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Comparison

kubeai vs ome

Verdict

Pick kubeai if kubeAI is an AI inference operator for Kubernetes that simplifies the deployment and scaling of machine learning models, including LLMs, embeddings, and speech-to-text services, with intelligent scaling and optimized for; 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.

Markdown twin · kubeai alternatives · ome alternatives

GraphCanon updated Sep 20, 2026

12views this month

kubeai logo

kubeai

kubeai-project/kubeai

★ 1.3kpushed Sep 17, 2026
vs
ome logo

ome

ome-projects/ome

★ 509pushed Sep 20, 2026

Trust & integrity

Signalkubeaiome
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · 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
kubeai trust reportome trust reportTrust methodology

Tagline

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

Stars

kubeai
1.3k
ome
509

Forks

kubeai
137
ome
97

Open issues

kubeai
121
ome
141

Language

kubeai
Go
ome
Go

Adopt for

kubeai
KubeAI is an AI inference operator for Kubernetes that simplifies the deployment and scaling of machine learning models, including LLMs, embeddings, and speech-to-text services, with intelligent scaling and optimized for
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
Sep 17, 2026
ome
Sep 20, 2026

Categories

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

Trust and health

Open issues (now)

kubeai
121
ome
141

Stars delta

kubeai
+28 (30d)
ome
+27 (30d)

Open issues delta

kubeai
+9 (30d)
ome
+20 (30d)

OSV dependency advisories

kubeai
Published findings
ome
No lockfile (source not queried)

Full report

kubeai
Trust report
ome
Trust report

Choose kubeai if…

  • Pricing: The tool is free and open-source under the Apache-2.0 license, but additional services or support might incur costs.
  • Requirements: Min 4 GB RAM; Requires Docker; Requires a Kubernetes cluster; Supports deployment on CPU, GPU, or TPU hardware.
  • Tags unique to kubeai: ai, autoscaler, faster-whisper, inference-operator.
  • Also covers Speech & Audio.
  • kubeai ships Docker support for self-hosted deployment.
  • you need to deploy and scale machine learning models on Kubernetes, especially LLMs, embeddings, and speech-to-text services

When NOT to use kubeai

  • you are looking for a solution that requires additional systems like Istio or Knative for scale-from-zero
  • you need a tool that heavily relies on Prometheus metrics adapter for autoscaling
  • you are working in an environment that does not support Kubernetes
  • you prefer a more complex setup with multiple dependencies for customization
GitHubDetails

Choose ome if…

  • Tags unique to ome: gpu-scheduling, kubernetes-operator, llm-inference, model-serving.
  • If you need robust GPU scheduling alongside LLM serving
  • More recently updated (last pushed Sep 20, 2026).

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
GitHubDetails

Explore

kubeai trust report →ome trust report →Inference & Serving category →Speech & Audio 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: kubeai 1.3k · ome 509 (synced Sep 20, 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 Pricing: The tool is free and open-source under the Apache-2.0 license, but additional services or support might incur costs; Requirements: Min 4 GB RAM; Requires Docker; Requires a Kubernetes cluster; Supports deployment on CPU, GPU, or TPU hardware; Tags unique to kubeai: ai, autoscaler, faster-whisper, inference-operator; Also covers Speech & Audio; kubeai ships Docker support for self-hosted deployment; you need to deploy and scale machine learning models on Kubernetes, especially LLMs, embeddings, and speech-to-text services.
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; More recently updated (last pushed Sep 20, 2026).
When should I avoid kubeai?
you are looking for a solution that requires additional systems like Istio or Knative for scale-from-zero you need a tool that heavily relies on Prometheus metrics adapter for autoscaling you are working in an environment that does not support Kubernetes you prefer a more complex setup with multiple dependencies for customization
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 (1,265 vs 509). 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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