--- title: "jan vs llamafile" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/janhq-jan-vs-mozilla-ai-llamafile" tools: ["janhq-jan", "mozilla-ai-llamafile"] --- # jan vs llamafile *GraphCanon updated Jul 11, 2026* ## Verdict Pick jan when jan is primarily TypeScript; llamafile is C++; pick llamafile when llamafile 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. [llamafile](https://docs.mozilla.ai/llamafile) has 25k stars, 1.6k forks, and 212 open issues, last pushed Jul 2, 2026. Figures are from public GitHub metadata via [jan's repository](https://github.com/janhq/jan) and [llamafile's repository](https://github.com/mozilla-ai/llamafile). | | [jan](/tools/janhq-jan.md) | [llamafile](/tools/mozilla-ai-llamafile.md) | | --- | --- | --- | | Tagline | open source alternative to ChatGPT that runs offline locally | Distribute and run LLMs with a single file. | | Stars | 43,499 | 25,361 | | Forks | 2,896 | 1,586 | | Open issues | 387 | 212 | | 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 | Other | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jan](/tools/janhq-jan.md) | [llamafile](/tools/mozilla-ai-llamafile.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 8d | | Open issues (now) | 387 | 212 | | Full report | [trust report](/tools/janhq-jan/trust.md) | [trust report](/tools/mozilla-ai-llamafile/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; llamafile is C++. - Tags unique to jan: chatgpt, gpt, llamacpp, llm. - - If you require an offline-capable AI assistant for environments without internet access. ### Choose llamafile if… - llamafile is primarily C++; jan is TypeScript. - Tags unique to llamafile: cross-platform, gguf, llama-cpp, local-ai. - Also covers Speech & Audio. ## 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 llamafile - 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 llamafile? jan: open source alternative to ChatGPT that runs offline locally. llamafile: Distribute and run LLMs with a single file.. See the comparison table for live GitHub stats and shared categories. ### When should I choose jan over llamafile? Choose jan over llamafile when jan is primarily TypeScript; llamafile is C++; 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 llamafile over jan? Choose llamafile over jan when llamafile is primarily C++; jan is TypeScript; Tags unique to llamafile: cross-platform, gguf, llama-cpp, local-ai; Also covers Speech & Audio. ### 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 llamafile? 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 llamafile more popular on GitHub? jan has more GitHub stars (43,499 vs 25,361). Stars measure visibility, not whether either tool fits your constraints. ### Are jan and llamafile open source? Yes - both are open-source projects on GitHub (jan: Other, llamafile: Other). ### Where can I find alternatives to jan or llamafile? GraphCanon lists graph-backed alternatives at [jan alternatives](/tools/janhq-jan/alternatives) and [llamafile alternatives](/tools/mozilla-ai-llamafile/alternatives) ([jan markdown twin](/tools/janhq-jan/alternatives.md), [llamafile markdown twin](/tools/mozilla-ai-llamafile/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-mozilla-ai-llamafile.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jan or llamafile? jan: Very active. llamafile: 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 llamafile? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jan trust report](/tools/janhq-jan/trust); [llamafile trust report](/tools/mozilla-ai-llamafile/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/_