--- title: "BodhiApp vs langserve" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-langchain-ai-langserve" tools: ["bodhisearch-bodhiapp", "langchain-ai-langserve"] --- # BodhiApp vs langserve *GraphCanon updated Aug 13, 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 langserve if langServe offers tools to deploy and serve models using LangChain with FastAPI. [BodhiApp](https://getbodhi.app/) reports 136 GitHub stars, 10 forks, and 10 open issues, last pushed Jul 26, 2026. [langserve](https://github.com/langchain-ai/langserve) has 2.3k stars, 272 forks, and 139 open issues, last pushed May 5, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [langserve's repository](https://github.com/langchain-ai/langserve). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [langserve](/tools/langchain-ai-langserve.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | LangServe 🦜️🏓 | | Stars | 136 | 2,332 | | Forks | 10 | 272 | | Open issues | 10 | 139 | | Language | TypeScript | JavaScript | | Adopt for | BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. | LangServe offers tools to deploy and serve models using LangChain with FastAPI. | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | Other | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [langserve](/tools/langchain-ai-langserve.md) | | --- | --- | --- | | Maintenance | Active (82%) | Archived (8%) | | Days since push | 18d | 94d | | Archived on GitHub | No | Yes | | Open issues (now) | 10 | 139 | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/langchain-ai-langserve/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: langserve - **Adopt for:** LangServe offers tools to deploy and serve models using LangChain with FastAPI. ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; langserve is JavaScript. - 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 langserve if… - langserve is primarily JavaScript; BodhiApp is TypeScript. - Tags unique to langserve: deployment, fastapi, langchain, llms. - When you are working in an environment where models need to be served efficiently and require the capabilities of both LangChain and FastAPI. ## 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 langserve - When you prefer using frameworks or tools that are not built around Python's ecosystem and require languages like JavaScript or Java. - If your project specifically requires a non-FastAPI backend for serving models because of specific performance criteria, constraints, or compatibility issues with FastAPI. ## Common questions ### What is the difference between BodhiApp and langserve? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. langserve: LangServe 🦜️🏓. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over langserve? Choose BodhiApp over langserve when BodhiApp is primarily TypeScript; langserve is JavaScript; 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 langserve over BodhiApp? Choose langserve over BodhiApp when langserve is primarily JavaScript; BodhiApp is TypeScript; Tags unique to langserve: deployment, fastapi, langchain, llms; When you are working in an environment where models need to be served efficiently and require the capabilities of both LangChain and FastAPI. ### 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 langserve? When you prefer using frameworks or tools that are not built around Python's ecosystem and require languages like JavaScript or Java. If your project specifically requires a non-FastAPI backend for serving models because of specific performance criteria, constraints, or compatibility issues with FastAPI. ### Is BodhiApp or langserve more popular on GitHub? langserve has more GitHub stars (2,332 vs 136). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and langserve open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or langserve? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [langserve alternatives](/tools/langchain-ai-langserve/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [langserve markdown twin](/tools/langchain-ai-langserve/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-langchain-ai-langserve.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or langserve? BodhiApp: Active. langserve: Archived. 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 langserve? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [langserve trust report](/tools/langchain-ai-langserve/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/_