Comparison
distributed-llama vs jan
Verdict
Pick distributed-llama when distributed-llama is primarily C++; jan is TypeScript; pick jan when jan is primarily TypeScript; distributed-llama is C++.
Markdown twin · distributed-llama alternatives · jan alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | distributed-llama | jan |
|---|---|---|
| Maintenance | Very active (5d since push) As of today · github_public_v1 | Very active (1d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of 1d · none |
Tagline
- distributed-llama
- Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
- jan
- open source alternative to ChatGPT that runs offline locally
Stars
- distributed-llama
- 3.0k
- jan
- 43k
Forks
- distributed-llama
- 238
- jan
- 2.9k
Open issues
- distributed-llama
- 48
- jan
- 387
Language
- distributed-llama
- C++
- jan
- TypeScript
Adopt for
- distributed-llama
- -
- jan
- Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.
Persona
- distributed-llama
- -
- jan
- -
Runtime
- distributed-llama
- -
- jan
- -
License
- distributed-llama
- MIT
- jan
- Other
Last pushed
- distributed-llama
- Jul 5, 2026
- jan
- Jul 10, 2026
Categories
- distributed-llama
- Inference & Serving, LLM Frameworks
- jan
- Inference & Serving, LLM Frameworks
Trust and health
Days since push
- distributed-llama
- 5d
- jan
- 1d
Open issues (now)
- distributed-llama
- 48
- jan
- 387
Owner type
- distributed-llama
- User
- jan
- Organization
Full report
- distributed-llama
- Trust report
- jan
- Trust report
Choose distributed-llama if…
- distributed-llama is primarily C++; jan is TypeScript.
- License: distributed-llama is MIT, jan is Other.
- Tags unique to distributed-llama: distributed-computing, distributed-llm, llama2, llama3.
When NOT to use distributed-llama
- 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.
Choose jan if…
- jan is primarily TypeScript; distributed-llama is C++.
- License: jan is Other, distributed-llama is MIT.
- Tags unique to jan: chatgpt, gpt, llamacpp, localai.
- - 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 (b4rtaz/distributed-llama) · observed Jul 11, 2026
- GitHub forks (b4rtaz/distributed-llama) · observed Jul 11, 2026
- Last push (b4rtaz/distributed-llama) · observed Jul 5, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: distributed-llama 3.0k · jan 43k (synced Jul 11, 2026).
Common questions
- What is the difference between distributed-llama and jan?
- distributed-llama: Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.. 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 distributed-llama over jan?
- Choose distributed-llama over jan when distributed-llama is primarily C++; jan is TypeScript; License: distributed-llama is MIT, jan is Other; Tags unique to distributed-llama: distributed-computing, distributed-llm, llama2, llama3.
- When should I choose jan over distributed-llama?
- Choose jan over distributed-llama when jan is primarily TypeScript; distributed-llama is C++; License: jan is Other, distributed-llama is MIT; Tags unique to jan: chatgpt, gpt, llamacpp, localai; - If you require an offline-capable AI assistant for environments without internet access.
- When should I avoid distributed-llama?
- 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.
- 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 distributed-llama or jan more popular on GitHub?
- jan has more GitHub stars (43,499 vs 2,981). Stars measure visibility, not whether either tool fits your constraints.
- Are distributed-llama and jan open source?
- Yes - both are open-source projects on GitHub (distributed-llama: MIT, jan: Other).
- Where can I find alternatives to distributed-llama or jan?
- GraphCanon lists graph-backed alternatives at distributed-llama alternatives and jan alternatives (distributed-llama 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, distributed-llama or jan?
- distributed-llama: Very active. 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 distributed-llama and jan?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: distributed-llama trust report; jan trust report.