Process Mining Python Packages

openadapt

Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models

pyalpha

A process mining tool written in Python3

powl

POWL Miner: Process Discovery with the Partially Ordered Workflow Language

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.

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.

declare4py

A Python package for declarative Process Mining with Machine Learning applications

ordinor

Python toolkit for organizational model mining

enc4ppm

Encode data for predictive process monitoring

objektviz

ObjektViz is an visualizer for object-centric process models

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

pbles

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

proved

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

varexpm

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