Step-by-step visualization of Standard and Optimized Bubble Sort algorithms
1. Enter the Elements or Randomize Array
2. Click Start Sorting
3. Auto Run or Visualization → Next Step
Standard Bubble Sort
Optimized Bubble Sort
↑ Ascending Sort
↓ Descending Sort
🎛️ Control Panel
Auto Run Speed:
Normal
📊 Visualization
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Current Step
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Total Steps
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Swaps
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Comparisons
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Current Pass
Enter numbers (0-100) and click "Start Sorting"
📋 Algorithm Logic
Select algorithm and click "Start Sorting" to begin the visualization.
🛈 About Bubble Sort
Standard Bubble Sort
Always performs n-1 passes, comparing all adjacent pairs each time. No early termination even if array is sorted.
Optimized Bubble Sort
Uses a swapped flag to detect if any swaps occurred. If no swaps in a pass, array is sorted and algorithm stops early.
Time Complexity
For Standard Sorting - Worst/Average/Best: O(n²)
For Optimized Sorting - Best: O(n) when array is already sorted. Worst/Average: O(n²)
Let’s be honest.
Bubble sort is often called slow, boring, and even useless 😄
But still…
Every computer science student meets bubble sort first.
Why?
Because bubble sort is like that teacher who explains slowly, repeats again and again, and makes sure you really understand before moving forward.
And once you see bubble sort visualization, everything suddenly makes sense.
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What Is Bubble Sort – Explained Like a Story
- Bubble sort works exactly like bubbles in water.
- Bigger elements are heavy
- They move slowly to the end
- Smaller elements come forward
- In every pass, the largest element bubbles up to the last position.
That’s it.
No magic. No confusion. For more knowledge, check here – https://compgeek.co.in/bubble-sort/
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Bubble Sort Algorithm Visualization – Step by Step Thinking
When students use a bubble sort visualizer, they see three things clearly
Which two elements are compared, Why a swap happens, How the array becomes sorted slowly,
This is why bubble sort algorithm visualization is so powerful for beginners.

Standard Bubble Sort Working
- Compare adjacent elements
- Swap if left element is bigger
- Repeat for all elements
- Do multiple passes
- Simple but slow, all the cases leads to O(n^2).
Optimized Bubble Sort – Smart Version of Bubble Sort
Now here comes the intelligent cousin.
- Optimized bubble sort stops early if the array is already sorted.
- It uses a flag variable.
- If no swap happens in a pass, algorithm stops
This saves time and unnecessary comparisons.
In visualization, students clearly see
=> No swaps = stop algorithm
That is why optimized bubble sort visualization is loved by teachers.
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Example
If you write allocate 10 elements are are in ascending order, say 1, 2 3, 4, 5, 6, 7, 8, 9, 10.
So, in Standerd bubble Sort, it will take 109 total steps whether you sort in ascending order or descending order. Means if you use the input n = 10, then in all the cases of standard sort it will be O(n2), means more than or equal to 100.
But in optimized bubble sort, it will take only 23 steps in the ascending order. So its time complexity O(n) in the best case, will be much smaller than standard sort. Total steps is 23, means greater than or equal to 10. So a heavy burden wipe off.
But in the descending order of the optimized sort, the total steps will be 163, so its little bit costlier than standard sort.

