Home/Compare/kubeai vs ome

Comparison

kubeai vs ome

Verdict

Pick kubeai if kubeai is an AI Inference Operator for Kubernetes that simplifies serving ML models in production environments and optimizes performance at scale; pick ome if oME is a Kubernetes operator tailored for LLM serving and management, focusing on tasks such as GPU scheduling and model lifecycle control, compatible with SGLang, vLLM, TensorRT-LLM, and Triton.

Markdown twin · kubeai alternatives · ome alternatives

GraphCanon updated 2w

kubeai logo

kubeai

kubeai-project/kubeai

1.2kpushed Jul 31, 2026
vs
ome logo

ome

ome-projects/ome

482pushed Jul 25, 2026

Trust & integrity

Signalkubeaiome
Maintenance
Very active (2d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

kubeai
AI Inference Operator for Kubernetes
ome
Kubernetes operator for LLM serving and management

Stars

kubeai
1.2k
ome
482

Forks

kubeai
131
ome
87

Open issues

kubeai
112
ome
121

Language

kubeai
Go
ome
Go

Adopt for

kubeai
kubeai is an AI Inference Operator for Kubernetes that simplifies serving ML models in production environments and optimizes performance at scale.
ome
OME is a Kubernetes operator tailored for LLM serving and management, focusing on tasks such as GPU scheduling and model lifecycle control, compatible with SGLang, vLLM, TensorRT-LLM, and Triton.

Persona

kubeai
-
ome
-

Runtime

kubeai
-
ome
-

License

kubeai
Apache-2.0
ome
Apache-2.0

Last pushed

kubeai
Jul 31, 2026
ome
Jul 25, 2026

Categories

kubeai
Inference & Serving, LLM Frameworks, Speech & Audio
ome
Inference & Serving

Trust and health

Days since push

kubeai
2d
ome
0d

Open issues (now)

kubeai
112
ome
121

OSV dependency advisories

kubeai
Published findings
ome
No lockfile (source not queried)

Full report

Choose kubeai if…

  • Tags unique to kubeai: ai, autoscaler, faster-whisper, inference-operator.
  • Also covers LLM Frameworks, Speech & Audio.
  • kubeai ships Docker support for self-hosted deployment.
  • - When you need to operate vLLM and Ollama servers for LLM inferencing

When NOT to use kubeai

  • - When your setup requires non-standard Kubernetes services that mandate the use of Istio or similar dependency injection systems
  • - If you're working in a constrained environment where zero-dependency is not desirable due to specific requirements for extended observability tools like Prometheus

Choose ome if…

  • Tags unique to ome: gpu-scheduling, kubernetes-operator, llm-inference, model-serving.
  • If you need robust GPU scheduling alongside LLM serving

When NOT to use ome

  • In environments where a language other than Go for the operator's implementation is preferred
  • When your infrastructure does not support or utilize Kubernetes for orchestration purposes

Explore

Sources

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

GitHub stars on cards: kubeai 1.2k · ome 482 (synced Aug 2, 2026).

Common questions

What is the difference between kubeai and ome?
kubeai: AI Inference Operator for Kubernetes. ome: Kubernetes operator for LLM serving and management. See the comparison table for live GitHub stats and shared categories.
When should I choose kubeai over ome?
Choose kubeai over ome when Tags unique to kubeai: ai, autoscaler, faster-whisper, inference-operator; Also covers LLM Frameworks, Speech & Audio; kubeai ships Docker support for self-hosted deployment; - When you need to operate vLLM and Ollama servers for LLM inferencing.
When should I choose ome over kubeai?
Choose ome over kubeai when Tags unique to ome: gpu-scheduling, kubernetes-operator, llm-inference, model-serving; If you need robust GPU scheduling alongside LLM serving.
When should I avoid kubeai?
- When your setup requires non-standard Kubernetes services that mandate the use of Istio or similar dependency injection systems - If you're working in a constrained environment where zero-dependency is not desirable due to specific requirements for extended observability tools like Prometheus
When should I avoid ome?
In environments where a language other than Go for the operator's implementation is preferred When your infrastructure does not support or utilize Kubernetes for orchestration purposes
Is kubeai or ome more popular on GitHub?
kubeai has more GitHub stars (1,237 vs 482). Stars measure visibility, not whether either tool fits your constraints.
Are kubeai and ome open source?
Yes - both are open-source projects on GitHub (kubeai: Apache-2.0, ome: Apache-2.0).
Where can I find alternatives to kubeai or ome?
GraphCanon lists graph-backed alternatives at kubeai alternatives and ome alternatives (kubeai 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, kubeai or ome?
kubeai: 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 kubeai and ome?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: kubeai trust report; ome trust report.

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