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Openkinome alternatives & similar sites

OpenKinome | openkinome.github.io — 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 Biotech And Biomedical Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
deepwiki.directory ↗	58 match shared topic	DeepWiki Directory - AI-Powered GitHub Repository Encyclopedia	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
axtria.com ↗	55 match shared topic	AI-Powered Data, Analytics and Commercial Solutions for Life Sciences	en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
benchling.com ↗	55 match shared topic	Cloud-based platform for biotech R&D \| Benchling	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
owkin.com ↗	55 match shared topic	Owkin \| Building Biological Artificial Superintelligence	France~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
beaconcure.com ↗	55 match shared topic	Beaconcure's AI-Enabled Statistical Analysis Platform	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
biohub.org ↗	55 match shared topic	Biohub - Leading the new era of AI-powered biology	en	artificial-intelligence WordPress WooCommerce	robots llmsaihumans	emailphone	none
rsipvision.com ↗	55 match shared topic	RSIP Vision - World-Class Pioneer in Medical Image Analysis and AI	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
academiclabs.com ↗	55 match shared topic	AcademicLabs \| The Early R&D Scouting & Prospecting Platform in Life Sciences	Belgium~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
github.blog ↗	48 match shared topic	Home - The GitHub Blog	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
trendshift.io ↗	48 match shared topic	Live trending GitHub repositories — daily momentum ranking \| Trendshift	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
depot.dev ↗	48 match shared topic	Depot - Up to 55x Faster Builds, Half the Cost \| Docker & GitHub Actions	en	technology-and-computing	robots llmsaihumans	emailphone	none
star-history.com ↗	48 match shared topic	GitHub Star History — Track & Compare Open Source Star Growth	en	technology-and-computing	robotsllmsaihumans	emailphone	none
golangbridge.org ↗	48 match shared topic	about-us/README.md at master · gobridge/about-us · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
n8-group.com ↗	48 match shared topic	AI-Powered DevOps Solutions \| GitHub Copilot, Rovo Dev \| N8 Group	Poland~ en	artificial-intelligence WordPress	robots llmsaihumans	email phone	none
github.com ↗	30 match shared topic	GitHub · Change is constant. GitHub keeps you ahead. · GitHub	en	software-and-applications	robots llmsaihumans	emailphone	none
github.io ↗	30 match shared topic	GitHub Pages \| Websites for you and your projects, hosted directly from your GitHub repository. Just edit, push, and your changes are live.	en	web-development	robotsllmsaihumans	emailphone	none
githubstatus.com ↗	30 match shared topic	GitHub Status	en	technology-and-computing	robotsllmsaihumans	emailphone	none
github.community ↗	30 match shared topic	community · Discussions · GitHub	en	technology-and-computing	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.