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Random Number Generators

TL;DR: Use PRNG.Instance for 10-15x faster random generation than UnityEngine.Random, with a rich API for vectors, colors, weighted selection, and more.


Overview

Unity Helpers provides 15+ high-performance pseudo-random number generators (PRNGs) through a unified IRandom interface. All generators pass standard statistical tests and are optimized for game development workloads.

Key Features


Quick Start (60 Seconds)

using WallstopStudios.UnityHelpers.Core.Random;

// Use the thread-local default (fastest)
IRandom random = PRNG.Instance;

// Basic generation
int number = random.Next(0, 100);           // [0, 100)
float value = random.NextFloat();            // [0.0, 1.0)
bool coinFlip = random.NextBool();
uint bits = random.NextUint();

// Unity vectors
Vector2 point2D = random.NextVector2(-10f, 10f);

// Colors
Color randomColor = random.NextColor();

// Weighted selection
string[] items = { "Common", "Rare", "Epic" };
float[] weights = { 70f, 25f, 5f };
string selected = random.NextWeighted(items.Zip(weights, (x, y) => (x, y)));

// Gaussian distribution
float normalValue = random.NextGaussian(mean: 0f, stdDev: 1f);

Choosing a Generator

Use Case Recommended Generator Why
General gameplay PRNG.Instance Thread-local default, excellent quality
Procedural generation PcgRandom Reproducible, excellent statistical properties
High-throughput effects SplitMix64 Fastest with good quality
Cryptographic seeding N/A Use System.Security.Cryptography instead
Legacy compatibility UnityRandom Matches UnityEngine.Random behavior

Available Generators

All generators implement the IRandom interface:

Generator Speed Quality Best For
LinearCongruentialGenerator Fastest Poor Non-critical effects only
SplitMix64 Very Fast Very Good High-throughput generation
PcgRandom Fast Excellent General purpose, seeded generation
IllusionFlow Fast Excellent Balanced speed and quality
XoroShiroRandom Fast Very Good Game logic, physics
RomuDuo Fast Very Good Alternative to PCG
XorShiftRandom Moderate Fair Legacy compatibility
WyRandom Moderate Very Good Hash-based scenarios
SquirrelRandom Moderate Good Noise-based generation
PhotonSpinRandom Slow Excellent Maximum quality needed
UnityRandom Slow Fair Match Unity behavior
SystemRandom Very Slow Poor .NET compatibility

For detailed benchmarks, see Random Performance.


Creating Seeded Generators

For reproducible sequences (replays, procedural generation, testing):

using WallstopStudios.UnityHelpers.Core.Random;

// Create with specific seed
PcgRandom seeded = new PcgRandom(seed: 12345);

// Generate reproducible sequence
for (int i = 0; i < 10; i++)
{
    Debug.Log(seeded.Next(0, 100)); // Same values every run
}

// Different seed = different sequence
PcgRandom different = new PcgRandom(seed: 67890);

API Reference

Basic Generation

IRandom random = PRNG.Instance;

// Integers
int value = random.Next();                    // [int.MinValue, int.MaxValue]
int bounded = random.Next(100);               // [0, 100)
int ranged = random.Next(10, 50);             // [10, 50)

// Unsigned integers
uint bits = random.NextUint();
uint boundedUint = random.NextUint(1000u);

// Floating point
float f = random.NextFloat();                 // [0.0, 1.0)
float rangedF = random.NextFloat(-1f, 1f);    // [-1.0, 1.0)
double d = random.NextDouble();               // [0.0, 1.0)

// Boolean
bool b = random.NextBool();                   // 50% true/false
bool weighted = random.NextBool(0.75f);       // 75% true

Vector Generation

// 2D vectors
Vector2 v2 = random.NextVector2();                      // Each component [0, 1)
Vector2 ranged2 = random.NextVector2(-10f, 10f);        // Each component [-10, 10)

// 3D vectors
Vector3 v3 = random.NextVector3();
Vector3 ranged3 = random.NextVector3(-5f, 5f);

Color Generation

// Random colors
Color c = random.NextColor();                           // Random RGBA

Distributions

// Gaussian (normal) distribution
float gaussian = random.NextGaussian(mean: 0f, stdDev: 1f);

// Weighted selection
string[] items = { "Common", "Rare", "Epic", "Legendary" };
float[] weights = { 60f, 25f, 12f, 3f };
string drop = random.NextWeighted(items.Zip(weights, (x, y) => (x, y)));

Collection Operations

// Shuffle in place
myList.Shuffle(random);

// Random element
T element = random.NextOf(array);
T element2 = random.NextOf(list);

// Random index
int index = random.Next(collection.Count);

Thread Safety

PRNG.Instance provides thread-local instances, making it safe for multithreaded code without locks:

// Safe - each thread gets its own instance
Parallel.For(0, 1000, i =>
{
    int value = PRNG.Instance.Next(0, 100);
    // No race conditions
});

For explicit thread-local control:

using WallstopStudios.UnityHelpers.Core.Random;

// Create thread-local wrapper around any generator
ThreadLocalRandom<PcgRandom> threadLocal = new();
IRandom random = threadLocal.Value; // Per-thread instance

Perlin Noise

For procedural generation, use the seedable Perlin noise generator:

using WallstopStudios.UnityHelpers.Core.Random;

PerlinNoise noise = new PerlinNoise(seed: 42);

// 2D noise (terrain, textures)
float value2D = noise.Noise(x, y);

// Octave noise for more detail
float octaves = noise.OctaveNoise(x, y, octaves: 4, persistence: 0.5f);

Best Practices

  1. Use PRNG.Instance for most cases — it’s fast, thread-safe, and well-tested
  2. Seed generators explicitly when reproducibility matters (replays, tests)
  3. Avoid new in hot paths — cache generator instances
  4. Don’t use for security — these are PRNGs, not CSPRNGs
// ✅ Good - cache the reference
private IRandom _random = PRNG.Instance;

void Update()
{
    float value = _random.NextFloat();
}

// ❌ Bad - creates new instance every frame
void Update()
{
    PcgRandom random = new PcgRandom(); // Allocation!
    float value = random.NextFloat();
}

See Also