Fairlearn

Open source

Open source toolkit for assessing and mitigating unfairness in machine learning models.

by Fairlearn communityOfficial site ↗Source code ↗

Pricing: free
Free tier: true
License: open-source
Open source: Yes

Editorial review

Fairlearn has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Tags(open-source;cloud-native): fairness, machine learning, responsible AI, bias mitigation, Python, open sourceVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): self-hostedVerification pending

Pricing · Licensing

Free plan(true/false): trueVerification pending
License model(proprietary;open-source;source-available;dual-license): open-sourceVerification pending
Pricing model(free;subscription;usage;seat;asset;transaction;revenue-share;perpetual;custom): freeVerification pending
Source repository(HTTPS URL): https://github.com/fairlearn/fairlearnVerified
SPDX license IDs(Apache-2.0;MIT): MITVerified

Features · Product · Fit

Core capabilities(authoring;automation;analytics): fairness metrics for AI systems, mitigation algorithms for fairness issues, Python toolkit installable with pip, user guide and use-case notebooks on sociotechnical fairness, community-contributed metrics, algorithms, and resourcesVerification pending

Api · Integrations · Ecosystem

API available(true/false): trueVerification pending

Audience · Use · Case

Best for(Neutral editorial summary): Data scientists assessing and mitigating fairness issues in ML models with a community-driven MIT-licensed Python toolkit.Verification pending
Primary use cases(build;monitor;automate): help data scientists improve fairness of AI systems, assess and mitigate fairness issues in models such as credit-card default prediction, learning about fairness as a sociotechnical topicVerification pending
Skill level(beginner;intermediate;advanced;specialist): specialistVerification pending

Lifecycle · Versioning

Current version(1.12.3): 0.15.0Verified
Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerification pending

Vendor · Maintainer

Founded year(2012): 2018Verified
Vendor type(commercial;foundation;community;government;consortium;individual): communityVerified

Also categorized in

Responsible AI Tooling

User reviews

Review policy

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