Free
Free
Fairlearn is free open-source software distributed via GitHub and documented on fairlearn.org.
- Access
- Fairlearn is free open-source software distributed via GitHub and documented on fairlearn.org.
Finding the possibilities
Fairlearn
● Identity checkedCode · Vendor site 2026-10-04
Fairlearn is an open-source Python toolkit for assessing and improving fairness in machine learning models, with metrics, mitigation algorithms, and educational resources. The project provides user guides, API docs, example notebooks, and community contribution paths.
- Category
- Code
- Free access
- Fairlearn is free open-source software distributed via GitHub and documented on fairlearn.org.
- API access
- Python API reference and example notebooks are published on the official Fairlearn documentation site.
Is Fairlearn right for you?
A good fit for
Data scientists and ML engineers who need fairness assessment and mitigation when deploying classification or ranking models.
Before you choose
Fairlearn is a library you run locally or in your stack; the project does not operate a hosted fairness SaaS with subscriptions.
Fairness assessments in ML
Fairlearn helps teams measure disparity in model outcomes and apply mitigation techniques within familiar Python workflows.
What it can do
Features & capabilities
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Fairness toolkit | Site meta describes Fairlearn as an open-source toolkit for assessing and improving fairness in AI. | Facts sourced | 2026-10-04 |
| Documentation | Navigation links to user guides, API docs, example notebooks, and contributor guides. | Facts sourced | 2026-10-04 |
| Open source | Homepage directs contributors to the fairlearn/fairlearn GitHub repository. | Facts sourced | 2026-10-04 |
Understand the total cost
Fairlearn pricing & plans
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Explore toolThe practical questions
Frequently asked questions
What is Fairlearn used for?
Fairlearn is an open-source Python toolkit for assessing and improving fairness in machine learning models, with metrics, mitigation algorithms, and educational resources. The project provides user guides, API docs, example notebooks, and community contribution paths.
Does Fairlearn have a free plan?
Fairlearn is free open-source software distributed via GitHub and documented on fairlearn.org.. This record lists ongoing free access; check the plan limits before starting.
How much does Fairlearn cost?
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Can I use Fairlearn through an API?
Python API reference and example notebooks are published on the official Fairlearn documentation site.. API access and subscription access may have different terms; consult the linked sources.
What should I check before choosing it?
Fairlearn is a library you run locally or in your stack; the project does not operate a hosted fairness SaaS with subscriptions.
Price history
No retained pricing changes yet. A current price alone does not establish a historical trend.
How this profile is supported
Identity and profile
Reviewed vendor source
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.