A Python package for process-mining with DECLARE models.

A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain

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 p…

Amun is a framework that achieves privacy-preserving process mining using differential privacy.

DeepSimulator is a hybrid tool between DDS and DL techniques to simulate business processes

Support to the OCEL standard

DES for healthcare units

Python package with event log distance and similarity metrics

Conformance checking for data Petri nets

DALG: The Data Aware Event Log Generator

Event Data Discovery Tools from databases. This project includes a generic importer from databases to OpenSLEX and event discovery features.

A reproduction repository for MIMIC III ETL

High-Utility Anonymization of Event Logs for Process Mining via Subsampling

Visualisation package for process mining

Implementations of algorithms for aligning observation traces to time Petri net process models, over several metrics.

Generation of Process Event Streams and Time Series Data based on Neural Networks

Process mining for Koalas

A heuristic one dimensional clustering algorithm called DDCAL (Density Distribution Cluster Algorithm) written in Python