Home/Compare/athina-evals vs ARES

Comparison

athina-evals vs ARES

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 ARES if automated evaluation for RAG systems with API integrations like OpenAI.

Markdown twin · athina-evals alternatives · ARES alternatives

GraphCanon updated 3w

athina-evals logo

athina-evals

athina-ai/athina-evals

301pushed Jun 6, 2025
vs
ARES logo

ARES

stanford-futuredata/ARES

731pushed Mar 28, 2025

Trust & integrity

Signalathina-evalsARES
Maintenance
Dormant (417d since push)
As of 4w · github_public_v1
Dormant (491d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 4w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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

Tagline

athina-evals
Python SDK for evaluating LLM generated responses
ARES
Automated Evaluation of RAG Systems

Stars

athina-evals
301
ARES
731

Forks

athina-evals
22
ARES
67

Open issues

athina-evals
3
ARES
21

Language

athina-evals
Python
ARES
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.
ARES
Automated evaluation for RAG systems with API integrations like OpenAI.

Persona

athina-evals
-
ARES
-

Runtime

athina-evals
-
ARES
-

License

athina-evals
-
ARES
Apache-2.0

Last pushed

athina-evals
Jun 6, 2025
ARES
Mar 28, 2025

Categories

athina-evals
Evaluation & Observability
ARES
Evaluation & Observability

Trust and health

Days since push

athina-evals
417d
ARES
491d

Open issues (now)

athina-evals
3
ARES
21

OSV dependency advisories

athina-evals
No lockfile (source not queried)
ARES
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 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 ARES if…

  • Tags unique to ARES: automated scoring, human validation sets, python, rag evaluation.
  • Evaluating Retrieval-Augmented Generation (RAG) systems that require automatic scoring using human-annotated data and few-shot examples.
  • More GitHub stars (731 vs 301) - visibility, not fit.

When NOT to use ARES

  • Avoid if limited to non-GPU machines with less than ~100GB available disk space, as it encounters CUDA out-of-memory errors without compatible GPU setups.

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 · ARES 731 (synced Jul 28, 2026).

Common questions

What is the difference between athina-evals and ARES?
athina-evals: Python SDK for evaluating LLM generated responses. ARES: Automated Evaluation of RAG Systems. See the comparison table for live GitHub stats and shared categories.
When should I choose athina-evals over ARES?
Choose athina-evals over ARES 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 ARES over athina-evals?
Choose ARES over athina-evals when Tags unique to ARES: automated scoring, human validation sets, python, rag evaluation; Evaluating Retrieval-Augmented Generation (RAG) systems that require automatic scoring using human-annotated data and few-shot examples; More GitHub stars (731 vs 301) - visibility, not fit.
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 ARES?
Avoid if limited to non-GPU machines with less than ~100GB available disk space, as it encounters CUDA out-of-memory errors without compatible GPU setups.
Is athina-evals or ARES more popular on GitHub?
ARES has more GitHub stars (731 vs 301). Stars measure visibility, not whether either tool fits your constraints.
Are athina-evals and ARES open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to athina-evals or ARES?
GraphCanon lists graph-backed alternatives at athina-evals alternatives and ARES alternatives (athina-evals markdown twin, ARES 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 ARES?
athina-evals: Dormant. ARES: 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 ARES?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; ARES trust report.

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