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Comparison

code-eval vs human-eval

Verdict

Pick code-eval if code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability; pick human-eval if human-eval is a tool designed for evaluating large language models trained specifically on code through human-written tests.

Markdown twin · code-eval alternatives · human-eval alternatives

GraphCanon updated 2w

code-eval logo

code-eval

abacaj/code-eval

★ 431pushed Sep 12, 2023
vs
human-eval logo

human-eval

openai/human-eval

★ 3.3kpushed Jan 17, 2025

Trust & integrity

Signalcode-evalhuman-eval
Maintenance
Dormant (1058d since push)
As of 2w · github_public_v1
Dormant (564d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
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 reporthuman-eval trust reportTrust methodology

Tagline

code-eval
Run evaluation on LLMs using human-eval benchmark.
human-eval
Evaluating Large Language Models Trained on Code

Stars

code-eval
431
human-eval
3.3k

Forks

code-eval
37
human-eval
452

Open issues

code-eval
5
human-eval
44

Language

code-eval
Python
human-eval
Python

Adopt for

code-eval
code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability.
human-eval
human-eval is a tool designed for evaluating large language models trained specifically on code through human-written tests.

Persona

code-eval
-
human-eval
-

Runtime

code-eval
-
human-eval
-

License

code-eval
MIT
human-eval
MIT

Last pushed

code-eval
Sep 12, 2023
human-eval
Jan 17, 2025

Categories

code-eval
Evaluation & Observability
human-eval
Evaluation & Observability

Trust and health

Days since push

code-eval
1058d
human-eval
564d

Open issues (now)

code-eval
5
human-eval
44

Owner type

code-eval
User
human-eval
Organization

OSV dependency advisories

code-eval
Published findings
human-eval
No published findings from this source as of 2026-07-11

Full report

code-eval
Trust report
human-eval
Trust report

Shared compatibility

  • Python · code-eval: Python runtime · human-eval: 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
  • Leaner open-issue backlog (5).

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 human-eval if…

  • This evaluation framework must be installed and set up in your own environment, ensuring full control over the testing process.
  • Pricing: The software is available under an MIT license for free use, yet advanced features or services beyond its core functionality might incur costs..
  • Tags unique to human-eval: code evaluation, large language models, python.
  • When you need to evaluate the performance of AI systems that have been trained exclusively on code datasets, as it allows testing via human-created benchmarks relevant only to code-based models.

When NOT to use human-eval

  • If you are interested in evaluating general natural language processing tasks without coding context, as human-eval is tailored specifically for assessing code-focused AI systems.
  • When the required Python version is below 3.7; this tool mandates at least Python 3.7 to ensure compatibility with its dependencies.
GitHubDetails

Explore

code-eval trust report →human-eval 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 · human-eval 3.3k (synced Aug 5, 2026).

Common questions

What is the difference between code-eval and human-eval?
code-eval: Run evaluation on LLMs using human-eval benchmark.. human-eval: Evaluating Large Language Models Trained on Code. See the comparison table for live GitHub stats and shared categories.
When should I choose code-eval over human-eval?
Choose code-eval over human-eval when Tags unique to code-eval: humaneval, wizardcoder; When you need clear comparisons of pass rates for different LLMs using standardized tests; Leaner open-issue backlog (5).
When should I choose human-eval over code-eval?
Choose human-eval over code-eval when This evaluation framework must be installed and set up in your own environment, ensuring full control over the testing process; Pricing: The software is available under an MIT license for free use, yet advanced features or services beyond its core functionality might incur costs.; Tags unique to human-eval: code evaluation, large language models, python; When you need to evaluate the performance of AI systems that have been trained exclusively on code datasets, as it allows testing via human-created benchmarks relevant only to code-based models.
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 human-eval?
If you are interested in evaluating general natural language processing tasks without coding context, as human-eval is tailored specifically for assessing code-focused AI systems. When the required Python version is below 3.7; this tool mandates at least Python 3.7 to ensure compatibility with its dependencies.
Is code-eval or human-eval more popular on GitHub?
human-eval has more GitHub stars (3,331 vs 431). Stars measure visibility, not whether either tool fits your constraints.
Are code-eval and human-eval open source?
Yes - both are open-source projects on GitHub (code-eval: MIT, human-eval: MIT).
Where can I find alternatives to code-eval or human-eval?
GraphCanon lists graph-backed alternatives at code-eval alternatives and human-eval alternatives (code-eval markdown twin, human-eval 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 human-eval?
code-eval: Dormant. human-eval: 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 human-eval?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; human-eval trust report.

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