#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.

hashtag.org network · sponsored

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.

$2,449.80/ year · 4-character #name
Claim #pypy — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.6
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-15 15:58 UTC
0
10-09
0
10-10
0
10-11
0
10-12
0
10-13
0
10-14
0
10-15

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-10-15 15:58 UTC

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-15 15:58 UTC

Everything below is measured over the latest 40 public posts (spanning ~12408 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: English (29) · Polish (4) · Chinese (2) · Chinese (Taiwan) (2) · Japanese (1) · Portuguese (1)

Avg boosts / post: 0.7

Top of the latest posts

  • I've been sad about the upcoming removal of #PyPy from #Gentoo, but given how many regressions I've been seeing recently in a variety of #Python packages, I'm eagerly waiting for the day when I'll remove the support and be able to stop havi

    Jesus Michał von Gentoo 🏔 (he)@[email protected]♥ 6↻ 42026-05-25 19:42 UTCView post →
  • niklas-heer/speed-comparison: A repo which compares the speed of different programming languages. https://github.com/niklas-heer/speed-comparison This projects tries to compare the speed of different #programming languages. It uses an imple

    terrorist :: Feline@[email protected]♥ 6↻ 22025-12-15 19:30 UTCView post →
  • PSA: The annual #Gentoo #Python switch planned for 2026-06-01. CPython 3.14 becomes the default, 3.11 and #PyPy 3.11 go out. The latter fills me with sadness but keeping it is unrealistic now that projects are aggressively pushing for 3.12+

    Jesus Michał von Gentoo 🏔 (he)@[email protected]♥ 5↻ 32026-04-14 09:22 UTCView post →

What “pypy” means

Wikipedia

PyPy 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 surface

Follow #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