#datascienceinfsharp

Live, measured metrics for the hashtag #datascienceinfsharp from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
19
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 19
0.1
Avg reactions / post
Mastodon · last 19
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-29 05:43 UTC
0
10-23
0
10-24
0
10-25
0
10-26
0
10-27
0
10-28
0
10-29

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 2026-10-29 05:43 UTC

No related tags with measured usage found for #datascienceinfsharp.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-29 05:43 UTC

Everything below is measured over the latest 19 public posts (spanning ~1872 hours).

Posting hours (UTC) — busiest: 07:00

00:0012:0023:00

Languages: English (19)

Avg boosts / post: 1.6

Top of the latest posts

  • A great #fsharp day ends with a highlight #DataScienceInFSharp

    dawe@[email protected]♥ 1↻ 02023-09-28 15:03 UTCView post →
  • Another day, another #DataScienceInFSharp recording release!📹 And this time it's from @kMutagene with his wonderful presentation on 'Writing Libraries for the FsLab Ecosystem'👨‍💻 https://www.youtube.com/watch?v=N-DlD-oqoxc

    FsLab@[email protected]♥ 0↻ 02023-12-13 10:39 UTCView post →
  • Benedikt's slides can also be found here: https://github.com/fslaborg/conference-resources/blob/main/2023_data_science_in_fsharp/working_with_sparse_time_series_data_in_computational_biology/working_with_sparse_time_series_data_in_computati

    FsLab@[email protected]♥ 0↻ 02023-12-08 16:17 UTCView post →

#datascienceinfsharp across platforms

every network with a public tag surface

Follow #datascienceinfsharp 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/datascienceinfsharp