--- title: "jan vs scaling-book" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/janhq-jan-vs-jax-ml-scaling-book" tools: ["janhq-jan", "jax-ml-scaling-book"] --- # jan vs scaling-book *GraphCanon updated Jul 11, 2026* ## Verdict Pick jan when jan is primarily TypeScript; scaling-book is HTML; pick scaling-book when scaling-book is primarily HTML; jan is TypeScript. [jan](https://jan.ai/) reports 43k GitHub stars, 2.9k forks, and 387 open issues, last pushed Jul 10, 2026. [scaling-book](https://jax-ml.github.io/scaling-book/) has 1.3k stars, 179 forks, and 8 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [jan's repository](https://github.com/janhq/jan) and [scaling-book's repository](https://github.com/jax-ml/scaling-book). | | [jan](/tools/janhq-jan.md) | [scaling-book](/tools/jax-ml-scaling-book.md) | | --- | --- | --- | | Tagline | open source alternative to ChatGPT that runs offline locally | Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs | | Stars | 43,499 | 1,258 | | Forks | 2,896 | 179 | | Open issues | 387 | 8 | | Language | TypeScript | HTML | | 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 | MIT | | 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) | [scaling-book](/tools/jax-ml-scaling-book.md) | | --- | --- | --- | | Days since push | 1d | 2d | | Open issues (now) | 387 | 8 | | Full report | [trust report](/tools/janhq-jan/trust.md) | [trust report](/tools/jax-ml-scaling-book/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; scaling-book is HTML. - License: jan is Other, scaling-book is MIT. - Tags unique to jan: chatgpt, gpt, llamacpp, llm. - - If you require an offline-capable AI assistant for environments without internet access. ### Choose scaling-book if… - scaling-book is primarily HTML; jan is TypeScript. - License: scaling-book is MIT, jan is Other. - Tags unique to scaling-book: html, jax, llm-inference, 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 scaling-book - 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 scaling-book? jan: open source alternative to ChatGPT that runs offline locally. scaling-book: Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs. See the comparison table for live GitHub stats and shared categories. ### When should I choose jan over scaling-book? Choose jan over scaling-book when jan is primarily TypeScript; scaling-book is HTML; License: jan is Other, scaling-book is MIT; 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 scaling-book over jan? Choose scaling-book over jan when scaling-book is primarily HTML; jan is TypeScript; License: scaling-book is MIT, jan is Other; Tags unique to scaling-book: html, jax, llm-inference, 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 scaling-book? 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 scaling-book more popular on GitHub? jan has more GitHub stars (43,499 vs 1,258). Stars measure visibility, not whether either tool fits your constraints. ### Are jan and scaling-book open source? Yes - both are open-source projects on GitHub (jan: Other, scaling-book: MIT). ### Where can I find alternatives to jan or scaling-book? GraphCanon lists graph-backed alternatives at [jan alternatives](/tools/janhq-jan/alternatives) and [scaling-book alternatives](/tools/jax-ml-scaling-book/alternatives) ([jan markdown twin](/tools/janhq-jan/alternatives.md), [scaling-book markdown twin](/tools/jax-ml-scaling-book/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-jax-ml-scaling-book.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jan or scaling-book? jan: Very active. scaling-book: Very 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 scaling-book? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jan trust report](/tools/janhq-jan/trust); [scaling-book trust report](/tools/jax-ml-scaling-book/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/_