--- title: "BodhiApp vs rkllama" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-notpunchnox-rkllama" tools: ["bodhisearch-bodhiapp", "notpunchnox-rkllama"] --- # BodhiApp vs rkllama *GraphCanon updated Aug 25, 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 rkllama if ollama alternative for Rockchip NPU: optimized AI and deep learning inference on Rockchip devices. [BodhiApp](https://getbodhi.app/) reports 136 GitHub stars, 10 forks, and 10 open issues, last pushed Jul 26, 2026. [rkllama](https://github.com/NotPunchnox/rkllama) has 590 stars, 99 forks, and 65 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [rkllama's repository](https://github.com/NotPunchnox/rkllama). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [rkllama](/tools/notpunchnox-rkllama.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | Ollama alternative for Rockchip NPU with optimized AI and Deep learning model inference | | Stars | 136 | 590 | | Forks | 10 | 99 | | Open issues | 10 | 65 | | 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. | Ollama alternative for Rockchip NPU: optimized AI and deep learning inference on Rockchip devices | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | GPL-3.0 | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [rkllama](/tools/notpunchnox-rkllama.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 18d | 48d | | Open issues (now) | 10 | 65 | | Stars delta | Unknown | +13 (30d) | | Open issues delta | Unknown | +6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/notpunchnox-rkllama/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: rkllama - **Adopt for:** Ollama alternative for Rockchip NPU: optimized AI and deep learning inference on Rockchip devices ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; rkllama 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 rkllama if… - rkllama is primarily Python; BodhiApp is TypeScript. - Tags unique to rkllama: ai, client-server, llm-inference, npu-llm. - rkllama ships Docker support for self-hosted deployment. - You need to run models specifically optimized for Rockchip Neural Processing Unit (NPU) ## 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 rkllama - Your hardware does not include a Rockchip NPU - You are looking for an AI solution that works across multiple non-Rockchip platforms ## Common questions ### What is the difference between BodhiApp and rkllama? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. rkllama: Ollama alternative for Rockchip NPU with optimized AI and Deep learning model inference. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over rkllama? Choose BodhiApp over rkllama when BodhiApp is primarily TypeScript; rkllama 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 rkllama over BodhiApp? Choose rkllama over BodhiApp when rkllama is primarily Python; BodhiApp is TypeScript; Tags unique to rkllama: ai, client-server, llm-inference, npu-llm; rkllama ships Docker support for self-hosted deployment; You need to run models specifically optimized for Rockchip Neural Processing Unit (NPU). ### 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 rkllama? Your hardware does not include a Rockchip NPU You are looking for an AI solution that works across multiple non-Rockchip platforms ### Is BodhiApp or rkllama more popular on GitHub? rkllama has more GitHub stars (590 vs 136). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and rkllama open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or rkllama? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [rkllama alternatives](/tools/notpunchnox-rkllama/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [rkllama markdown twin](/tools/notpunchnox-rkllama/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-notpunchnox-rkllama.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or rkllama? BodhiApp: Active. rkllama: Steady. 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 rkllama? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [rkllama trust report](/tools/notpunchnox-rkllama/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/_