Comparison
athina-evals vs langfair
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 langfair if langFair is a Python library designed for assessing bias and fairness in large language model (LLM) use cases using user-specific prompts.
Markdown twin · athina-evals alternatives · langfair alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | athina-evals | langfair |
|---|---|---|
| Maintenance | Dormant (417d since push) As of 4w · github_public_v1 | Steady (39d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization 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
- langfair
- LangFair: Use-Case Level LLM Bias and Fairness Assessments
Stars
- athina-evals
- 301
- langfair
- 261
Forks
- athina-evals
- 22
- langfair
- 47
Open issues
- athina-evals
- 3
- langfair
- 25
Language
- athina-evals
- Python
- langfair
- 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.
- langfair
- LangFair is a Python library designed for assessing bias and fairness in large language model (LLM) use cases using user-specific prompts.
Persona
- athina-evals
- -
- langfair
- -
Runtime
- athina-evals
- -
- langfair
- -
License
- athina-evals
- -
- langfair
- Other
Last pushed
- athina-evals
- Jun 6, 2025
- langfair
- Jun 29, 2026
Categories
- athina-evals
- Evaluation & Observability
- langfair
- Evaluation & Observability
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- langfair
- Steady (60%)
Days since push
- athina-evals
- 417d
- langfair
- 39d
Open issues (now)
- athina-evals
- 3
- langfair
- 25
Full report
- athina-evals
- Trust report
- langfair
- 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 261) - 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 langfair if…
- Tags unique to langfair: ai safety, bias-detection, ethical ai, fairness-ml.
- - You need to conduct bias and fairness assessments specific to the application domain of your LLM.
- More recently updated (last pushed Jun 29, 2026).
When NOT to use langfair
- - If you require access to internal model states for your evaluations, as LangFair focuses on output-based metrics instead.
- - You are looking for a static benchmark assessment that does not consider use-case-specific prompts, preferring generalized metrics over tailored evaluations.
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 (cvs-health/langfair) · observed Aug 8, 2026
- GitHub forks (cvs-health/langfair) · observed Aug 8, 2026
- Last push (cvs-health/langfair) · observed Jun 29, 2026
- License file (Other) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: athina-evals 301 · langfair 261 (synced Jul 28, 2026).
Common questions
- What is the difference between athina-evals and langfair?
- athina-evals: Python SDK for evaluating LLM generated responses. langfair: LangFair: Use-Case Level LLM Bias and Fairness Assessments. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over langfair?
- Choose athina-evals over langfair 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 261) - visibility, not fit.
- When should I choose langfair over athina-evals?
- Choose langfair over athina-evals when Tags unique to langfair: ai safety, bias-detection, ethical ai, fairness-ml; - You need to conduct bias and fairness assessments specific to the application domain of your LLM; More recently updated (last pushed Jun 29, 2026).
- 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 langfair?
- - If you require access to internal model states for your evaluations, as LangFair focuses on output-based metrics instead. - You are looking for a static benchmark assessment that does not consider use-case-specific prompts, preferring generalized metrics over tailored evaluations.
- Is athina-evals or langfair more popular on GitHub?
- athina-evals has more GitHub stars (301 vs 261). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and langfair open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or langfair?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and langfair alternatives (athina-evals markdown twin, langfair 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 langfair?
- athina-evals: Dormant. langfair: Steady. 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 langfair?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; langfair trust report.