#skrub

Live, measured metrics for the hashtag #skrub 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 #skrub

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.

$1,129.43/ year · 5-character #name
Claim #skrub — $1,129.43/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
0
Avg reactions / post
Mastodon · last 3
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-30 04:59 UTC
0
09-24
0
09-25
0
09-26
0
09-27
0
09-28
0
09-29
0
09-30

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 2026-09-30 04:59 UTC

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-30 04:59 UTC

Everything below is measured over the latest 3 public posts (spanning ~9627 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3)

Avg boosts / post: 0

Top of the latest posts

  • Tabular data powers a huge share of machine learning applications, bringing with it the challenge of turning fragmented, messy datasets into reliable features. The Python library #skrub for "Machine learning with dataframes", part of the wi

    Compute! Paris@computeparis♥ 0↻ 02026-08-07 09:55 UTCView post →
  • Off to a nice start with sprints at #EuroScipy. If GitHub (or FOSS, rather) was a physical space this was what it feels and looks like. A couple of contributions in #skrub and #tabICL and learned how to work with #scikitlearn.

    Ashwin V. Mohanan@[email protected]♥ 0↻ 02026-07-18 15:14 UTCView post →
  • 🚨 Tutorial at #EuroSciPy2025: Skrub – Machine Learning for DataFrames Skrub bridges the gap between your Pandas/Polars tables and scikit-learn pipelines, making preprocessing of tabular data: Easier, Consistent, Less error-prone Presented

    EuroSciPy@[email protected]♥ 0↻ 02025-07-02 07:01 UTCView post →

#skrub across platforms

every network with a public tag surface

Follow #skrub 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/skrub