#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.
Own #geopython
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:46 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 07:46 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:46 UTCEverything below is measured over the latest 40 public posts (spanning ~8834 hours).
Posting hours (UTC) — busiest: 14:00
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
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-
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 #
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