#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 · mas.to (Mastodon public tags API) · fetched 2026-11-09 20:43 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 2026-11-09 20:43 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-09 20:43 UTCEverything below is measured over the latest 40 public posts (spanning ~28508 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (33) · Russian (3) · Italian (2) · Chinese (1) · German (1)
Avg boosts / post: 1.5
Top of the latest posts
Currently playing with adding optional #Numba support to Complexitty; my #Mandelbrot plotter for the #terminal. The speedup is okay. Given this zoom and position, on my M2 Mac mini, 0.8 seconds. With Numba: 0.2 seconds. I should give it a s
The config args give a pretty good summary of how I built my coin toss app (see 2/2). job_config (n, runs, Kb, Kbt, Lb, Kf, Kft, Lf, rK, nitro, turbo, summary, new_csv, cold_restart, multi_engine, cpu_sys, cpu_mp) Almost done coding multi-p
@jimgar Somewhat tongue in cheek but this older benchmark shows a couple of things about base #Python vs base #Rstats vs #Perl and (surprisingly for those who don't know it exists) how fast the Perl authothreading library #PDL is vs #numba
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