Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Python.

Token replay animation for process maps created with processmapR by using SVG animations (SMIL) and the htmlwidget package.

A Business Processes and Logs Generator

Python Implementation of Decay Replay Mining (DREAM)

Performance Spectrum Miner

Python Process Mining suite (dirty alpha implementation)

R Interface between bupaR and the PM4Py Process Mining library

This repository generates process mining event log features. Most of the features have been extracted from several process mining scientific papers. Please feel free to use these features in your process mining projects and contribute to the project, if you develop new ideas :)

Rust4PM: Rust for Process Mining. See also the example applications at https://github.com/aarkue/rust4pm_demos.

Bachelor Thesis by Jihoon Yang at PADS chair of RWTH Aachen University

Process Mining Tool with Computer-assisted Guidance

Event log preprocessing for privacy-aware process discovery

SimuBridge - A Bridging Platform between Process Mining and Business Process Simulation

Decay Replay Mining to Predict Next Process Events

The framework implements in a coherent manner several state-of-the-art sequential deep learning approaches (LSTM, Seq-AE, Seq-AE-GAN, Transformer, BERT, GPT, WaveNet) for process prediction. These are implemented in Python and PM4Py and provide a starting point for process prediction.

Project structure and initial code for predictive process monitoring with PM4Py and PyTorch.

AdVersarial system vArianT AppRoximation - A novel method to measure the generalization of process models

TIBCO LABS™ Project Discover, Business Process Mining

Implementation result of article : Trace Clustering based on Conserved Patterns: Towards Achieving Better Process Models

A stream-based process mining system written in Go. It collects events from various sources and traces the underlying discovered process models over time.