Source: python-mne Maintainer: Debian Med Packaging Team Uploaders: Yaroslav Halchenko , Michael Hanke Section: python Testsuite: autopkgtest-pkg-python Priority: optional Build-Depends: debhelper (>= 12~), dh-python, python-all, python-nibabel, python-numpy, python-scipy, python3-sphinx, python-nose, python-pytest, python-pytest-cov, python-setuptools, python-matplotlib, python-joblib, python-sklearn, mayavi2 (>= 4.4.3~) | python-vtk6 | python-vtk, python-tk, xvfb, xauth, libgl1-mesa-dri, python-coverage, libjs-jquery, libjs-jquery-ui, yui-compressor Standards-Version: 4.3.0 Vcs-Browser: https://salsa.debian.org/med-team/python-mne Vcs-Git: https://salsa.debian.org/med-team/python-mne.git Homepage: http://martinos.org/mne Package: python-mne Architecture: all Depends: ${misc:Depends}, ${python:Depends}, python-numpy, python-scipy, python-sklearn, python-matplotlib, python-joblib, xvfb, xauth, libgl1-mesa-dri, help2man, libjs-bootstrap, libjs-jquery, libjs-jquery-ui, libjs-d3 Recommends: python-nose, python-pytest, python-nibabel, mayavi2 Suggests: python-dap, python-pycuda, ipython Provides: ${python:Provides} Description: Python modules for MEG and EEG data analysis This package is designed for sensor- and source-space analysis of MEG and EEG data, including frequency-domain and time-frequency analyses and non-parametric statistics.