--- title: "jan vs tiny-vllm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/janhq-jan-vs-jmaczan-tiny-vllm" tools: ["janhq-jan", "jmaczan-tiny-vllm"] --- # jan vs tiny-vllm *GraphCanon updated Jul 11, 2026* ## Verdict Pick jan when jan is primarily TypeScript; tiny-vllm is C++; pick tiny-vllm when tiny-vllm is primarily C++; jan is TypeScript. [jan](https://jan.ai/) reports 43k GitHub stars, 2.9k forks, and 387 open issues, last pushed Jul 10, 2026. [tiny-vllm](https://github.com/jmaczan/tiny-vllm) has 909 stars, 61 forks, and 1 open issues, last pushed Jul 2, 2026. Figures are from public GitHub metadata via [jan's repository](https://github.com/janhq/jan) and [tiny-vllm's repository](https://github.com/jmaczan/tiny-vllm). | | [jan](/tools/janhq-jan.md) | [tiny-vllm](/tools/jmaczan-tiny-vllm.md) | | --- | --- | --- | | Tagline | open source alternative to ChatGPT that runs offline locally | Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM | | Stars | 43,499 | 909 | | Forks | 2,896 | 61 | | Open issues | 387 | 1 | | Language | TypeScript | C++ | | Adopt for | Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT. | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | LLM Frameworks, Inference & Serving | LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jan](/tools/janhq-jan.md) | [tiny-vllm](/tools/jmaczan-tiny-vllm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 8d | | Open issues (now) | 387 | 1 | | Owner type | Organization | User | | Full report | [trust report](/tools/janhq-jan/trust.md) | [trust report](/tools/jmaczan-tiny-vllm/trust.md) | ## Decision facts: jan - **Adopt for:** Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT. ## Choose when ### Choose jan if… - jan is primarily TypeScript; tiny-vllm is C++. - License: jan is Other, tiny-vllm is Apache-2.0. - Tags unique to jan: tauri, self-hosted, llm, llamacpp. - - If you require an offline-capable AI assistant for environments without internet access. ### Choose tiny-vllm if… - tiny-vllm is primarily C++; jan is TypeScript. - License: tiny-vllm is Apache-2.0, jan is Other. - Tags unique to tiny-vllm: ai, cpp, cuda, course. ## When NOT to use jan - - If you require real-time updates to the AI model, since Jan uses static local models which may not get frequent updates. - - When a vast knowledge base or continuous learning capabilities are essential, as Jan's offline nature constrains its ability to stay current with new information. ## When NOT to use tiny-vllm - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between jan and tiny-vllm? jan: open source alternative to ChatGPT that runs offline locally. tiny-vllm: Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM. See the comparison table for live GitHub stats and shared categories. ### When should I choose jan over tiny-vllm? Choose jan over tiny-vllm when jan is primarily TypeScript; tiny-vllm is C++; License: jan is Other, tiny-vllm is Apache-2.0; Tags unique to jan: tauri, self-hosted, llm, llamacpp; - If you require an offline-capable AI assistant for environments without internet access. ### When should I choose tiny-vllm over jan? Choose tiny-vllm over jan when tiny-vllm is primarily C++; jan is TypeScript; License: tiny-vllm is Apache-2.0, jan is Other; Tags unique to tiny-vllm: ai, cpp, cuda, course. ### When should I avoid jan? - If you require real-time updates to the AI model, since Jan uses static local models which may not get frequent updates. - When a vast knowledge base or continuous learning capabilities are essential, as Jan's offline nature constrains its ability to stay current with new information. ### When should I avoid tiny-vllm? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is jan or tiny-vllm more popular on GitHub? jan has more GitHub stars (43,499 vs 909). Stars measure visibility, not whether either tool fits your constraints. ### Are jan and tiny-vllm open source? Yes - both are open-source projects on GitHub (jan: Other, tiny-vllm: Apache-2.0). ### Where can I find alternatives to jan or tiny-vllm? GraphCanon lists graph-backed alternatives at [jan alternatives](/tools/janhq-jan/alternatives) and [tiny-vllm alternatives](/tools/jmaczan-tiny-vllm/alternatives) ([jan markdown twin](/tools/janhq-jan/alternatives.md), [tiny-vllm markdown twin](/tools/jmaczan-tiny-vllm/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/janhq-jan-vs-jmaczan-tiny-vllm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jan or tiny-vllm? jan: Very active. tiny-vllm: 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 jan and tiny-vllm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jan trust report](/tools/janhq-jan/trust); [tiny-vllm trust report](/tools/jmaczan-tiny-vllm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=janhq-jan`](/api/graphcanon/graph?tool=janhq-jan) - 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/_