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jOOQ: The easiest way to write SQL in Java — 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
queryclass.app 64 match
2 shared topics
QueryClass - SQL Learning Playground en databases robotsllmsaihumans emailphone none
pythonql.org 62 match
2 shared topics
PythonQL: An Integrated Query Language for Python en databases robotsllmsaihumans emailphone none
pysqlite.org 62 match
2 shared topics
PySQLite – Seamless SQLite Integration for Python en databasesWordPress robotsllmsaihumans emailphone none
theirie.dev 62 match
2 shared topics
The Irie Dev en programming-languages robotsllmsaihumans emailphone none
trytanstackdb.com 62 match
2 shared topics
trytanstackdb | The interactive guide en databases robotsllmsaihumans emailphone partial · 8
qlrm.org 61 match
2 shared topics
Why? | qlrm en databases robotsllmsaihumans emailphone none
guyaxingzhe.com 61 match
2 shared topics
新幸运飞行艇官方开奖直播、开奖历史记录、168官网飞艇直播开奖-幸运飞行艇开奖查询网|SQL Server Tips en databases robotsllmsaihumans emailphone none
pyodmongo.dev 61 match
2 shared topics
PyODMongo en programming-languages robotsllmsaihumans emailphone none
kylenunery.com 61 match
2 shared topics
Kyle Nunery en programming-languagesGhost robotsllmsaihumans emailphone none
mbronikowski.com 60 match
2 shared topics
Michał Bronikowski en databases robotsllmsaihumans emailphone none
rkshaw.com 60 match
2 shared topics
Tech Talk en databases robotsllmsaihumans emailphone none
rodrigoapvieira.com 60 match
2 shared topics
Rodrigo Portfolio en databases robotsllmsaihumans emailphone none
douglasbarbosa.com 60 match
2 shared topics
Douglas Barbosa — Software Engineer en databases robotsllmsaihumans emailphone none
mbfportfolio.com 60 match
2 shared topics
Octavian Carteleanu Portfolio en databases robotsllmsaihumans emailphone none
python-tablib.org 60 match
2 shared topics
Tablib: Pythonic Tabular Datasets — Tablib 0.12.1 documentation en databases robotsllmsaihumans emailphone none
qymy.cloud 60 match
2 shared topics
Tech Notes — Distributed Systems & Programming en databases robotsllmsaihumans emailphone none
curiouscoder.net 60 match
2 shared topics
Curious Coder · en programming-languages robotsllmsaihumans emailphone none
jbodiford.me 60 match
2 shared topics
J.Bodiford 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.