PPolySim OS

Spatial Predator–Prey

Predators chase prey across a landscape. Unlike the well-mixed equations, space creates chasing waves, refuges, and boom-bust patches.

Spatial Predator–PreyLive

Controls

Prey (green) spread; predators (red) hunt them and starve without food. Spatial structure creates traveling waves the classic equations can't show.

Presets

▶ Run in Python

Data Inspector

Prey0
Predators0
Grid140×140

Lotka–Volterra (mean field)

Reading this result: Predators have died out — with starvation at 0.02 they could not reach prey fast enough, so prey now fill the grid unchecked.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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How it works

This agent-based model puts prey and predators on a grid: prey reproduce into empty cells, predators convert adjacent prey and starve without food. Spatial structure produces spiral and traveling waves that the classic Lotka–Volterra equations — which assume perfect mixing — cannot capture.

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Frequently asked questions

Is this predator prey simulation tool really free?▾
Yes. Spatial Predator–Prey runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?▾
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?▾
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?▾
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.