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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2.3.0rc2 pre-release

2.3.0rc1 pre-release

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2.1.4.1

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This version

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

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

1.2.6

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1.2.3

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0.2.3

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0.1.1

0.1

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