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 Full documentation of PM4Py is available at http://pm4py.org/
## First Example A very simple example, to whet your appetite:
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”)
## 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](https://github.com/pm4py/pm4py-core/blob/release/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](https://github.com/pm4py/pm4py-core/blob/release/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.
Hashes for pm4pyminimal-18.104.22.168-py3-none-any.whl