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Visualis | Collaborative data visualization — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
deepnote.com ↗	75 match shared topic	Deepnote: Collaborative analytics & data science notebook	en	technology-and-computing	robotsllmsaihumans	emailphone	none
hackaday.io ↗	65 match shared topic	Hackaday.io \| The world's largest collaborative hardware development community.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
observablehq.com ↗	65 match shared topic	Observable Notebooks: Fast data exploration and prototyping	en	technology-and-computing	robots llmsaihumans	emailphone	none
openapis.org ↗	65 match shared topic	OpenAPI Initiative – The OpenAPI Initiative provides an open source, technical community, within which industry participants may easily contribute to building a vendor-neutral, portable and an open specification for providing technical metadata for REST APIs – the “OpenAPI Specification”	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
ipfs.tech ↗	65 match shared topic	IPFS — Content addressing for data with confidence	en	technology-and-computing	robotsllmsaihumans	emailphone	none
datacenterknowledge.com ↗	65 match shared topic	Data Center Knowledge \| Navigating the Future of Data Centers	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 15
formbricks.com ↗	65 match shared topic	The Open Source Experience Data Hub	en	technology-and-computing	robots llmsaihumans	emailphone	none
tsviewer.com ↗	65 match shared topic	TeamSpeak 3 Viewer & Server/Clan Database - TSViewer.com [en]	en	technology-and-computing	robotsllmsaihumans	emailphone	none
datareportal.com ↗	65 match shared topic	DataReportal – Global Digital Insights	en	technology-and-computing Squarespace	robotsllmsaihumans	emailphone	none
datasociety.net ↗	65 match shared topic	Home - Data & Society	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 2
snia.org ↗	65 match shared topic	SNIA \| Experts on Data	en	technology-and-computing Drupal	robotsllmsaihumans	emailphone	none
flare.network ↗	65 match shared topic	Flare: The blockchain for data	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dataaccess.eu ↗	65 match shared topic	Application development tools and services worldwide \| DataFlex	European Union en	technology-and-computing	robotsllmsaihumans	emailphone	none
bestbythenumbers.com ↗	65 match shared topic	Home - Best By The Numbers – Data Insights, Rankings & Smart Comparisons	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
openapi.com ↗	65 match shared topic	Openapi: API Marketplace with Over 400 Services and Millions of Data	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dataintensive.net ↗	65 match shared topic	Designing Data-Intensive Applications (DDIA) — an O’Reilly book by Martin Kleppmann (The Wild Boar Book)	en	technology-and-computing	robotsllmsaihumans	emailphone	none
priceonomics.com ↗	65 match shared topic	Priceonomics - In Data We Trust	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
hdfgroup.org ↗	65 match shared topic	The HDF Group - The HDF Group - ensuring long-term access and usability of HDF data and supporting users of HDF technologies	en	technology-and-computing 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.