Comparison
deepeval vs langfair
Verdict
Pick deepeval if deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies; 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 · deepeval alternatives · langfair alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | deepeval | langfair |
|---|---|---|
| Maintenance | Very active (1d 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
- deepeval
- LLM Evaluation Framework.
- langfair
- LangFair: Use-Case Level LLM Bias and Fairness Assessments
Stars
- deepeval
- 17k
- langfair
- 261
Forks
- deepeval
- 1.7k
- langfair
- 47
Open issues
- deepeval
- 404
- langfair
- 25
Language
- deepeval
- Python
- langfair
- Python
Adopt for
- deepeval
- Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies.
- langfair
- LangFair is a Python library designed for assessing bias and fairness in large language model (LLM) use cases using user-specific prompts.
Persona
- deepeval
- -
- langfair
- -
Runtime
- deepeval
- -
- langfair
- -
License
- deepeval
- Apache-2.0 License
- langfair
- Other
Last pushed
- deepeval
- Jul 27, 2026
- langfair
- Jun 29, 2026
Categories
- deepeval
- Evaluation & Observability
- langfair
- Evaluation & Observability
Trust and health
Maintenance
- deepeval
- Very active (96%)
- langfair
- Steady (60%)
Days since push
- deepeval
- 1d
- langfair
- 39d
Open issues (now)
- deepeval
- 404
- langfair
- 25
Full report
- deepeval
- Trust report
- langfair
- Trust report
Shared compatibility
- Python · deepeval: Python runtime · langfair: Python runtime
Choose deepeval if…
- License: deepeval is Apache-2.0, langfair is Other.
- Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities..
- Tags unique to deepeval: evaluation, metrics.
- When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
When NOT to use deepeval
- For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill.
- In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis.
Choose langfair if…
- License: langfair is Other, deepeval is Apache-2.0.
- 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.
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 (confident-ai/deepeval) · observed Jul 28, 2026
- GitHub forks (confident-ai/deepeval) · observed Jul 28, 2026
- Last push (confident-ai/deepeval) · observed Jul 27, 2026
- License file (Apache-2.0) · 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: deepeval 17k · langfair 261 (synced Jul 28, 2026).
Common questions
- What is the difference between deepeval and langfair?
- deepeval: LLM Evaluation Framework.. 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 deepeval over langfair?
- Choose deepeval over langfair when License: deepeval is Apache-2.0, langfair is Other; Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: evaluation, metrics; When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics.
- When should I choose langfair over deepeval?
- Choose langfair over deepeval when License: langfair is Other, deepeval is Apache-2.0; 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.
- When should I avoid deepeval?
- For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill. In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis.
- 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 deepeval or langfair more popular on GitHub?
- deepeval has more GitHub stars (17,226 vs 261). Stars measure visibility, not whether either tool fits your constraints.
- Are deepeval and langfair open source?
- Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, langfair: Other).
- Where can I find alternatives to deepeval or langfair?
- GraphCanon lists graph-backed alternatives at deepeval alternatives and langfair alternatives (deepeval 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, deepeval or langfair?
- deepeval: Very active. 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 deepeval and langfair?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; langfair trust report.