--- title: "BodhiApp vs openlm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-r2d4-openlm" tools: ["bodhisearch-bodhiapp", "r2d4-openlm"] --- # BodhiApp vs openlm *GraphCanon updated Aug 15, 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 openlm if openLM is a flexible Python library designed to interface with various Language Model frameworks similarly to the OpenAI API. [BodhiApp](https://getbodhi.app/) reports 136 GitHub stars, 10 forks, and 10 open issues, last pushed Jul 26, 2026. [openlm](https://github.com/r2d4/openlm) has 368 stars, 22 forks, and 1 open issues, last pushed May 19, 2023. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [openlm's repository](https://github.com/r2d4/openlm). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [openlm](/tools/r2d4-openlm.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | OpenAI-compatible Python client for calling any LLM | | Stars | 136 | 368 | | Forks | 10 | 22 | | Open issues | 10 | 1 | | 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. | OpenLM is a flexible Python library designed to interface with various Language Model frameworks similarly to the OpenAI API. | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | MIT License | | Categories | Inference & Serving, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [openlm](/tools/r2d4-openlm.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 18d | 1184d | | Open issues (now) | 10 | 1 | | Stars delta | Unknown | -1 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/r2d4-openlm/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: openlm - **Requirements:** Installation is as simple as using pip to install the openlm package. - **Adopt for:** OpenLM is a flexible Python library designed to interface with various Language Model frameworks similarly to the OpenAI API. - **License detail:** MIT License ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; openlm 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 Inference & Serving. - You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### Choose openlm if… - openlm is primarily Python; BodhiApp is TypeScript. - Requirements: Installation is as simple as using pip to install the openlm package.. - Tags unique to openlm: cohere, huggingface, openai. - Use when you want to seamlessly integrate different LLM frameworks, like Hugging Face or Cohere, under a uniform interface similar to OpenAI’s. ## 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 openlm - Avoid when you require maximum performance optimization specific to one LLM framework, as using an intermediary library like OpenLM might introduce additional overhead. - Not suitable if you are strictly working with models that do not have Python support or don't fit within the frameworks supported by OpenLM. ## Common questions ### What is the difference between BodhiApp and openlm? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. openlm: OpenAI-compatible Python client for calling any LLM. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over openlm? Choose BodhiApp over openlm when BodhiApp is primarily TypeScript; openlm 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 Inference & Serving; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### When should I choose openlm over BodhiApp? Choose openlm over BodhiApp when openlm is primarily Python; BodhiApp is TypeScript; Requirements: Installation is as simple as using pip to install the openlm package.; Tags unique to openlm: cohere, huggingface, openai; Use when you want to seamlessly integrate different LLM frameworks, like Hugging Face or Cohere, under a uniform interface similar to OpenAI’s. ### 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 openlm? Avoid when you require maximum performance optimization specific to one LLM framework, as using an intermediary library like OpenLM might introduce additional overhead. Not suitable if you are strictly working with models that do not have Python support or don't fit within the frameworks supported by OpenLM. ### Is BodhiApp or openlm more popular on GitHub? openlm has more GitHub stars (368 vs 136). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and openlm open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or openlm? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [openlm alternatives](/tools/r2d4-openlm/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [openlm markdown twin](/tools/r2d4-openlm/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-r2d4-openlm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or openlm? BodhiApp: Active. openlm: Dormant. 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 openlm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [openlm trust report](/tools/r2d4-openlm/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/_