The same algorithm run on three input shapes — see Ω(1), Θ(n), and O(n) emerge from identical code, with the comparisons counted live.
Tip: use samples, upload, copy, download, and send-to actions inside the workspace where available.
Best / Average / Worst Case Visualizer is a free, browser-based tool that helps you understand a dataset at a glance. The same algorithm run on three input shapes — see Ω(1), Θ(n), and O(n) emerge from identical code, with the comparisons counted live. It's built for speed and privacy: Everything runs locally in your browser — your data is never uploaded to a server. No sign-up, no installs, and no daily limits.
Profile the data first so missing values, types, duplicates, and outliers are visible before you edit it.
Review the preview, copy or download the result, and keep everything local in your browser.
Master Theorem Visualizer: Recurrences unrolled into recursion trees level by level — sum each level, compare log_b(a) with d, and read off the master-theorem case for merge sort, binary search, Strassen, and Karatsuba.
Open toolLinear Search Visualizer: Watch linear search check each element one by one with a colored TRUE/FALSE verdict per probe, live pseudocode, and step-by-step narration.
Open toolData Structure Playground: Hands-on stack, queue, linked list, and hash table — every push, pop, pointer rewire, and collision narrated with its O(1)/O(n) cost, plus an interactive Big-O growth explorer.
Open tool1Same algorithm (linear search), same array — three different INPUTS. Complexity cases describe how the input shape changes the work, not the code.
one algorithm, three inputs:best: target is the first elementaverage: target in the middleworst: target absentcases describe inputs, not code
The same algorithm, three input shapes: complexity cases describe the INPUT's effect, not different code. Big-O bounds above, Ω below, Θ when they meet.
