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Jessica Temporal | Posts about python, data science, git, open source and more 😉 — 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
codecogs.com ↗	65 match 2 shared topics	CodeCogs \| Open Source Scientific Library (C/C++, .NET, Excel)	en	programming-languages	robotsllmsaihumans	emailphone	none
bernat.tech ↗	65 match 2 shared topics	Bernát Gábor — Python packaging, tox, virtualenv & open source	en	programming-languages	robotsllmsaihumans	emailphone	none
brimleylabs.com ↗	64 match 2 shared topics	Brimley Labs - Open Source by Matthew Summers	en	technology-and-computing	robotsllmsaihumans	emailphone	none
0not.net ↗	64 match 2 shared topics	0not -- Programming, hacking, making, and science.	en	programming-languages	robotsllmsaihumans	emailphone	none
pytroll.org ↗	64 match 2 shared topics	Pytroll \| Pytroll is an easy to use, modular, free and open source Python framework for the processing of Earth Observation (EO) satellite data. The provided Python packages are designed to be used both in R&D environments and in 24/7 operational production. Some of the more high-level packages incl	en	programming-languages	robotsllmsaihumans	emailphone	none
itarchitect.co ↗	64 match 2 shared topics	Java Profile – Its about Java, Profile, and so much more!	Colombia en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
thefutureisfavorable.com ↗	64 match 2 shared topics	Good News – I'm trying to learn some coding basics and data science principals. I post a weekly report discussing what I learned. Enjoy.	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
brewneaux.com ↗	63 match 2 shared topics	My posts and thoughts - Brewneaux	en	programming-languages	robotsllmsaihumans	emailphone	none
pythonforphotonics.org ↗	63 match 2 shared topics	index \| Python for Photonics	en	technology-and-computing	robotsllmsaihumans	emailphone	none
davideandreazzini.co.uk ↗	62 match 2 shared topics	Davide Andreazzini — DevOps, Linux, Python & Self-Hosting Blog	United Kingdom en	technology-and-computing Ghost	robotsllmsaihumans	emailphone	partial · 14
python-observability.com ↗	62 match 2 shared topics	Home \| Python Observability	en	programming-languages	robotsllmsaihumans	emailphone	none
jaren.me ↗	62 match 2 shared topics	Jaren Goldberg \| Computer Science Student at Virginia Tech	en	programming-languages	robotsllmsaihumans	emailphone	none
bobbby.online ↗	62 match 2 shared topics	Thoughts and Tidbits	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
epeec-project.eu ↗	62 match 2 shared topics	Epeec-Project - Blog about tools to accelerate programming in scientific industries	European Union en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
kylejeske.com ↗	62 match 2 shared topics	Bit by Bit \| A blog about coding, technology, and software development.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
doriankarter.com ↗	62 match 2 shared topics	All posts \| Retrovertigo	en	programming-languages	robotsllmsaihumans	emailphone	none
kylebenson.com ↗	62 match 2 shared topics	About	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mdsmith.dev ↗	62 match 2 shared topics	mdsmith — Markdown as a single source of truth	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.