--- title: "BodhiApp vs sarathi-serve" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-microsoft-sarathi-serve" tools: ["bodhisearch-bodhiapp", "microsoft-sarathi-serve"] --- # BodhiApp vs sarathi-serve *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 sarathi-serve if sarathi Serve targets efficient low-latency and high-throughput inference for LLMs using Python. [BodhiApp](https://getbodhi.app/) reports 136 GitHub stars, 10 forks, and 10 open issues, last pushed Jul 26, 2026. [sarathi-serve](https://github.com/microsoft/sarathi-serve) has 520 stars, 65 forks, and 16 open issues, last pushed Jan 8, 2026. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [sarathi-serve's repository](https://github.com/microsoft/sarathi-serve). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [sarathi-serve](/tools/microsoft-sarathi-serve.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | A low-latency and high-throughput serving engine for LLMs | | Stars | 136 | 520 | | Forks | 10 | 65 | | Open issues | 10 | 16 | | 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. | Sarathi Serve targets efficient low-latency and high-throughput inference for LLMs using Python. | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [sarathi-serve](/tools/microsoft-sarathi-serve.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 18d | 229d | | Open issues (now) | 10 | 16 | | Stars delta | Unknown | +8 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/microsoft-sarathi-serve/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: sarathi-serve - **Adopt for:** Sarathi Serve targets efficient low-latency and high-throughput inference for LLMs using Python. ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; sarathi-serve 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, llm, local-llm. - Also covers LLM Frameworks. - You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### Choose sarathi-serve if… - sarathi-serve is primarily Python; BodhiApp is TypeScript. - Tags unique to sarathi-serve: llm-inference, pytorch, transformer. - Optimize Python-based projects needing quick responses from large language models. ## 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 sarathi-serve - Necessitate a non-Python environment for deployment and operation. - Prefer a tool that incorporates more than just low-latency, high-throughput focus such as multi-language support or specialized optimizations. ## Common questions ### What is the difference between BodhiApp and sarathi-serve? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. sarathi-serve: A low-latency and high-throughput serving engine for LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over sarathi-serve? Choose BodhiApp over sarathi-serve when BodhiApp is primarily TypeScript; sarathi-serve 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, llm, 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 sarathi-serve over BodhiApp? Choose sarathi-serve over BodhiApp when sarathi-serve is primarily Python; BodhiApp is TypeScript; Tags unique to sarathi-serve: llm-inference, pytorch, transformer; Optimize Python-based projects needing quick responses from large language models. ### 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 sarathi-serve? Necessitate a non-Python environment for deployment and operation. Prefer a tool that incorporates more than just low-latency, high-throughput focus such as multi-language support or specialized optimizations. ### Is BodhiApp or sarathi-serve more popular on GitHub? sarathi-serve has more GitHub stars (520 vs 136). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and sarathi-serve open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or sarathi-serve? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [sarathi-serve alternatives](/tools/microsoft-sarathi-serve/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [sarathi-serve markdown twin](/tools/microsoft-sarathi-serve/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-microsoft-sarathi-serve.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or sarathi-serve? BodhiApp: Active. sarathi-serve: 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 sarathi-serve? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [sarathi-serve trust report](/tools/microsoft-sarathi-serve/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/_