#pymc
Live, measured metrics for the hashtag #pymc from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #pymc
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 2026-07-27 08:10 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 2026-07-27 08:10 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:10 UTCEverything below is measured over the latest 40 public posts (spanning ~29620 hours).
Posting hours (UTC) — busiest: 18:00
Languages: English (34) · German (2) · Chinese (Taiwan) (1) · Spanish (1)
Avg boosts / post: 1.8
Top of the latest posts
My first blog post using #bayesian modelling (with #pymc) on estimating tenure effects: https://aurimas.eu/blog/2023/04/modeling-tenure-effects-the-bayesian-way/ I couldn't have done it without going through the fantastic Statistical Rethin
#PyData #Helsinki Talk recordings now up on YouTube: https://www.youtube.com/@PyData_Helsinki • #Bayesian analysis of zoo visits with #PyMC and #Marimo notebooks by Teemi Säilynoja • #LLM evaluation methodology and dashboard in #Python #Plo
Advancing probabilistic programming for scientific applications? #EuroSciPy2025 welcomes original research on Bayesian methods, MCMC algorithms, and statistical modeling in #Python. Submit your work as tutorials, talks, or posters! #Bayesia
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/pymc