Skip to main content

Process Mining for Python (PM4Py)

Project description

# 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pm4pyminimal-2.1.2.tar.gz (383.5 kB view hashes)

Uploaded source

Built Distribution

pm4pyminimal-2.1.2-py3-none-any.whl (658.5 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page