Home/Compare/apps vs auto-evaluator

Comparison

apps vs auto-evaluator

Verdict

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

Markdown twin · apps alternatives · auto-evaluator alternatives

GraphCanon updated 2w

apps logo

apps

hendrycks/apps

534pushed Jun 19, 2024
vs
auto-evaluator logo

auto-evaluator

langchain-ai/auto-evaluator

783pushed Jun 26, 2025

Trust & integrity

Signalappsauto-evaluator
Maintenance
Dormant (777d since push)
As of 2w · github_public_v1
Archived (408d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
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

apps
APPS: Automated Programming Progress Standard
auto-evaluator
auto-evaluator

Stars

apps
534
auto-evaluator
783

Forks

apps
70
auto-evaluator
102

Open issues

apps
4
auto-evaluator
21

Language

apps
Python
auto-evaluator
TypeScript

Adopt for

apps
APPS offers a benchmark to evaluate the competence of large language models on coding challenges using its datasets.
auto-evaluator
-

Persona

apps
-
auto-evaluator
-

Runtime

apps
-
auto-evaluator
-

License

apps
MIT
auto-evaluator
Other

Last pushed

apps
Jun 19, 2024
auto-evaluator
Jun 26, 2025

Categories

apps
Data & Retrieval, Evaluation & Observability
auto-evaluator
Evaluation & Observability

Trust and health

Maintenance

apps
Dormant (18%)
auto-evaluator
Archived (8%)

Days since push

apps
777d
auto-evaluator
408d

Archived on GitHub

apps
No
auto-evaluator
Yes

Open issues (now)

apps
4
auto-evaluator
21

Owner type

apps
User
auto-evaluator
Organization

OSV dependency advisories

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

Full report

auto-evaluator
Trust report

Choose apps if…

  • apps is primarily Python; auto-evaluator is TypeScript.
  • License: apps is MIT, auto-evaluator is Other.
  • Tags unique to apps: code generation, program-synthesis.
  • Also covers Data & Retrieval.
  • When you need benchmarking datasets specifically tailored for assessing the performance of your AI in solving programming tasks

When NOT to use apps

  • If you solely require general datasets without a focus on coding challenges
  • When your use case does not involve using Python-based tools for developing machine learning applications that include program synthesis and code generation

Choose auto-evaluator if…

  • auto-evaluator is primarily TypeScript; apps is Python.
  • License: auto-evaluator is Other, apps is MIT.
  • 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: apps 534 · auto-evaluator 783 (synced Aug 5, 2026).

Common questions

What is the difference between apps and auto-evaluator?
apps: APPS: Automated Programming Progress Standard. auto-evaluator: auto-evaluator. See the comparison table for live GitHub stats and shared categories.
When should I choose apps over auto-evaluator?
Choose apps over auto-evaluator when apps is primarily Python; auto-evaluator is TypeScript; License: apps is MIT, auto-evaluator is Other; Tags unique to apps: code generation, program-synthesis; Also covers Data & Retrieval; When you need benchmarking datasets specifically tailored for assessing the performance of your AI in solving programming tasks.
When should I choose auto-evaluator over apps?
Choose auto-evaluator over apps when auto-evaluator is primarily TypeScript; apps is Python; License: auto-evaluator is Other, apps is MIT; 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 apps?
If you solely require general datasets without a focus on coding challenges When your use case does not involve using Python-based tools for developing machine learning applications that include program synthesis and code generation
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 apps or auto-evaluator more popular on GitHub?
auto-evaluator has more GitHub stars (783 vs 534). Stars measure visibility, not whether either tool fits your constraints.
Are apps and auto-evaluator open source?
Yes - both are open-source projects on GitHub (apps: MIT, auto-evaluator: Other).
Where can I find alternatives to apps or auto-evaluator?
GraphCanon lists graph-backed alternatives at apps alternatives and auto-evaluator alternatives (apps 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, apps or auto-evaluator?
apps: 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 apps and auto-evaluator?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: apps trust report; auto-evaluator trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.