Comparison
jan vs ray-llm
Verdict
Pick jan when tags unique to jan: chatgpt, gpt, llamacpp, localai; pick ray-llm when tags unique to ray-llm: llm-serving, ray.
Markdown twin · jan alternatives · ray-llm alternatives
GraphCanon updated today
Trust & integrity
| Signal | jan | ray-llm |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1d · github_public_v1 | Archived (485d 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
- ray-llm
- RayLLM - LLMs on Ray (Archived). Read README for more info.
Stars
- jan
- 43k
- ray-llm
- 1.3k
Forks
- jan
- 2.9k
- ray-llm
- 90
Open issues
- jan
- 387
- ray-llm
- 0
Language
- jan
- TypeScript
- ray-llm
- -
Adopt for
- jan
- Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.
- ray-llm
- -
Persona
- jan
- -
- ray-llm
- -
Runtime
- jan
- -
- ray-llm
- -
License
- jan
- Other
- ray-llm
- -
Last pushed
- jan
- Jul 10, 2026
- ray-llm
- Mar 13, 2025
Categories
- jan
- Inference & Serving, LLM Frameworks
- ray-llm
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- jan
- Very active (96%)
- ray-llm
- Archived (8%)
Days since push
- jan
- 1d
- ray-llm
- 485d
Archived on GitHub
- jan
- No
- ray-llm
- Yes
Open issues (now)
- jan
- 387
- ray-llm
- 0
Full report
- jan
- Trust report
- ray-llm
- Trust report
Choose jan if…
- Tags unique to jan: chatgpt, gpt, llamacpp, localai.
- - If you require an offline-capable AI assistant for environments without internet access.
- More GitHub stars (43k vs 1.3k) - visibility, not fit.
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 ray-llm if…
- Tags unique to ray-llm: llm-serving, ray.
- Leaner open-issue backlog (0).
When NOT to use ray-llm
- ray-llm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- 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 (ray-project/ray-llm) · observed Jul 11, 2026
- GitHub forks (ray-project/ray-llm) · observed Jul 11, 2026
- Last push (ray-project/ray-llm) · observed Mar 13, 2025
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: jan 43k · ray-llm 1.3k (synced Jul 11, 2026).
Common questions
- What is the difference between jan and ray-llm?
- jan: open source alternative to ChatGPT that runs offline locally. ray-llm: RayLLM - LLMs on Ray (Archived). Read README for more info.. See the comparison table for live GitHub stats and shared categories.
- When should I choose jan over ray-llm?
- Choose jan over ray-llm when Tags unique to jan: chatgpt, gpt, llamacpp, localai; - If you require an offline-capable AI assistant for environments without internet access; More GitHub stars (43k vs 1.3k) - visibility, not fit.
- When should I choose ray-llm over jan?
- Choose ray-llm over jan when Tags unique to ray-llm: llm-serving, ray; Leaner open-issue backlog (0).
- 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 ray-llm?
- ray-llm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. 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 ray-llm more popular on GitHub?
- jan has more GitHub stars (43,499 vs 1,263). Stars measure visibility, not whether either tool fits your constraints.
- Are jan and ray-llm open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to jan or ray-llm?
- GraphCanon lists graph-backed alternatives at jan alternatives and ray-llm alternatives (jan markdown twin, ray-llm 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 ray-llm?
- jan: Very active. ray-llm: Archived. 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 ray-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jan trust report; ray-llm trust report.