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Comparison

ome vs open-webui

Verdict

Pick ome when ome is primarily Go; open-webui is Python; pick open-webui when open-webui is primarily Python; ome is Go.

Markdown twin · ome alternatives · open-webui alternatives

GraphCanon updated today

ome logo

ome

ome-projects/ome

★ 479pushed Jul 11, 2026
vs
open-webui logo

open-webui

open-webui/open-webui

★ 145kpushed Jul 10, 2026

Trust & integrity

Signalomeopen-webui
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No MCP manifest
As of today · mcp_manifest
ome trust reportopen-webui trust reportTrust methodology

Tagline

ome
Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton
open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Stars

ome
479
open-webui
145k

Forks

ome
84
open-webui
21k

Open issues

ome
117
open-webui
391

Language

ome
Go
open-webui
Python

Adopt for

ome
-
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.

Persona

ome
-
open-webui
-

Runtime

ome
-
open-webui
-

License

ome
Apache-2.0
open-webui
Other

Last pushed

ome
Jul 11, 2026
open-webui
Jul 10, 2026

Categories

ome
LLM Frameworks, Inference & Serving
open-webui
LLM Frameworks, Inference & Serving

Trust and health

Open issues (now)

ome
117
open-webui
391

Security scan

ome
No lockfile
open-webui
No MCP manifest

Full report

ome
Trust report
open-webui
Trust report

Choose ome if…

  • ome is primarily Go; open-webui is Python.
  • License: ome is Apache-2.0, open-webui is Other.
  • Tags unique to ome: llama, deepseek, model-serving, kimi-k2.

When NOT to use ome

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Choose open-webui if…

  • open-webui is primarily Python; ome is Go.
  • License: open-webui is Other, ome is Apache-2.0.
  • Tags unique to open-webui: self-hosted, ai, openai.
  • When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface.

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

Explore

ome trust report →open-webui trust report →LLM Frameworks category →Inference & Serving 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: ome 479 · open-webui 145k (synced Jul 11, 2026).

Common questions

What is the difference between ome and open-webui?
ome: Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton. open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). See the comparison table for live GitHub stats and shared categories.
When should I choose ome over open-webui?
Choose ome over open-webui when ome is primarily Go; open-webui is Python; License: ome is Apache-2.0, open-webui is Other; Tags unique to ome: llama, deepseek, model-serving, kimi-k2.
When should I choose open-webui over ome?
Choose open-webui over ome when open-webui is primarily Python; ome is Go; License: open-webui is Other, ome is Apache-2.0; Tags unique to open-webui: self-hosted, ai, openai; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface.
When should I avoid ome?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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.
Is ome or open-webui more popular on GitHub?
open-webui has more GitHub stars (145,029 vs 479). Stars measure visibility, not whether either tool fits your constraints.
Are ome and open-webui open source?
Yes - both are open-source projects on GitHub (ome: Apache-2.0, open-webui: Other).
Where can I find alternatives to ome or open-webui?
GraphCanon lists graph-backed alternatives at ome alternatives and open-webui alternatives (ome markdown twin, open-webui 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, ome or open-webui?
ome: Very active. open-webui: Very active. 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 ome and open-webui?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ome trust report; open-webui trust report.