Comparison
athina-evals vs qa_metrics
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 qa_metrics if qa_metrics is a Python library for evaluating LLMs using standardized QA and semantic metrics, including support for Black-box and open-source models along with APIs from OpenAI and Anthropic.
Markdown twin · athina-evals alternatives · qa_metrics alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | athina-evals | qa_metrics |
|---|---|---|
| Maintenance | Dormant (470d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (417d since push) As of Sep 9, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 9, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- qa_metrics
- A Python package for basic QA evaluations of large language models.
Stars
- athina-evals
- 301
- qa_metrics
- 64
Forks
- athina-evals
- 22
- qa_metrics
- 6
Open issues
- athina-evals
- 4
- qa_metrics
- 0
Language
- athina-evals
- Python
- qa_metrics
- 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.
- qa_metrics
- qa_metrics is a Python library for evaluating LLMs using standardized QA and semantic metrics, including support for Black-box and open-source models along with APIs from OpenAI and Anthropic.
Persona
- athina-evals
- -
- qa_metrics
- -
Runtime
- athina-evals
- -
- qa_metrics
- -
License
- athina-evals
- -
- qa_metrics
- MIT License allows for free use and distribution with attribution required by retaining the copyright notice and license text in any redistribution.
Last pushed
- athina-evals
- Jun 6, 2025
- qa_metrics
- Jul 18, 2025
Categories
- athina-evals
- Evaluation & Observability
- qa_metrics
- Evaluation & Observability
Trust and health
Days since push
- athina-evals
- 470d
- qa_metrics
- 417d
Open issues (now)
- athina-evals
- 4
- qa_metrics
- 0
Stars delta
- athina-evals
- 0 (30d)
- qa_metrics
- +2 (30d)
Open issues delta
- athina-evals
- +1 (30d)
- qa_metrics
- 0 (30d)
Owner type
- athina-evals
- Organization
- qa_metrics
- User
Full report
- athina-evals
- Trust report
- qa_metrics
- 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 64) - 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 qa_metrics if…
- Tags unique to qa_metrics: exact-matching, qa-automation-test.
- When you need to evaluate the performance of large language models with built-in standardized metrics like exact match and F1 Score.
- More recently updated (last pushed Jul 18, 2025).
When NOT to use qa_metrics
- Avoid if you seek advanced customization or fine-tuning options not present in qa_metrics for metric calculation methods beyond its provided set.
- Not ideal when needing specific evaluation tools that are not Black-box or open-source models, as the package focuses on these types of evaluations primarily.
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 (zli12321/qa_metrics) · observed Sep 20, 2026
- GitHub forks (zli12321/qa_metrics) · observed Sep 20, 2026
- Last push (zli12321/qa_metrics) · observed Jul 18, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: athina-evals 301 · qa_metrics 64 (synced Sep 20, 2026).
Common questions
- What is the difference between athina-evals and qa_metrics?
- athina-evals: Python SDK for evaluating LLM generated responses. qa_metrics: A Python package for basic QA evaluations of large language models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over qa_metrics?
- Choose athina-evals over qa_metrics 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 64) - visibility, not fit.
- When should I choose qa_metrics over athina-evals?
- Choose qa_metrics over athina-evals when Tags unique to qa_metrics: exact-matching, qa-automation-test; When you need to evaluate the performance of large language models with built-in standardized metrics like exact match and F1 Score; More recently updated (last pushed Jul 18, 2025).
- 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 qa_metrics?
- Avoid if you seek advanced customization or fine-tuning options not present in qa_metrics for metric calculation methods beyond its provided set. Not ideal when needing specific evaluation tools that are not Black-box or open-source models, as the package focuses on these types of evaluations primarily.
- Is athina-evals or qa_metrics more popular on GitHub?
- athina-evals has more GitHub stars (301 vs 64). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and qa_metrics open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or qa_metrics?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and qa_metrics alternatives (athina-evals markdown twin, qa_metrics 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 qa_metrics?
- athina-evals: Dormant. qa_metrics: 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 qa_metrics?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; qa_metrics trust report.