#geopython

Live, measured metrics for the hashtag #geopython 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 #geopython

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.

$51.02/ year · 9-character #name
Claim #geopython$51.02/yr
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
4.3
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:46 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 07:46 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:46 UTC

Everything below is measured over the latest 40 public posts (spanning ~8834 hours).

Posting hours (UTC) — busiest: 14:00

00:0012:0023:00

Languages: English (37) · French (2) · Portuguese (1)

Avg boosts / post: 5.4

Top of the latest posts

  • We just published a JOSIS paper on what spatial data science languages have in common and what they still need. Insights from across the R, Python & Julia ecosystems. URL: https://doi.org/10.5311/JOSIS.2025.31.462 #SpatialDataScience #GISch

    Jakub Nowosad@nowosad23202026-01-11 16:01 UTCView post →
  • Spatial operations in Python? 📍🌍🐍 Chapter 3 of Geocomputation with Python covers: - Vector: spatial joins, subsetting, aggregation, etc. - Raster: map algebra (local, focal, zonal, global), tiling & merging 👉 https://py.geocompx.org/03-

    Jakub Nowosad@nowosad1542025-10-19 13:00 UTCView post →
  • What are the most exciting trends you’re seeing in spatial data science lately? Some of mine: - New file formats (e.g. #GeoParquet) - Geospatial DBs (e.g. #DuckDB + spatial) - Global discrete grids What would you add? #Geospatial #GISchat #

    Jakub Nowosad@nowosad14122025-11-19 14:01 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/geopython