Rolling-hash pattern matching animated: window hashes compared in O(1) per slide, with genuine matches verified and spurious collisions exposed.
Tip: use samples, upload, copy, download, and send-to actions inside the workspace where available.
Rabin-Karp Visualizer is a free, browser-based tool that helps you turn raw numbers into clear charts. Rolling-hash pattern matching animated: window hashes compared in O(1) per slide, with genuine matches verified and spurious collisions exposed. 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.
Visualize the dataset after it has been cleaned enough for reliable labels and numeric values.
Review the preview, copy or download the result, and keep everything local in your browser.
KMP Algorithm Visualizer: Knuth-Morris-Pratt animated: the failure table is built first, then mismatches slide the pattern instead of restarting — the text pointer never moves back.
Open toolAlgorithm Academy: 35+ classic algorithms animated step by step — searching, counting/radix/bucket sort, dynamic programming tables, greedy, backtracking, KMP, graph algorithms, max flow, and convex hull — with auto-play, next/prev stepping, adjustable interval, and pseudocode that highlights the running line.
Open toolRegex from Examples: Paste strings that should match (and ones that shouldn't) — the tool induces a regular expression offline, verifies it against every example, and explains each token in plain English.
Open tool1Rabin-Karp: compare HASHES, not strings. Pattern hash = 62059649. First window hash = 62059650. Each slide updates the hash in O(1): drop the left char, append the right one.
ph = hash(pattern)th = hash(first window)for each window:if th == ph: verify chars → matchelse: collision check / skiproll hash: drop left, add rightdone
Rolling hash: compare window hashes in O(1) per slide, verify characters only on hash hits.
