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machine-check | Formal Verification Tool — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Programming Languages →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
pyuvm.org ↗	70 match 1 shared topics	Python for RTL Verification	en	programming-languages	robotsllmsaihumans	emailphone	none
verifiedby.me ↗	68 match 1 shared topics	Masahide Kashiwagi's Verification World	en	programming-languages	robotsllmsaihumans	emailphone	none
dostring.com ↗	66 match 1 shared topics	Best String Manipulation Tool - DoString.com	en	programming-languages	robotsllmsaihumans	emailphone	none
javaspec.info ↗	64 match 1 shared topics	JavaSpec 2.0 \| JavaSpec 2.x is a Java library that lets you use lambdas to write specifications that run on the JUnit 5 platform.	en	programming-languages	robotsllmsaihumans	emailphone	none
pysnacks.com ↗	64 match 1 shared topics	Python Tutorials \| DS \| Algorithm \| Backend \| Machine Learning	en	programming-languages	robotsllmsaihumans	emailphone	none
turingsimulator.com ↗	64 match 1 shared topics	Turing Machine Simulator by VittGam	en	programming-languages	robotsllmsaihumans	emailphone	none
pythonforthelifesciences.com ↗	64 match 1 shared topics	Python for the Life Sciences – A gentle introduction to Python for life scientists	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
javacc.org ↗	64 match 1 shared topics	JavaCC \| The most popular parser generator for use with Java applications.	en	programming-languages	robotsllmsaihumans	emailphone	none
pytexas.org ↗	63 match 1 shared topics	The PyTexas Foundation - PyTexas Foundation	en	programming-languages	robotsllmsaihumans	emailphone	none
pythonguides.com ↗	63 match 1 shared topics	Free Python & Machine Learning Tutorials for All Levels - Python Guides	en	programming-languages WordPress	robotsllmsaihumans	emailphone	partial · 6
antora.guide ↗	63 match 1 shared topics	Documentation as Code with Antora	en	programming-languages Gumroad	robotsllmsaihumans	emailphone	none
pythonforarchitects.com ↗	63 match 1 shared topics	Python for Architects \| Automate AEC Workflows, Reduce Repetition & Build Your Own Tools	en	programming-languages	robotsllmsaihumans	emailphone	none
newforms-tech.com ↗	63 match 1 shared topics	Jindent - Java Formatter & C/C++ Beautifier	en	programming-languages Joomla	robotsllmsaihumans	emailphone	none
nexocore.dev ↗	63 match 1 shared topics	Nexo - A scripting language for real workflows \| Pipeline-first automation	en	programming-languages	robotsllmsaihumans	emailphone	none
r-simmer.org ↗	63 match 1 shared topics	Discrete-Event Simulation for R • simmer \| DES for R	en	programming-languages	robotsllmsaihumans	emailphone	none
pythongis.org ↗	63 match 1 shared topics	Introduction to Python for Geographic Data Analysis	en	programming-languages	robotsllmsaihumans	emailphone	none
qter.dev ↗	63 match 1 shared topics	Introduction – Qter Documentation	en	programming-languages	robotsllmsaihumans	emailphone	none
csalgorithm.net ↗	63 match 1 shared topics	Implementation of algorithms in C#	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.