Enterprise DNAEnterprise DNA

Open Source

LangFair

LangFair is a Python library for conducting use-case level LLM bias and fairness assessments

Our verdict

Not reviewed yet

We have not reviewed LangFair yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About LangFair

LangFair is a Python library for conducting use-case level bias and fairness assessments on large language model outputs. It provides metrics and tests to evaluate demographic parity, equalized odds, and other fairness criteria for specific applications.

Best for

Developers and researchers who need to evaluate and mitigate bias in LLM-based applications at the use-case level.

Use cases

  • Auditing LLM outputs for demographic bias in classification tasks
  • Comparing fairness metrics across different model versions or prompts
  • Integrating bias checks into LLM evaluation pipelines

Notes

258 stars on GitHub. Last updated 2026-01-09.

Pros

  • Open source and free to use with a permissive license
  • Focused on use-case level assessment, not just aggregate metrics
  • Python-native, easy to integrate into existing ML workflows

Cons

  • Small community (258 stars) may mean limited support and documentation
  • Requires manual setup and configuration for each use case
  • Only supports Python, limiting use in polyglot environments

Key facts

What we have checked

Days since the last commit
55
Checked GitHub
GitHub forks
50
Checked GitHub
GitHub stars
261
Checked GitHub
Days to a first reply on issues
62.1
Checked GitHub
Open issues
16
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How LangFair is growing

GitHub stars

258 to 261

stars. 12 July 2026 to 6 Nov 2026, 4 readings.

Source: GitHub. Checked .

Health and security

Is LangFair looked after, and what do its setup files show

Health score

53 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity27.8 of 30Last push 55 days ago
Releases0 of 150 releases in 90 days
Issue replies0 of 20First reply in 62.1 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.