A collection of awesome resources for process mining
-
Updated
Mar 24, 2024
A collection of awesome resources for process mining
Apromore Open-Source Core Edition
Machine learning around business processes
GATs over event logs. Next-event prediction · bottleneck detection · conformance · Q-learning. PyTorch + PM4Py + Rust (588× on per-case loops).
An AI-powered process mining suite that converts natural language to process models and uses autonomous agents to analyze event logs and generate actionable process insights.
CLI tool for automated discovery of BPS models from event logs
A fast, two-step algorithm for the automated discovery of, and reasoning on, declarative rules of process and system behaviour
Process Mining for Javascript
A Python package for declarative Process Mining with Machine Learning applications
Plugboard is an event driven modelling and orchestration framework in Python for simulating and driving complex processes with many interconnected stateful components.
Rust4PM: Rust for Process Mining. For more details, documentation and the Python/Web UI Bindings visit https://rust4pm.aarkue.eu/!
Python Implementation of Decay Replay Mining (DREAM)
A process mining library built upon scikit-learn!
A process mining tool written in Python3
Performance Spectrum Miner
Process Map Visualization of event analysis in R
Process mining module for Python.
A Python package for process-mining with DECLARE models.
Add a description, image, and links to the process-mining topic page so that developers can more easily learn about it.
To associate your repository with the process-mining topic, visit your repo's landing page and select "manage topics."