Comparison
lanarky vs jan
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.
Markdown twin · lanarky alternatives · jan alternatives
GraphCanon updated 3d
Trust & integrity
| Signal | lanarky | jan |
|---|---|---|
| Maintenance | Dormant (745d since push) As of 4w · github_public_v1 | Very active (1d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- lanarky
- A web framework for building LLM microservices (deprecated)
- jan
- open source alternative to ChatGPT that runs offline locally
Stars
- lanarky
- 992
- jan
- 44k
Forks
- lanarky
- 76
- jan
- 3.0k
Open issues
- lanarky
- 9
- jan
- 453
Language
- lanarky
- Python
- jan
- TypeScript
Adopt for
- lanarky
- 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
- Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.
Persona
- lanarky
- -
- jan
- -
Runtime
- lanarky
- -
- jan
- -
License
- lanarky
- Lanarky is released under the MIT License, allowing free usage, modification, and distribution but with no warranty.
- jan
- Other
Last pushed
- lanarky
- Jul 6, 2024
- jan
- Aug 14, 2026
Categories
- lanarky
- Inference & Serving, LLM Frameworks
- jan
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- lanarky
- Dormant (18%)
- jan
- Very active (96%)
Days since push
- lanarky
- 745d
- jan
- 1d
Open issues (now)
- lanarky
- 9
- jan
- 453
Stars delta
- lanarky
- Unknown
- jan
- +426 (30d)
Open issues delta
- lanarky
- Unknown
- jan
- +69 (30d)
Owner type
- lanarky
- User
- jan
- Organization
Full report
- lanarky
- Trust report
- jan
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ajndkr/lanarky) · observed Jul 21, 2026
- GitHub forks (ajndkr/lanarky) · observed Jul 21, 2026
- Last push (ajndkr/lanarky) · observed Jul 6, 2024
- License file (MIT) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (janhq/jan) · observed Aug 16, 2026
- GitHub forks (janhq/jan) · observed Aug 16, 2026
- Last push (janhq/jan) · observed Aug 14, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lanarky 992 · jan 44k (synced Jul 21, 2026).
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
ChatCompletionmay 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 992). 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 and jan alternatives (lanarky markdown twin, jan 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, 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; jan trust report.