caddy vs ray

Two runtimes that both cover devops.

 caddyray
Stars78,84044,218
In stacks00
Tasksdevopsmulti-agent, data, devops
Last update2026-11-062026-11-06
LicenseApache-2.0Apache-2.0
LanguageGoPython
Install——
SourceRepositoryRepository

How to choose

  • Both are runtimes that cover devops.
  • caddy leads on stars (78,840 to 44,218, 1.8×).
  • ray also covers multi-agent, data.
  • No stack in the registry uses both.
  • ray was updated more recently.

Numbers are a snapshot from 2026-11-06. Check each repository before you commit.

Used together

No stack in the registry uses both yet — they compete rather than pair.