Home/Compare/bigcode-evaluation-harness vs FastChat

Comparison

bigcode-evaluation-harness vs FastChat

Verdict

Pick bigcode-evaluation-harness when tags unique to bigcode-evaluation-harness: python; pick FastChat when tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.

Markdown twin · bigcode-evaluation-harness alternatives · FastChat alternatives

GraphCanon updated today

bigcode-evaluation-harness logo

bigcode-evaluation-harness

bigcode-project/bigcode-evaluation-harness

1.1kpushed Jul 22, 2025
vs
FastChat logo

FastChat

lm-sys/FastChat

39kpushed May 1, 2026

Trust & integrity

Signalbigcode-evaluation-harnessFastChat
Maintenance
Slowing (354d 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)
46 low (46 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

bigcode-evaluation-harness
A framework for the evaluation of autoregressive code generation language models.
FastChat
An open platform for training, serving, and evaluating large language models

Stars

bigcode-evaluation-harness
1.1k
FastChat
39k

Forks

bigcode-evaluation-harness
263
FastChat
4.8k

Open issues

bigcode-evaluation-harness
97
FastChat
1.0k

Language

bigcode-evaluation-harness
Python
FastChat
Python

Adopt for

bigcode-evaluation-harness
-
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

bigcode-evaluation-harness
-
FastChat
-

Runtime

bigcode-evaluation-harness
-
FastChat
-

License

bigcode-evaluation-harness
Apache-2.0
FastChat
Apache-2.0

Last pushed

bigcode-evaluation-harness
Jul 22, 2025
FastChat
May 1, 2026

Categories

bigcode-evaluation-harness
LLM Frameworks, Computer Vision, Evaluation & Observability
FastChat
Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability

Trust and health

Maintenance

bigcode-evaluation-harness
Slowing (36%)
FastChat
Steady (60%)

Days since push

bigcode-evaluation-harness
354d
FastChat
71d

Open issues (now)

bigcode-evaluation-harness
97
FastChat
1.0k

Security scan

bigcode-evaluation-harness
46 low (46 low)
FastChat
No lockfile

Full report

bigcode-evaluation-harness
Trust report
FastChat
Trust report

Choose bigcode-evaluation-harness if…

  • Tags unique to bigcode-evaluation-harness: python.
  • Also covers Computer Vision.
  • bigcode-evaluation-harness ships Docker support for self-hosted deployment.

When NOT to use bigcode-evaluation-harness

  • Last GitHub push was 354 days ago (slowing maintenance, Jul 22, 2025). Validate activity before betting a new project on bigcode-evaluation-harness.
  • 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…

  • 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: bigcode-evaluation-harness 1.1k · FastChat 39k (synced Jul 11, 2026).

Common questions

What is the difference between bigcode-evaluation-harness and FastChat?
bigcode-evaluation-harness: A framework for the evaluation of autoregressive code generation language models.. 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 bigcode-evaluation-harness over FastChat?
Choose bigcode-evaluation-harness over FastChat when Tags unique to bigcode-evaluation-harness: python; Also covers Computer Vision; bigcode-evaluation-harness ships Docker support for self-hosted deployment.
When should I choose FastChat over bigcode-evaluation-harness?
Choose FastChat over bigcode-evaluation-harness when 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 bigcode-evaluation-harness?
Last GitHub push was 354 days ago (slowing maintenance, Jul 22, 2025). Validate activity before betting a new project on bigcode-evaluation-harness. 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 bigcode-evaluation-harness or FastChat more popular on GitHub?
FastChat has more GitHub stars (39,490 vs 1,053). Stars measure visibility, not whether either tool fits your constraints.
Are bigcode-evaluation-harness and FastChat open source?
Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, FastChat: Apache-2.0).
Where can I find alternatives to bigcode-evaluation-harness or FastChat?
GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and FastChat alternatives (bigcode-evaluation-harness 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, bigcode-evaluation-harness or FastChat?
bigcode-evaluation-harness: Slowing. 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 bigcode-evaluation-harness and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; FastChat trust report.