๐Big O Notation Calculator
A searchable complexity reference, growth-rate chart, and operations estimator.
Reference table
| Operation | Best | Average | Worst | Space |
|---|
Growth-rate chart
Estimate operations for N
Free Big O Notation Calculator & Reference
Our free Big O notation calculator puts the answersโand the intuition behind themโin one place. Browse a searchable table of common algorithms and data structure operations with their time and space complexity, then compare growth rates visually: plot O(1), O(log n), O(n), O(n log n), O(nยฒ), and more on the same chart to see how dramatically they diverge as input size grows.
Want a concrete number instead of an abstract symbol? Enter a complexity class and an input size, and the tool estimates roughly how many operations that algorithm would performโmaking the difference between O(n) and O(nยฒ) tangible rather than theoretical.
Built for computer science students preparing for interviews or exams. No sign-up, no downloadsโjust a clear reference whenever you need it.
About the Big O Notation Calculator
Features
Searchable reference table
Common operations with best/average/worst time and space complexity.
Growth-rate chart
Compare complexity classes on one chart, with a log-scale toggle.
Operations estimator
Enter a complexity class and N to see roughly how many operations it takes.
Toggleable series
Click any legend item to show or hide that complexity class on the chart.
Frequently Asked Questions
What is Big O notation?
A way of describing how an algorithm's time or space requirements grow as input size increases, ignoring constant factors.
What operations are in the reference table?
Common array, sorting, searching, hash map, tree, and graph operations with their time/space complexity.
Is it free?
Completely free, no sign-up or limits.
What does the growth-rate chart show?
How different complexity classes (O(1) to O(n!)) diverge as input size n increases, with a log-scale option for large n.
What does the "estimate operations" calculator do?
Given a complexity class and an input size, it estimates roughly how many operations that algorithm performs.
Why do some algorithms show best/average/worst case separately?
Because their performance depends on input arrangement (e.g. quicksort's worst case differs from its average case).
Can I search the reference table?
Yes, filter by algorithm name or complexity class.
Is this useful for coding interviews?
Yes, it's designed as a quick-reference and intuition-builder for interview prep.
Is my data stored?
No; everything runs in your browser.
Does it work on mobile?
Yes, fully responsive; the chart and table adapt to smaller screens.