--- title: "huozi vs FastChat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hit-scir-huozi-vs-lm-sys-fastchat" tools: ["hit-scir-huozi", "lm-sys-fastchat"] --- # huozi vs FastChat *GraphCanon updated Aug 24, 2026* ## Verdict Pick huozi if huozi is a Python-based large model framework with Apache-2.0 license for fine-tuning and NLP applications; pick FastChat if 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. [huozi](https://github.com/HIT-SCIR/huozi) reports 393 GitHub stars, 26 forks, and 0 open issues, last pushed Sep 12, 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 [huozi's repository](https://github.com/HIT-SCIR/huozi) and [FastChat's repository](https://github.com/lm-sys/FastChat). | | [huozi](/tools/hit-scir-huozi.md) | [FastChat](/tools/lm-sys-fastchat.md) | | --- | --- | --- | | Tagline | General-purpose large model for fine-tuning and applications | An open platform for training, serving, and evaluating large language models | | Stars | 393 | 39,517 | | Forks | 26 | 4,788 | | Open issues | 0 | 1,038 | | Language | Python | Python | | Adopt for | Huozi is a Python-based large model framework with Apache-2.0 license for fine-tuning and NLP applications. | 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 | Apache-2.0 | | Categories | LLM Frameworks, Model Training | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [huozi](/tools/hit-scir-huozi.md) | [FastChat](/tools/lm-sys-fastchat.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 711d | 98d | | Open issues (now) | 0 | 1.0k | | Stars delta | -2 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/hit-scir-huozi/trust.md) | [trust report](/tools/lm-sys-fastchat/trust.md) | ## Shared compatibility - **Python**: [huozi](/tools/hit-scir-huozi.md) - Python runtime; [FastChat](/tools/lm-sys-fastchat.md) - Python runtime ## Decision facts: huozi - **Adopt for:** Huozi is a Python-based large model framework with Apache-2.0 license for fine-tuning and NLP applications. ## 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 huozi if… - Tags unique to huozi: fine-tuning, llm, nlp. - When working on projects that require fast integration of pre-trained language models through its streamlined fine-tuning capabilities. - Leaner open-issue backlog (0). ### Choose FastChat if… - Tags unique to FastChat: chatbots, distributed-serving, evaluation system. - Also covers Evaluation & Observability, Inference & Serving. - - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ## When NOT to use huozi - If your project requires proprietary licensing, as Huozi is under the Apache-2.0 license which may not meet all business models' requirements. - When needing a framework with comprehensive support for visual data or other non-textual machine learning applications. ## 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. ## Common questions ### What is the difference between huozi and FastChat? huozi: General-purpose large model for fine-tuning and applications. 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 huozi over FastChat? Choose huozi over FastChat when Tags unique to huozi: fine-tuning, llm, nlp; When working on projects that require fast integration of pre-trained language models through its streamlined fine-tuning capabilities; Leaner open-issue backlog (0). ### When should I choose FastChat over huozi? Choose FastChat over huozi when Tags unique to FastChat: chatbots, distributed-serving, evaluation system; Also covers Evaluation & Observability, Inference & Serving; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### When should I avoid huozi? If your project requires proprietary licensing, as Huozi is under the Apache-2.0 license which may not meet all business models' requirements. When needing a framework with comprehensive support for visual data or other non-textual machine learning applications. ### 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. ### Is huozi or FastChat more popular on GitHub? FastChat has more GitHub stars (39,517 vs 393). Stars measure visibility, not whether either tool fits your constraints. ### Are huozi and FastChat open source? Yes - both are open-source projects on GitHub (huozi: Apache-2.0, FastChat: Apache-2.0). ### Where can I find alternatives to huozi or FastChat? GraphCanon lists graph-backed alternatives at [huozi alternatives](/tools/hit-scir-huozi/alternatives) and [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) ([huozi markdown twin](/tools/hit-scir-huozi/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/hit-scir-huozi-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, huozi or FastChat? huozi: Dormant. 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 huozi and FastChat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [huozi trust report](/tools/hit-scir-huozi/trust); [FastChat trust report](/tools/lm-sys-fastchat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hit-scir-huozi`](/api/graphcanon/graph?tool=hit-scir-huozi) - 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/_