Knuth-Morris-Pratt animated: the failure table is built first, then mismatches slide the pattern instead of restarting — the text pointer never moves back.
Tip: use samples, upload, copy, download, and send-to actions inside the workspace where available.
KMP Algorithm Visualizer is a free, browser-based tool that helps you tidy up and standardize messy datasets. Knuth-Morris-Pratt animated: the failure table is built first, then mismatches slide the pattern instead of restarting — the text pointer never moves back. 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.
Clean obvious quality problems before analysis, imports, dashboards, or automation.
Review the preview, copy or download the result, and keep everything local in your browser.
Rabin-Karp Visualizer: Rolling-hash pattern matching animated: window hashes compared in O(1) per slide, with genuine matches verified and spurious collisions exposed.
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 tool1Build failure table: p[2]='A' equals p[0] → prefix-suffix of length 1 ends here.
build failure[] over the patternfor each text char:if match: advance bothfull match → report, pi = failure[pi-1]mismatch → pi = failure[pi-1] (slide)(never restart the text pointer)done
A failure table remembers how much of the pattern still matches after a mismatch — the text pointer never moves backward.
