Process Mining Python Packages

powl

POWL Miner: Process Discovery with the Partially Ordered Workflow Language

pyalpha

A process mining tool written in Python3

openadapt

GUI automation with ML - record, train, deploy, evaluate

promoai

ProMoAI: Process Modeling with Generative AI

datasynth-py

High-performance synthetic enterprise data generator. Produces 100+ interconnected financial tables — GL journal entries, document flows, subledgers, banking/KYC/AML, process mining (OCEL 2.0), graph exports (PyTorch Geometric, Neo4j), and 20+ process chains — with Benford's Law compliance, ACFE-aligned fraud labels, and formal privacy guarantees.

declare4py

Python library to perform discovery, conformance checking and query checking of DECLARE constraints.

objektviz

ObjektViz is an visualizer for object-centric process models

ordinor

Python toolkit for organizational model mining

enc4ppm

Encode logs for predictive process monitoring

pbles

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

open-agent-traces

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

smart-factory-faker

Smart Factory data Faker

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.