Tunny v1.4.2 has been released! Added 8 new samplers (PSO, Grey Wolf, Whale, TuRBO, CARBO, Robust GP, SPEA-II, HypE), local license support, and significantly improved Python environment performance! Download here!!
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The next-gen Grasshopper optimization tool.

Reveals design space and solution space at high speed

Tunny Icon
Multi-objective optimization with constraint.
The only one that supports Bayesian optimization.
Powerful result analysis function.
Do not throw away previous results. Can Restart optimization

Tunny includes previously unseen features such as constrained multi-objective optimization, Quasi-MonteCarlo sampling and dashboards for results analysis etc.

More than a tool — we help you optimize

Beyond the documentation and licenses, we also offer hands-on customization and optimization consulting. If Tunny's standard features don't fully fit your workflow, we can help you get the most out of it.

🛠️ Customization

Custom samplers, components, and integrations tailored to your project. We can adapt Tunny to your specific design and analysis pipeline.

📈 Optimization Consulting

Guidance on problem formulation, algorithm selection, and result analysis so you can reach better designs faster — from a first setup to production-scale studies.

Talk to us about consulting

Tell us about your project at support@hrntsm.com and we'll get back to you.

Getting Started

From version 1, Tunny supports both mac and windows.

  1. 1. Download Tunny from Purchase page
  2. 2. Drag and Drop the downloaded ".yak" file into the Rhino.
  3. 3. Restart Rhino.
  4. 4. In Grasshopper, Place the Tunny component and double-click the icon to start downloading the necessary libraries.
  5. 5. Enjoy!

Please see the documentation page for more details!