#mpfr

Live, measured metrics for the hashtag #mpfr 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 #mpfr

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 #mpfr$2,449.80/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
6
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 6
0.3
Avg reactions / post
Mastodon · last 6

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-07-27 11:15 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 · mastodon.online (Mastodon public search API) · fetched 2026-07-27 11:15 UTC

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-27 11:15 UTC

Everything below is measured over the latest 6 public posts (spanning ~22087 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3) · German (2) · French (1)

Avg boosts / post: 5.8

Top of the latest posts

  • RE: https://social.numerique.gouv.fr/@ouvrirlascience/115649636066049327 We (the #MPFR team) are very proud to share the fact that GNU MPFR received a French open science award for free research software (Prix science ouverte du logiciel li

    Vincent Lefèvre@[email protected]232025-12-05 17:21 UTCView post →
  • Does anyone know of a way to import a very high precision CSV file into R or another numerical language? I have some plain text data with floating points sometimes exceeding quad-precision decimal (34+ digits) which I'd like to work on usin

    Duncan Murray@[email protected]032024-06-15 16:37 UTCView post →
  • Recently found out about libraries like #mpfr and gmp. Going to have some fun implementing an arbitrary precision #FFT algorithm to help quantify the numerical error. Here is the absolute error (bad metric I know) between FFTW and a #dft al

    Dantali0n :arch: :i3:@[email protected]012024-03-12 08:58 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/mpfr