Home/Compare/athina-evals vs human-eval

Comparison

athina-evals vs human-eval

Verdict

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; 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 · athina-evals alternatives · human-eval alternatives

GraphCanon updated 2w

athina-evals logo

athina-evals

athina-ai/athina-evals

301pushed Jun 6, 2025
vs
human-eval logo

human-eval

openai/human-eval

3.3kpushed Jan 17, 2025

Trust & integrity

Signalathina-evalshuman-eval
Maintenance
Dormant (417d since push)
As of 3w · github_public_v1
Dormant (564d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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

Tagline

athina-evals
Python SDK for evaluating LLM generated responses
human-eval
Evaluating Large Language Models Trained on Code

Stars

athina-evals
301
human-eval
3.3k

Forks

athina-evals
22
human-eval
452

Open issues

athina-evals
3
human-eval
44

Language

athina-evals
Python
human-eval
Python

Adopt for

athina-evals
athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.
human-eval
human-eval is a tool designed for evaluating large language models trained specifically on code through human-written tests.

Persona

athina-evals
-
human-eval
-

Runtime

athina-evals
-
human-eval
-

License

athina-evals
-
human-eval
MIT

Last pushed

athina-evals
Jun 6, 2025
human-eval
Jan 17, 2025

Categories

athina-evals
Evaluation & Observability
human-eval
Evaluation & Observability

Trust and health

Days since push

athina-evals
417d
human-eval
564d

Open issues (now)

athina-evals
3
human-eval
44

OSV dependency advisories

athina-evals
No lockfile (source not queried)
human-eval
No published findings from this source as of 2026-07-11

Full report

athina-evals
Trust report
human-eval
Trust report

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

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.

Explore

Sources

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

GitHub stars on cards: athina-evals 301 · human-eval 3.3k (synced Jul 28, 2026).

Common questions

What is the difference between athina-evals and human-eval?
athina-evals: Python SDK for evaluating LLM generated responses. human-eval: Evaluating Large Language Models Trained on Code. See the comparison table for live GitHub stats and shared categories.
When should I choose athina-evals over human-eval?
Choose athina-evals over human-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 choose human-eval over athina-evals?
Choose human-eval over athina-evals 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 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
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 athina-evals or human-eval more popular on GitHub?
human-eval has more GitHub stars (3,331 vs 301). Stars measure visibility, not whether either tool fits your constraints.
Are athina-evals and human-eval open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to athina-evals or human-eval?
GraphCanon lists graph-backed alternatives at athina-evals alternatives and human-eval alternatives (athina-evals 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, athina-evals or human-eval?
athina-evals: 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 athina-evals and human-eval?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; human-eval trust report.

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