Comparison
jan vs TurboLLM
Verdict
Pick jan when tags unique to jan: chatgpt, gpt, llamacpp, llm; pick TurboLLM when tags unique to TurboLLM: ai, anthropic-api, claude code, gguf.
Markdown twin · jan alternatives · TurboLLM alternatives
GraphCanon updated today
Trust & integrity
| Signal | jan | TurboLLM |
|---|---|---|
| Maintenance | Very active (1d since push) As of 4d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- jan
- open source alternative to ChatGPT that runs offline locally
- TurboLLM
- Run any local LLM engine, auto-tuned to your GPU, polished web UI + OpenAI/Anthropic-compatible API. Point Claude Code at your own machine in one command. No Electron, no Python, offline-first.
Stars
- jan
- 43k
- TurboLLM
- 171
Forks
- jan
- 2.9k
- TurboLLM
- 27
Open issues
- jan
- 387
- TurboLLM
- 2
Language
- jan
- TypeScript
- TurboLLM
- TypeScript
Adopt for
- jan
- Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.
- TurboLLM
- -
Persona
- jan
- -
- TurboLLM
- -
Runtime
- jan
- -
- TurboLLM
- -
License
- jan
- Other
- TurboLLM
- -
Last pushed
- jan
- Jul 10, 2026
- TurboLLM
- Jul 15, 2026
Categories
- jan
- Inference & Serving, LLM Frameworks
- TurboLLM
- Inference & Serving, LLM Frameworks
Trust and health
Days since push
- jan
- 1d
- TurboLLM
- 0d
Open issues (now)
- jan
- 387
- TurboLLM
- 2
Owner type
- jan
- Organization
- TurboLLM
- User
Full report
- jan
- Trust report
- TurboLLM
- Trust report
Choose jan if…
- Tags unique to jan: chatgpt, gpt, llamacpp, llm.
- - If you require an offline-capable AI assistant for environments without internet access.
- More GitHub stars (43k vs 171) - 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 TurboLLM if…
- Tags unique to TurboLLM: ai, anthropic-api, claude code, gguf.
- More recently updated (last pushed Jul 15, 2026).
When NOT to use TurboLLM
- 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 (mohitsoni48/TurboLLM) · observed Jul 15, 2026
- GitHub forks (mohitsoni48/TurboLLM) · observed Jul 15, 2026
- Last push (mohitsoni48/TurboLLM) · observed Jul 15, 2026
- License file (unknown) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: jan 43k · TurboLLM 171 (synced Jul 11, 2026).
Common questions
- What is the difference between jan and TurboLLM?
- jan: open source alternative to ChatGPT that runs offline locally. TurboLLM: Run any local LLM engine, auto-tuned to your GPU, polished web UI + OpenAI/Anthropic-compatible API. Point Claude Code at your own machine in one command. No Electron, no Python, offline-first.. See the comparison table for live GitHub stats and shared categories.
- When should I choose jan over TurboLLM?
- Choose jan over TurboLLM when Tags unique to jan: chatgpt, gpt, llamacpp, llm; - If you require an offline-capable AI assistant for environments without internet access; More GitHub stars (43k vs 171) - visibility, not fit.
- When should I choose TurboLLM over jan?
- Choose TurboLLM over jan when Tags unique to TurboLLM: ai, anthropic-api, claude code, gguf; More recently updated (last pushed Jul 15, 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 TurboLLM?
- 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 TurboLLM more popular on GitHub?
- jan has more GitHub stars (43,499 vs 171). Stars measure visibility, not whether either tool fits your constraints.
- Are jan and TurboLLM open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to jan or TurboLLM?
- GraphCanon lists graph-backed alternatives at jan alternatives and TurboLLM alternatives (jan markdown twin, TurboLLM 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 TurboLLM?
- jan: Very active. TurboLLM: 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 TurboLLM?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jan trust report; TurboLLM trust report.