Awesome Process Mining with Python

A collection of awesome resources for process mining.
Collecting Github and Non-GitHub resources

Inspired by awesome-python.

What is Process Mining (PM) ?
→ process of extracting valuable information from event logs/databases that are generated by processes.

• process discovery: analysing event data to see how a process actually looks like
• conformance checking: comparing mined process to the reference model (=the process how it should be)
• prediction: predicting e.g the state or point of time a future event has/occurs

Why Process Mining ?

• → identifying hidden nodes and bottlenecks in business processes.

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Process Mining Resources

• Companies providing process mining software
• Open source libraries
• Tools
• Jupyter Notebooks
• Resources to learn more about PM
• Future Trends in Process Mining

PM-companies

commercial process mining software

• Celonis - company specialized on process mining founded 2011 in Munich, Germany (market leader)

  • PAFnow - company offers PM-software integrable into Power BI, founded 2014, acquired by Celonis 03/2022

• Appian - former Lana Labs, data can be integrated into their PM-software via open API, founded 2016 in Berlin, Germany

• QPR Software - software & consulting company for business processes & trategy founded 1991, Helsinki, Finnland

• UI Path ProcessMining

  • UI Path acquired ProcessGold in 2020 - company offers process mining tool Eindhoven, Netherland

• ARIS Process Mining - ARIS belongs to Software AG, PM seems to only play a smaller part in the bigger ARIS suite that offers a wide variety of process modeling solutions (e.g. BPMN etc.)

• SAP Signavio - start-up focused on Process Intelligence, acquired by SAP in 01/2021

partially commercial process mining software

• Disco (Fluxicon) - 2-person company dedicated to process mining, NS Eindhoven, Netherlands

💡 Product Matrix for Process Mining Products

Open-source-libraries

libraries with free oder partially free editions

• ProM - framework that supports a wide variety of process mining techniques in the form of plug-ins
• Apromore - collaborative business process analytics platform, free community edition
• BupaR - handling and analysis of business process data with R
• PM4Py - Python library that contains process mining alorithms for python
• pmlab - interactive programming environment for (exploratory) process mining
• RapidProM - Process Mining as an extension for the data science framework RapidMiner

Tools

single implementations of certain process mining alorithms, that could help in certain fields of application

• pyalpha - Python tool that generates a Petri net using the Alpha Algorithm from event logs
• csv2xes - python tool converting .csv file to .xes

JupyterNotebooks

collection of nice process mining relevant jupyter notebooks

• alpha miner implementation.ipynb - implementation of alpha miner alorithm, input is csv, visualization of petri-net output with graphviz and sankes plugins
• pmlab-exercises - code snippets for usage of PMLab library mentioned unter Libraries

FurtherResources

collection of free information, books etc. about process mining

• Process Mining Book
• International Conference on Process Mining (ICPM)
• Video explaining how the very first PM-algorithm Alpha Miner works

FutureTrends

possible future developments in the area of process mining

• interation of Machine Learning Technologies
  • to detect e.g. anomalies in process chains (e.g. fraud detection)
  • deviations to desired throughput time within certain process automatically trigger a recommended action