Process Mining for Python (PM4Py)

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# 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:

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”)

## 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.

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2.7.12.1

2.7.12

2.7.11.14

2.7.11.13

2.7.11.13rc1 pre-release

2.7.11.12

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This version

2.1.4

2.1.3.2

2.1.3.1

2.1.3

2.1.2

2.1.1

2.1.0.2

2.1.0.1

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1.5.2.3

1.5.2.2

1.5.2.1

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1.5.1

1.5.0.1

1.4.1.1

1.4.1

1.4.0

1.3.5.2

1.3.5.1

1.3.5

1.3.4

1.3.3

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1.3.0

1.2.13

1.2.12

1.2.11

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0.2.3

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0.1.1

0.1

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