--- title: "coder_reviewer_reranking vs FastChat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/facebookresearch-coder-reviewer-reranking-vs-lm-sys-fastchat" tools: ["facebookresearch-coder-reviewer-reranking", "lm-sys-fastchat"] --- # coder_reviewer_reranking vs FastChat *GraphCanon updated Jul 11, 2026* ## Verdict Pick coder_reviewer_reranking when license: coder_reviewer_reranking is Other, FastChat is Apache-2.0; pick FastChat when license: FastChat is Apache-2.0, coder_reviewer_reranking is Other. [coder_reviewer_reranking](https://github.com/facebookresearch/coder_reviewer_reranking) reports 45 GitHub stars, 9 forks, and 1 open issues, last pushed Feb 14, 2023. [FastChat](https://github.com/lm-sys/FastChat) has 39k stars, 4.8k forks, and 1.0k open issues, last pushed May 1, 2026. Figures are from public GitHub metadata via [coder_reviewer_reranking's repository](https://github.com/facebookresearch/coder_reviewer_reranking) and [FastChat's repository](https://github.com/lm-sys/FastChat). | | [coder_reviewer_reranking](/tools/facebookresearch-coder-reviewer-reranking.md) | [FastChat](/tools/lm-sys-fastchat.md) | | --- | --- | --- | | Tagline | Official code release for the paper Coder Reviewer Reranking for Code Generation. | An open platform for training, serving, and evaluating large language models | | Stars | 45 | 39,490 | | Forks | 9 | 4,788 | | Open issues | 1 | 1,027 | | 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 | Other | Apache-2.0 | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [coder_reviewer_reranking](/tools/facebookresearch-coder-reviewer-reranking.md) | [FastChat](/tools/lm-sys-fastchat.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Steady (60%) | | Days since push | 1243d | 71d | | Archived on GitHub | Yes | No | | Open issues (now) | 1 | 1.0k | | Security scan | 85 low (85 low) | No lockfile | | Full report | [trust report](/tools/facebookresearch-coder-reviewer-reranking/trust.md) | [trust report](/tools/lm-sys-fastchat/trust.md) | ## Shared compatibility - **Python**: [coder_reviewer_reranking](/tools/facebookresearch-coder-reviewer-reranking.md) - Python runtime; [FastChat](/tools/lm-sys-fastchat.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 coder_reviewer_reranking if… - License: coder_reviewer_reranking is Other, FastChat is Apache-2.0. - Tags unique to coder_reviewer_reranking: python. - Leaner open-issue backlog (1). ### Choose FastChat if… - License: FastChat is Apache-2.0, coder_reviewer_reranking is Other. - 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 NOT to use coder_reviewer_reranking - coder_reviewer_reranking is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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 coder_reviewer_reranking and FastChat? coder_reviewer_reranking: Official code release for the paper Coder Reviewer Reranking for Code Generation.. 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 coder_reviewer_reranking over FastChat? Choose coder_reviewer_reranking over FastChat when License: coder_reviewer_reranking is Other, FastChat is Apache-2.0; Tags unique to coder_reviewer_reranking: python; Leaner open-issue backlog (1). ### When should I choose FastChat over coder_reviewer_reranking? Choose FastChat over coder_reviewer_reranking when License: FastChat is Apache-2.0, coder_reviewer_reranking is Other; 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 avoid coder_reviewer_reranking? coder_reviewer_reranking is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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 coder_reviewer_reranking or FastChat more popular on GitHub? FastChat has more GitHub stars (39,490 vs 45). Stars measure visibility, not whether either tool fits your constraints. ### Are coder_reviewer_reranking and FastChat open source? Yes - both are open-source projects on GitHub (coder_reviewer_reranking: Other, FastChat: Apache-2.0). ### Where can I find alternatives to coder_reviewer_reranking or FastChat? GraphCanon lists graph-backed alternatives at [coder_reviewer_reranking alternatives](/tools/facebookresearch-coder-reviewer-reranking/alternatives) and [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) ([coder_reviewer_reranking markdown twin](/tools/facebookresearch-coder-reviewer-reranking/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/facebookresearch-coder-reviewer-reranking-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, coder_reviewer_reranking or FastChat? coder_reviewer_reranking: Archived. FastChat: Steady. 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 coder_reviewer_reranking and FastChat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [coder_reviewer_reranking trust report](/tools/facebookresearch-coder-reviewer-reranking/trust); [FastChat trust report](/tools/lm-sys-fastchat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=facebookresearch-coder-reviewer-reranking`](/api/graphcanon/graph?tool=facebookresearch-coder-reviewer-reranking) - 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/_