Sorting Algorithms Explainer
Visualize how different sorting algorithms work. Select an algorithm, adjust the speed, and watch the sorting process step by step.
Sort Settings
Visualization
Algorithm Info
Bubble Sort
Time: O(n²)
Repeatedly steps through the list, compares adjacent elements and swaps them if they are in the wrong order.
About Sorting Algorithms
Sorting algorithms arrange elements in a specific order (typically ascending or descending). Understanding different sorting algorithms helps you choose the right one for your use case based on time complexity, space complexity, and data characteristics.
🐢 O(n²) Algorithms
Bubble, Selection, and Insertion Sort have quadratic time complexity. They're simple to understand but slow for large datasets. Insertion Sort performs well on nearly-sorted data.
🚀 O(n log n) Algorithms
Merge Sort and Quick Sort are much faster for large datasets. Merge Sort is stable and predictable, while Quick Sort is often faster in practice but has worst-case O(n²).
📊 Choosing the Right Algorithm
For small arrays (<50 elements), simple algorithms work fine. For larger datasets, prefer Merge Sort (stable) or Quick Sort (fast average case).