_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-nilearn 0.14.0
Propagated dependencies: python-jinja2@3.1.6 python-joblib@1.5.3 python-nibabel@5.3.2 python-numpy@2.4.6 python-packaging@26.2 python-pandas@3.0.3 python-requests@2.34.2 python-scikit-learn@1.9.0 python-scipy@1.17.1
Channel: guix-science
Location: guix-science/packages/neuroscience.scm (guix-science packages neuroscience)
Home page: https://nilearn.github.io
Licenses: Modified BSD
Build system: pyproject
Synopsis: Statistical learning for neuroimaging in Python
Description:

Nilearn enables approachable and versatile analyses of brain volumes and surfaces. It provides statistical and machine-learning tools, with instructive documentation & open community.

Total packages: 1