This visualizer compares how different Big O complexities grow as the input size of an algorithm increases.
- Select the complexity functions you want to compare.
- Change the input size and observe how the curves separate.
- Try different scales to see when a complexity starts becoming problematic.
Big O does not measure exact seconds. It helps understand how an algorithm scales as the problem grows, and why a solution that works with little data may fail with a lot of data.
