FastMap

An simple alternative to 2D arrays, with comparative performance.

Benefits:

• Memory Efficient

  • Built on a 1d array; Uses a single contiguous block of memory
  • Fewer object allocations = less garbage collection overhead
  • Better memory layout for very large maps

• Cleaner API and Type Safety

  • Single generic type: FastMap<T> vs T[][]
  • No need to manage nested array initialization
  • Consistent bounds checking across all operations (with safe Get/Set methods)

Usage:

Let's be honest: If you're just storing simple data and don't need safety guarantees, a 2D array is simpler.

FastMap is best used for:

• Game dev (tile maps, grids where safety + performance matter)
• Image processing (pixel buffers)
• Large grid simulations
• Other cases where you want built-in bounds checking without manual if statements

How to use:

npm install "@speakingsoftware/fastmap"

import { FastMap } from '@speakingsoftware/fastmap';

interface RGB {
    r: number;
    g: number;
    b: number;
}

const image = new FastMap<RGB>(100, 100);

// Draw a simple gradient
for (let y = 0; y < 100; y++) {
    for (let x = 0; x < 100; x++) {
        image.Set(x, y, {
            r: Math.floor(255 * (x / 100)),
            g: Math.floor(255 * (y / 100)),
            b: 128
        });
    }
}

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Inspired by the CImage class in Vladimir Kovalevsky's book "Modern Algorithms for Image Processing"