#timeseriesanalysis
Live, measured metrics for the hashtag #timeseriesanalysis from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #timeseriesanalysis
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 20:11 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 20:11 UTCNo related tags with measured usage found for #timeseriesanalysis.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 20:11 UTCEverything below is measured over the latest 23 public posts (spanning ~28776 hours).
Posting hours (UTC) — busiest: 07:00
Languages: English (23)
Avg boosts / post: 1.2
Top of the latest posts
Introducing LongMemory.jl: A Julia Package for Long Memory Time Series Analysis 🖥️📚📈📊 I am happy to announce that after several months of getting to understand the language better, I have finally published my first Julia registered pack
I'm pleased to announce release 0.7 of pg_statviz, the minimalist #extension and utility pair for time series analysis and visualization of #PostgreSQL internal statistics, with brand new features and #Postgres 17 support! https://vyruss.or
In connection with #juliacon2024 (which I sadly could not attend), LongMemory.jl has been updated to v0.1.2. The main addition to the package is the test for change in persistence. It is now possible to test if the long memory parameter cha
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/timeseriesanalysis