FreshPorts -- math/py-fairlearn: Python package to assess and improve fairness of machine learning models

Port details

py-fairlearn Python package to assess and improve fairness of machine learning models

0.14.0 math Σ=0 0.14.0Version of this port present on the latest quarterly branch.

Maintainer: sunpoet@FreeBSD.org

Port Added: 2026-07-11 12:24:06

Last Update: 2026-07-11 12:20:43

Commit Hash: 3cbcc60

Also Listed In: python

License: MIT

WWW:

https://fairlearn.org/

https://github.com/fairlearn/fairlearn

Description: #

Fairlearn is a Python package that empowers developers of artificial intelligence (AI) systems to assess their system's fairness and mitigate any observed unfairness issues. Fairlearn contains mitigation algorithms as well as metrics for model assessment. Besides the source code, this repository also contains Jupyter notebooks with examples of Fairlearn usage.

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Manual pages: #

FreshPorts has no man page information for this port.

pkg-plist: as obtained via: make generate-plist #

There is no configure plist information for this port.

USE_RC_SUBR (Service Scripts)

no SUBR information found for this port

Dependency lines:

${PYTHON_PKGNAMEPREFIX}fairlearn>0:math/py-fairlearn@${PY_FLAVOR}

To install the port: #

cd /usr/ports/math/py-fairlearn/ && make install clean

To add the package, run one of these commands:

pkg install math/py-fairlearn
pkg install py312-fairlearn

NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py312-fairlearn listed in the above command, you can pick from the names under the Packages section.

PKGNAME: py312-fairlearn

Package flavors (<flavor>: <package>) #

py312: py312-fairlearn

distinfo: #

TIMESTAMP = 1783563936 SHA256 (fairlearn-0.14.0.tar.gz) = dc9d12fc6d3f4c94f1bf32eb11032b73363c4a62c986485bcc87febe2e583ebd SIZE (fairlearn-0.14.0.tar.gz) = 105832

Packages (timestamps in pop-ups are UTC): #

py312-fairlearn
ABI	aarch64	amd64	armv6	armv7	i386
FreeBSD:14:latest	-	0.14.0	-	-	0.14.0
FreeBSD:14:quarterly	-	0.14.0	-	-	0.14.0
FreeBSD:15:latest	-	0.14.0	n/a	-	n/a
FreeBSD:15:quarterly	-	0.14.0	n/a	-	n/a
FreeBSD:16:latest	-	0.14.0	n/a	-	n/a

Dependencies #

NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.

Build dependencies: #

py312-setuptools>=0 : devel/py-setuptools@py312
py312-wheel>=0 : devel/py-wheel@py312
python3.12 : lang/python312
py312-build>=0 : devel/py-build@py312
py312-installer>=0 : devel/py-installer@py312

Test dependencies: #

python3.12 : lang/python312

Runtime dependencies: #

py312-narwhals>=1.14.0 : math/py-narwhals@py312
py312-numpy>=1.24.4,1 : math/py-numpy@py312
py312-pandas>=2.0.3,1 : math/py-pandas@py312
py312-scikit-learn>=1.5.0 : science/py-scikit-learn@py312
py312-scipy>=1.9.3,1 : science/py-scipy@py312
python3.12 : lang/python312

There are no ports dependent upon this port #

Configuration Options: #

No options to configure

Options name: #

math_py-fairlearn

USES: #

python

FreshPorts was unable to extract/find any pkg message #

Master Sites: #

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Number of commits found: 1 #

Commit History - (may be incomplete: for full details, see links to repositories near top of page)

Commit

Credits

Log message

0.14.0
11 Jul 2026 12:20:43

Po-Chuan Hsieh (sunpoet)

math/py-fairlearn: Add py-fairlearn 0.14.0

Fairlearn is a Python package that empowers developers of artificial
intelligence (AI) systems to assess their system's fairness and mitigate any
observed unfairness issues. Fairlearn contains mitigation algorithms as well as
metrics for model assessment. Besides the source code, this repository also
contains Jupyter notebooks with examples of Fairlearn usage.

Number of commits found: 1

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