Comparison
athina-evals vs ARES
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 ARES if aRES is a Python-based tool for automated evaluation of RAG systems, offering scoring and comparison functionalities.
Markdown twin · athina-evals alternatives · ARES alternatives
GraphCanon updated Sep 20, 2026
15views this month
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Trust & integrity
| Signal | athina-evals | ARES |
|---|---|---|
| Maintenance | Dormant (470d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (538d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · 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
- ARES
- Automated Evaluation of RAG Systems
Stars
- athina-evals
- 301
- ARES
- 733
Forks
- athina-evals
- 22
- ARES
- 67
Open issues
- athina-evals
- 4
- ARES
- 22
Language
- athina-evals
- Python
- ARES
- 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.
- ARES
- ARES is a Python-based tool for automated evaluation of RAG systems, offering scoring and comparison functionalities.
Persona
- athina-evals
- -
- ARES
- -
Runtime
- athina-evals
- -
- ARES
- -
License
- athina-evals
- -
- ARES
- Apache-2.0
Last pushed
- athina-evals
- Jun 6, 2025
- ARES
- Mar 28, 2025
Categories
- athina-evals
- Evaluation & Observability
- ARES
- Evaluation & Observability
Trust and health
Days since push
- athina-evals
- 470d
- ARES
- 538d
Open issues (now)
- athina-evals
- 4
- ARES
- 22
Stars delta
- athina-evals
- 0 (30d)
- ARES
- +2 (30d)
OSV dependency advisories
- athina-evals
- No lockfile (source not queried)
- ARES
- Published findings
Full report
- athina-evals
- Trust report
- ARES
- 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 recently updated (last pushed Jun 6, 2025).
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 ARES if…
- Requirements: Requires over 100 GB of available disk space and a compatible GPU like the A100.; Installation of conda and gcc is necessary for setup..
- Tags unique to ARES: api integration, automated evaluation, comparison, evaluation criteria.
- Use ARES when you need to evaluate RAG systems with specific criteria such as context relevance, answer faithfulness, and answer relevance.
When NOT to use ARES
- Do not use ARES if you lack the necessary human-annotated datasets for evaluation criteria or if you do not have a large set of unlabeled triples for scoring.
- Avoid ARES if your machine does not meet the requirements, such as having over 100 GB of available disk space and a compatible GPU like the A100.
- Do not use ARES if you cannot set up the required environment, including conda and gcc, on your machine.
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 Sep 20, 2026
- GitHub forks (athina-ai/athina-evals) · observed Sep 20, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (stanford-futuredata/ARES) · observed Sep 20, 2026
- GitHub forks (stanford-futuredata/ARES) · observed Sep 20, 2026
- Last push (stanford-futuredata/ARES) · observed Mar 28, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: athina-evals 301 · ARES 733 (synced Sep 20, 2026).
Common questions
- What is the difference between athina-evals and ARES?
- athina-evals: Python SDK for evaluating LLM generated responses. ARES: Automated Evaluation of RAG Systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over ARES?
- Choose athina-evals over ARES 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 recently updated (last pushed Jun 6, 2025).
- When should I choose ARES over athina-evals?
- Choose ARES over athina-evals when Requirements: Requires over 100 GB of available disk space and a compatible GPU like the A100.; Installation of conda and gcc is necessary for setup.; Tags unique to ARES: api integration, automated evaluation, comparison, evaluation criteria; Use ARES when you need to evaluate RAG systems with specific criteria such as context relevance, answer faithfulness, and answer relevance.
- 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 ARES?
- Do not use ARES if you lack the necessary human-annotated datasets for evaluation criteria or if you do not have a large set of unlabeled triples for scoring. Avoid ARES if your machine does not meet the requirements, such as having over 100 GB of available disk space and a compatible GPU like the A100. Do not use ARES if you cannot set up the required environment, including conda and gcc, on your machine.
- Is athina-evals or ARES more popular on GitHub?
- ARES has more GitHub stars (733 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and ARES open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or ARES?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and ARES alternatives (athina-evals 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, athina-evals or ARES?
- athina-evals: 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 athina-evals and ARES?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; ARES trust report.