Home/Compare/code-eval vs athina-evals

Comparison

code-eval vs athina-evals

Verdict

Pick code-eval if code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability; pick athina-evals if athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.

Markdown twin · code-eval alternatives · athina-evals alternatives

GraphCanon updated 2w

code-eval logo

code-eval

abacaj/code-eval

431pushed Sep 12, 2023
vs
athina-evals logo

athina-evals

athina-ai/athina-evals

301pushed Jun 6, 2025

Trust & integrity

Signalcode-evalathina-evals
Maintenance
Dormant (1058d since push)
As of 2w · github_public_v1
Dormant (417d since push)
As of 4w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Organization account
As of 4w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
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

Tagline

code-eval
Run evaluation on LLMs using human-eval benchmark.
athina-evals
Python SDK for evaluating LLM generated responses

Stars

code-eval
431
athina-evals
301

Forks

code-eval
37
athina-evals
22

Open issues

code-eval
5
athina-evals
3

Language

code-eval
Python
athina-evals
Python

Adopt for

code-eval
code-eval assesses large language models with the human-eval benchmark to provide insights into code generation reliability.
athina-evals
athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.

Persona

code-eval
-
athina-evals
-

Runtime

code-eval
-
athina-evals
-

License

code-eval
MIT
athina-evals
-

Last pushed

code-eval
Sep 12, 2023
athina-evals
Jun 6, 2025

Categories

code-eval
Evaluation & Observability
athina-evals
Evaluation & Observability

Trust and health

Days since push

code-eval
1058d
athina-evals
417d

Open issues (now)

code-eval
5
athina-evals
3

Owner type

code-eval
User
athina-evals
Organization

OSV dependency advisories

code-eval
Published findings
athina-evals
No lockfile (source not queried)

Full report

code-eval
Trust report
athina-evals
Trust report

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 GitHub stars (431 vs 301) - visibility, not fit.

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

Choose athina-evals if…

  • Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval.
  • When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
  • More recently updated (last pushed Jun 6, 2025).

When NOT to use athina-evals

  • If open-source alternatives with transparent customization options are preferred over athina-evals' approach
  • In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments

Explore

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 · athina-evals 301 (synced Aug 5, 2026).

Common questions

What is the difference between code-eval and athina-evals?
code-eval: Run evaluation on LLMs using human-eval benchmark.. athina-evals: Python SDK for evaluating LLM generated responses. See the comparison table for live GitHub stats and shared categories.
When should I choose code-eval over athina-evals?
Choose code-eval over athina-evals when Tags unique to code-eval: humaneval, wizardcoder; When you need clear comparisons of pass rates for different LLMs using standardized tests; More GitHub stars (431 vs 301) - visibility, not fit.
When should I choose athina-evals over code-eval?
Choose athina-evals over code-eval when Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; More recently updated (last pushed Jun 6, 2025).
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 athina-evals?
If open-source alternatives with transparent customization options are preferred over athina-evals' approach In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
Is code-eval or athina-evals more popular on GitHub?
code-eval has more GitHub stars (431 vs 301). Stars measure visibility, not whether either tool fits your constraints.
Are code-eval and athina-evals open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to code-eval or athina-evals?
GraphCanon lists graph-backed alternatives at code-eval alternatives and athina-evals alternatives (code-eval markdown twin, athina-evals 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 athina-evals?
code-eval: Dormant. athina-evals: 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 athina-evals?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: code-eval trust report; athina-evals trust report.

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