Metadata-Version: 2.1
Name: pm4py
Version: 1.0.17
Summary: Process Mining for Python
Home-page: http://www.pm4py.org
Author: PADS
Author-email: pm4py@pads.rwth-aachen.de
License: GPL 3.0
Project-URL: Documentation, http://pm4py.pads.rwth-aachen.de/documentation/
Project-URL: Source, https://github.com/pm4py/pm4py-source
Project-URL: Tracker, https://github.com/pm4py/pm4py-source/issues
Platform: UNKNOWN
Requires-Dist: pyvis
Requires-Dist: networkx (>=2.2)
Requires-Dist: matplotlib (==2.2.2)
Requires-Dist: numpy
Requires-Dist: ciso8601
Requires-Dist: cvxopt
Requires-Dist: lxml
Requires-Dist: graphviz
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: scikit-learn

Welcome to Process Mining for Python!

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.

You can always check out (changes to) the source code at the github repo.

A very simple example, to whet your apetite:

from pm4py.algo.discovery.alpha import factory as alpha_miner
from pm4py.objects.log.importer.xes import factory as xes_importer
from pm4py.visualization.petrinet import factory as vis_factory

log = xes_importer.import_log('<path-to-xes-log-file>')
net, initial_marking, final_marking = alpha_miner.apply(log)
gviz = vis_factory.apply(net, initial_marking, final_marking)
vis_factory.view(gviz)

