--- title: "lanarky vs jan" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ajndkr-lanarky-vs-janhq-jan" tools: ["ajndkr-lanarky", "janhq-jan"] --- # lanarky vs jan *GraphCanon updated Aug 21, 2026* ## Verdict Pick lanarky if lanarky, a deprecated Python-based framework for building LLM microservices with FastAPI, offers streamlined development but comes with caveats related to its deprecated status; pick jan if jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT. [lanarky](https://lanarky.ajndkr.com/) reports 990 GitHub stars, 76 forks, and 10 open issues, last pushed Jul 6, 2024. [jan](https://jan.ai/) has 44k stars, 3.0k forks, and 453 open issues, last pushed Aug 14, 2026. Figures are from public GitHub metadata via [lanarky's repository](https://github.com/ajndkr/lanarky) and [jan's repository](https://github.com/janhq/jan). | | [lanarky](/tools/ajndkr-lanarky.md) | [jan](/tools/janhq-jan.md) | | --- | --- | --- | | Tagline | A web framework for building LLM microservices (deprecated) | open source alternative to ChatGPT that runs offline locally | | Stars | 990 | 44,020 | | Forks | 76 | 2,971 | | Open issues | 10 | 453 | | Language | Python | TypeScript | | Adopt for | Lanarky, a deprecated Python-based framework for building LLM microservices with FastAPI, offers streamlined development but comes with caveats related to its deprecated status. | Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT. | | Persona | - | - | | Runtime | - | - | | License | Lanarky is released under the MIT License, allowing free usage, modification, and distribution but with no warranty. | Other | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lanarky](/tools/ajndkr-lanarky.md) | [jan](/tools/janhq-jan.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 775d | 1d | | Open issues (now) | 10 | 453 | | Stars delta | -2 (30d) | +426 (30d) | | Open issues delta | +1 (30d) | +69 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/ajndkr-lanarky/trust.md) | [trust report](/tools/janhq-jan/trust.md) | ## Decision facts: lanarky - **Pricing:** freemium - The library itself is free to use due to its open-source licensing. However, any associated services like OpenAI's `ChatCompletion` may incur costs depending on the service provider’s pricing. - **Requirements:** Min 1 GB RAM; Ensure you have Python and Pip installed to utilize Lanarky.; No Docker installation is required; it works with standard Python environments. - **Adopt for:** Lanarky, a deprecated Python-based framework for building LLM microservices with FastAPI, offers streamlined development but comes with caveats related to its deprecated status. - **License detail:** Lanarky is released under the MIT License, allowing free usage, modification, and distribution but with no warranty. ## 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 lanarky if… - lanarky is primarily Python; jan is TypeScript. - License: lanarky is MIT, jan is Other. - Pricing: The library itself is free to use due to its open-source licensing. However, any associated services like OpenAI's `ChatCompletion` may incur costs depending on the service provider’s pricing.. - Requirements: Min 1 GB RAM; Ensure you have Python and Pip installed to utilize Lanarky.; No Docker installation is required; it works with standard Python environments.. - Tags unique to lanarky: fastapi, llmops, microservices, python3. - - Use if your project requires specific historical compatibility or knowledge of how Lanarky operated in the past. ### Choose jan if… - jan is primarily TypeScript; lanarky is Python. - License: jan is Other, lanarky is MIT. - 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 lanarky - - Avoid new deployments that rely on active maintenance and updates; opt for actively maintained alternatives like FastAPI directly without Lanarky's now-deprecated layer. - - Do not use if your application needs modern security patches or features, as the deprecated status signifies no further development or support. ## 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. ## Common questions ### What is the difference between lanarky and jan? lanarky: A web framework for building LLM microservices (deprecated). 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 lanarky over jan? Choose lanarky over jan when lanarky is primarily Python; jan is TypeScript; License: lanarky is MIT, jan is Other; Pricing: The library itself is free to use due to its open-source licensing. However, any associated services like OpenAI's `ChatCompletion` may incur costs depending on the service provider’s pricing.; Requirements: Min 1 GB RAM; Ensure you have Python and Pip installed to utilize Lanarky.; No Docker installation is required; it works with standard Python environments.; Tags unique to lanarky: fastapi, llmops, microservices, python3; - Use if your project requires specific historical compatibility or knowledge of how Lanarky operated in the past. ### When should I choose jan over lanarky? Choose jan over lanarky when jan is primarily TypeScript; lanarky is Python; License: jan is Other, lanarky is MIT; Tags unique to jan: chatgpt, gpt, llamacpp, llm; - If you require an offline-capable AI assistant for environments without internet access. ### When should I avoid lanarky? - Avoid new deployments that rely on active maintenance and updates; opt for actively maintained alternatives like FastAPI directly without Lanarky's now-deprecated layer. - Do not use if your application needs modern security patches or features, as the deprecated status signifies no further development or support. ### 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 lanarky or jan more popular on GitHub? jan has more GitHub stars (44,020 vs 990). Stars measure visibility, not whether either tool fits your constraints. ### Are lanarky and jan open source? Yes - both are open-source projects on GitHub (lanarky: MIT, jan: Other). ### Where can I find alternatives to lanarky or jan? GraphCanon lists graph-backed alternatives at [lanarky alternatives](/tools/ajndkr-lanarky/alternatives) and [jan alternatives](/tools/janhq-jan/alternatives) ([lanarky markdown twin](/tools/ajndkr-lanarky/alternatives.md), [jan markdown twin](/tools/janhq-jan/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/ajndkr-lanarky-vs-janhq-jan.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lanarky or jan? lanarky: Dormant. 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 lanarky and jan? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lanarky trust report](/tools/ajndkr-lanarky/trust); [jan trust report](/tools/janhq-jan/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ajndkr-lanarky`](/api/graphcanon/graph?tool=ajndkr-lanarky) - 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/_