--- title: "BodhiApp vs qwen3.6-windows-server" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-devnen-qwen3-6-windows-server" tools: ["bodhisearch-bodhiapp", "devnen-qwen3-6-windows-server"] --- # BodhiApp vs qwen3.6-windows-server *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 qwen3.6-windows-server if native Windows tool for Qwen3.6-27B inference without WSL or Docker. Offers speed of 158 tok/s on RTX 5090, 72 tok/s on RTX 3090. [BodhiApp](https://getbodhi.app/) reports 139 GitHub stars, 11 forks, and 12 open issues, last pushed Sep 20, 2026. [qwen3.6-windows-server](https://github.com/devnen/qwen3.6-windows-server) has 229 stars, 23 forks, and 9 open issues, last pushed May 14, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [qwen3.6-windows-server's repository](https://github.com/devnen/qwen3.6-windows-server). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [qwen3.6-windows-server](/tools/devnen-qwen3-6-windows-server.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | One-click Qwen3.6-27B inference tool for Windows | | Stars | 139 | 229 | | Forks | 11 | 23 | | Open issues | 12 | 9 | | Language | TypeScript | Python | | Adopt for | BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. | Native Windows tool for Qwen3.6-27B inference without WSL or Docker. Offers speed of 158 tok/s on RTX 5090, 72 tok/s on RTX 3090. | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | - | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [qwen3.6-windows-server](/tools/devnen-qwen3-6-windows-server.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 128d | | Open issues (now) | 12 | 9 | | Stars delta | +3 (30d) | +2 (30d) | | Open issues delta | +2 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/devnen-qwen3-6-windows-server/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: qwen3.6-windows-server - **Adopt for:** Native Windows tool for Qwen3.6-27B inference without WSL or Docker. Offers speed of 158 tok/s on RTX 5090, 72 tok/s on RTX 3090. ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; qwen3.6-windows-server is Python. - 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 qwen3.6-windows-server if… - qwen3.6-windows-server is primarily Python; BodhiApp is TypeScript. - Tags unique to qwen3.6-windows-server: llm-inference, offline-ai, privacy, qwen. - Need to run Qwen3.6-27B natively on Windows with no reliance on WSL or Docker ## 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 qwen3.6-windows-server - Require Linux OS, since this tool avoids using WSL for native performance - If looking for multi-GPU support, as specified speeds are single-GPU focused ## Common questions ### What is the difference between BodhiApp and qwen3.6-windows-server? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. qwen3.6-windows-server: One-click Qwen3.6-27B inference tool for Windows. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over qwen3.6-windows-server? Choose BodhiApp over qwen3.6-windows-server when BodhiApp is primarily TypeScript; qwen3.6-windows-server is Python; 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 qwen3.6-windows-server over BodhiApp? Choose qwen3.6-windows-server over BodhiApp when qwen3.6-windows-server is primarily Python; BodhiApp is TypeScript; Tags unique to qwen3.6-windows-server: llm-inference, offline-ai, privacy, qwen; Need to run Qwen3.6-27B natively on Windows with no reliance on WSL or Docker. ### 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 qwen3.6-windows-server? Require Linux OS, since this tool avoids using WSL for native performance If looking for multi-GPU support, as specified speeds are single-GPU focused ### Is BodhiApp or qwen3.6-windows-server more popular on GitHub? qwen3.6-windows-server has more GitHub stars (229 vs 139). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and qwen3.6-windows-server open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or qwen3.6-windows-server? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [qwen3.6-windows-server alternatives](/tools/devnen-qwen3-6-windows-server/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [qwen3.6-windows-server markdown twin](/tools/devnen-qwen3-6-windows-server/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-devnen-qwen3-6-windows-server.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or qwen3.6-windows-server? BodhiApp: Very active. qwen3.6-windows-server: Slowing. 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 qwen3.6-windows-server? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [qwen3.6-windows-server trust report](/tools/devnen-qwen3-6-windows-server/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/_