procx 0.1.0

Object-Centric and Explainable Process Mining for Python

🧠 ProcX

ProcX is a Python package for Object-Centric and Explainable Process Mining. It enables flexible modeling of real-world processes with multiple object types, activity variants, and insightful visualization tools.

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📦 Installation

pip install procx

Or install from source:

git clone https://github.com/yourusername/procx.git
cd procx
pip install .

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🚀 Features

• Load and flatten OCEL logs
• Filter events by object type, activity, and time
• Generate object-centric graphs
• Visualize variant frequencies
• Explore metrics interactively via dashboard

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🛠️ Basic Usage

from procx.io.loader import load_ocel_json
from procx.preprocessing.transformer import flatten_ocel
from procx.ocpm.model_builder import build_object_graph

# Load event log
events, objects = load_ocel_json("your_file.json")

# Flatten for a specific object type
flat_df = flatten_ocel(events, "Patient")

# Build and analyze graph
G = build_object_graph(flat_df)

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📊 Run the Dashboard

cd dashboard
streamlit run app.py

Upload your OCEL JSON file and interactively filter, analyze, and download results.

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🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Open a pull request

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📄 License

MIT License