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Home/Compare/open-webui vs ray-llm

Comparison

open-webui vs ray-llm

Verdict

Pick open-webui when tags unique to open-webui: ai, openai, self-hosted; pick ray-llm when tags unique to ray-llm: llm-serving, ray.

Markdown twin · open-webui alternatives · ray-llm alternatives

GraphCanon updated today

open-webui logo

open-webui

open-webui/open-webui

★ 145kpushed Jul 10, 2026
vs
ray-llm logo

ray-llm

ray-project/ray-llm

★ 1.3kpushed Mar 13, 2025

Trust & integrity

Signalopen-webuiray-llm
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Archived (485d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No MCP manifest
As of 1d · mcp_manifest
No lockfile
As of today · none
open-webui trust reportray-llm trust reportTrust methodology

Tagline

open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
ray-llm
RayLLM - LLMs on Ray (Archived). Read README for more info.

Stars

open-webui
145k
ray-llm
1.3k

Forks

open-webui
21k
ray-llm
90

Open issues

open-webui
391
ray-llm
0

Language

open-webui
Python
ray-llm
-

Adopt for

open-webui
Suitable for developers working with large language models who require a user-friendly interface and support for multiple APIs including Ollama and OpenAI.
ray-llm
-

Persona

open-webui
-
ray-llm
-

Runtime

open-webui
-
ray-llm
-

License

open-webui
Other
ray-llm
-

Last pushed

open-webui
Jul 10, 2026
ray-llm
Mar 13, 2025

Categories

open-webui
Inference & Serving, LLM Frameworks
ray-llm
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

open-webui
Very active (96%)
ray-llm
Archived (8%)

Days since push

open-webui
0d
ray-llm
485d

Archived on GitHub

open-webui
No
ray-llm
Yes

Open issues (now)

open-webui
391
ray-llm
0

Security scan

open-webui
No MCP manifest
ray-llm
No lockfile

Full report

open-webui
Trust report
ray-llm
Trust report

Choose open-webui if…

  • Tags unique to open-webui: ai, openai, self-hosted.
  • When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface.
  • More GitHub stars (145k vs 1.3k) - visibility, not fit.

When NOT to use open-webui

  • When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui.
  • If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction platform.
GitHubDetails

Choose ray-llm if…

  • Tags unique to ray-llm: llm-serving, ray.
  • Leaner open-issue backlog (0).

When NOT to use ray-llm

  • ray-llm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Explore

open-webui trust report →ray-llm trust report →Inference & Serving category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: open-webui 145k · ray-llm 1.3k (synced Jul 11, 2026).

Common questions

What is the difference between open-webui and ray-llm?
open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). ray-llm: RayLLM - LLMs on Ray (Archived). Read README for more info.. See the comparison table for live GitHub stats and shared categories.
When should I choose open-webui over ray-llm?
Choose open-webui over ray-llm when Tags unique to open-webui: ai, openai, self-hosted; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface; More GitHub stars (145k vs 1.3k) - visibility, not fit.
When should I choose ray-llm over open-webui?
Choose ray-llm over open-webui when Tags unique to ray-llm: llm-serving, ray; Leaner open-issue backlog (0).
When should I avoid open-webui?
When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui. If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction platform.
When should I avoid ray-llm?
ray-llm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is open-webui or ray-llm more popular on GitHub?
open-webui has more GitHub stars (145,029 vs 1,263). Stars measure visibility, not whether either tool fits your constraints.
Are open-webui and ray-llm open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to open-webui or ray-llm?
GraphCanon lists graph-backed alternatives at open-webui alternatives and ray-llm alternatives (open-webui markdown twin, ray-llm markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, open-webui or ray-llm?
open-webui: Very active. ray-llm: Archived. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for open-webui and ray-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-webui trust report; ray-llm trust report.