Home/Compare/ACLUE vs ARES

Comparison

ACLUE vs ARES

Verdict

Pick ACLUE if aCLUE is an evaluation benchmark for testing how well large language models understand ancient Chinese texts covering syntax, semantics, reasoning, and knowledge; pick ARES if automated evaluation for RAG systems with API integrations like OpenAI.

Markdown twin · ACLUE alternatives · ARES alternatives

GraphCanon updated 2w

ACLUE logo

ACLUE

isen-zhang/ACLUE

34pushed Mar 20, 2024
vs
ARES logo

ARES

stanford-futuredata/ARES

731pushed Mar 28, 2025

Trust & integrity

SignalACLUEARES
Maintenance
Dormant (868d since push)
As of 2w · github_public_v1
Dormant (491d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · 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

ACLUE
Evaluation Benchmark for Ancient Chinese Language Comprehension
ARES
Automated Evaluation of RAG Systems

Stars

ACLUE
34
ARES
731

Forks

ACLUE
0
ARES
67

Open issues

ACLUE
0
ARES
21

Language

ACLUE
Python
ARES
Python

Adopt for

ACLUE
ACLUE is an evaluation benchmark for testing how well large language models understand ancient Chinese texts covering syntax, semantics, reasoning, and knowledge.
ARES
Automated evaluation for RAG systems with API integrations like OpenAI.

Persona

ACLUE
-
ARES
-

Runtime

ACLUE
-
ARES
-

License

ACLUE
MIT License: Permissive open-source license allowing free use and modification of the software, including commercially.
ARES
Apache-2.0

Last pushed

ACLUE
Mar 20, 2024
ARES
Mar 28, 2025

Categories

ACLUE
Evaluation & Observability
ARES
Evaluation & Observability

Trust and health

Days since push

ACLUE
868d
ARES
491d

Open issues (now)

ACLUE
0
ARES
21

Owner type

ACLUE
User
ARES
Organization

OSV dependency advisories

ACLUE
No lockfile (source not queried)
ARES
Published findings

Full report

Choose ACLUE if…

  • License: ACLUE is MIT, ARES is Apache-2.0.
  • Tags unique to ACLUE: ancient texts, chinese language, language models evaluation, nlp benchmarks.
  • When evaluating the performance of LLMs specifically on comprehending ancient Chinese language across 15 tasks

When NOT to use ACLUE

  • For benchmarking modern Chinese or other languages not related to ancient Chinese comprehension
  • When the focus is strictly on contemporary texts without a need for historical language understanding capabilities

Choose ARES if…

  • License: ARES is Apache-2.0, ACLUE is MIT.
  • 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.

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: ACLUE 34 · ARES 731 (synced Aug 6, 2026).

Common questions

What is the difference between ACLUE and ARES?
ACLUE: Evaluation Benchmark for Ancient Chinese Language Comprehension. ARES: Automated Evaluation of RAG Systems. See the comparison table for live GitHub stats and shared categories.
When should I choose ACLUE over ARES?
Choose ACLUE over ARES when License: ACLUE is MIT, ARES is Apache-2.0; Tags unique to ACLUE: ancient texts, chinese language, language models evaluation, nlp benchmarks; When evaluating the performance of LLMs specifically on comprehending ancient Chinese language across 15 tasks.
When should I choose ARES over ACLUE?
Choose ARES over ACLUE when License: ARES is Apache-2.0, ACLUE is MIT; 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.
When should I avoid ACLUE?
For benchmarking modern Chinese or other languages not related to ancient Chinese comprehension When the focus is strictly on contemporary texts without a need for historical language understanding capabilities
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 ACLUE or ARES more popular on GitHub?
ARES has more GitHub stars (731 vs 34). Stars measure visibility, not whether either tool fits your constraints.
Are ACLUE and ARES open source?
Yes - both are open-source projects on GitHub (ACLUE: MIT, ARES: Apache-2.0).
Where can I find alternatives to ACLUE or ARES?
GraphCanon lists graph-backed alternatives at ACLUE alternatives and ARES alternatives (ACLUE 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, ACLUE or ARES?
ACLUE: 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 ACLUE and ARES?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ACLUE trust report; ARES trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.