#DataFrames
Live, measured metrics for the hashtag #DataFrames from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #dataframes
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 11:42 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 11:42 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:42 UTCEverything below is measured over the latest 25 public posts (spanning ~53205 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (20) · German (2) · Portuguese (1) · Spanish (1)
Avg boosts / post: 1.3
Top of the latest posts
If you're interested in #dataframes, seems like it starts to be many of us in Mastodon: @jorisvandenbossche @marcogorelli (#pandas) @maartenbreddels (#vaex) @ritchie46 (#polars) @andygrove (#datafusion) @bkamins (#JuliaLang) And probably ot
Using Polars to analyze 1M+ Stack Overflow questions https://www.orchest.io/blog/the-great-python-dataframe-showdown-part-3-lightning-fast-queries-with-polars #python #dataframes #dataengineering #datascience #polars
One of the most promising projects around https://github.com/pola-rs/polars/ :polarbear: #polars #python #data #dataframes #rust #rustlang
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/dataframes