Comparison
jan vs llamafile
Verdict
Pick jan when jan is primarily TypeScript; llamafile is C++; pick llamafile when llamafile is primarily C++; jan is TypeScript.
Markdown twin · jan alternatives · llamafile alternatives
GraphCanon updated today
Trust & integrity
| Signal | jan | llamafile |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1d · github_public_v1 | Active (8d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- jan
- open source alternative to ChatGPT that runs offline locally
- llamafile
- Distribute and run LLMs with a single file.
Stars
- jan
- 43k
- llamafile
- 25k
Forks
- jan
- 2.9k
- llamafile
- 1.6k
Open issues
- jan
- 387
- llamafile
- 212
Language
- jan
- TypeScript
- llamafile
- C++
Adopt for
- jan
- Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.
- llamafile
- -
Persona
- jan
- -
- llamafile
- -
Runtime
- jan
- -
- llamafile
- -
License
- jan
- Other
- llamafile
- Other
Last pushed
- jan
- Jul 10, 2026
- llamafile
- Jul 2, 2026
Categories
- jan
- Inference & Serving, LLM Frameworks
- llamafile
- Inference & Serving, LLM Frameworks, Speech & Audio
Trust and health
Maintenance
- jan
- Very active (96%)
- llamafile
- Active (82%)
Days since push
- jan
- 1d
- llamafile
- 8d
Open issues (now)
- jan
- 387
- llamafile
- 212
Full report
- jan
- Trust report
- llamafile
- Trust report
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.
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 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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (janhq/jan) · observed Jul 11, 2026
- GitHub forks (janhq/jan) · observed Jul 11, 2026
- Last push (janhq/jan) · observed Jul 10, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mozilla-ai/llamafile) · observed Jul 11, 2026
- GitHub forks (mozilla-ai/llamafile) · observed Jul 11, 2026
- Last push (mozilla-ai/llamafile) · observed Jul 2, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: jan 43k · llamafile 25k (synced Jul 11, 2026).
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 and llamafile alternatives (jan markdown twin, llamafile 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 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; llamafile trust report.