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raydar

Live, user-editable Ray cluster dashboard powered by Perspective, installed with a simple pip install.

PlatformWebfree

Raydar is a free, open-source, Perspective-powered dashboard for Ray distributed computing clusters, giving live cluster metrics and user-editable custom visualizations for Ray workflows with a simple pip install, as an easier-to-customize alternative to Ray's default Grafana/Prometheus stack. By default it runs in the user's own process pulling data over the existing Ray connection, so the cluster needs no open inbound port. It targets machine learning engineers running distributed workloads on Ray or Anyscale clusters.

Categories
DashboardMachine Learning Infrastructure

Full match profile

Behind the summary, Matchbox keeps a richer profile of raydar - the signals our matcher actually reads to decide when to surface it. It stays private; claim the listing to see and control it.

  • Problem & pain-point mapping
  • Who we surface it to (audience fit)
  • What it's a strong alternative to
  • Trust & credibility signals

Try Matchbox with your own problem

Describe what is not working - we’ll show you whether raydar (or something else) actually fits.