#dlmf

Live, measured metrics for the hashtag #dlmf 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 #dlmf

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.

$2,449.80/ year · 4-character #name
Claim #dlmf$2,449.80/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0.5
Avg reactions / post
Mastodon · last 2
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-01 13:46 UTC
0
07-26
0
07-27
0
07-28
0
07-29
0
07-30
0
07-31
0
08-01

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 2026-08-01 13:46 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-01 13:46 UTC

Everything below is measured over the latest 2 public posts (spanning ~26439 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (1) · German (1)

Avg boosts / post: 0

Top of the latest posts

  • It looks like the #DLMF website does not play nice with browsers set to dark mode. That the LaTeX formulae remain black even in dark mode is only a little more frustrating. Shouldn't #MathJax be able to detect whether dark mode is enabled,

    𝓙. 𝓜.@[email protected]102026-06-09 18:37 UTCView post →
  • Somewhat naturally, this book is also among the most referenced sources both in #DLMF and #OEIS, as shown by the links below the review.

    zbMATH Open@[email protected]002023-06-04 03:52 UTCView post →

What “dlmf” means

Wikipedia

The Digital Library of Mathematical Functions (DLMF) is an online project at the National Institute of Standards and Technology (NIST) to develop a database of mathematical reference data for special functions and their applications. It is intended as an update of Abramowitz's and Stegun's Handbook of Mathematical Functions (A&S). It was published online on 7 May 2010, though some chapters appeared earlier. In the same year it appeared at Cambridge University Press under the title NIST Handboo

Digital Library of Mathematical Functions” on Wikipedia (CC BY-SA) →

#dlmf across platforms

every network with a public tag surface

Follow #dlmf 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/dlmf