Process Mining for Python (PM4Py)
# PM4Py 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.
## Documentation / API The documentation about PM4Py is offered at http://pm4py.org/
## First Example A very simple example, to whet your appetite:
log = pm4py.read_xes(‘<path-to-xes-log-file.xes>’)
net, initial_marking, final_marking = pm4py.discover_petri_net_inductive(log)
pm4py.view_petri_net(pnet, initial_marking, final_marking, format=”svg”)
## Installation PM4Py can be installed on Python 3.6.x / 3.7.x / 3.8.x by doing: pip install -U pm4py
## Release Notes To track the incremental updates, we offer a RELEASE_NOTES file.
## Third Party Dependencies 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.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size pm4pyminimal-2.1.0.tar.gz (374.5 kB)||File type Source||Python version None||Upload date||Hashes View|
|Filename, size pm4pyminimal-2.1.0-py3-none-any.whl (645.7 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
Hashes for pm4pyminimal-2.1.0-py3-none-any.whl