Home/Compare/athina-evals vs auto-evaluator

Comparison

athina-evals vs auto-evaluator

Verdict

Pick athina-evals when athina-evals is primarily Python; auto-evaluator is TypeScript; pick auto-evaluator when auto-evaluator is primarily TypeScript; athina-evals is Python.

Markdown twin · athina-evals alternatives · auto-evaluator alternatives

GraphCanon updated 1w

athina-evals logo

athina-evals

athina-ai/athina-evals

301pushed Jun 6, 2025
vs
auto-evaluator logo

auto-evaluator

langchain-ai/auto-evaluator

783pushed Jun 26, 2025

Trust & integrity

Signalathina-evalsauto-evaluator
Maintenance
Dormant (417d since push)
As of 3w · github_public_v1
Archived (408d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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

athina-evals
Python SDK for evaluating LLM generated responses
auto-evaluator
auto-evaluator

Stars

athina-evals
301
auto-evaluator
783

Forks

athina-evals
22
auto-evaluator
102

Open issues

athina-evals
3
auto-evaluator
21

Language

athina-evals
Python
auto-evaluator
TypeScript

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.
auto-evaluator
-

Persona

athina-evals
-
auto-evaluator
-

Runtime

athina-evals
-
auto-evaluator
-

License

athina-evals
-
auto-evaluator
Other

Last pushed

athina-evals
Jun 6, 2025
auto-evaluator
Jun 26, 2025

Categories

athina-evals
Evaluation & Observability
auto-evaluator
Evaluation & Observability

Trust and health

Maintenance

athina-evals
Dormant (18%)
auto-evaluator
Archived (8%)

Days since push

athina-evals
417d
auto-evaluator
408d

Archived on GitHub

athina-evals
No
auto-evaluator
Yes

Open issues (now)

athina-evals
3
auto-evaluator
21

Full report

athina-evals
Trust report
auto-evaluator
Trust report

Choose athina-evals if…

  • athina-evals is primarily Python; auto-evaluator is TypeScript.
  • 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

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 auto-evaluator if…

  • auto-evaluator is primarily TypeScript; athina-evals is Python.
  • Tags unique to auto-evaluator: auto-evaluation, railway, typescript, vercel.
  • Use auto-evaluator when you are working with TypeScript and need an integrated solution for evaluating AI models

When NOT to use auto-evaluator

  • Avoid using auto-evaluator if you require a multi-language support environment, as it focuses solely on TypeScript
  • Do not use this tool if your project's hosting requirements do not align with using Vercel or Railway

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 · auto-evaluator 783 (synced Jul 28, 2026).

Common questions

What is the difference between athina-evals and auto-evaluator?
athina-evals: Python SDK for evaluating LLM generated responses. auto-evaluator: auto-evaluator. See the comparison table for live GitHub stats and shared categories.
When should I choose athina-evals over auto-evaluator?
Choose athina-evals over auto-evaluator when athina-evals is primarily Python; auto-evaluator is TypeScript; 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.
When should I choose auto-evaluator over athina-evals?
Choose auto-evaluator over athina-evals when auto-evaluator is primarily TypeScript; athina-evals is Python; Tags unique to auto-evaluator: auto-evaluation, railway, typescript, vercel; Use auto-evaluator when you are working with TypeScript and need an integrated solution for evaluating AI 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 auto-evaluator?
Avoid using auto-evaluator if you require a multi-language support environment, as it focuses solely on TypeScript Do not use this tool if your project's hosting requirements do not align with using Vercel or Railway
Is athina-evals or auto-evaluator more popular on GitHub?
auto-evaluator has more GitHub stars (783 vs 301). Stars measure visibility, not whether either tool fits your constraints.
Are athina-evals and auto-evaluator open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to athina-evals or auto-evaluator?
GraphCanon lists graph-backed alternatives at athina-evals alternatives and auto-evaluator alternatives (athina-evals markdown twin, auto-evaluator 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 auto-evaluator?
athina-evals: Dormant. auto-evaluator: Archived. 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 auto-evaluator?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; auto-evaluator trust report.

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