#numba
Live, measured metrics for the hashtag #numba from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #numba
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 · mastodon.social (Mastodon public tags API) · fetched 2026-10-19 10:59 UTC0 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 2026-10-19 10:59 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-19 10:59 UTCEverything below is measured over the latest 40 public posts (spanning ~25655 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (30) · Russian (5) · Italian (2) · Chinese (1) · Japanese (1) · German (1)
Avg boosts / post: 2.1
Top of the latest posts
Python: Schneller als man denkt Beginn einer Artikelserie zum Thema schneller Python Code. Eine Einführung mit einer Auflistung verschiedener Strategien die verglichen werden. #Python #Cython #Numpy #Numba #Linux https://gnulinux.ch/python-
WARNING: Upgrading to Ubuntu 24.04 LTS (Noble Numbat) now risks system crashes, so hold off. Fixes coming soon. https://linuxiac.com/do-not-try-to-upgrade-to-ubuntu-24-04-at-this-time/ #ubuntu #numba
Reminder: @numba is an *excellent* accelerator for numeric computations in Python. Also, issues with Python's stability are greatly exaggerated. Case in point: I just ran my 8yo n-body benchmarks without modification: https://github.com/jni
What “numba” means
WikipediaNumba is an open-source JIT compiler that translates a subset of Python and NumPy into fast machine code using LLVM, via the llvmlite Python package. It offers a range of options for parallelising Python code for CPUs and GPUs, often with only minor code changes.
“Numba” on Wikipedia (CC BY-SA) →#numba across platforms
every network with a public tag surfaceFollow #numba 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/numba