--- title: "BodhiApp vs LLMKube" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-defilantech-llmkube" tools: ["bodhisearch-bodhiapp", "defilantech-llmkube"] --- # BodhiApp vs LLMKube *GraphCanon updated Aug 13, 2026* ## Verdict Pick BodhiApp if bodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods; pick LLMKube if lLMKube is a Kubernetes operator designed for deploying and scaling Language Model (LM) inference across different GPU types, supporting multiple runtimes. [BodhiApp](https://getbodhi.app/) reports 136 GitHub stars, 10 forks, and 10 open issues, last pushed Jul 26, 2026. [LLMKube](https://llmkube.com) has 183 stars, 27 forks, and 77 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [LLMKube's repository](https://github.com/defilantech/LLMKube). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [LLMKube](/tools/defilantech-llmkube.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | Kubernetes operator for self-hosted LLM inference | | Stars | 136 | 183 | | Forks | 10 | 27 | | Open issues | 10 | 77 | | Language | TypeScript | Go | | Adopt for | BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. | LLMKube is a Kubernetes operator designed for deploying and scaling Language Model (LM) inference across different GPU types, supporting multiple runtimes. | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [LLMKube](/tools/defilantech-llmkube.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 18d | 0d | | Open issues (now) | 10 | 77 | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/defilantech-llmkube/trust.md) | ## Decision facts: BodhiApp - **Pricing:** unknown - Pricing details are not mentioned in the repository data. - **Requirements:** Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen. - **Adopt for:** BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. - **License detail:** The license information for BodhiApp has not been provided. ## Decision facts: LLMKube - **Adopt for:** LLMKube is a Kubernetes operator designed for deploying and scaling Language Model (LM) inference across different GPU types, supporting multiple runtimes. ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; LLMKube is Go. - Pricing: Pricing details are not mentioned in the repository data.. - Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.. - Tags unique to BodhiApp: gemma, generative-ai, llama, llm. - Also covers LLM Frameworks. - You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### Choose LLMKube if… - LLMKube is primarily Go; BodhiApp is TypeScript. - Tags unique to LLMKube: ai, apple-silicon, autoscaling, edge-computing. - LLMKube ships Docker support for self-hosted deployment. - Use LLMKube if you need to run self-hosted Language Model inference with support for various GPU types like NVIDIA CUDA, AMD Vulkan, or Apple Silicon Metal. ## When NOT to use BodhiApp - Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. - If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. - You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems. ## When NOT to use LLMKube - Avoid LLMKube if your deployment environment strictly limits the use of Kubernetes or does not support the specified GPU types - NVIDIA CUDA, AMD Vulkan, Apple Silicon Metal. - Not recommended for users who require a solution that only supports specific models or runtimes which are not covered by the runtime options provided (llama.cpp, vLLM, TGI, mlx-server). ## Common questions ### What is the difference between BodhiApp and LLMKube? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. LLMKube: Kubernetes operator for self-hosted LLM inference. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over LLMKube? Choose BodhiApp over LLMKube when BodhiApp is primarily TypeScript; LLMKube is Go; Pricing: Pricing details are not mentioned in the repository data.; Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.; Tags unique to BodhiApp: gemma, generative-ai, llama, llm; Also covers LLM Frameworks; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### When should I choose LLMKube over BodhiApp? Choose LLMKube over BodhiApp when LLMKube is primarily Go; BodhiApp is TypeScript; Tags unique to LLMKube: ai, apple-silicon, autoscaling, edge-computing; LLMKube ships Docker support for self-hosted deployment; Use LLMKube if you need to run self-hosted Language Model inference with support for various GPU types like NVIDIA CUDA, AMD Vulkan, or Apple Silicon Metal. ### When should I avoid BodhiApp? Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems. ### When should I avoid LLMKube? Avoid LLMKube if your deployment environment strictly limits the use of Kubernetes or does not support the specified GPU types - NVIDIA CUDA, AMD Vulkan, Apple Silicon Metal. Not recommended for users who require a solution that only supports specific models or runtimes which are not covered by the runtime options provided (llama.cpp, vLLM, TGI, mlx-server). ### Is BodhiApp or LLMKube more popular on GitHub? LLMKube has more GitHub stars (183 vs 136). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and LLMKube open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or LLMKube? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [LLMKube alternatives](/tools/defilantech-llmkube/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [LLMKube markdown twin](/tools/defilantech-llmkube/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/bodhisearch-bodhiapp-vs-defilantech-llmkube.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or LLMKube? BodhiApp: Active. LLMKube: 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 BodhiApp and LLMKube? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [LLMKube trust report](/tools/defilantech-llmkube/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bodhisearch-bodhiapp`](/api/graphcanon/graph?tool=bodhisearch-bodhiapp) - 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/_