#gkrellm
Live, measured metrics for the hashtag #gkrellm from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #gkrellm
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 2026-10-15 16:02 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 2026-10-15 16:02 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-15 16:02 UTCEverything below is measured over the latest 40 public posts (spanning ~58270 hours).
Posting hours (UTC) — busiest: 07:00
Languages: English (31) · Italian (2) · French (2) · German (2) · Spanish (1)
Avg boosts / post: 0.7
Top of the latest posts
Gkrellm is one of the lightest system monitoring tools that I use, only top and htop are lighter. Of course it's a Natural Choice on not only the SBC Pi5 but on all machines here @rl_dane #Raspberry #Pi5 #SBC #hardware #programming #gkrellm
#NetBSD #screenshot #NeoFetch #StarTrek #Discovery #Syncthing #X11 #ctwm #gkrellm
@RL_Dane I've never stopped using #gkrellm. I use it on all #POSIX installs and even on #win64 when I run some games. I use #htop in console mode and standard tiny #top on small ram systems #bash #sh #zsh #ksh #csh #100DaysOfCode #Linux #PO
What “gkrellm” means
WikipediaGNU Krell Monitors (GKrellM) is a computer system monitor package based on the GTK+ toolkit that creates a single process stack of system monitors. It can be used to monitor the status of CPUs, main memory, hard disks, network interfaces, local and remote mailboxes, and many other things. Plugins are available for a multitude of tasks, e.g., controlling the XMMS media player or a SETI@home client from within the stacked monitor.
“GKrellM” on Wikipedia (CC BY-SA) →#gkrellm across platforms
every network with a public tag surfaceFollow #gkrellm 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/gkrellm