Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Python.
-
Updated
Nov 5, 2026 - Python
GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
processminingHere are 66 public repositories matching this topic...Language: All
Filter by language
Sort: Most stars
Sort options
Token replay animation for process maps created with processmapR by using SVG animations (SMIL) and the htmlwidget package.
Rust4PM: Rust for Process Mining. For more details, documentation and the Python/Web UI Bindings visit https://rust4pm.aarkue.eu/!
A Business Processes and Logs Generator
Python Implementation of Decay Replay Mining (DREAM)
events data-science machine-learning data-mining deep-learning prediction python3 processmining petri-nets discrete-event process-mining eventlogs xes pm4py processmodels decay-replay
Performance Spectrum Miner
research event-data performance-visualization processmining performance-analysis visual-analytics process-mining
R Interface between bupaR and the PM4Py Process Mining library
Python Process Mining suite (dirty alpha implementation)
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 :)
processmining process-mining eventlog business-process-management feature-generation process-analysis process-data
SimuBridge - A Bridging Platform between Process Mining and Business Process Simulation
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
Project structure and initial code for predictive process monitoring with PM4Py and PyTorch.
Decay Replay Mining to Predict Next Process Events
python prediction processmining publication process-mining academia dream eventlogs petrinets processmodels operational-support decay-replay-mining
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.
AdVersarial system vArianT AppRoximation - A novel method to measure the generalization of process models
python avatar artificial-intelligence variants neural-networks petri-net processmining gans ground-truth playout generalization conformance sequence-gan process-discovery pm4py conformancechecking train-variants
TIBCO LABS™ Project Discover, Business Process Mining
A reproduction repository for MIMIC III ETL
Implementation result of article : Trace Clustering based on Conserved Patterns: Towards Achieving Better Process Models
python clustering processmining maximal-repeat maximal-pair super-maximal-repeat near-super-maximal-repeat
Add this topic to your repoTo associate your repository with the processmining topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |