#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.

hashtag.org network · sponsored

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.

$240.06/ year · 7-character #name
Claim #jupyter$240.06/yr
Annual, renews each year
Buy on hashtag.space (web3)
one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.5
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 02:34 UTC
0
07-21
0
07-22
0
07-23
1
07-24
0
07-25
0
07-26
0
07-27

1 uses by 1 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 02:34 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 02:34 UTC

Everything below is measured over the latest 40 public posts (spanning ~1869 hours).

Posting hours (UTC) — busiest: 15:00

00:0012:0023:00

Languages: English (36) · German (2) · Russian (2)

Avg boosts / post: 0.7

Top of the latest posts

  • #JupyterLab 4.6 and #Jupyter #Notebook 7.6 are out! https://blog.jupyter.org/jupyterlab-4-6-and-notebook-7-6-are-out-dd84e1e919f2

    Michał Krassowski@krassowski312026-07-02 17:35 UTCView post →
  • Real-time collaboration in Jupyter Notebooks isn't just for humans anymore. At JupyterCon, Zach Sailer, and Abigayle Mercer from Apple demoed AI agents working directly inside notebooks, contributing code, documentation, and visualizations

    Project Jupyter@[email protected]302026-05-21 15:23 UTCView post →
  • I'm still trying to wrap my head around this, but it looks very interesting: https://geolibre.app/python/ #geolibre #gis #floss #python #jupyter #geoprocessing

    Alexandre B A Villares ☔🐍@[email protected]212026-07-11 12:56 UTCView post →

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