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Comparison

code-eval vs auto-evaluator

Verdict

Pick code-eval if code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability; pick auto-evaluator if auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI.

Markdown twin · code-eval alternatives · auto-evaluator alternatives

GraphCanon updated 2w

code-eval logo

code-eval

abacaj/code-eval

★ 431pushed Sep 12, 2023
vs
auto-evaluator logo

auto-evaluator

rlancemartin/auto-evaluator

★ 1.1kpushed May 10, 2023

Trust & integrity

Signalcode-evalauto-evaluator
Maintenance
Dormant (1058d since push)
As of 2w · github_public_v1
Dormant (1186d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Personal account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
Published findings
As of 1mo · 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
code-eval trust reportauto-evaluator trust reportTrust methodology

Tagline

code-eval
Run evaluation on LLMs using human-eval benchmark.
auto-evaluator
A lightweight evaluation tool for question-answering using Langchain

Stars

code-eval
431
auto-evaluator
1.1k

Forks

code-eval
37
auto-evaluator
92

Open issues

code-eval
5
auto-evaluator
3

Language

code-eval
Python
auto-evaluator
Python

Adopt for

code-eval
code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability.
auto-evaluator
Auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI.

Persona

code-eval
-
auto-evaluator
-

Runtime

code-eval
-
auto-evaluator
-

License

code-eval
MIT
auto-evaluator
-

Last pushed

code-eval
Sep 12, 2023
auto-evaluator
May 10, 2023

Categories

code-eval
Evaluation & Observability
auto-evaluator
Evaluation & Observability

Trust and health

Days since push

code-eval
1058d
auto-evaluator
1186d

Open issues (now)

code-eval
5
auto-evaluator
3

Full report

code-eval
Trust report
auto-evaluator
Trust report

Shared compatibility

  • Python · code-eval: Python runtime · auto-evaluator: Python runtime

Choose code-eval if…

  • Tags unique to code-eval: humaneval, wizardcoder.
  • When you need clear comparisons of pass rates for different LLMs using standardized tests
  • More recently updated (last pushed Sep 12, 2023).

When NOT to use code-eval

  • If the tool's results do not correlate well with the official published benchmarks due to unknown prompt differences
  • For real-time or dynamic evaluations as this repo offers pre-computed static results only
GitHubDetails

Choose auto-evaluator if…

  • Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm.
  • Use when you need a lightweight solution for testing question-answering capabilities of Langchain models.
  • More GitHub stars (1.1k vs 431) - visibility, not fit.

When NOT to use auto-evaluator

  • Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings.
  • If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
GitHubDetails

Explore

code-eval trust report →auto-evaluator trust report →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: code-eval 431 · auto-evaluator 1.1k (synced Aug 5, 2026).

Common questions

What is the difference between code-eval and auto-evaluator?
code-eval: Run evaluation on LLMs using human-eval benchmark.. auto-evaluator: A lightweight evaluation tool for question-answering using Langchain. See the comparison table for live GitHub stats and shared categories.
When should I choose code-eval over auto-evaluator?
Choose code-eval over auto-evaluator when Tags unique to code-eval: humaneval, wizardcoder; When you need clear comparisons of pass rates for different LLMs using standardized tests; More recently updated (last pushed Sep 12, 2023).
When should I choose auto-evaluator over code-eval?
Choose auto-evaluator over code-eval when Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models; More GitHub stars (1.1k vs 431) - visibility, not fit.
When should I avoid code-eval?
If the tool's results do not correlate well with the official published benchmarks due to unknown prompt differences For real-time or dynamic evaluations as this repo offers pre-computed static results only
When should I avoid auto-evaluator?
Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings. If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
Is code-eval or auto-evaluator more popular on GitHub?
auto-evaluator has more GitHub stars (1,105 vs 431). Stars measure visibility, not whether either tool fits your constraints.
Are code-eval and auto-evaluator open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to code-eval or auto-evaluator?
GraphCanon lists graph-backed alternatives at code-eval alternatives and auto-evaluator alternatives (code-eval markdown twin, auto-evaluator 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, code-eval or auto-evaluator?
code-eval: Dormant. auto-evaluator: Dormant. 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 code-eval and auto-evaluator?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; auto-evaluator trust report.

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