#ProbabilisticProgramming

Live, measured metrics for the hashtag #ProbabilisticProgramming from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
20
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 20
0.7
Avg reactions / post
Mastodon · last 20
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-15 17:20 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 · fosstodon.org (Mastodon public search API) · fetched 2026-10-15 17:20 UTC

No related tags with measured usage found for #probabilisticprogramming.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-15 17:20 UTC

Everything below is measured over the latest 20 public posts (spanning ~33710 hours).

Posting hours (UTC) — busiest: 15:00

00:0012:0023:00

Languages: English (18) · German (2)

Avg boosts / post: 2.1

Top of the latest posts

  • I have spent some time cleaning up my home-grown #Bayesian inference library for public consumption. Enjoy: https://codeberg.org/wasowski/probula The story goes that I needed a pure Scala3 replacement for #Figaro, that I can use for teachin

    Andrzej Wąsowski ☑️ 🟥@[email protected]♥ 5↻ 32026-02-22 17:13 UTCView post →

  • CUDA-enabled packages for Birch are now available! (Previously it was necessary to compile from source for CUDA support.) #GPU #CUDA #MachineLearning #ProbabilisticProgramming #MonteCarlo https://birch.sh/getting-started/

    Lawrence Murray@lawmurray♥ 4↻ 12023-02-13 16:22 UTCView post →

  • The #Stan #ProbabilisticProgramming project is looking for new members of the governance body. If you care about the future of #bayesian computation, consider applying - all types of expertise (user, educator, developer, ...) are highly wel

    Martin Modrák@[email protected]♥ 3↻ 222022-11-06 20:35 UTCView post →

#probabilisticprogramming across platforms

every network with a public tag surface

Follow #probabilisticprogramming 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/probabilisticprogramming