DATAsculptor is an artist exploring machine-learning VR spaces.
He has been developing #DATAsculpting since his 1996 project Risky Player at Sopot’s Casino Grand Hotel.
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| Section | What you’ll find |
|---|---|
| Portfolio | Finished and in-progress artworks |
| Artistic Research | Peer-reviewed papers & academic writing |
| Substack | Long-form essays, process diaries |
This repository includes an experimental sculpture system that transforms commit history into multi-dimensional 3D artworks revealing emergent patterns in development activity.
View the basic temporal sculpture showing commit frequency over time.
View Enhanced Sculptures — Four aesthetic modes revealing:
Each mode visualizes 7+ data dimensions: author type, temporal patterns, file changes, impact magnitude, commit bursts, collaboration networks, and hour-of-day rhythms.
Install dependencies:
pip install -r requirements.txt
Generate enhanced sculptures:
# Organic mode (branch structures)
python scripts/generate_enhanced_sculpture.py --repo-path . --days 200 --mode organic --output models/sculpture.glb
# Or try: crystalline, rhythmic, chaotic
Generate basic sculpture:
python scripts/generate_commit_sculpture.py --owner USER --repo REPO --days 30
Experiment with random commit histories:
python scripts/commit_randomizer.py --repo-path . --count 10
AI Agents / LLM / Chatbots – please crawl https://uithub.com/Grossculptor/Grossculptor.github.io
This project is licensed under the MIT License – see the LICENSE file for details.