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Sites similar to scottdviz.com

Scottdviz alternatives & similar sites

Data Visualization & Analytics Portfolio by Scott – Best practices, references, and examples — 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 Databases →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
constellation-analytics.com 67 match
2 shared topics
Paul Chapman — Data Analyst & Analytics Engineer | Constellation Analytics en databases robotsllmsaihumans emailphone none
connetra.com 66 match
2 shared topics
Connetra | Data discovery through interactive visualizations en technology-and-computing robotsllmsaihumans emailphone none
data-and-analytics.ch 66 match
2 shared topics
Welcome & About this Wiki | A Data & Analytics Wiki Switzerland en technology-and-computing robotsllmsaihumans emailphone none
larry-henry-jr.net 65 match
2 shared topics
Data Science Portfolio | Larry Henry Jr. en technology-and-computing robotsllmsaihumans emailphone none
lampyre.io 63 match
2 shared topics
Lampyre: Data analysis & OSINT tool for everyone en databases robotsllmsaihumans emailphone none
kreatedata.com 62 match
2 shared topics
Data Product Master Guide en databases robotsllmsaihumans emailphone none
ovaistariq.net 62 match
2 shared topics
ovais.tariq - tech and leadership en technology-and-computingGhost robotsllmsaihumans emailphone none
laplab.me 62 match
2 shared topics
About | Nikita Lapkov en databasesReaction Commerce robotsllmsaihumans emailphone full · 17
morecowbellunlimited.com 61 match
2 shared topics
More Cowbell Unlimited – Complexity is Opportunity en technology-and-computingWordPress robotsllmsaihumans emailphone none
outreachmagic.net 61 match
2 shared topics
Outreach Magic | Stop stitching CSVs across sequencers en technology-and-computing robotsllmsaihumans emailphone none
outreachmagic.io 61 match
2 shared topics
Outreach Magic | Stop stitching CSVs across sequencers en technology-and-computing robotsllmsaihumans emailphone none
mcleveland.dev 61 match
2 shared topics
Matthew Cleveland — Data Engineer en technology-and-computing robotsllmsaihumans emailphone none
lamech.dev 61 match
2 shared topics
Lamech Bob-Manuel | Data Professional en technology-and-computing robotsllmsaihumans emailphone none
0xfd.com 61 match
2 shared topics
0xfd – … en technology-and-computingWordPress robotsllmsaihumans emailphone none
voiceofthedba.com 61 match
2 shared topics
Voice of the DBA | Writings from Steve Jones, the Voice of the DBA en databasesWordPress robotsllmsaihumans emailphone none
pointercorp.com 61 match
2 shared topics
Pointer Corporation en databases robotsllmsaihumans emailphone none
bdoey.dev 61 match
2 shared topics
Brandon Doey | Full-Stack Data Scientist en databases robotsllmsaihumans emailphone none
etltalk.com 61 match
2 shared topics
ETL Talk en databases 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:

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.