--- title: "lanarky vs FastChat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ajndkr-lanarky-vs-lm-sys-fastchat" tools: ["ajndkr-lanarky", "lm-sys-fastchat"] --- # lanarky vs FastChat *GraphCanon updated Sep 20, 2026* ## Verdict Pick lanarky if lanarky is a deprecated Python library for building LLM microservices, built on FastAPI; pick FastChat if fastChat is an open-source platform for training, serving, and evaluating large language models, including Vicuna, and supports Chatbot Arena, a platform for LLM evaluations with human feedback. [lanarky](https://lanarky.ajndkr.com/) reports 990 GitHub stars, 76 forks, and 10 open issues, last pushed Jul 6, 2024. [FastChat](https://github.com/lm-sys/FastChat) has 40k stars, 4.8k forks, and 1.0k open issues, last pushed May 1, 2026. Figures are from public GitHub metadata via [lanarky's repository](https://github.com/ajndkr/lanarky) and [FastChat's repository](https://github.com/lm-sys/FastChat). | | [lanarky](/tools/ajndkr-lanarky.md) | [FastChat](/tools/lm-sys-fastchat.md) | | --- | --- | --- | | Tagline | A deprecated web framework for building LLM microservices | An open platform for training, serving, and evaluating large language models | | Stars | 990 | 39,536 | | Forks | 76 | 4,774 | | Open issues | 10 | 1,043 | | Language | Python | Python | | Adopt for | Lanarky is a deprecated Python library for building LLM microservices, built on FastAPI. | FastChat is an open-source platform for training, serving, and evaluating large language models, including Vicuna, and supports Chatbot Arena, a platform for LLM evaluations with human feedback. | | Persona | - | - | | Runtime | - | - | | License | Lanarky is distributed under the MIT License, allowing for broad usage and modification. | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lanarky](/tools/ajndkr-lanarky.md) | [FastChat](/tools/lm-sys-fastchat.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Slowing (36%) | | Days since push | 804d | 140d | | Archived on GitHub | Yes | No | | Open issues (now) | 10 | 1.0k | | Stars delta | -2 (30d) | +19 (30d) | | Open issues delta | +1 (30d) | +5 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/ajndkr-lanarky/trust.md) | [trust report](/tools/lm-sys-fastchat/trust.md) | ## Shared compatibility - **Python**: [lanarky](/tools/ajndkr-lanarky.md) - Python runtime; [FastChat](/tools/lm-sys-fastchat.md) - Python runtime ## Decision facts: lanarky - **Pricing:** freemium - The library is free to use, but as it is deprecated, there is no paid support or updates available. - **Requirements:** Min 1 GB RAM; Lanarky requires Python and can be installed via pip. - **Adopt for:** Lanarky is a deprecated Python library for building LLM microservices, built on FastAPI. - **License detail:** Lanarky is distributed under the MIT License, allowing for broad usage and modification. ## Decision facts: FastChat - **Adopt for:** FastChat is an open-source platform for training, serving, and evaluating large language models, including Vicuna, and supports Chatbot Arena, a platform for LLM evaluations with human feedback. ## Choose when ### Choose lanarky if… - License: lanarky is MIT, FastChat is Apache-2.0. - Pricing: The library is free to use, but as it is deprecated, there is no paid support or updates available.. - Requirements: Min 1 GB RAM; Lanarky requires Python and can be installed via pip.. - Tags unique to lanarky: deprecated-repo, fastapi, llmops, microservices. - Use Lanarky if you are working on legacy projects that already depend on it and need to maintain compatibility. ### Choose FastChat if… - License: FastChat is Apache-2.0, lanarky is MIT. - Tags unique to FastChat: chatbot arena, llm-evaluation, multi-model serving, openai-compatible apis. - Also covers Evaluation & Observability, Model Training. - When you need a platform that supports both training and evaluation of large language models, such as Vicuna, and you want to leverage human feedback for model evaluation. ## When NOT to use lanarky - Avoid Lanarky for new projects due to its deprecated status, which implies lack of ongoing support and updates. - Do not use if you require a framework that is actively maintained and updated to support the latest LLM technologies. ## When NOT to use FastChat - If you are looking for a platform that focuses solely on model training without serving or evaluation capabilities, FastChat offers a comprehensive suite that might be more than you need. - If your project does not require human feedback for model evaluation, FastChat's integration with Chatbot Arena might be an unnecessary feature. - If you are working with proprietary or closed-source models, FastChat's open-source nature and reliance on open-source models like Vicuna might not align with your project requirements. ## Common questions ### What is the difference between lanarky and FastChat? lanarky: A deprecated web framework for building LLM microservices. FastChat: An open platform for training, serving, and evaluating large language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose lanarky over FastChat? Choose lanarky over FastChat when License: lanarky is MIT, FastChat is Apache-2.0; Pricing: The library is free to use, but as it is deprecated, there is no paid support or updates available.; Requirements: Min 1 GB RAM; Lanarky requires Python and can be installed via pip.; Tags unique to lanarky: deprecated-repo, fastapi, llmops, microservices; Use Lanarky if you are working on legacy projects that already depend on it and need to maintain compatibility. ### When should I choose FastChat over lanarky? Choose FastChat over lanarky when License: FastChat is Apache-2.0, lanarky is MIT; Tags unique to FastChat: chatbot arena, llm-evaluation, multi-model serving, openai-compatible apis; Also covers Evaluation & Observability, Model Training; When you need a platform that supports both training and evaluation of large language models, such as Vicuna, and you want to leverage human feedback for model evaluation. ### When should I avoid lanarky? Avoid Lanarky for new projects due to its deprecated status, which implies lack of ongoing support and updates. Do not use if you require a framework that is actively maintained and updated to support the latest LLM technologies. ### When should I avoid FastChat? If you are looking for a platform that focuses solely on model training without serving or evaluation capabilities, FastChat offers a comprehensive suite that might be more than you need. If your project does not require human feedback for model evaluation, FastChat's integration with Chatbot Arena might be an unnecessary feature. If you are working with proprietary or closed-source models, FastChat's open-source nature and reliance on open-source models like Vicuna might not align with your project requirements. ### Is lanarky or FastChat more popular on GitHub? FastChat has more GitHub stars (39,536 vs 990). Stars measure visibility, not whether either tool fits your constraints. ### Are lanarky and FastChat open source? Yes - both are open-source projects on GitHub (lanarky: MIT, FastChat: Apache-2.0). ### Where can I find alternatives to lanarky or FastChat? GraphCanon lists graph-backed alternatives at [lanarky alternatives](/tools/ajndkr-lanarky/alternatives) and [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) ([lanarky markdown twin](/tools/ajndkr-lanarky/alternatives.md), [FastChat markdown twin](/tools/lm-sys-fastchat/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-lm-sys-fastchat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lanarky or FastChat? lanarky: Archived. FastChat: 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 lanarky and FastChat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lanarky trust report](/tools/ajndkr-lanarky/trust); [FastChat trust report](/tools/lm-sys-fastchat/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/_