Process Mining Python Packages

pyalpha

A process mining tool written in Python3

promoai

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.

openprocess

Process mining, Petri nets and coloured Petri nets in one desktop app. Draw WF-nets and check soundness, discover and check models from event logs, and simulate CPN Tools models. Pure Python + Qt, runs on macOS, Windows and Linux.

powl

POWL Miner: Process Discovery with the Partially Ordered Workflow Language

pm4py-ucm

Extends PM4Py to support the Use Case Map modeling notation, part of the User Requirements Requirements standard (ITU-T Z.151, 2018), with PNG visualizations (UCM and BPMN) and file generation for the jUCMNav tool.

declare4py

A Python package for declarative Process Mining with Machine Learning applications

traceroutine

Process mining for LLM agent traces: where the tokens and the time actually go

enc4ppm

Encode data for predictive process monitoring

objektviz

ObjektViz is an visualizer for object-centric process models

pbles

PALSYN is a tool that generates privacy-preserving, process-oriented synthetic data using Autoregressive Sequence Models and differential privacy techniques.

ordinor

Python toolkit for organizational model mining

smart-factory-faker

Smart Factory data Faker

open-agent-traces

Generate realistic multi-agent workflow traces with LLM-enriched content, semantic validation, and PM4Py compatibility. pip install open-agent-traces

skpm

A process mining library built upon scikit-learn!

proved

PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.

varexpm

A CLI-Tool for extracting context-based process variants from conventional event logs.