Comparison
jan vs hipfire
Verdict
Pick jan when jan is primarily TypeScript; hipfire is Rust; pick hipfire when hipfire is primarily Rust; jan is TypeScript.
Markdown twin · jan alternatives · hipfire alternatives
GraphCanon updated today
Trust & integrity
| Signal | jan | hipfire |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal 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
- hipfire
- RDNA-native LLM inference engine in Rust.
Stars
- jan
- 43k
- hipfire
- 473
Forks
- jan
- 2.9k
- hipfire
- 48
Open issues
- jan
- 387
- hipfire
- 86
Language
- jan
- TypeScript
- hipfire
- Rust
Adopt for
- jan
- Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.
- hipfire
- -
Persona
- jan
- -
- hipfire
- -
Runtime
- jan
- -
- hipfire
- -
License
- jan
- Other
- hipfire
- Other
Last pushed
- jan
- Jul 10, 2026
- hipfire
- Jul 11, 2026
Categories
- jan
- Inference & Serving, LLM Frameworks
- hipfire
- Inference & Serving, LLM Frameworks
Trust and health
Days since push
- jan
- 1d
- hipfire
- 0d
Open issues (now)
- jan
- 387
- hipfire
- 86
Owner type
- jan
- Organization
- hipfire
- User
Full report
- jan
- Trust report
- hipfire
- Trust report
Choose jan if…
- jan is primarily TypeScript; hipfire is Rust.
- 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 hipfire if…
- hipfire is primarily Rust; jan is TypeScript.
- Tags unique to hipfire: amd-gpu, gpu-computing, hip, llm-inference.
- More recently updated (last pushed Jul 11, 2026).
When NOT to use hipfire
- 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 (Kaden-Schutt/hipfire) · observed Jul 11, 2026
- GitHub forks (Kaden-Schutt/hipfire) · observed Jul 11, 2026
- Last push (Kaden-Schutt/hipfire) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: jan 43k · hipfire 473 (synced Jul 11, 2026).
Common questions
- What is the difference between jan and hipfire?
- jan: open source alternative to ChatGPT that runs offline locally. hipfire: RDNA-native LLM inference engine in Rust.. See the comparison table for live GitHub stats and shared categories.
- When should I choose jan over hipfire?
- Choose jan over hipfire when jan is primarily TypeScript; hipfire is Rust; 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 hipfire over jan?
- Choose hipfire over jan when hipfire is primarily Rust; jan is TypeScript; Tags unique to hipfire: amd-gpu, gpu-computing, hip, llm-inference; More recently updated (last pushed Jul 11, 2026).
- 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 hipfire?
- 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 hipfire more popular on GitHub?
- jan has more GitHub stars (43,499 vs 473). Stars measure visibility, not whether either tool fits your constraints.
- Are jan and hipfire open source?
- Yes - both are open-source projects on GitHub (jan: Other, hipfire: Other).
- Where can I find alternatives to jan or hipfire?
- GraphCanon lists graph-backed alternatives at jan alternatives and hipfire alternatives (jan markdown twin, hipfire 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 hipfire?
- jan: Very active. hipfire: 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 jan and hipfire?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jan trust report; hipfire trust report.