Comparison
coder_reviewer_reranking vs FastChat
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.
Markdown twin · coder_reviewer_reranking alternatives · FastChat alternatives
GraphCanon updated today
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Trust & integrity
| Signal | coder_reviewer_reranking | FastChat |
|---|---|---|
| Maintenance | Archived (1243d since push) As of today · github_public_v1 | Steady (71d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | 85 low (85 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- 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
Stars
- coder_reviewer_reranking
- 45
- FastChat
- 39k
Forks
- coder_reviewer_reranking
- 9
- FastChat
- 4.8k
Open issues
- coder_reviewer_reranking
- 1
- FastChat
- 1.0k
Language
- coder_reviewer_reranking
- Python
- FastChat
- Python
Adopt for
- coder_reviewer_reranking
- -
- FastChat
- 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
- coder_reviewer_reranking
- -
- FastChat
- -
Runtime
- coder_reviewer_reranking
- -
- FastChat
- -
License
- coder_reviewer_reranking
- Other
- FastChat
- Apache-2.0
Last pushed
- coder_reviewer_reranking
- Feb 14, 2023
- FastChat
- May 1, 2026
Categories
- coder_reviewer_reranking
- LLM Frameworks, Evaluation & Observability
- FastChat
- LLM Frameworks, Model Training, Inference & Serving, Evaluation & Observability
Trust and health
Maintenance
- coder_reviewer_reranking
- Archived (8%)
- FastChat
- Steady (60%)
Days since push
- coder_reviewer_reranking
- 1243d
- FastChat
- 71d
Archived on GitHub
- coder_reviewer_reranking
- Yes
- FastChat
- No
Open issues (now)
- coder_reviewer_reranking
- 1
- FastChat
- 1.0k
Security scan
- coder_reviewer_reranking
- 85 low (85 low)
- FastChat
- No lockfile
Full report
- coder_reviewer_reranking
- Trust report
- FastChat
- Trust report
Shared compatibility
- Python · coder_reviewer_reranking: Python runtime · FastChat: Python runtime
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).
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.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose FastChat if…
- License: FastChat is Apache-2.0, coder_reviewer_reranking is Other.
- Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
- Also covers Model Training, Inference & Serving.
- - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (facebookresearch/coder_reviewer_reranking) · observed Jul 11, 2026
- GitHub forks (facebookresearch/coder_reviewer_reranking) · observed Jul 11, 2026
- Last push (facebookresearch/coder_reviewer_reranking) · observed Feb 14, 2023
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lm-sys/FastChat) · observed Jul 11, 2026
- GitHub forks (lm-sys/FastChat) · observed Jul 11, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: coder_reviewer_reranking 45 · FastChat 39k (synced Jul 11, 2026).
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: evaluation system, large-language-models, chatbots, distributed serving; Also covers Model Training, Inference & Serving; - 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- 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 and FastChat alternatives (coder_reviewer_reranking markdown twin, FastChat markdown twin), 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 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; FastChat trust report.