#caterva2

Live, measured metrics for the hashtag #caterva2 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 #caterva2

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.

$110.68/ year · 8-character #name
Claim #caterva2 — $110.68/yr→
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
0
Avg reactions / post
Mastodon · last 7

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 10:00 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 10:00 UTC

No related tags with measured usage found for #caterva2.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 10:00 UTC

Everything below is measured over the latest 7 public posts (spanning ~13536 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (7)

Avg boosts / post: 0.7

Top of the latest posts

  • 🚀 Our #PyDataGlobal 2025 tutorial recording on modern #Blosc2 & #Caterva2 features is out! We show how compression is more than just a space saver, boosting performance for large in-memory & out-of-memory arrays via auto-chunking & paralle

    Francesc Alted@[email protected]♥ 0↻ 12026-01-21 12:57 UTCView post →

  • 🚀 Caterva2 2025.8.7 is out! This release features a major refactoring for a simpler, more robust system. Best of all, client APIs are unaffected. ✅ 🌟 Highlights: The new cat2agent 🤖: A CLI client to watch a directory and auto-sync it wit

    ironArray SLU@[email protected]♥ 0↻ 12025-08-07 09:54 UTCView post →

  • Thanks to the advanced double partitioning techniques in #Blosc2, our #Caterva2 package can serve small slices of big datasets (3.8 GB) through internet in less than the blink of an eye. See how you can do that with the help of #JupyterLite

    ironArray SLU@[email protected]♥ 0↻ 12025-07-09 15:44 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/caterva2