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Comparison

evals vs auto-evaluator

Verdict

Pick evals if evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations; pick auto-evaluator if auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers.

Markdown twin · evals alternatives · auto-evaluator alternatives

GraphCanon updated 2w

evals logo

evals

openai/evals

★ 19kpushed Apr 14, 2026
vs
auto-evaluator logo

auto-evaluator

rlancemartin/auto-evaluator

★ 1.1kpushed May 10, 2023

Trust & integrity

Signalevalsauto-evaluator
Maintenance
Slowing (115d since push)
As of 2w · github_public_v1
Dormant (1186d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Personal account
As of 2w · 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
evals trust reportauto-evaluator trust reportTrust methodology

Tagline

evals
Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.
auto-evaluator
A lightweight evaluation tool for question-answering using Langchain

Stars

evals
19k
auto-evaluator
1.1k

Forks

evals
3.0k
auto-evaluator
92

Open issues

evals
213
auto-evaluator
3

Language

evals
Python
auto-evaluator
Python

Adopt for

evals
Evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations.
auto-evaluator
Auto-evaluator is a Python-based tool designed for evaluating LLM QA chains with the capability to auto-generate question-answer pairs from user-provided documents and evaluate answers using configurations chosen via UI.

Persona

evals
-
auto-evaluator
-

Runtime

evals
-
auto-evaluator
-

License

evals
Other
auto-evaluator
-

Last pushed

evals
Apr 14, 2026
auto-evaluator
May 10, 2023

Categories

evals
Evaluation & Observability
auto-evaluator
Evaluation & Observability

Trust and health

Maintenance

evals
Slowing (36%)
auto-evaluator
Dormant (18%)

Days since push

evals
115d
auto-evaluator
1186d

Open issues (now)

evals
213
auto-evaluator
3

Owner type

evals
Organization
auto-evaluator
User

OSV dependency advisories

evals
No lockfile (source not queried)
auto-evaluator
Published findings

Full report

evals
Trust report
auto-evaluator
Trust report

Shared compatibility

  • OpenAI API · evals: OpenAI API · auto-evaluator: OpenAI API
  • Python · evals: Python runtime · auto-evaluator: Python runtime

Choose evals if…

  • Tags unique to evals: benchmarking, custom eval creation, evaluation-framework, large language models.
  • * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem.
  • More GitHub stars (19k vs 1.1k) - visibility, not fit.

When NOT to use evals

  • * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key.
  • * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a
GitHubDetails

Choose auto-evaluator if…

  • Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm.
  • Use when you need a lightweight solution for testing question-answering capabilities of Langchain models.
  • Leaner open-issue backlog (3).

When NOT to use auto-evaluator

  • Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings.
  • If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
GitHubDetails

Explore

evals trust report →auto-evaluator trust report →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: evals 19k · auto-evaluator 1.1k (synced Aug 7, 2026).

Common questions

What is the difference between evals and auto-evaluator?
evals: Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.. auto-evaluator: A lightweight evaluation tool for question-answering using Langchain. See the comparison table for live GitHub stats and shared categories.
When should I choose evals over auto-evaluator?
Choose evals over auto-evaluator when Tags unique to evals: benchmarking, custom eval creation, evaluation-framework, large language models; * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem; More GitHub stars (19k vs 1.1k) - visibility, not fit.
When should I choose auto-evaluator over evals?
Choose auto-evaluator over evals when Tags unique to auto-evaluator: evaluation, gpt-3.5-turbo, langchain, llm; Use when you need a lightweight solution for testing question-answering capabilities of Langchain models; Leaner open-issue backlog (3).
When should I avoid evals?
* When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a
When should I avoid auto-evaluator?
Avoid using this tool when you do not have access to an OpenAI API key providing access to GPT-4, as it uses that by default for optimal settings. If you are looking for a tool that does not require you to input documents for question generation and prefer a more customized prompt approach rather than the auto-generation feature.
Is evals or auto-evaluator more popular on GitHub?
evals has more GitHub stars (19,127 vs 1,105). Stars measure visibility, not whether either tool fits your constraints.
Are evals and auto-evaluator open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to evals or auto-evaluator?
GraphCanon lists graph-backed alternatives at evals alternatives and auto-evaluator alternatives (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, evals or auto-evaluator?
evals: Slowing. auto-evaluator: 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 evals and auto-evaluator?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evals trust report; auto-evaluator trust report.

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