CLI tool for automated discovery of BPS models from event logs

A Python package for declarative Process Mining with Machine Learning applications

Survey and Benchmark of Anomaly Detection in Business Processes

A Python package for process-mining with DECLARE models.

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

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 :)

Reference catalogue of Business Capabilities, Value Streams, Business Processes by Industry. Exportable into Enterprise Architecture Solutions (LeanIX, Ardoq, TurboEA)

Python tool that generates interactive HTML checklists from YAML templates. Jinja conditionals, reusable includes, pluggable modules, built-in web server. Ideal for SOPs, deployments & recurring ops.

GAMA: A Multi-graph-based Anomaly Detection Framework for Business Processes via Graph Neural Networks

WAKE: A Weakly-supervised Business Process Anomaly Detection Framework via a Pre-trained Autoencoder

A parser from BPMN to Solidity smart contracts.

A prescriptive (outcome-based) process monitoring system that provides users with temporal recommendations among activities to perform in an ongoing process

Generate complex event processing (Siddhi) activity detection apps based on IoT data and expert annotations.

Django-based Business Process Management System

Repository of the paper. This repo contains the benchmarking results of the Process Extraction from Text tools tested in the paper.

AETHER: Adaptive Epistemic Trust for Human-AI Evaluation and Review

POWL Miner: Process Discovery with the Partially Ordered Workflow Language

Activity and Sequence Detection Evaluation Metrics: A package to evaluate activity detection results, including the sequence of events given multiple activity types.

A prescriptive (outcome-based) process monitoring system that provides users with temporal recommendations among activities to perform in an ongoing process.

Arion is a service to transform a set of Esper EPL queries into EQMN models. With a graphical model, even non-computer scientists can comprehend event queries, event types and the cause for an event.