PM4Py is a python library that supports (state-of-the-art) process mining algorithms in python. It is completely open source and intended to be used in both academia and industry projects. PM4Py is a product of the Fraunhofer Institute for Applied Information Technology.
Full documentation of PM4Py is available at http://pm4py.org/
A very simple example, to whet your appetite:
import pm4py
log = pm4py.read_xes('<path-to-xes-log-file.xes>')
process_model, initial_marking, final_marking = pm4py.discover_petri_net_inductive(log)
pm4py.view_petri_net(process_model, initial_marking, final_marking, format="svg")
PM4Py can be installed on Python 3.6.x / 3.7.x / 3.8.x by doing:
pip install -U pm4py
To track the incremental updates, we offer a RELEASE_NOTES file.
As scientific library in the Python ecosystem, we rely on external libraries to offer our features. Please check the README.THIRD_PARTY.md file in order to know the dependencies and their license.