Home/Compare/guidance vs jan

Comparison

guidance vs jan

Verdict

Pick guidance if guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers, llama.cpp, and OpenAI. It's open-source,轻; pick jan if jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.

Markdown twin · guidance alternatives · jan alternatives

GraphCanon updated today

guidance logo

guidance

guidance-ai/guidance

22kpushed May 21, 2026
vs
jan logo

jan

janhq/jan

43kpushed Jul 10, 2026

Trust & integrity

Signalguidancejan
Maintenance
Steady (50d since push)
As of 1d · github_public_v1
Very active (1d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none

Tagline

guidance
A guidance language for controlling large language models.
jan
open source alternative to ChatGPT that runs offline locally

Stars

guidance
22k
jan
43k

Forks

guidance
1.2k
jan
2.9k

Open issues

guidance
303
jan
387

Language

guidance
Jupyter Notebook
jan
TypeScript

Adopt for

guidance
Guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers, llama.cpp, and OpenAI. It's open-source,轻
jan
Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.

Persona

guidance
-
jan
-

Runtime

guidance
-
jan
-

License

guidance
MIT
jan
Other

Last pushed

guidance
May 21, 2026
jan
Jul 10, 2026

Categories

guidance
Inference & Serving, LLM Frameworks
jan
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

guidance
Steady (60%)
jan
Very active (96%)

Days since push

guidance
50d
jan
1d

Open issues (now)

guidance
303
jan
387

Full report

guidance
Trust report

Choose guidance if…

  • guidance is primarily Jupyter Notebook; jan is TypeScript.
  • License: guidance is MIT, jan is Other.
  • Tags unique to guidance: backend support, control language, language models, pip-installable.
  • When you need a specific language to finely control various LLM backends including Transformers, llama.cpp, and OpenAI

When NOT to use guidance

  • When your project is strictly confined to using only one type of backend which you can manage without a specialized control language
  • If your development environment does not support or prefer Jupyter Notebooks, Guidance may not be the best choice

Choose jan if…

  • jan is primarily TypeScript; guidance is Jupyter Notebook.
  • License: jan is Other, guidance is MIT.
  • Tags unique to jan: chatgpt, gpt, llamacpp, llm.
  • - 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.

Explore

Sources

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

GitHub stars on cards: guidance 22k · jan 43k (synced Jul 11, 2026).

Common questions

What is the difference between guidance and jan?
guidance: A guidance language for controlling large language models.. jan: open source alternative to ChatGPT that runs offline locally. See the comparison table for live GitHub stats and shared categories.
When should I choose guidance over jan?
Choose guidance over jan when guidance is primarily Jupyter Notebook; jan is TypeScript; License: guidance is MIT, jan is Other; Tags unique to guidance: backend support, control language, language models, pip-installable; When you need a specific language to finely control various LLM backends including Transformers, llama.cpp, and OpenAI.
When should I choose jan over guidance?
Choose jan over guidance when jan is primarily TypeScript; guidance is Jupyter Notebook; License: jan is Other, guidance 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 avoid guidance?
When your project is strictly confined to using only one type of backend which you can manage without a specialized control language If your development environment does not support or prefer Jupyter Notebooks, Guidance may not be the best choice
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.
Is guidance or jan more popular on GitHub?
jan has more GitHub stars (43,499 vs 21,656). Stars measure visibility, not whether either tool fits your constraints.
Are guidance and jan open source?
Yes - both are open-source projects on GitHub (guidance: MIT, jan: Other).
Where can I find alternatives to guidance or jan?
GraphCanon lists graph-backed alternatives at guidance alternatives and jan alternatives (guidance markdown twin, jan 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, guidance or jan?
guidance: Steady. jan: 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 guidance and jan?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: guidance trust report; jan trust report.