LangFair
Python library for conducting use-case-specific LLM bias and fairness assessments
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is LangFair?
LangFair is a Python library designed to help developers conduct specific bias and fairness assessments on large language models, ensuring that AI systems are equitable and unbiased.
Key differentiator
“LangFair stands out by offering specialized tools for conducting detailed fairness and bias assessments on large language models, ensuring that AI systems are equitable and transparent.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary development and maintenance focus is on Python, with no official support for other languages
GitHub issues often take weeks to receive a response from maintainers
Fit analysis
Who is it for?
✓ Best for
Teams developing AI applications that require rigorous fairness and bias assessments
Data science teams looking to ensure their models are unbiased across different demographics
Organizations needing compliance with regulatory requirements for model transparency
✕ Not a fit for
Projects requiring real-time bias assessment due to its local execution nature
Teams without Python expertise, as it is a Python-specific library
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with LangFair
Step-by-step setup guide with code examples and common gotchas.