; Event data; PROCESS MODELS; PRECISION;
D O I：
10.1016/j.simpa.2023.100556
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
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页数：7
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