#jupyter
Live, measured metrics for the hashtag #jupyter from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #jupyter
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 · mas.to (Mastodon public tags API) · fetched 2026-10-17 14:05 UTC3 uses by 3 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 2026-10-17 14:05 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-17 14:05 UTCEverything below is measured over the latest 40 public posts (spanning ~2349 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (32) · French (4) · Russian (2) · Catalan (1) · German (1)
Avg boosts / post: 0.7
Top of the latest posts
JupyterLite 0.8 is here, and it's a big one for running Jupyter fully in the browser with zero server setup. New in this release: a Copy Shareable Link button for REPLs, a refreshed loading screen, file system reliability fixes, an in-brows
Juno 4 in one minute: an entire Python project, a local Flask web server in the built-in browser, Jupyter notebooks, and a live REPL — running natively on an iPad, fully offline. AI assistance is strictly bring-your-own-key; your code never
I just discovered #marimo https://marimo.io/ as an alternative to #Jupyter. It's reactive (changes are automatically reflected to following cells), the internal format is pure #Python, not JSON, and the UI itself is much more pleasant with
What “jupyter” means
WikipediaProject Jupyter is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages.
“Project Jupyter” on Wikipedia (CC BY-SA) →#jupyter across platforms
every network with a public tag surfaceFollow #jupyter 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/jupyter