Comparison
athina-evals vs ACLUE
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 ACLUE if aCLUE is an evaluation benchmark for testing how well large language models understand ancient Chinese texts covering syntax, semantics, reasoning, and knowledge.
Markdown twin · athina-evals alternatives · ACLUE alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | athina-evals | ACLUE |
|---|---|---|
| Maintenance | Dormant (417d since push) As of 3w · github_public_v1 | Dormant (868d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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 | 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
- ACLUE
- Evaluation Benchmark for Ancient Chinese Language Comprehension
Stars
- athina-evals
- 301
- ACLUE
- 34
Forks
- athina-evals
- 22
- ACLUE
- 0
Open issues
- athina-evals
- 3
- ACLUE
- 0
Language
- athina-evals
- Python
- ACLUE
- 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.
- ACLUE
- ACLUE is an evaluation benchmark for testing how well large language models understand ancient Chinese texts covering syntax, semantics, reasoning, and knowledge.
Persona
- athina-evals
- -
- ACLUE
- -
Runtime
- athina-evals
- -
- ACLUE
- -
License
- athina-evals
- -
- ACLUE
- MIT License: Permissive open-source license allowing free use and modification of the software, including commercially.
Last pushed
- athina-evals
- Jun 6, 2025
- ACLUE
- Mar 20, 2024
Categories
- athina-evals
- Evaluation & Observability
- ACLUE
- Evaluation & Observability
Trust and health
Days since push
- athina-evals
- 417d
- ACLUE
- 868d
Open issues (now)
- athina-evals
- 3
- ACLUE
- 0
Owner type
- athina-evals
- Organization
- ACLUE
- User
Full report
- athina-evals
- Trust report
- ACLUE
- 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 GitHub stars (301 vs 34) - visibility, not fit.
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 ACLUE if…
- 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
- Leaner open-issue backlog (0).
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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (athina-ai/athina-evals) · observed Jul 28, 2026
- GitHub forks (athina-ai/athina-evals) · observed Jul 28, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (isen-zhang/ACLUE) · observed Aug 6, 2026
- GitHub forks (isen-zhang/ACLUE) · observed Aug 6, 2026
- Last push (isen-zhang/ACLUE) · observed Mar 20, 2024
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: athina-evals 301 · ACLUE 34 (synced Jul 28, 2026).
Common questions
- What is the difference between athina-evals and ACLUE?
- athina-evals: Python SDK for evaluating LLM generated responses. ACLUE: Evaluation Benchmark for Ancient Chinese Language Comprehension. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over ACLUE?
- Choose athina-evals over ACLUE 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 GitHub stars (301 vs 34) - visibility, not fit.
- When should I choose ACLUE over athina-evals?
- Choose ACLUE over athina-evals when 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; Leaner open-issue backlog (0).
- 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 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
- Is athina-evals or ACLUE more popular on GitHub?
- athina-evals has more GitHub stars (301 vs 34). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and ACLUE open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or ACLUE?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and ACLUE alternatives (athina-evals markdown twin, ACLUE 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 ACLUE?
- athina-evals: Dormant. ACLUE: 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 ACLUE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; ACLUE trust report.