Home/Compare/ollama vs ome

Comparison

ollama vs ome

Verdict

Pick ollama when license: ollama is MIT, ome is Apache-2.0; pick ome when license: ome is Apache-2.0, ollama is MIT.

Markdown twin · ollama alternatives · ome alternatives

GraphCanon updated today

ollama logo

ollama

ollama/ollama

176kpushed Jul 10, 2026
vs
ome logo

ome

ome-projects/ome

479pushed Jul 11, 2026

Trust & integrity

Signalollamaome
Maintenance
Very active (1d 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)
52 low (52 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

ollama
Get up and running with various large language models using Ollama.
ome
Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton

Stars

ollama
176k
ome
479

Forks

ollama
17k
ome
84

Open issues

ollama
3.4k
ome
117

Language

ollama
Go
ome
Go

Adopt for

ollama
Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and
ome
-

Persona

ollama
-
ome
-

Runtime

ollama
-
ome
-

License

ollama
MIT license - permissive open-source licensing that allows for broad use of the tool.
ome
Apache-2.0

Last pushed

ollama
Jul 10, 2026
ome
Jul 11, 2026

Categories

ollama
LLM Frameworks, Inference & Serving
ome
LLM Frameworks, Inference & Serving

Trust and health

Days since push

ollama
1d
ome
0d

Open issues (now)

ollama
3.4k
ome
117

Security scan

ollama
52 low (52 low)
ome
No lockfile

Full report

Choose ollama if…

  • License: ollama is MIT, ome is Apache-2.0.
  • Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
  • Tags unique to ollama: go, llms, mistral, gemma.
  • ollama ships Docker support for self-hosted deployment.
  • Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or

When NOT to use ollama

  • Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.

Choose ome if…

  • License: ome is Apache-2.0, ollama is MIT.
  • Tags unique to ome: llm, model-serving, kimi-k2, llm-inference.
  • More recently updated (last pushed Jul 11, 2026).

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.

Explore

Sources

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

GitHub stars on cards: ollama 176k · ome 479 (synced Jul 11, 2026).

Common questions

What is the difference between ollama and ome?
ollama: Get up and running with various large language models using Ollama.. ome: Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton. See the comparison table for live GitHub stats and shared categories.
When should I choose ollama over ome?
Choose ollama over ome when License: ollama is MIT, ome is Apache-2.0; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: go, llms, mistral, gemma; ollama ships Docker support for self-hosted deployment; Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or.
When should I choose ome over ollama?
Choose ome over ollama when License: ome is Apache-2.0, ollama is MIT; Tags unique to ome: llm, model-serving, kimi-k2, llm-inference; More recently updated (last pushed Jul 11, 2026).
When should I avoid ollama?
Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.
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.
Is ollama or ome more popular on GitHub?
ollama has more GitHub stars (175,936 vs 479). Stars measure visibility, not whether either tool fits your constraints.
Are ollama and ome open source?
Yes - both are open-source projects on GitHub (ollama: MIT, ome: Apache-2.0).
Where can I find alternatives to ollama or ome?
GraphCanon lists graph-backed alternatives at ollama alternatives and ome alternatives (ollama markdown twin, ome 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, ollama or ome?
ollama: Very active. ome: 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 ollama and ome?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ollama trust report; ome trust report.