Process Mining for Python

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Welcome to Process Mining for Python!

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.

The official website of the library is http://pm4py.org/

You can always check out (changes to) the source code at the github repo.

A very simple example, to whet your appetite:

from pm4py.algo.discovery.alpha import factory as alpha_miner from pm4py.objects.log.importer.xes import factory as xes_importer from pm4py.visualization.petrinet import factory as vis_factory

log = xes_importer.import_log(‘<path-to-xes-log-file>’) net, initial_marking, final_marking = alpha_miner.apply(log) gviz = vis_factory.apply(net, initial_marking, final_marking) vis_factory.view(gviz)

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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

2.7.11.8

2.7.11.7

2.7.11.6

2.7.11.5

2.7.11.4

2.7.11.3

2.7.11.2

2.7.11.1

2.7.11

2.7.10.3

2.7.10.2

2.7.10.1

2.7.9.4

2.7.9.3

2.7.9.2

2.7.9.1

2.7.8.4

2.7.8.3

2.7.8.2

2.7.8.1

2.7.8

2.7.7

2.7.6

2.7.5.3

2.7.5.2

2.7.5.1

2.7.5

2.7.4

2.7.3

2.7.2

2.7.1.1

2.7.1

2.7.0

2.6.1

2.6.0

2.5.3

2.5.2

2.5.1

2.5.0

2.4.1

2.4.0

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.3.0rc2 pre-release

2.3.0rc1 pre-release

2.2.32

2.2.31

2.2.30

2.2.29

2.2.28

2.2.27

2.2.26

2.2.25

2.2.24

2.2.23.1

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2.2.20.1

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2.2.16

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2.2.15

2.2.14

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

2.2.8

2.2.7.2

2.2.7.1

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2.2.6.1

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2.1.1

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2.1.0

2.0.1.3

2.0.1.2

2.0.0

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

This version

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

1.1.26

1.1.25

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1.1.23

1.1.22

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1.1.14

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1.1.9

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1.1.5

1.1.4

1.1.3

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1.1.1

1.1.0

1.0.25

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1.0.13

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1.0.9

1.0.6

1.0.5

1.0.4

1.0.3

1.0.0

0.2.3

0.2.2

0.2.1

0.1.1

0.1

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