Random Number Generation Suite
Seeded randomness with Gaussian distributions, Perlin noise visualization, and interactive seed control.
🎲 This example showcases random generation capabilities of the play.ts library
Random Floats (0-100)
Random Integers (1-100)
Random Booleans
Random Choices
Gaussian Distribution (μ=50, σ=15)
Range: Infinity - -Infinity | Count: 0
2D Noise Visualization
50x50 grid showing Perlin noise values (darker = lower values)
Key Concepts Demonstrated
- • Seeded Random: Reproducible random sequences
- • Random Floats: Continuous values within a range
- • Random Integers: Discrete values within a range
- • Random Booleans: True/false values with equal probability
- • Random Choice: Selecting from a list of options
- • Gaussian Distribution: Normal distribution with mean and standard deviation
- • Perlin Noise: Coherent noise for natural-looking randomness
Usage Tips
- • Use the same seed for reproducible results in testing
- • Gaussian distribution creates more natural-looking variations
- • Noise functions are perfect for procedural content generation
- • Random choice is ideal for picking from predefined options