Home/Compare/athina-evals vs HLCE

Comparison

athina-evals vs HLCE

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 HLCE if hLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes.

Markdown twin · athina-evals alternatives · HLCE alternatives

GraphCanon updated Sep 8, 2026

15views this month

athina-evals logo

athina-evals

athina-ai/athina-evals

301pushed Jun 6, 2025
vs
HLCE logo

HLCE

Humanity-s-Last-Code-Exam/HLCE

96pushed Aug 21, 2025

Trust & integrity

Signalathina-evalsHLCE
Maintenance
Dormant (447d since push)
As of Aug 28, 2026 · github_public_v1
Dormant (383d since push)
As of Sep 8, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 28, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 8, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
Published findings
As of Jul 15, 2026 · 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
HLCE
Source Evaluation scripts for Humanity's Last Code Exam

Stars

athina-evals
301
HLCE
96

Forks

athina-evals
23
HLCE
8

Open issues

athina-evals
5
HLCE
1

Language

athina-evals
Python
HLCE
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.
HLCE
HLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes.

Persona

athina-evals
-
HLCE
-

Runtime

athina-evals
-
HLCE
-

License

athina-evals
-
HLCE
-

Last pushed

athina-evals
Jun 6, 2025
HLCE
Aug 21, 2025

Categories

athina-evals
Evaluation & Observability
HLCE
Evaluation & Observability, LLM Frameworks

Trust and health

Days since push

athina-evals
447d
HLCE
383d

Open issues (now)

athina-evals
5
HLCE
1

Open issues delta

athina-evals
+2 (30d)
HLCE
0 (30d)

OSV dependency advisories

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

Full report

athina-evals
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 GitHub stars (301 vs 96) - visibility, not fit.

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 HLCE if…

  • Tags unique to HLCE: benchmark, codegen, codellm.
  • Also covers LLM Frameworks.
  • When you are researching the capabilities of language models in generating code and need benchmarking tools that focus on this aspect exclusively.

When NOT to use HLCE

  • If you require tools that cater to general-purpose evaluation beyond the scope of LLM code generation in a research context.
  • When proprietary or non-research licenses are necessary, since HLCE does not detail its licensing beyond being for research purposes only.

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 · HLCE 96 (synced Aug 28, 2026).

Common questions

What is the difference between athina-evals and HLCE?
athina-evals: Python SDK for evaluating LLM generated responses. HLCE: Source Evaluation scripts for Humanity's Last Code Exam. See the comparison table for live GitHub stats and shared categories.
When should I choose athina-evals over HLCE?
Choose athina-evals over HLCE 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 GitHub stars (301 vs 96) - visibility, not fit.
When should I choose HLCE over athina-evals?
Choose HLCE over athina-evals when Tags unique to HLCE: benchmark, codegen, codellm; Also covers LLM Frameworks; When you are researching the capabilities of language models in generating code and need benchmarking tools that focus on this aspect exclusively.
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 HLCE?
If you require tools that cater to general-purpose evaluation beyond the scope of LLM code generation in a research context. When proprietary or non-research licenses are necessary, since HLCE does not detail its licensing beyond being for research purposes only.
Is athina-evals or HLCE more popular on GitHub?
athina-evals has more GitHub stars (301 vs 96). Stars measure visibility, not whether either tool fits your constraints.
Are athina-evals and HLCE open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to athina-evals or HLCE?
GraphCanon lists graph-backed alternatives at athina-evals alternatives and HLCE alternatives (athina-evals markdown twin, HLCE 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 HLCE?
athina-evals: Dormant. HLCE: 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 HLCE?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; HLCE trust report.

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