Comparison
BodhiApp vs LLMKube
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.
Markdown twin · BodhiApp alternatives · LLMKube alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | BodhiApp | LLMKube |
|---|---|---|
| Maintenance | Active (18d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- BodhiApp
- Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
- LLMKube
- Kubernetes operator for self-hosted LLM inference
Stars
- BodhiApp
- 136
- LLMKube
- 183
Forks
- BodhiApp
- 10
- LLMKube
- 27
Open issues
- BodhiApp
- 10
- LLMKube
- 77
Language
- BodhiApp
- TypeScript
- LLMKube
- Go
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- LLMKube
- LLMKube is a Kubernetes operator designed for deploying and scaling Language Model (LM) inference across different GPU types, supporting multiple runtimes.
Persona
- BodhiApp
- -
- LLMKube
- -
Runtime
- BodhiApp
- -
- LLMKube
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- LLMKube
- Apache-2.0
Last pushed
- BodhiApp
- Jul 26, 2026
- LLMKube
- Aug 1, 2026
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- LLMKube
- Inference & Serving
Trust and health
Maintenance
- BodhiApp
- Active (82%)
- LLMKube
- Very active (96%)
Days since push
- BodhiApp
- 18d
- LLMKube
- 0d
Open issues (now)
- BodhiApp
- 10
- LLMKube
- 77
OSV dependency advisories
- BodhiApp
- No lockfile (source not queried)
- LLMKube
- No published findings from this source as of 2026-07-11
Full report
- BodhiApp
- Trust report
- LLMKube
- Trust report
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.
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.
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 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).
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (BodhiSearch/BodhiApp) · observed Aug 13, 2026
- GitHub forks (BodhiSearch/BodhiApp) · observed Aug 13, 2026
- Last push (BodhiSearch/BodhiApp) · observed Jul 26, 2026
- License file (unknown) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (defilantech/LLMKube) · observed Aug 2, 2026
- GitHub forks (defilantech/LLMKube) · observed Aug 2, 2026
- Last push (defilantech/LLMKube) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BodhiApp 136 · LLMKube 183 (synced Aug 13, 2026).
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 and LLMKube alternatives (BodhiApp markdown twin, LLMKube 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, 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; LLMKube trust report.