_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-mne-qt-browser 0.7.5
Propagated dependencies: python-darkdetect@0.8.0 python-matplotlib@3.10.9 python-mne@1.13.2 python-numpy@2.4.6 python-pyopengl@3.1.10 python-pyqtgraph@0.13.7 python-qdarkstyle@3.2.3 python-qtpy@2.4.3 python-scipy@1.17.1 python-scooby@0.11.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://mne.tools/
Licenses: Modified BSD
Build system: pyproject
Synopsis: PyQtGraph-based backend for MNE-Python's raw data browser
Description:

MNE Qt Browser is an alternative backend for plotting multichannel time series data (such as EEG or MEG) with MNE-Python. The backend is based on PyQtGraph, which in turn uses Qt under the hood.

Total packages: 1