import pm4py
if __name__ == "__main__":
log = pm4py.read_xes('<path-to-xes-log-file.xes>')
process_model = pm4py.discover_bpmn_inductive(log)
pm4py.view_bpmn(process_model)
pm4py has integrated with NVIDIA RAPIDS to speed up process mining tasks using GPUs. This means users can now do their analyses quicker on systems that have NVIDIA CUDA and RAPIDS. This update improves speed for analyzing both traditional and object-centric event logs. No extra setup is needed to start using this faster implementation.
We're excited to announce the publication of a new paper titled PM4Py: A process mining library for Python in Software Impacts (Elsevier). Authored by Alessandro Berti, Sebastiaan van Zelst, and Daniel Schuster. This paper provides a detailed overview of PM4Py's features and advancements.
We are regularly releasing various pm4py tutorials on Youtube!
Read this interesting article introducing process mining in python using pm4py!