Algorithm Lab

QuickSort Algorithm Lab

Explore, test, and benchmark QuickSort with a modern interface that makes algorithm behavior easy to see and compare.

HTML CSS JavaScript QuickSort Benchmark Tests

Input Workspace

Enter numbers separated by commas to sort and analyze.

Enter numbers separated by commas, for example: 5, 3, 8, 1, 2

Used for random array generation only.

Sort Results

Track algorithm output and execution time.

Original Array
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Sorted Array
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Selected Algorithm
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Execution Time
-
Array Size
0 values

Array Visualization

Compare the shape of the original and sorted arrays.

Original Array
Sorted Array

Bars are normalized by absolute value. Negative values extend below the zero baseline.

Benchmark Comparison

Compare QuickSort with additional algorithms side by side.

Algorithm Time (ms)
Run a sort to see benchmark data. -
Fastest Algorithm: -

Small arrays may show 0.000 ms because the operation is extremely fast in the browser.

Benchmark results may vary depending on browser, device, input size, and current system load.

Test Results

Validate QuickSort correctness with built-in sort.

0 / 0 tests passed

Predefined tests use fixed test cases and are independent from the current input field.

Run tests to see detailed results.

QuickSort Complexity

  • Best case: O(n log n)
  • Average case: O(n log n)
  • Worst case: O(n^2) (rare with good pivots)
  • Space: O(log n) for recursion depth

Pivot Strategy: Middle element. Balanced pivots reduce recursion depth and improve performance.

Algorithm Comparison

Algorithm Notes
QuickSort Fast in practice, in-place, pivot sensitive.
MergeSort Stable, O(n log n), needs extra memory.
HeapSort O(n log n), in-place, not stable.
Built-in Sort Highly optimized, varies by engine.