--- title: "FastChat vs fastDeploy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lm-sys-fastchat-vs-notai-tech-fastdeploy" tools: ["lm-sys-fastchat", "notai-tech-fastdeploy"] --- # FastChat vs fastDeploy *GraphCanon updated Jul 15, 2026* ## Verdict Pick FastChat when license: FastChat is Apache-2.0, fastDeploy is MIT; pick fastDeploy when license: fastDeploy is MIT, 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. [fastDeploy](https://github.com/notAI-tech/fastDeploy) has 105 stars, 17 forks, and 0 open issues, last pushed Feb 10, 2026. Figures are from public GitHub metadata via [FastChat's repository](https://github.com/lm-sys/FastChat) and [fastDeploy's repository](https://github.com/notAI-tech/fastDeploy). | | [FastChat](/tools/lm-sys-fastchat.md) | [fastDeploy](/tools/notai-tech-fastdeploy.md) | | --- | --- | --- | | Tagline | An open platform for training, serving, and evaluating large language models | Deploy DL/ ML inference pipelines with minimal extra code. | | Stars | 39,494 | 105 | | Forks | 4,786 | 17 | | Open issues | 1,027 | 0 | | 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 | MIT | | Categories | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FastChat](/tools/lm-sys-fastchat.md) | [fastDeploy](/tools/notai-tech-fastdeploy.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 74d | 154d | | Open issues (now) | 1.0k | 0 | | Full report | [trust report](/tools/lm-sys-fastchat/trust.md) | [trust report](/tools/notai-tech-fastdeploy/trust.md) | ## 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, fastDeploy is MIT. - Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large-language-models. - Also covers Evaluation & Observability, LLM Frameworks. - - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### Choose fastDeploy if… - License: fastDeploy is MIT, FastChat is Apache-2.0. - Tags unique to fastDeploy: deep-learning, docker, falcon, gevent. - Also covers Speech & Audio. ## 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 fastDeploy - Last GitHub push was 155 days ago (slowing maintenance, Feb 10, 2026). Validate activity before betting a new project on fastDeploy. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between FastChat and fastDeploy? FastChat: An open platform for training, serving, and evaluating large language models. fastDeploy: Deploy DL/ ML inference pipelines with minimal extra code.. See the comparison table for live GitHub stats and shared categories. ### When should I choose FastChat over fastDeploy? Choose FastChat over fastDeploy when License: FastChat is Apache-2.0, fastDeploy is MIT; Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large-language-models; Also covers Evaluation & Observability, LLM Frameworks; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### When should I choose fastDeploy over FastChat? Choose fastDeploy over FastChat when License: fastDeploy is MIT, FastChat is Apache-2.0; Tags unique to fastDeploy: deep-learning, docker, falcon, gevent; Also covers Speech & Audio. ### 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 fastDeploy? Last GitHub push was 155 days ago (slowing maintenance, Feb 10, 2026). Validate activity before betting a new project on fastDeploy. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is FastChat or fastDeploy more popular on GitHub? FastChat has more GitHub stars (39,494 vs 105). Stars measure visibility, not whether either tool fits your constraints. ### Are FastChat and fastDeploy open source? Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, fastDeploy: MIT). ### Where can I find alternatives to FastChat or fastDeploy? GraphCanon lists graph-backed alternatives at [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) and [fastDeploy alternatives](/tools/notai-tech-fastdeploy/alternatives) ([FastChat markdown twin](/tools/lm-sys-fastchat/alternatives.md), [fastDeploy markdown twin](/tools/notai-tech-fastdeploy/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-notai-tech-fastdeploy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FastChat or fastDeploy? FastChat: Steady. fastDeploy: 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 FastChat and fastDeploy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FastChat trust report](/tools/lm-sys-fastchat/trust); [fastDeploy trust report](/tools/notai-tech-fastdeploy/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/_