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 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 3.6.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.

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Release history Release notifications | RSS feed

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

2.7.11.11

2.7.11.10

2.7.11.9

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2.7.9.4

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2.7.9.2

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2.7.8.4

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2.7.8.2

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2.7.6

2.7.5.3

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2.7.5.1

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2.7.3

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2.7.1.1

2.7.1

2.7.0

2.6.1

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2.5.0

2.4.1

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2.3.0rc2 pre-release

2.3.0rc1 pre-release

2.2.32

2.2.31

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2.2.13.1

2.2.13

2.2.12

2.2.11.1

2.2.10.2

2.2.10.1

2.2.9

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2.2.7.2

2.2.7.1

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2.1.1

2.1.0.2

2.1.0.1

2.1.0

2.0.1.3

2.0.1.2

2.0.0

This version

1.5.2.3

1.5.2.2

1.5.2.1

1.5.2

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

1.3.2

1.3.1

1.3.0

1.2.13

1.2.12

1.2.11

1.2.10

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.28

1.1.27

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1.0.0

0.2.3

0.2.2

0.2.1

0.1.1

0.1

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