A universal laboratory for exploring chaotic attractors with real-world data. Mix and match any dataset with any attractor type to discover emergent patterns in chaos.
Chaotic attractors are mathematical systems that exhibit sensitive dependence on initial conditions—tiny changes lead to vastly different outcomes. Despite their unpredictability, they form beautiful, structured patterns in phase space.
Classic: Lorenz (butterfly), Rössler (spiral), Chua (double scroll from electronics)
Lorenz Family: Chen, Lü (bridge system), Burke-Shaw
Multi-Wing: Four-Wing, Dadras (tri-scroll), Dequan-Li (complex), Rucklidge, Tsucs (three-scroll)
Geometric: Aizawa (torus knot), Thomas (cyclical), Halvorsen (tetrahedral), Newton-Leipnik
Physics: Nosé-Hoover (molecular dynamics), Shimizu-Morioka (laser), Rabinovich-Fabrikant (plasma)
Simple: Sprott (minimal), Genesio-Tesi, Arneodo, Bouali (wing)
Iterative Maps: Clifford (fractal), De Jong (classic), Pickover (gnarled)
Environmental: Climate, Weather, Ocean, Tides, Solar
Financial: Economic, Stocks, Crypto
Physical: Seismic, Orbital, Traffic, Power Grid
Biological: Heart Rate/ECG, Brain Waves/EEG, Pandemic
Digital: Wikipedia Trends, Live Audio
Real-world data modulates the chaos parameters of the selected attractor system. Each dataset-attractor combination has curated defaults that produce clear, beautiful visualizations.
• Space — Play/pause animation
• R — Random combination
• Ctrl+Z (or Cmd+Z) — Undo last change
• F — Toggle fullscreen
• Escape — Close this dialog
• Arrow keys — Rotate view (when canvas focused)
• Drag to rotate the 3D view
• Shift+Drag or Right-click drag to pan
• Scroll to zoom in/out
• Touch: 1-finger rotate, 2-finger pan/zoom