#rpython
Live, measured metrics for the hashtag #rpython from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #rpython
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-11-10 10:42 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-11-10 10:42 UTCNo related tags with measured usage found for #rpython.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-10 10:42 UTCEverything below is measured over the latest 7 public posts (spanning ~21748 hours).
Posting hours (UTC)
Languages: English (7)
Avg boosts / post: 1
Top of the latest posts
I apparently was overly emotional last night and started an #RPython version of #Nix. I have about half a parser so far. If I keep working on this, the goals will be to have a smaller footprint in terms of code and CPU (but not necessarily
🚀🚀 "Tech genius discovers the astonishing speed of #RPython GC allocation... by writing *another* benchmark program. Because, clearly, the world was waiting with bated breath for this groundbreaking revelation instead of solving actual pr
How fast can the RPython GC allocate? https://pypy.org/posts/2025/06/rpython-gc-allocation-speed.html #HackerNews #RPython #GC #Allocation #RPython #Performance #Memory #Management #Hacker #News
What “rpython” means
WikipediaPyPy is an implementation of the Python programming language. PyPy frequently runs much faster than the standard implementation CPython because PyPy uses a just-in-time compiler. Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when run in PyPy.
“PyPy” on Wikipedia (CC BY-SA) →#rpython across platforms
every network with a public tag surfaceFollow #rpython straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/rpython