--- title: "jan vs APT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/janhq-jan-vs-rnchg-apt" tools: ["janhq-jan", "rnchg-apt"] --- # jan vs APT *GraphCanon updated Jul 11, 2026* ## Verdict Pick jan when jan is primarily TypeScript; APT is C#; pick APT when aPT is primarily C#; jan is TypeScript. [jan](https://jan.ai/) reports 43k GitHub stars, 2.9k forks, and 387 open issues, last pushed Jul 10, 2026. [APT](https://github.com/rnchg/APT) has 771 stars, 84 forks, and 12 open issues, last pushed Dec 13, 2025. Figures are from public GitHub metadata via [jan's repository](https://github.com/janhq/jan) and [APT's repository](https://github.com/rnchg/APT). | | [jan](/tools/janhq-jan.md) | [APT](/tools/rnchg-apt.md) | | --- | --- | --- | | Tagline | open source alternative to ChatGPT that runs offline locally | AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and o | | Stars | 43,499 | 771 | | Forks | 2,896 | 84 | | Open issues | 387 | 12 | | Language | TypeScript | C# | | 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, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jan](/tools/janhq-jan.md) | [APT](/tools/rnchg-apt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 209d | | Open issues (now) | 387 | 12 | | Owner type | Organization | User | | Full report | [trust report](/tools/janhq-jan/trust.md) | [trust report](/tools/rnchg-apt/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; APT is C#. - License: jan is Other, APT is MIT. - Tags unique to jan: gpt, llamacpp, llm, localai. - - If you require an offline-capable AI assistant for environments without internet access. ### Choose APT if… - APT is primarily C#; jan is TypeScript. - License: APT is MIT, jan is Other. - Tags unique to APT: ai, ai-framework, aigc, audio-processing. - Also covers Speech & Audio. ## 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 APT - Last GitHub push was 210 days ago (slowing maintenance, Dec 13, 2025). Validate activity before betting a new project on APT. - 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 APT? jan: open source alternative to ChatGPT that runs offline locally. APT: AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and o. See the comparison table for live GitHub stats and shared categories. ### When should I choose jan over APT? Choose jan over APT when jan is primarily TypeScript; APT is C#; License: jan is Other, APT is MIT; Tags unique to jan: gpt, llamacpp, llm, localai; - If you require an offline-capable AI assistant for environments without internet access. ### When should I choose APT over jan? Choose APT over jan when APT is primarily C#; jan is TypeScript; License: APT is MIT, jan is Other; Tags unique to APT: ai, ai-framework, aigc, audio-processing; Also covers Speech & Audio. ### 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 APT? Last GitHub push was 210 days ago (slowing maintenance, Dec 13, 2025). Validate activity before betting a new project on APT. 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 APT more popular on GitHub? jan has more GitHub stars (43,499 vs 771). Stars measure visibility, not whether either tool fits your constraints. ### Are jan and APT open source? Yes - both are open-source projects on GitHub (jan: Other, APT: MIT). ### Where can I find alternatives to jan or APT? GraphCanon lists graph-backed alternatives at [jan alternatives](/tools/janhq-jan/alternatives) and [APT alternatives](/tools/rnchg-apt/alternatives) ([jan markdown twin](/tools/janhq-jan/alternatives.md), [APT markdown twin](/tools/rnchg-apt/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-rnchg-apt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jan or APT? jan: Very active. APT: Slowing. 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 APT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jan trust report](/tools/janhq-jan/trust); [APT trust report](/tools/rnchg-apt/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/_