#JupyterLite
Live, measured metrics for the hashtag #JupyterLite from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #jupyterlite
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 2026-10-07 01:45 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 2026-10-07 01:45 UTCNo related tags with measured usage found for #jupyterlite.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-07 01:45 UTCEverything below is measured over the latest 40 public posts (spanning ~23180 hours).
Posting hours (UTC) — busiest: 15:00
Languages: English (32) · German (5) · French (2) · Portuguese (1)
Avg boosts / post: 2.9
Top of the latest posts
#JupyterLite Officially Joins Project Jupyter! 🌟 JupyterLite, the lightweight, browser-based Jupyter distribution, has officially become part of Project Jupyter. This is a major milestone for accessible, no-installation-required data scien
🥏 here comes Xeus-R, a future proof #jupyter kernel for #rstats based on the foundations of #Xeus. 📚 read more about it in our article on @ProjectJupyter blog https://blog.jupyter.org/meet-xeus-r-a-future-proof-jupyter-kernel-for-r-1adc5f
JupyterLite enables notebooks to run entirely in the browser without server infrastructure. Learn more: https://blog.jupyter.org/jupyterlite-officially-joins-project-jupyter-77df24c8db80 #Jupyter #JupyterLite #OpenSource #InteractiveComputi
#jupyterlite across platforms
every network with a public tag surfaceFollow #jupyterlite 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/jupyterlite