--- title: "FastChat vs raga-llm-hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lm-sys-fastchat-vs-raga-ai-hub-raga-llm-hub" tools: ["lm-sys-fastchat", "raga-ai-hub-raga-llm-hub"] --- # FastChat vs raga-llm-hub *GraphCanon updated Jul 11, 2026* ## Verdict Pick FastChat when license: FastChat is Apache-2.0, raga-llm-hub is Other; pick raga-llm-hub when license: raga-llm-hub is Other, FastChat is Apache-2.0. [FastChat](https://github.com/lm-sys/FastChat) reports 39k GitHub stars, 4.8k forks, and 1.0k open issues, last pushed May 1, 2026. [raga-llm-hub](https://www.raga.ai/llms) has 114 stars, 14 forks, and 2 open issues, last pushed Sep 9, 2024. Figures are from public GitHub metadata via [FastChat's repository](https://github.com/lm-sys/FastChat) and [raga-llm-hub's repository](https://github.com/raga-ai-hub/raga-llm-hub). | | [FastChat](/tools/lm-sys-fastchat.md) | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | | --- | --- | --- | | Tagline | An open platform for training, serving, and evaluating large language models | Framework for LLM evaluation, guardrails and security | | Stars | 39,490 | 114 | | Forks | 4,788 | 14 | | Open issues | 1,027 | 2 | | Language | Python | Python | | Adopt for | FastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability | LLM Frameworks, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FastChat](/tools/lm-sys-fastchat.md) | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 71d | 670d | | Open issues (now) | 1.0k | 2 | | Full report | [trust report](/tools/lm-sys-fastchat/trust.md) | [trust report](/tools/raga-ai-hub-raga-llm-hub/trust.md) | ## Shared compatibility - **Python**: [FastChat](/tools/lm-sys-fastchat.md) - Python runtime; [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) - Python runtime ## Decision facts: FastChat - **Adopt for:** FastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB ## Choose when ### Choose FastChat if… - License: FastChat is Apache-2.0, raga-llm-hub is Other. - Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving. - Also covers Model Training, Inference & Serving. - - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### Choose raga-llm-hub if… - License: raga-llm-hub is Other, FastChat is Apache-2.0. - Tags unique to raga-llm-hub: llmops, python, guardrails, llm-security. - Leaner open-issue backlog (2). ## When NOT to use FastChat - - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions. - - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations). - - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on - + Mac. ## When NOT to use raga-llm-hub - Last GitHub push was 670 days ago (dormant maintenance, Sep 9, 2024). Validate activity before betting a new project on raga-llm-hub. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between FastChat and raga-llm-hub? FastChat: An open platform for training, serving, and evaluating large language models. raga-llm-hub: Framework for LLM evaluation, guardrails and security. See the comparison table for live GitHub stats and shared categories. ### When should I choose FastChat over raga-llm-hub? Choose FastChat over raga-llm-hub when License: FastChat is Apache-2.0, raga-llm-hub is Other; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers Model Training, Inference & Serving; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### When should I choose raga-llm-hub over FastChat? Choose raga-llm-hub over FastChat when License: raga-llm-hub is Other, FastChat is Apache-2.0; Tags unique to raga-llm-hub: llmops, python, guardrails, llm-security; Leaner open-issue backlog (2). ### When should I avoid FastChat? - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions. - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations). - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on + Mac. ### When should I avoid raga-llm-hub? Last GitHub push was 670 days ago (dormant maintenance, Sep 9, 2024). Validate activity before betting a new project on raga-llm-hub. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is FastChat or raga-llm-hub more popular on GitHub? FastChat has more GitHub stars (39,490 vs 114). Stars measure visibility, not whether either tool fits your constraints. ### Are FastChat and raga-llm-hub open source? Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, raga-llm-hub: Other). ### Where can I find alternatives to FastChat or raga-llm-hub? GraphCanon lists graph-backed alternatives at [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) and [raga-llm-hub alternatives](/tools/raga-ai-hub-raga-llm-hub/alternatives) ([FastChat markdown twin](/tools/lm-sys-fastchat/alternatives.md), [raga-llm-hub markdown twin](/tools/raga-ai-hub-raga-llm-hub/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/lm-sys-fastchat-vs-raga-ai-hub-raga-llm-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FastChat or raga-llm-hub? FastChat: Steady. raga-llm-hub: Dormant. 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 FastChat and raga-llm-hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FastChat trust report](/tools/lm-sys-fastchat/trust); [raga-llm-hub trust report](/tools/raga-ai-hub-raga-llm-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lm-sys-fastchat`](/api/graphcanon/graph?tool=lm-sys-fastchat) - 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/_