#numpy2
Live, measured metrics for the hashtag #numpy2 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #numpy2
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.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-09-13 20:19 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-09-13 20:19 UTCNo related tags with measured usage found for #numpy2.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-13 20:19 UTCEverything below is measured over the latest 2 public posts (spanning ~1849 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 1.5
Used together with
Top of the latest posts
From @ralfgommers on the #NumPy issue tracker regarding #NumPy2: Public service announcement: if your package uses pybind11 to interact with NumPy, you have to upgrade to the just-released pybind11 2.12.0: https://pypi.org/project/pybind11/
#NumPy2 is coming! Ensure your code doesn't break by avoiding NumPy 2 installation, pinning dependencies, monitoring updates, and using Ruff to update code. #Python #AISummary https://pythonspeed.com/articles/numpy-2/
What “numpy2” means
WikipediaNumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. The predecessor of NumPy, Numeric, was originally created by Jim Hugunin with contributions from several other developers. In 2005, Travis Oliphant created NumPy by incorporating features of the competing Numarray into Numeric, with extensive modifications. NumPy is open-source softw
“NumPy” on Wikipedia (CC BY-SA) →#numpy2 across platforms
every network with a public tag surfaceFollow #numpy2 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/numpy2