#tabular

Live, measured metrics for the hashtag #tabular 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 #tabular

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 #tabular$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
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
26
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 26
0.2
Avg reactions / post
Mastodon · last 26

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 08:53 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 2026-07-27 08:53 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:53 UTC

Everything below is measured over the latest 26 public posts (spanning ~53326 hours).

Posting hours (UTC) — busiest: 15:00

00:0012:0023:00

Languages: English (23) · Russian (1) · Japanese (1) · French (1)

Avg boosts / post: 0.3

Top of the latest posts

  • Been expanding work benchmarking #TabPFN against more standard #tabular classification methods. Here’s a comparison of training accuracy on Census data as a function of training set size. #XGBoost produces equal accuracy to TabPFN’s max tra

    Tyler James Burch@tylerjburch222022-10-30 19:25 UTCView post →
  • 🐢 At Giskard, we're creating a robust #ML framework for #testing ML #models effectively. We help identify #biases and #errors in AI models, from #tabular to #LLMs. Participating in DEFCON allows us to collaborate with leading experts and s

    Giskard@Giskard102023-08-03 09:21 UTCView post →
  • 🚀 #Test your #ML models with our #opensource library to x2 your ML workflow 🤯 🌟 Check out our easy #tutorial to detect hidden issues with your models, from #tabular to #LLMs 👉 https://gisk.ar/3pIAy8c 👇 [1/4]

    Giskard@Giskard102023-07-12 08:20 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/tabular