#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 · fosstodon.org (Mastodon public tags API) · fetched 2026-10-14 22:48 UTC2 uses by 2 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 2026-10-14 22:48 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-14 22:48 UTCEverything below is measured over the latest 40 public posts (spanning ~2424 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (33) · French (2) · Russian (2) · German (2) · Catalan (1)
Avg boosts / post: 0.9
Top of the latest posts
I’m introducing basthon-turtle, a browser-friendly implementation of Python’s turtle module. 🐢 It supports interactive drawing in #Pyodide, #Jupyter, #Marimo, and standalone browser windows, with persistent SVG rendering and no Tk dependen
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
🎬️ Marimo as the successor to Jupyter Notebook – Mateusz Konat In this video, Mateusz talks about @marimo_io – successor to the popular Jupyter Notebook. If you're interested in the latest tools from the Python world, be sure to check out
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