#blosc2

Live, measured metrics for the hashtag #blosc2 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 #blosc2

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.

$520.70/ year · 6-character #name
Claim #blosc2$520.70/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
31
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 31
0.9
Avg reactions / post
Mastodon · last 31

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 08:34 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 08:34 UTC

No related tags with measured usage found for #blosc2.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:34 UTC

Everything below is measured over the latest 31 public posts (spanning ~26089 hours).

Posting hours (UTC) — busiest: 12:00

00:0012:0023:00

Languages: English (31)

Avg boosts / post: 1.5

Top of the latest posts

  • Our @EuroSciPy 2025 tutorial on modern Blosc2 features is now online! 🚀 For the first time, we present our holistic view on how compression can revolutionize data handling, sharing, and computing. Learn how Blosc2 boosts performance for la

    Blosc Development Team@Blosc2412025-11-07 11:34 UTCView post →
  • Just took the new engine in Python-Blosc2 4.0 for a spin, and the performance results are quite awesome. Processing a 400 MB array: 🔹 NumPy baseline: 146 ms 🔹 Blosc2 (on NumPy arrays): 73.1 ms (2x faster) 🔹 Blosc2 (on native Blosc2 array

    Blosc Development Team@Blosc2322026-02-05 06:37 UTCView post →
  • 🚀 We are thrilled to announce *TreeStore*, a new class in Python-Blosc2! It lets you give your datasets a hierarchical structure while keeping the speed and efficiency of `NDArray` instances. ⚡️ 📝 We've blogged all about it here: https://

    Blosc Development Team@Blosc2312025-08-20 05:55 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/blosc2