--- title: "FastChat vs prompt-patterns" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lm-sys-fastchat-vs-phodal-prompt-patterns" tools: ["lm-sys-fastchat", "phodal-prompt-patterns"] --- # FastChat vs prompt-patterns *GraphCanon updated Aug 7, 2026* ## Verdict Pick FastChat when tags unique to FastChat: chatbots, distributed-serving, evaluation system, large language models; pick prompt-patterns when requirements: The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided information.. [FastChat](https://github.com/lm-sys/FastChat) reports 40k GitHub stars, 4.8k forks, and 1.0k open issues, last pushed May 1, 2026. [prompt-patterns](https://prompt-patterns.phodal.com) has 3.1k stars, 198 forks, and 0 open issues, last pushed Mar 22, 2023. Figures are from public GitHub metadata via [FastChat's repository](https://github.com/lm-sys/FastChat) and [prompt-patterns's repository](https://github.com/phodal/prompt-patterns). | | [FastChat](/tools/lm-sys-fastchat.md) | [prompt-patterns](/tools/phodal-prompt-patterns.md) | | --- | --- | --- | | Tagline | An open platform for training, serving, and evaluating large language models | Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt | | Stars | 39,517 | 3,095 | | Forks | 4,788 | 198 | | Open issues | 1,038 | 0 | | Language | 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 | - | | Categories | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FastChat](/tools/lm-sys-fastchat.md) | [prompt-patterns](/tools/phodal-prompt-patterns.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 98d | 1224d | | Open issues (now) | 1.0k | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/lm-sys-fastchat/trust.md) | [trust report](/tools/phodal-prompt-patterns/trust.md) | ## Shared compatibility - **ChatGPT**: [FastChat](/tools/lm-sys-fastchat.md) - Works with ChatGPT; [prompt-patterns](/tools/phodal-prompt-patterns.md) - Works with ChatGPT ## 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 ## Decision facts: prompt-patterns - **Requirements:** The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided information. ## Choose when ### Choose FastChat if… - Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large language models. - Also covers Inference & Serving, Model Training. - - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### Choose prompt-patterns if… - Requirements: The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided information.. - Tags unique to prompt-patterns: chatgpt, github-copilot, prompt-engineering, stable-diffusion. - Use prompt-patterns for designing structured prompts to guide AI thinking in specific frameworks when working on projects that require maintaining a clear cognitive structure. ## 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 prompt-patterns - Avoid prompt-patterns for real-time applications or situations requiring dynamic, contextually adaptive prompts, as it might lack flexibility compared to more generalized frameworks. - Do not use if your project's requirements revolve around innovative and unstructured AI interactions; this tool is best for structured environments. ## Common questions ### What is the difference between FastChat and prompt-patterns? FastChat: An open platform for training, serving, and evaluating large language models. prompt-patterns: Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt. See the comparison table for live GitHub stats and shared categories. ### When should I choose FastChat over prompt-patterns? Choose FastChat over prompt-patterns when Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large language models; Also covers Inference & Serving, Model Training; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### When should I choose prompt-patterns over FastChat? Choose prompt-patterns over FastChat when Requirements: The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided information.; Tags unique to prompt-patterns: chatgpt, github-copilot, prompt-engineering, stable-diffusion; Use prompt-patterns for designing structured prompts to guide AI thinking in specific frameworks when working on projects that require maintaining a clear cognitive structure. ### 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 prompt-patterns? Avoid prompt-patterns for real-time applications or situations requiring dynamic, contextually adaptive prompts, as it might lack flexibility compared to more generalized frameworks. Do not use if your project's requirements revolve around innovative and unstructured AI interactions; this tool is best for structured environments. ### Is FastChat or prompt-patterns more popular on GitHub? FastChat has more GitHub stars (39,517 vs 3,095). Stars measure visibility, not whether either tool fits your constraints. ### Are FastChat and prompt-patterns open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to FastChat or prompt-patterns? GraphCanon lists graph-backed alternatives at [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) and [prompt-patterns alternatives](/tools/phodal-prompt-patterns/alternatives) ([FastChat markdown twin](/tools/lm-sys-fastchat/alternatives.md), [prompt-patterns markdown twin](/tools/phodal-prompt-patterns/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-phodal-prompt-patterns.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FastChat or prompt-patterns? FastChat: Slowing. prompt-patterns: 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 prompt-patterns? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FastChat trust report](/tools/lm-sys-fastchat/trust); [prompt-patterns trust report](/tools/phodal-prompt-patterns/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/_