Fractals
Chaotic Attractors
Visualize nonlinear systems as projected trajectories and density plots, with family-specific parameters and shareable attractor states.
Scratchpad (not saved)
Save to create a persistent, shareable workspace.
Attractor Viewport
The current parameter set is simulated into a density image, with color indicating structure across the orbit. Wheel to zoom and drag to pan.
0 samplesLorenz1.00x zoom0 ms
Lorenz
140,000 simulated steps
Peak density 0
Equation
Chaotic attractors come from deterministic rules, but small differences in starting conditions expand into very different trajectories.
Current View
- Family
- Lorenz
- Samples
- 0
- Peak density
- 0
Exploration Tips
- Change one parameter slightly and compare the resulting basin before changing another.
- Lorenz benefits from smaller `dt` and more steps when you want cleaner wing structure.
- Wheel to zoom and drag to pan when you want to inspect dense local filaments.