#RPackages

Live, measured metrics for the hashtag #RPackages 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 #rpackages

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.

$51.02/ year · 9-character #name
Claim #rpackages — $51.02/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
15
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 15
0.9
Avg reactions / post
Mastodon · last 15
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-11-07 23:30 UTC
0
11-01
0
11-02
0
11-03
0
11-04
0
11-05
0
11-06
0
11-07

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 2026-11-07 23:30 UTC
#RPackageSoftware
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-07 23:30 UTC

Everything below is measured over the latest 15 public posts (spanning ~54167 hours).

Posting hours (UTC) — busiest: 11:00

00:0012:0023:00

Languages: English (14)

Avg boosts / post: 1.2

Top of the latest posts

  • 🎉 New in #typeR 0.2.0: typeRun()! ⚡ Types AND executes R code in real-time 🎮 Interactive pause/resume (ESC) 🧠 Smart output truncation 📄 Works with .R/. Rmd/.qmd Perfect for live teaching & demos! 📦 https://github.com/Fgazzelloni/typeR

    Federica Gazzelloni@fgazzelloni@fosstodon.org♥ 5↻ 32026-01-22 16:20 UTCView post →

  • Successfully submitted my first package to CRAN 🎉 We bundled a few helper functions from tidy-finance.org, focusing on downloading data for the initial release. In which direction should we extend the package scope? 🤔 Link to CRAN: https:

    Christoph Scheuch@christophscheuch♥ 4↻ 02024-03-05 13:25 UTCView post →

  • 1. write a function 2. write roxygen documentation 3. procrastinate for a hour 4. lunch 5. write unit tests #rstats #RPackages

    climbertobby@climbertobby@chaos.social♥ 2↻ 02022-11-09 11:03 UTCView post →

#rpackages across platforms

every network with a public tag surface

Follow #rpackages 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/rpackages