Tunny is an optimization component for Grasshopper
powered by Optuna, an open-source hyperparameter optimization framework.
Tunny brings state-of-the-art optimization algorithms directly into your parametric design workflow.
Whether you're optimizing structural performance, energy efficiency, or form — Tunny handles the heavy lifting.
- 🎯 Multi-objective optimization — Find Pareto-optimal solutions with ease
- 📊 Rich visualization — Built-in dashboards powered by Optuna's web UI
- ⚡ Fast & flexible — Supports Bayesian, CMA-ES, NSGAx, and more
- 🔌 Grasshopper-native — Works seamlessly within Rhino/GH workflows
| Repo | Description |
|---|---|
| Tunny-v1 | Current release (v1.x) — closed source |
| Tunny_in_Open_Sea | v0 — fully open source (C#) |
Workshop slides, notebooks, and course materials for learning Tunny.
| Repo | Event | Year |
|---|---|---|
| AEC_Tech_NYC_2025_Virtual-Workshop | AEC Tech NYC 2025 (Virtual) | 2025 |
| Tunny-Master-Course_2024 | Tunny Master Course | 2024 |
| Tunny-hands-on_2022 | Tunny Hands-on | 2022 |
- 🏠 Website: tunny.hrntsm.com
- 📬 Contact: support@hrntsm.com
- 🗾 Based in Japan
"Swimming through data to find the global optimum." 🐟✨