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Welcome to Zope — Zope Project and Community documentation — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
r-project.org 100* match R: The R Project for Statistical Computing en Software and Applications none
plone.org 64* match Plone CMS: Open Source Content Management — Plone: Enterprise Level CMS - Free and OpenSource - Community Driven - Secure en Software and Applications robots none
python.org 40* match Welcome to Python.org en Programming Languages none
postgresql.org 20* match PostgreSQL: The world's most advanced open source database en Databases none
eff.org 15* match Electronic Frontier Foundation | Defending your rights in the digital world en Information and Network SecurityDrupal none
pypa.io 7* match Python Packaging Authority — PyPA documentation en Software and Applications none
pypi.org 6* match PyPI · The Python Package Index en Software and Applications robots none
rust-lang.org 6* match Rust Programming Language en Programming Languages none
pub.dev 6* match The official repository for Dart and Flutter packages. en Programming Languages robots none
swift.org 6* match Swift Programming Language en Programming Languages none
neovim.io 6* match Neovim en Software and Applications robots none
astral.sh 6* match Astral: High-performance Python tooling en Programming LanguagesLightspeed none
ziglang.org 6* match Home ⚡ Zig Programming Language en Programming Languages none
cmake.org 6* match CMake - Upgrade Your Software Build System en Software and ApplicationsWordPress robots none
micropython.org 6* match MicroPython - Python for microcontrollers en Programming Languages robots none
graalvm.org 6* match GraalVM en Software and Applications none
raku.org 6* match Raku® en Programming Languages none
haxe.org 6* match Haxe - The Cross-platform Toolkit en Programming Languages robots 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.