#AnomalyDetection
Live, measured metrics for the hashtag #AnomalyDetection from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #anomalydetection
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 07:38 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 07:38 UTCNo related tags with measured usage found for #anomalydetection.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:38 UTCEverything below is measured over the latest 40 public posts (spanning ~21367 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (40)
Avg boosts / post: 0.3
Top of the latest posts
🚨 New CRAN Task View: Anomaly Detection #rstats #anomalydetection By Priyanga Dilini Talagala @pridiltal , Rob J. Hyndman @robjhyndman Gaetano Romano URL: https://CRAN.R-project.org/view=AnomalyDetection
Feature Spotlight: Anomaly Detection in OpenSearch automatically spot unusual patterns in your logs and metrics with ML-powered insights. Stay one step ahead of potential issues and optimize your systems proactively. https://opensearch.org/
When no data is still important 📊 Missing data isn’t always noise ⚠️ sometimes it’s the signal 🚨. Handling it correctly is key for accurate anomaly detection 🔍 👉 Learn more: https://opensearch.org/blog/a-customer-impact-journey-when-no-
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/anomalydetection