--- title: "kubeai vs ome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kubeai-project-kubeai-vs-ome-projects-ome" tools: ["kubeai-project-kubeai", "ome-projects-ome"] --- # kubeai vs ome *GraphCanon updated Aug 25, 2026* ## 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. [kubeai](https://www.kubeai.org) reports 1.2k GitHub stars, 131 forks, and 112 open issues, last pushed Jul 31, 2026. [ome](http://ome-projects.github.io/ome/) has 495 stars, 92 forks, and 127 open issues, last pushed Aug 25, 2026. Figures are from public GitHub metadata via [kubeai's repository](https://github.com/kubeai-project/kubeai) and [ome's repository](https://github.com/ome-projects/ome). | | [kubeai](/tools/kubeai-project-kubeai.md) | [ome](/tools/ome-projects-ome.md) | | --- | --- | --- | | Tagline | AI Inference Operator for Kubernetes | Kubernetes operator for LLM serving and management | | Stars | 1,237 | 495 | | Forks | 131 | 92 | | Open issues | 112 | 127 | | Language | Go | Go | | Adopt for | kubeai is an AI Inference Operator for Kubernetes that simplifies serving ML models in production environments and optimizes performance at scale. | 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 | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks, Speech & Audio | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [kubeai](/tools/kubeai-project-kubeai.md) | [ome](/tools/ome-projects-ome.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 112 | 127 | | Stars delta | Unknown | +13 (30d) | | Open issues delta | Unknown | +6 (30d) | | Full report | [trust report](/tools/kubeai-project-kubeai/trust.md) | [trust report](/tools/ome-projects-ome/trust.md) | ## Decision facts: kubeai - **Adopt for:** kubeai is an AI Inference Operator for Kubernetes that simplifies serving ML models in production environments and optimizes performance at scale. ## Decision facts: ome - **Adopt for:** 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. ## Choose when ### 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 ### 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 Aug 25, 2026). ## 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 ## 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 ## 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; More recently updated (last pushed Aug 25, 2026). ### 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 495). 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](/tools/kubeai-project-kubeai/alternatives) and [ome alternatives](/tools/ome-projects-ome/alternatives) ([kubeai markdown twin](/tools/kubeai-project-kubeai/alternatives.md), [ome markdown twin](/tools/ome-projects-ome/alternatives.md)), 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](/compare/kubeai-project-kubeai-vs-ome-projects-ome.md) 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](/tools/kubeai-project-kubeai/trust); [ome trust report](/tools/ome-projects-ome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kubeai-project-kubeai`](/api/graphcanon/graph?tool=kubeai-project-kubeai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_