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Sorting Algorithm

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Back to Sorting

Quick Sort Visualizer

Watch how Quick Sort uses divide-and-conquer by partitioning around a pivot element to efficiently sort the array.

Time: O(n log n) avg

Space: O(log n)

Stable: No

In-place: Yes

Animation Speed: 1000ms

Fast (500ms)Slow (3000ms)

Progress: Step 1 of 0Level 0 | Phase: start

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906

Unsorted

Pivot

Partitioning Range

Left Partition (≤ pivot)

Right Partition (> pivot)

Current Pointers

Comparing

Swapping

Sorted

Current Step:

Click Start to begin the Quick Sort visualization

Algorithm Details

Best Case:O(n log n)

Average Case:O(n log n)

Worst Case:O(n²)

Space:O(log n)

Stable:No

In-place:Yes

When to Use Quick Sort

✓Large datasets with good pivot selection
✓Memory-constrained environments (in-place)
✓When average-case performance is acceptable
✓Cache-efficient sorting needed
✗When worst-case O(n²) is unacceptable
✗When stability is required

Real-world Applications

•Unix sort command implementation
•Programming language standard libraries
•Database query optimization
•Finding k-th smallest/largest element
•Numerical analysis algorithms

Optimization Tips

•Use median-of-three pivot selection
•Switch to insertion sort for small subarrays
•Use tail recursion optimization
•Implement 3-way partitioning for duplicate keys

DSAverse

Initializing Sorting Algorithms...

Sorting Algorithm

Preparing interactive visualizations for optimal learning experience...

DSAverse

Sorting Algorithm

DSAverse

Sorting Algorithm

Binary Tree

Graph Traversal

Quick Sort Visualizer

Current Step:

Algorithm Details

When to Use Quick Sort

Real-world Applications

Optimization Tips

DSAverse

Sorting Algorithm

Quick Sort Visualizer

Current Step:

Algorithm Details

When to Use Quick Sort

Real-world Applications

Optimization Tips