#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.
Own #jupytext
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-01 13:05 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-01 13:05 UTCNo related tags with measured usage found for #jupytext.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-01 13:05 UTCEverything below is measured over the latest 11 public posts (spanning ~29500 hours).
Posting hours (UTC)
Languages: English (9) · Portuguese (1) · German (1)
Avg boosts / post: 0.8
Top of the latest posts
@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.
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
So I was having so much trouble x2go-ing with vscode for notebooks. Moved the workflow to emacs with jupytext and voilà ! I can open as many instances as I want, my crappy ssh bandwidth is ok, and of course, I can actually code properly. Wi
#jupytext across platforms
every network with a public tag surfaceFollow #jupytext 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/jupytext