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awesome-processmining's Introduction

Awesome Process Mining with Python Awesome

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


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

FurtherResources

collection of free information, books etc. about process mining

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

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