Metadata-Version: 2.1
Name: mneprep
Version: 0.0.3
Summary: Graphical user interface (GUI) for EEG/MEG preprocessing and visualisation with MNE, a Python-based toolbox for neuroimaging data analysis.
Home-page: https://github.com/pypa/sampleproject
Author: Katherine Ward
Author-email: wardk6@cardiff.ac.uk
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: autoreject (>=0.2)
Requires-Dist: matplotlib (<3.3,>=3.2)
Requires-Dist: mne (>=0.20)
Requires-Dist: numpy (>=1.19)
Requires-Dist: PyQt5 (>=5.10)
Requires-Dist: python-picard (>=0.4)
Requires-Dist: QtPy (>=1.9)
Requires-Dist: scikit-learn (>=0.23)
Requires-Dist: scipy (>=1.5)

# MNEprep

Graphical user interface (GUI) for EEG/MEG preprocessing and visualisation with MNE, a Python-based toolbox for neuroimaging data analysis.


## Installing MNEprep:

You can install MNEprep by using pip in a terminal:

`python3 -m pip install mneprep`

Note that MNEPrep requires Python 3.6 or higher.


## Dependencies:

MNEprep requires the following Python packages, which will be automatically installed when MNEprep is installed:

* autoreject >= 0.2
* matplotlib >= 3.2.0, <3.3.0
* mne >= 0.20.0
* numpy >= 1.19.0
* PyQt5 >= 5.10.0
* python-picard >= 0.4.0
* QtPy >= 1.9.0
* scikit-learn >= 0.23.0
* scipy >= 1.5.0


