#xarray
Live, measured metrics for the hashtag #xarray from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #xarray
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:05 UTC0 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 07:05 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:05 UTCEverything below is measured over the latest 40 public posts (spanning ~20762 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (34) · French (4) · Chinese (Taiwan) (1) · Portuguese (1)
Avg boosts / post: 1.8
Top of the latest posts
new GDAL in-dev backend for #xarray coupled directly for Multidim *and* Classic raster (and actually works, pretty good improv this week) #python https://github.com/mdsumner/gdx Please try it out with your most | least favourite Zarr! If yo
I am moving all my computing libraries to #xarray, no regrets. It is a natural way to manipulate datasets of rectangular arrays, with named coordinates and dimensions: https://xarray.dev/ There are several possible backends, including #dask
I am really looking forward to a time when scientific data analysis is less of a constant fuckaround and fight with technical bullshit. I'd *really* like - #netCDF natively supporting complex numbers - #Python #xarray and #pandas to nativel
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/xarray