Home/Compare/jan vs llm-applications

Comparison

jan vs llm-applications

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.

Markdown twin · jan alternatives · llm-applications alternatives

GraphCanon updated today

jan logo

jan

janhq/jan

43kpushed Jul 10, 2026
vs
llm-applications logo

llm-applications

ray-project/llm-applications

1.9kpushed Aug 2, 2024

Trust & integrity

Signaljanllm-applications
Maintenance
Very active (1d since push)
As of today · github_public_v1
Dormant (708d 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
llm-applications
A comprehensive guide to building RAG-based LLM applications for production.

Stars

jan
43k
llm-applications
1.9k

Forks

jan
2.9k
llm-applications
255

Open issues

jan
387
llm-applications
13

Language

jan
TypeScript
llm-applications
Jupyter Notebook

Adopt for

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

Persona

jan
-
llm-applications
-

Runtime

jan
-
llm-applications
-

License

jan
Other
llm-applications
CC-BY-4.0

Last pushed

jan
Jul 10, 2026
llm-applications
Aug 2, 2024

Categories

jan
Inference & Serving, LLM Frameworks
llm-applications
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

jan
Very active (96%)
llm-applications
Dormant (18%)

Days since push

jan
1d
llm-applications
708d

Open issues (now)

jan
387
llm-applications
13

Full report

llm-applications
Trust report

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.

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 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 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.

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 · llm-applications 1.9k (synced Jul 11, 2026).

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 and llm-applications alternatives (jan markdown twin, llm-applications 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 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; llm-applications trust report.