Evaluation & Testing

LangFair

Python library for conducting use-case-specific LLM bias and fairness assessments

Status
Generally available
Last checked
Checked · Oct 11, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

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.

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.

When it fits — and when it doesn’t

A good fit 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

Look elsewhere if

  • Projects requiring real-time bias assessment due to its local execution nature

  • Teams without Python expertise, as it is a Python-specific library

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Small community and slow response to issues

    GitHub issues often take weeks to receive a response from maintainers

What it does well

  • Conducts use-case-specific bias and fairness assessments on LLMs

  • Provides tools for evaluating model outputs against predefined criteria

  • Supports integration with various Python-based ML frameworks

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up LangFair

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →