--- title: "FastChat vs align-anything" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lm-sys-fastchat-vs-pku-alignment-align-anything" tools: ["lm-sys-fastchat", "pku-alignment-align-anything"] --- # FastChat vs align-anything *GraphCanon updated Aug 17, 2026* ## Verdict 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; pick align-anything if align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO. [FastChat](https://github.com/lm-sys/FastChat) reports 40k GitHub stars, 4.8k forks, and 1.0k open issues, last pushed May 1, 2026. [align-anything](https://github.com/PKU-Alignment/align-anything) has 4.7k stars, 505 forks, and 32 open issues, last pushed Nov 27, 2025. Figures are from public GitHub metadata via [FastChat's repository](https://github.com/lm-sys/FastChat) and [align-anything's repository](https://github.com/PKU-Alignment/align-anything). | | [FastChat](/tools/lm-sys-fastchat.md) | [align-anything](/tools/pku-alignment-align-anything.md) | | --- | --- | --- | | Tagline | An open platform for training, serving, and evaluating large language models | Training All-modality Model with Feedback | | Stars | 39,517 | 4,666 | | Forks | 4,788 | 505 | | Open issues | 1,038 | 32 | | 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 | Align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | This tool operates under Apache License 2.0, allowing free use, modification, and distribution provided copyright notices are preserved. | | Categories | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FastChat](/tools/lm-sys-fastchat.md) | [align-anything](/tools/pku-alignment-align-anything.md) | | --- | --- | --- | | Days since push | 98d | 263d | | Open issues (now) | 1.0k | 32 | | Stars delta | Unknown | +4 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/lm-sys-fastchat/trust.md) | [trust report](/tools/pku-alignment-align-anything/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 ## Decision facts: align-anything - **Requirements:** Python execution environment - **Adopt for:** Align Anything focuses on training large models with multiple forms of feedback across various data modalities, leveraging RLHF and DPO. - **License detail:** This tool operates under Apache License 2.0, allowing free use, modification, and distribution provided copyright notices are preserved. ## Choose when ### 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. ### Choose align-anything if… - Requirements: Python execution environment. - Tags unique to align-anything: chameleon, dpo, multimodal, rlhf. - align-anything ships Docker support for self-hosted deployment. - - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal). ## 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 align-anything - - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO. - - For projects that do not require support for multiple data modalities. ## Common questions ### What is the difference between FastChat and align-anything? FastChat: An open platform for training, serving, and evaluating large language models. align-anything: Training All-modality Model with Feedback. See the comparison table for live GitHub stats and shared categories. ### When should I choose FastChat over align-anything? Choose FastChat over align-anything 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 choose align-anything over FastChat? Choose align-anything over FastChat when Requirements: Python execution environment; Tags unique to align-anything: chameleon, dpo, multimodal, rlhf; align-anything ships Docker support for self-hosted deployment; - When you are developing a model that requires feedback from human evaluators and needs to handle different types of data (multimodal). ### 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 align-anything? - When the model training does not benefit from advanced feedback mechanisms like RLHF or DPO. - For projects that do not require support for multiple data modalities. ### Is FastChat or align-anything more popular on GitHub? FastChat has more GitHub stars (39,517 vs 4,666). Stars measure visibility, not whether either tool fits your constraints. ### Are FastChat and align-anything open source? Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, align-anything: Apache-2.0). ### Where can I find alternatives to FastChat or align-anything? GraphCanon lists graph-backed alternatives at [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) and [align-anything alternatives](/tools/pku-alignment-align-anything/alternatives) ([FastChat markdown twin](/tools/lm-sys-fastchat/alternatives.md), [align-anything markdown twin](/tools/pku-alignment-align-anything/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-pku-alignment-align-anything.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FastChat or align-anything? FastChat: Slowing. align-anything: 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 align-anything? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FastChat trust report](/tools/lm-sys-fastchat/trust); [align-anything trust report](/tools/pku-alignment-align-anything/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/_