--- title: "BodhiApp vs openinfer" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-openinfer-project-openinfer" tools: ["bodhisearch-bodhiapp", "openinfer-project-openinfer"] --- # BodhiApp vs openinfer *GraphCanon updated Sep 20, 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 openinfer if high-performance GPU-based inference engine for Rust developers targeting Qwen3 and Kimi-K2 using pure CUDA kernels. [BodhiApp](https://getbodhi.app/) reports 139 GitHub stars, 11 forks, and 12 open issues, last pushed Sep 20, 2026. [openinfer](https://pegainfer.org/) has 705 stars, 107 forks, and 85 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [openinfer's repository](https://github.com/openinfer-project/openinfer). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [openinfer](/tools/openinfer-project-openinfer.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | Pure Rust CUDA LLM inference engine serving multiple models including Qwen3 and Kimi-K2 | | Stars | 139 | 705 | | Forks | 11 | 107 | | Open issues | 12 | 85 | | Language | TypeScript | Rust | | Adopt for | BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. | high-performance GPU-based inference engine for Rust developers targeting Qwen3 and Kimi-K2 using pure CUDA kernels | | 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) | [openinfer](/tools/openinfer-project-openinfer.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 12 | 85 | | Stars delta | +3 (30d) | +120 (30d) | | Open issues delta | +2 (30d) | -43 (30d) | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/openinfer-project-openinfer/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: openinfer - **Adopt for:** high-performance GPU-based inference engine for Rust developers targeting Qwen3 and Kimi-K2 using pure CUDA kernels ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; openinfer is Rust. - 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 openinfer if… - openinfer is primarily Rust; BodhiApp is TypeScript. - Tags unique to openinfer: cuda, gpu, llm-inference, openai-api. - When you are working with large language models Qwen3 and/or Kimi-K2 specifically, and want to avoid PyTorch dependencies. ## 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 openinfer - Avoid if you are developing models other than Qwen3 or Kimi-K2 as support for other models might be limited. - Not recommended for projects where PyTorch integration is crucial as this tool does not depend on it and may require changes in existing workflows. ## Common questions ### What is the difference between BodhiApp and openinfer? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. openinfer: Pure Rust CUDA LLM inference engine serving multiple models including Qwen3 and Kimi-K2. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over openinfer? Choose BodhiApp over openinfer when BodhiApp is primarily TypeScript; openinfer is Rust; 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 openinfer over BodhiApp? Choose openinfer over BodhiApp when openinfer is primarily Rust; BodhiApp is TypeScript; Tags unique to openinfer: cuda, gpu, llm-inference, openai-api; When you are working with large language models Qwen3 and/or Kimi-K2 specifically, and want to avoid PyTorch dependencies. ### 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 openinfer? Avoid if you are developing models other than Qwen3 or Kimi-K2 as support for other models might be limited. Not recommended for projects where PyTorch integration is crucial as this tool does not depend on it and may require changes in existing workflows. ### Is BodhiApp or openinfer more popular on GitHub? openinfer has more GitHub stars (705 vs 139). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and openinfer open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or openinfer? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [openinfer alternatives](/tools/openinfer-project-openinfer/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [openinfer markdown twin](/tools/openinfer-project-openinfer/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-openinfer-project-openinfer.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or openinfer? BodhiApp: Very active. openinfer: 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 openinfer? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [openinfer trust report](/tools/openinfer-project-openinfer/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/_