--- title: "BodhiApp vs shimmy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-michael-a-kuykendall-shimmy" tools: ["bodhisearch-bodhiapp", "michael-a-kuykendall-shimmy"] --- # BodhiApp vs shimmy *GraphCanon updated Aug 24, 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 shimmy if shimmy is a Rust-based inference engine that excels in running AI models on various GPUs without the need for Python or llama.cpp dependencies. It provides an OpenAI API-compatible interface and supports GGUF natively. [BodhiApp](https://getbodhi.app/) reports 136 GitHub stars, 10 forks, and 10 open issues, last pushed Jul 26, 2026. [shimmy](https://github.com/Michael-A-Kuykendall/shimmy) has 5.8k stars, 559 forks, and 12 open issues, last pushed Aug 20, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [shimmy's repository](https://github.com/Michael-A-Kuykendall/shimmy). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [shimmy](/tools/michael-a-kuykendall-shimmy.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | ⚡ A Pure-Rust WebGPU Inference Engine, OpenAI-API Compatible and Native to GGUF | | Stars | 136 | 5,808 | | Forks | 10 | 559 | | Open issues | 10 | 12 | | 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. | Shimmy is a Rust-based inference engine that excels in running AI models on various GPUs without the need for Python or llama.cpp dependencies. It provides an OpenAI API-compatible interface and supports GGUF natively. | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [shimmy](/tools/michael-a-kuykendall-shimmy.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 18d | 4d | | Open issues (now) | 10 | 12 | | Stars delta | Unknown | +111 (30d) | | Open issues delta | Unknown | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/michael-a-kuykendall-shimmy/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: shimmy - **Adopt for:** Shimmy is a Rust-based inference engine that excels in running AI models on various GPUs without the need for Python or llama.cpp dependencies. It provides an OpenAI API-compatible interface and supports GGUF natively. ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; shimmy 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 shimmy if… - shimmy is primarily Rust; BodhiApp is TypeScript. - Tags unique to shimmy: api-server, command-line-tool, gguf, huggingface. - Also covers Developer Tools. - shimmy ships Docker support for self-hosted deployment. - - When you want to run AI models with WebGPU support directly through Rust, reducing dependency overhead associated with Python environments ## 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 shimmy - - If your project specifically requires Python-based dependencies or you prefer using the llama.cpp framework for model inference - - In scenarios where compatibility with a wide range of existing Python machine learning ecosystems and their comprehensive tooling is necessary ## Common questions ### What is the difference between BodhiApp and shimmy? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. shimmy: ⚡ A Pure-Rust WebGPU Inference Engine, OpenAI-API Compatible and Native to GGUF. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over shimmy? Choose BodhiApp over shimmy when BodhiApp is primarily TypeScript; shimmy 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 shimmy over BodhiApp? Choose shimmy over BodhiApp when shimmy is primarily Rust; BodhiApp is TypeScript; Tags unique to shimmy: api-server, command-line-tool, gguf, huggingface; Also covers Developer Tools; shimmy ships Docker support for self-hosted deployment; - When you want to run AI models with WebGPU support directly through Rust, reducing dependency overhead associated with Python environments. ### 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 shimmy? - If your project specifically requires Python-based dependencies or you prefer using the llama.cpp framework for model inference - In scenarios where compatibility with a wide range of existing Python machine learning ecosystems and their comprehensive tooling is necessary ### Is BodhiApp or shimmy more popular on GitHub? shimmy has more GitHub stars (5,808 vs 136). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and shimmy open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or shimmy? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [shimmy alternatives](/tools/michael-a-kuykendall-shimmy/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [shimmy markdown twin](/tools/michael-a-kuykendall-shimmy/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-michael-a-kuykendall-shimmy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or shimmy? BodhiApp: Active. shimmy: 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 shimmy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [shimmy trust report](/tools/michael-a-kuykendall-shimmy/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/_