Home/Compare/HLCE vs FastChat

Comparison

HLCE vs FastChat

Verdict

Pick HLCE when tags unique to HLCE: benchmark, codegen, codellm, llm; pick FastChat when tags unique to FastChat: chatbots, distributed-serving, evaluation system, large-language-models.

Markdown twin · HLCE alternatives · FastChat alternatives

GraphCanon updated today

HLCE logo

HLCE

Humanity-s-Last-Code-Exam/HLCE

96pushed Aug 21, 2025
vs
FastChat logo

FastChat

lm-sys/FastChat

39kpushed May 1, 2026

Trust & integrity

SignalHLCEFastChat
Maintenance
Slowing (328d since push)
As of today · github_public_v1
Steady (74d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
OSV dependency advisories
Published findings
As of today · osv@v1
No lockfile (source not queried)
As of 4d · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

HLCE
(EMNLP 2025 Findings) Source Evaluation scripts for Humanity's Last Code Exam
FastChat
An open platform for training, serving, and evaluating large language models

Stars

HLCE
96
FastChat
39k

Forks

HLCE
8
FastChat
4.8k

Open issues

HLCE
1
FastChat
1.0k

Language

HLCE
Python
FastChat
Python

Adopt for

HLCE
-
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

HLCE
-
FastChat
-

Runtime

HLCE
-
FastChat
-

License

HLCE
-
FastChat
Apache-2.0

Last pushed

HLCE
Aug 21, 2025
FastChat
May 1, 2026

Categories

HLCE
Evaluation & Observability, LLM Frameworks
FastChat
Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training

Trust and health

Maintenance

HLCE
Slowing (36%)
FastChat
Steady (60%)

Days since push

HLCE
328d
FastChat
74d

Open issues (now)

HLCE
1
FastChat
1.0k

OSV dependency advisories

HLCE
Published findings
FastChat
No lockfile (source not queried)

Full report

FastChat
Trust report

Choose HLCE if…

  • Tags unique to HLCE: benchmark, codegen, codellm, llm.
  • Leaner open-issue backlog (1).

When NOT to use HLCE

  • Last GitHub push was 328 days ago (slowing maintenance, Aug 21, 2025). Validate activity before betting a new project on HLCE.
  • 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.

Choose FastChat if…

  • 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 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: HLCE 96 · FastChat 39k (synced Jul 15, 2026).

Common questions

What is the difference between HLCE and FastChat?
HLCE: (EMNLP 2025 Findings) Source Evaluation scripts for Humanity's Last Code Exam. 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 HLCE over FastChat?
Choose HLCE over FastChat when Tags unique to HLCE: benchmark, codegen, codellm, llm; Leaner open-issue backlog (1).
When should I choose FastChat over HLCE?
Choose FastChat over HLCE when 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 HLCE?
Last GitHub push was 328 days ago (slowing maintenance, Aug 21, 2025). Validate activity before betting a new project on HLCE. 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 HLCE or FastChat more popular on GitHub?
FastChat has more GitHub stars (39,494 vs 96). Stars measure visibility, not whether either tool fits your constraints.
Are HLCE and FastChat open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to HLCE or FastChat?
GraphCanon lists graph-backed alternatives at HLCE alternatives and FastChat alternatives (HLCE 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, HLCE or FastChat?
HLCE: 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 HLCE and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: HLCE trust report; FastChat trust report.

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