--- title: "jan vs ggrun" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/janhq-jan-vs-raketenkater-ggrun" tools: ["janhq-jan", "raketenkater-ggrun"] --- # jan vs ggrun *GraphCanon updated Jul 15, 2026* ## Verdict Pick jan when jan is primarily TypeScript; ggrun is Go; pick ggrun when ggrun is primarily Go; jan is TypeScript. [jan](https://jan.ai/) reports 43k GitHub stars, 2.9k forks, and 387 open issues, last pushed Jul 10, 2026. [ggrun](https://github.com/raketenkater/ggrun) has 254 stars, 14 forks, and 3 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [jan's repository](https://github.com/janhq/jan) and [ggrun's repository](https://github.com/raketenkater/ggrun). | | [jan](/tools/janhq-jan.md) | [ggrun](/tools/raketenkater-ggrun.md) | | --- | --- | --- | | Tagline | open source alternative to ChatGPT that runs offline locally | Auto-tuned launcher for GGUF models on llama.cpp / ik_llama.cpp, OpenAI-compatible server with multi-GPU tensor-split, MoE expert placement, measured flag tuning (AI Tune), hardware-matched HuggingFac | | Stars | 43,499 | 254 | | Forks | 2,896 | 14 | | Open issues | 387 | 3 | | Language | TypeScript | Go | | Adopt for | Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT. | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jan](/tools/janhq-jan.md) | [ggrun](/tools/raketenkater-ggrun.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 387 | 3 | | Owner type | Organization | User | | Full report | [trust report](/tools/janhq-jan/trust.md) | [trust report](/tools/raketenkater-ggrun/trust.md) | ## Decision facts: jan - **Adopt for:** Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT. ## Choose when ### Choose jan if… - jan is primarily TypeScript; ggrun is Go. - License: jan is Other, ggrun is MIT. - Tags unique to jan: chatgpt, gpt, localai, open-source. - - If you require an offline-capable AI assistant for environments without internet access. ### Choose ggrun if… - ggrun is primarily Go; jan is TypeScript. - License: ggrun is MIT, jan is Other. - Tags unique to ggrun: cuda, gguf, golang, inference-server. ## 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. ## When NOT to use ggrun - 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. ## Common questions ### What is the difference between jan and ggrun? jan: open source alternative to ChatGPT that runs offline locally. ggrun: Auto-tuned launcher for GGUF models on llama.cpp / ik_llama.cpp, OpenAI-compatible server with multi-GPU tensor-split, MoE expert placement, measured flag tuning (AI Tune), hardware-matched HuggingFac. See the comparison table for live GitHub stats and shared categories. ### When should I choose jan over ggrun? Choose jan over ggrun when jan is primarily TypeScript; ggrun is Go; License: jan is Other, ggrun is MIT; Tags unique to jan: chatgpt, gpt, localai, open-source; - If you require an offline-capable AI assistant for environments without internet access. ### When should I choose ggrun over jan? Choose ggrun over jan when ggrun is primarily Go; jan is TypeScript; License: ggrun is MIT, jan is Other; Tags unique to ggrun: cuda, gguf, golang, inference-server. ### 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 ggrun? 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 ggrun more popular on GitHub? jan has more GitHub stars (43,499 vs 254). Stars measure visibility, not whether either tool fits your constraints. ### Are jan and ggrun open source? Yes - both are open-source projects on GitHub (jan: Other, ggrun: MIT). ### Where can I find alternatives to jan or ggrun? GraphCanon lists graph-backed alternatives at [jan alternatives](/tools/janhq-jan/alternatives) and [ggrun alternatives](/tools/raketenkater-ggrun/alternatives) ([jan markdown twin](/tools/janhq-jan/alternatives.md), [ggrun markdown twin](/tools/raketenkater-ggrun/alternatives.md)), 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](/compare/janhq-jan-vs-raketenkater-ggrun.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jan or ggrun? jan: Very active. ggrun: 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 ggrun? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jan trust report](/tools/janhq-jan/trust); [ggrun trust report](/tools/raketenkater-ggrun/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=janhq-jan`](/api/graphcanon/graph?tool=janhq-jan) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_