Home/Compare/coder_reviewer_reranking vs FastChat

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

coder_reviewer_reranking logo

coder_reviewer_reranking

facebookresearch/coder_reviewer_reranking

45pushed Feb 14, 2023
vs
FastChat logo

FastChat

lm-sys/FastChat

39kpushed May 1, 2026

Trust & integrity

Signalcoder_reviewer_rerankingFastChat
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 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.