GATs over event logs. Next-event prediction · bottleneck detection · conformance · Q-learning. PyTorch + PM4Py + Rust (588× on per-case loops).
Python Implementation of Decay Replay Mining (DREAM)
R Interface between bupaR and the PM4Py Process Mining library
Generate realistic multi-agent workflow traces with LLM-enriched content, semantic validation, and PM4Py compatibility. pip install open-agent-traces
Example of integration between bpmn-visualization and pm4py
Repository for Fuzzy Miner Web application.
Bachelor Thesis by Jihoon Yang at PADS chair of RWTH Aachen University
This tutorial meant as an introduction to process mining using PM4PY library in Python
AdVersarial system vArianT AppRoximation - A novel method to measure the generalization of process models
Customer journey analysis with PM4PY in Python.
Minimal, open-source end-to-end process mining pipeline using a real database, SQL/Python transformations, event-log export, and PM4Py process discovery.
AdVersarial system vAriant AppRoximation
Process mining on Brazilian judiciary case data — builds XES event logs from the public dataset and runs the analysis pipeline behind my Ph.D. research.
Jupyter Notebook usando a biblioteca PM4PY ensinando sobre os conceitos básicos sobre Rede de Petri.
Brings Process Mining to Home Assistant as Add-On!
Application of basic Process Mining techniques and algorithms in PM4Py
Process mining pipeline: discovery, conformance checking (as-is vs to-be), KPI/bottleneck analysis, and a Streamlit dashboard for ERP-style event logs (O2C/P2P).
Process mining techniques for analyzing business processes and make them more efficient
This repository contains a process mining analysis of a loan application process, based on the BPI Challenge 2012 event log. The primary goal is to dissect the process flow, identify inefficiencies, bottlenecks, and rework loops using Python and the pm4py library.
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