#dataflows
Live, measured metrics for the hashtag #dataflows from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #dataflows
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 · mastodon.online (Mastodon public tags API) · fetched 2026-09-27 21:24 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-09-27 21:24 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-27 21:24 UTCEverything below is measured over the latest 40 public posts (spanning ~29632 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (25)
Avg boosts / post: 0.2
Top of the latest posts
From Structured Query Languages (SQL) to Dataframe Languages (DL) #sql #dataframe comparison https://zuinnote.eu/blog/?p=2545 #bigdata #dataflows
Google hit with €403M privacy fine over handling of user location data https://www.politico.eu/article/embargo-1pm-cet-google-hit-with-e403-million-privacy-fine-over-handling-of-user-location-data/?utm_source=RSS_Feed&utm_medium=RSS&utm_cam
How to save oneself precious time when developing #dataflows and pipelines for big data: #experimental analysis and D-optimal designs to the rescue! https://www.linkedin.com/posts/chrisarg_one-of-the-best-return-on-investment-things-share-7
What “dataflows” means
WikipediaIn computing, dataflow is a broad concept, which has various meanings depending on the application and context. In the context of software architecture, data flow relates to stream processing or reactive programming.
“Dataflow” on Wikipedia (CC BY-SA) →#dataflows across platforms
every network with a public tag surfaceFollow #dataflows 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/dataflows