Computer Science DSA Lab

Quick Sort Visualizer for Interactive DSA Practice

Watch quick sort choose a pivot, partition smaller and larger values, and recursively sort each side. Learn the concept, operation flow, complexity, and real-world use cases through a focused OpenLabs interactive visualizer.

DSA Visualizer
Partition-based sorting
Best: O(n log n), Average: O(n log n), Worst: O(n^2), Space: O(log n)
Step 1
Choose pivot
Step 2
Partition array
Step 3
Recurse left
Step 4
Recurse right

Concept

Quick sort is a divide-and-conquer sorting algorithm that partitions an array around a pivot.

Operation flow

After partitioning, values smaller than the pivot move to one side and larger values move to the other, then recursion sorts both sides.

Complexity

Best: O(n log n), Average: O(n log n), Worst: O(n^2), Space: O(log n)

Visualization

Watch each operation update the structure or algorithm state step by step.

Learn by visualizing

Understand Quick Sort through step-by-step interaction

After partitioning, values smaller than the pivot move to one side and larger values move to the other, then recursion sorts both sides. The lab makes every state change visible, helping students connect DSA theory with practical algorithm behavior.

Understand pivot selection and partitioning.

Visualize recursive sorting of subarrays.

Learn why pivot quality affects performance.

Compare quick sort with merge sort and heap sort.

Where this concept is used

  • Fast average-case sorting
  • In-place array sorting
  • Interview algorithm practice
  • Divide-and-conquer learning

How the interactive lab works

Open the Quick Sort lab, run the available operation controls, and watch the visual state update immediately. Use the animation to trace the operation order, compare complexity, and verify your understanding.

Quick Sort FAQs

What is quick sort?

Quick sort partitions an array around a pivot and recursively sorts the partitions.

What is quick sort time complexity?

Quick sort is O(n log n) on average but can become O(n^2) with poor pivot choices.

Is quick sort in-place?

Most implementations are in-place apart from recursion stack space.

Ready to practice Quick Sort?

Launch the visualizer, trace each step, and build confidence with data structures and algorithms through hands-on learning.

Open Quick Sort Visualizer