#pypy
Live, measured metrics for the hashtag #pypy from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #pypy
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-10-16 22:50 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-10-16 22:50 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-16 22:50 UTCEverything below is measured over the latest 40 public posts (spanning ~12408 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (29) · Polish (4) · Chinese (2) · Chinese (Taiwan) (2) · Arabic (1) · Portuguese (1)
Avg boosts / post: 1
Top of the latest posts
just used #PyPy to accelerate an Amaranth simulation from 35s to 17s (no code changes) it's pretty good
I was already having misgivings about #CPython when I saw a required #Rust dependency coming up (although I know many here have no issues with this), but now that there have been #LLM commits to the project, I'd like to look at alternatives
The next PyPy will be 8.0.0 and should add support for Python 3.12 and be the last to support 3.11, and require glibc 2.28 (AlmaLinux8, Amazon Linux 2023, Debian 10, Ubuntu 20.04). https://pypy.org/posts/2026/07/moving-linux-builds-to-glibc
What “pypy” 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) →#pypy across platforms
every network with a public tag surfaceFollow #pypy 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/pypy