#jupytext

Live, measured metrics for the hashtag #jupytext from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

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$110.68/ year · 8-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
13
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 13
0.5
Avg reactions / post
Mastodon · last 13

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-07-28 11:25 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-07-28 11:25 UTC

No related tags with measured usage found for #jupytext.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-07-28 11:25 UTC

Everything below is measured over the latest 13 public posts (spanning ~29796 hours).

Posting hours (UTC) — busiest: 19:00

00:0012:0023:00

Languages: English (11) · Portuguese (1) · German (1)

Avg boosts / post: 0.9

Top of the latest posts

  • New post: The Technical Guide to Jupyter Setup (Part 2 of my series). If you're still doing pip install jupyter and committing JSON blobs to Git, there's a better way. I'm diving into: ✅ Using #uv for fast envs. ✅ #Jupytext for pairing note

    Omid Farhang@omidfarhang♥ 2↻ 02025-12-23 19:30 UTCView post →

  • @adamsteer I feel like #JupyText solves most of the issues people complain about - your notebook is now a .py file you can run as an executable script or open/edit easily in a different text editor should you or someone else wish to.

    Chris Newton@[email protected]♥ 2↻ 02025-11-12 19:26 UTCView post →

  • We’re rethinking the conference #Hackathon format by launching a HaCLAthon (C=Collaborative, L=Long-term, A=Asynchronous) [1] for the #IOER 2026 conference. [2] The goal is a living #JupyterBook that becomes a citable publication with a DOI

    Alexander Dunkel@[email protected]♥ 1↻ 02026-05-07 11:19 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/jupytext