--- title: "BodhiApp vs oterm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-ggozad-oterm" tools: ["bodhisearch-bodhiapp", "ggozad-oterm"] --- # BodhiApp vs oterm *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 oterm if oterm is a terminal client for Large Language Models written in Python that allows for text-based interactions with LLMS through the command line. [BodhiApp](https://getbodhi.app/) reports 139 GitHub stars, 11 forks, and 12 open issues, last pushed Sep 20, 2026. [oterm](https://github.com/ggozad/oterm) has 2.4k stars, 138 forks, and 4 open issues, last pushed Sep 2, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [oterm's repository](https://github.com/ggozad/oterm). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [oterm](/tools/ggozad-oterm.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | the terminal client for LLMs | | Stars | 139 | 2,440 | | Forks | 11 | 138 | | Open issues | 12 | 4 | | 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. | oterm is a terminal client for Large Language Models written in Python that allows for text-based interactions with LLMS through the command line. | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | MIT | | Categories | Inference & Serving, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [oterm](/tools/ggozad-oterm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 17d | | Open issues (now) | 12 | 4 | | Stars delta | +3 (30d) | +21 (30d) | | Open issues delta | +2 (30d) | -1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/ggozad-oterm/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: oterm - **Adopt for:** oterm is a terminal client for Large Language Models written in Python that allows for text-based interactions with LLMS through the command line. ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; oterm 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 oterm if… - oterm is primarily Python; BodhiApp is TypeScript. - Tags unique to oterm: machine-learning, python, terminal. - Also covers Developer Tools. - Use oterm if you prefer interacting with large language models through the terminal rather than using graphical user interfaces or API calls. ## 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 oterm - Avoid oterm if your project requires a GUI for LLM interactions, as it is strictly text-based and does not provide visual elements - Do not use oterm if you need real-time collaboration features, as its terminal-based interface is limited in such functionalities compared to web or desktop applications ## Common questions ### What is the difference between BodhiApp and oterm? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. oterm: the terminal client for LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over oterm? Choose BodhiApp over oterm when BodhiApp is primarily TypeScript; oterm 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 oterm over BodhiApp? Choose oterm over BodhiApp when oterm is primarily Python; BodhiApp is TypeScript; Tags unique to oterm: machine-learning, python, terminal; Also covers Developer Tools; Use oterm if you prefer interacting with large language models through the terminal rather than using graphical user interfaces or API calls. ### 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 oterm? Avoid oterm if your project requires a GUI for LLM interactions, as it is strictly text-based and does not provide visual elements Do not use oterm if you need real-time collaboration features, as its terminal-based interface is limited in such functionalities compared to web or desktop applications ### Is BodhiApp or oterm more popular on GitHub? oterm has more GitHub stars (2,440 vs 139). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and oterm open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or oterm? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [oterm alternatives](/tools/ggozad-oterm/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [oterm markdown twin](/tools/ggozad-oterm/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-ggozad-oterm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or oterm? BodhiApp: Very active. oterm: 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 oterm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [oterm trust report](/tools/ggozad-oterm/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/_