Comparisons
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Browser sorting visualizer with controllable playback, step execution, and operation counters.
Ready. Generate an array and start sorting.
Shortcuts: Space start/pause, ArrowRight/ArrowLeft step or back, R randomize, P pick best fit, C compare.
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Read how the current input is shaped before you benchmark it.
Generate an array to inspect its workload shape.
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Turn the current sorter choice into a stronger demo claim before you benchmark it.
Generate an array to score the current picker.
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Five checkpoints for explaining the run without narrating every operation.
Generate steps to get a compact narration path.
Read the current sorter as an engineering tradeoff, not just an animation.
Select an algorithm to inspect its fit.
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Turn the current workload into a compact profile before comparing raw operation counts.
Generate an array to compute its local shape signals.
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Predict which sorter families should fit this array before you spend time benchmarking every option.
Generate an array to forecast the best and riskiest sorter fits.
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Turn the current algorithm and workload into the next contrast run worth showing in a portfolio demo.
Generate an array to stage the next contrast test.
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Translate the current replay step into a human-readable algorithm move.
Generate an array to inspect the operation mix.
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Estimate how long the current run will take to show and whether the replay is dense enough for a live demo.
Generate a run to estimate its playback budget.
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Read whether the replay is smooth, bursty, or dominated by one disruptive phase before you narrate it live.
Generate a run to inspect its burstiness and pacing shifts.
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Classify whether the current sorter is mostly scouting, exchanging, or rebuilding so the replay has a sharper teaching angle.
Generate a run to classify its operation posture.
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Split the replay into opening, middle, and closing windows so the teaching beat changes are visible before you scrub through the whole run.
Generate a run to inspect where the replay actually spends its effort.
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Turn the compare-all snapshot into an explicit recommendation.
Run Compare All to see which sorter best fits this workload.
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Read whether the current picker is leading, chasing, or only useful as a teaching contrast.
Run Compare All to measure how much pressure is on the current algorithm pick.
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Run the current array through every implemented sorter without animation.
No comparison yet.
| Algorithm | Comparisons | Swaps | Writes | Total Ops |
|---|---|---|---|---|
| Use Compare All to benchmark this input. | ||||
Benchmark the full sorter set against four workload families instead of a single one-off array.
Run the gauntlet to see which algorithms keep winning across contrasting presets.
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Keep a small local set of arrays worth re-running so the demo can return to a known contrast quickly.
Save the current array to build a reusable workload shelf.
Keep a short local tape of benchmark snapshots so one workload can be contrasted against the next.
No benchmark history saved yet.
Read whether the current winner is a one-off result or a repeatable story across saved workload snapshots.
Run Compare All a few times to turn benchmark memory into confidence.
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Turn local benchmark memory into a quick read on whether the same winner keeps holding up.
Run Compare All a few times to inspect winner consistency.
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Turn the latest benchmark and local winner history into the sharpest side-by-side story to show next.
Run Compare All to pick an anchor sorter and its best contrast.
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Turn the currently selected sorter into a cleaner best-demo angle with one explicit watch-out.
Run Compare All to turn the current algorithm into a portfolio-ready pitch.
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Read how the currently selected sorter sits against the short local winner tape.
Run Compare All a few times to build a track record for the current picker.
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Compare the textbook complexity story against the operation stream this exact workload generated.
Generate a run to compare theory with observed operation cost.
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