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pm4py-core's Introduction

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:

import pm4py

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 3.7.x / 3.8.x / 3.9.x by doing:

pip install -U pm4py

Release Notes

To track the incremental updates, we offer a CHANGELOG file.

Third Party Dependencies

As scientific library in the Python ecosystem, we rely on external libraries to offer our features. In the /third_party folder, we list all the licenses of our direct dependencies. Please check the /third_party/LICENSES_TRANSITIVE file to get a full list of all transitive dependencies and the corresponding license.

pm4py-core's People

Contributors

fit-alessandro-berti avatar fit-sebastiaan-van-zelst avatar fit-daniel-schuster avatar marcopegoraro avatar s-j-v-zelst avatar javert899 avatar t0asty avatar madhubs08 avatar jdaniloc avatar phi1-h avatar eduardogoulart1 avatar lschade avatar fmannhardt avatar chiaods avatar fit-pm4py avatar victorshima avatar lsabi avatar adambanham avatar denzoned avatar gregvanhoudt avatar jankruska avatar boltmaud avatar selenecodes avatar yjdave avatar hemnemne avatar hyl6688 avatar jwllee avatar

Watchers

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