--- title: "BodhiApp vs infinity" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-michaelfeil-infinity" tools: ["bodhisearch-bodhiapp", "michaelfeil-infinity"] --- # BodhiApp vs infinity *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 infinity if infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, CLIP, CLAP, and COLPAli, offering support for various hardware accelerators via CLI and Docker containers. [BodhiApp](https://getbodhi.app/) reports 139 GitHub stars, 11 forks, and 12 open issues, last pushed Sep 20, 2026. [infinity](https://michaelfeil.github.io/infinity/) has 2.9k stars, 207 forks, and 136 open issues, last pushed Mar 24, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [infinity's repository](https://github.com/michaelfeil/infinity). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [infinity](/tools/michaelfeil-infinity.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | High-throughput, low-latency serving engine for text-embeddings, reranking models, CLIP, CLAP, and COLPAli | | Stars | 139 | 2,942 | | Forks | 11 | 207 | | Open issues | 12 | 136 | | 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. | Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, CLIP, CLAP, and COLPAli, offering support for various hardware accelerators via CLI and Docker containers. | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | MIT | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [infinity](/tools/michaelfeil-infinity.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 178d | | Open issues (now) | 12 | 136 | | Stars delta | +3 (30d) | +35 (30d) | | Open issues delta | +2 (30d) | +6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/michaelfeil-infinity/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: infinity - **Adopt for:** Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, CLIP, CLAP, and COLPAli, offering support for various hardware accelerators via CLI and Docker containers. ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; infinity 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, local-llm. - Also covers LLM Frameworks. - You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### Choose infinity if… - infinity is primarily Python; BodhiApp is TypeScript. - Tags unique to infinity: bert-embeddings, cpu, docker, gpu. - Use Infinity when you need to serve text-embeddings and reranking models with high throughput and low latency, especially when you have access to hardware accelerators like GPUs or ROCm. ## 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 infinity - Avoid using Infinity if you do not have access to hardware accelerators and prefer a lightweight solution, as the specialized Docker images for ROCm and ONNX-GPU are not built via CI/CD and may not be - Do not use Infinity if you need a serving engine that is frequently updated via CI/CD, as some specialized Docker images are not automatically built and may require manual version pinning. ## Common questions ### What is the difference between BodhiApp and infinity? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. infinity: High-throughput, low-latency serving engine for text-embeddings, reranking models, CLIP, CLAP, and COLPAli. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over infinity? Choose BodhiApp over infinity when BodhiApp is primarily TypeScript; infinity 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, local-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 infinity over BodhiApp? Choose infinity over BodhiApp when infinity is primarily Python; BodhiApp is TypeScript; Tags unique to infinity: bert-embeddings, cpu, docker, gpu; Use Infinity when you need to serve text-embeddings and reranking models with high throughput and low latency, especially when you have access to hardware accelerators like GPUs or ROCm. ### 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 infinity? Avoid using Infinity if you do not have access to hardware accelerators and prefer a lightweight solution, as the specialized Docker images for ROCm and ONNX-GPU are not built via CI/CD and may not be Do not use Infinity if you need a serving engine that is frequently updated via CI/CD, as some specialized Docker images are not automatically built and may require manual version pinning. ### Is BodhiApp or infinity more popular on GitHub? infinity has more GitHub stars (2,942 vs 139). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and infinity open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or infinity? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [infinity alternatives](/tools/michaelfeil-infinity/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [infinity markdown twin](/tools/michaelfeil-infinity/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-michaelfeil-infinity.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or infinity? BodhiApp: Very active. infinity: 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 infinity? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [infinity trust report](/tools/michaelfeil-infinity/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/_