Home/Compare/jan vs scaling-book

Comparison

jan vs scaling-book

Verdict

Pick jan when jan is primarily TypeScript; scaling-book is HTML; pick scaling-book when scaling-book is primarily HTML; jan is TypeScript.

Markdown twin · jan alternatives · scaling-book alternatives

GraphCanon updated today

jan logo

jan

janhq/jan

43kpushed Jul 10, 2026
vs
scaling-book logo

scaling-book

jax-ml/scaling-book

1.3kpushed Jul 8, 2026

Trust & integrity

Signaljanscaling-book
Maintenance
Very active (1d since push)
As of today · github_public_v1
Very active (2d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

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

Stars

jan
43k
scaling-book
1.3k

Forks

jan
2.9k
scaling-book
179

Open issues

jan
387
scaling-book
8

Language

jan
TypeScript
scaling-book
HTML

Adopt for

jan
Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.
scaling-book
-

Persona

jan
-
scaling-book
-

Runtime

jan
-
scaling-book
-

License

jan
Other
scaling-book
MIT

Last pushed

jan
Jul 10, 2026
scaling-book
Jul 8, 2026

Categories

jan
LLM Frameworks, Inference & Serving
scaling-book
LLM Frameworks, Inference & Serving

Trust and health

Days since push

jan
1d
scaling-book
2d

Open issues (now)

jan
387
scaling-book
8

Full report

scaling-book
Trust report

Choose jan if…

  • jan is primarily TypeScript; scaling-book is HTML.
  • License: jan is Other, scaling-book is MIT.
  • Tags unique to jan: tauri, self-hosted, llm, llamacpp.
  • - If you require an offline-capable AI assistant for environments without internet access.

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.

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: llms, html, roofline, llm-inference.

When NOT to use scaling-book

  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: jan 43k · scaling-book 1.3k (synced Jul 11, 2026).

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: tauri, self-hosted, llm, llamacpp; - 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: llms, html, roofline, llm-inference.
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?
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 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 and scaling-book alternatives (jan markdown twin, scaling-book markdown twin), 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 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; scaling-book trust report.