#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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Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-10-30 15:19 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 2026-10-30 15:19 UTCNo related tags with measured usage found for #probabilisticprogramming.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-30 15:19 UTCEverything below is measured over the latest 17 public posts (spanning ~32824 hours).
Posting hours (UTC) — busiest: 16:00
Languages: English (15) · German (2)
Avg boosts / post: 2
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
// nerd-mode A small step for the humankind, a huge celebration for my inner nerd. The most beautiful formulation of Fisher's 1922 dilution assay model in the history of humankind has landed 😊. A lot has been happening in Probula lately, b
Recently, we discussed @kach 's paper on self-inferring probabilistic programs in our group's journal club. This inspired me to dive into the implementation of probabilistic programming languages and to try it out myself using #Gleam. I've
#probabilisticprogramming across platforms
every network with a public tag surfaceFollow #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.
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