--- title: "jan vs llm-applications" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/janhq-jan-vs-ray-project-llm-applications" tools: ["janhq-jan", "ray-project-llm-applications"] --- # jan vs llm-applications *GraphCanon updated Jul 11, 2026* ## Verdict Pick jan when jan is primarily TypeScript; llm-applications is Jupyter Notebook; pick llm-applications when llm-applications is primarily Jupyter Notebook; jan is TypeScript. [jan](https://jan.ai/) reports 43k GitHub stars, 2.9k forks, and 387 open issues, last pushed Jul 10, 2026. [llm-applications](https://github.com/ray-project/llm-applications) has 1.9k stars, 255 forks, and 13 open issues, last pushed Aug 2, 2024. Figures are from public GitHub metadata via [jan's repository](https://github.com/janhq/jan) and [llm-applications's repository](https://github.com/ray-project/llm-applications). | | [jan](/tools/janhq-jan.md) | [llm-applications](/tools/ray-project-llm-applications.md) | | --- | --- | --- | | Tagline | open source alternative to ChatGPT that runs offline locally | A comprehensive guide to building RAG-based LLM applications for production. | | Stars | 43,499 | 1,857 | | Forks | 2,896 | 255 | | Open issues | 387 | 13 | | Language | TypeScript | Jupyter Notebook | | 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 | CC-BY-4.0 | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jan](/tools/janhq-jan.md) | [llm-applications](/tools/ray-project-llm-applications.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 708d | | Open issues (now) | 387 | 13 | | Full report | [trust report](/tools/janhq-jan/trust.md) | [trust report](/tools/ray-project-llm-applications/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; llm-applications is Jupyter Notebook. - License: jan is Other, llm-applications is CC-BY-4.0. - Tags unique to jan: chatgpt, gpt, llamacpp, llm. - - If you require an offline-capable AI assistant for environments without internet access. ### Choose llm-applications if… - llm-applications is primarily Jupyter Notebook; jan is TypeScript. - License: llm-applications is CC-BY-4.0, jan is Other. - Tags unique to llm-applications: anyscale, fine-tuning, llama2, llms. ## 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 llm-applications - Last GitHub push was 709 days ago (dormant maintenance, Aug 2, 2024). Validate activity before betting a new project on llm-applications. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between jan and llm-applications? jan: open source alternative to ChatGPT that runs offline locally. llm-applications: A comprehensive guide to building RAG-based LLM applications for production.. See the comparison table for live GitHub stats and shared categories. ### When should I choose jan over llm-applications? Choose jan over llm-applications when jan is primarily TypeScript; llm-applications is Jupyter Notebook; License: jan is Other, llm-applications is CC-BY-4.0; Tags unique to jan: chatgpt, gpt, llamacpp, llm; - If you require an offline-capable AI assistant for environments without internet access. ### When should I choose llm-applications over jan? Choose llm-applications over jan when llm-applications is primarily Jupyter Notebook; jan is TypeScript; License: llm-applications is CC-BY-4.0, jan is Other; Tags unique to llm-applications: anyscale, fine-tuning, llama2, llms. ### 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 llm-applications? Last GitHub push was 709 days ago (dormant maintenance, Aug 2, 2024). Validate activity before betting a new project on llm-applications. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is jan or llm-applications more popular on GitHub? jan has more GitHub stars (43,499 vs 1,857). Stars measure visibility, not whether either tool fits your constraints. ### Are jan and llm-applications open source? Yes - both are open-source projects on GitHub (jan: Other, llm-applications: CC-BY-4.0). ### Where can I find alternatives to jan or llm-applications? GraphCanon lists graph-backed alternatives at [jan alternatives](/tools/janhq-jan/alternatives) and [llm-applications alternatives](/tools/ray-project-llm-applications/alternatives) ([jan markdown twin](/tools/janhq-jan/alternatives.md), [llm-applications markdown twin](/tools/ray-project-llm-applications/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-ray-project-llm-applications.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jan or llm-applications? jan: Very active. llm-applications: 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 jan and llm-applications? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jan trust report](/tools/janhq-jan/trust); [llm-applications trust report](/tools/ray-project-llm-applications/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/_