MNE-Python 1.6.1-foss-2022b

Open-source Python software for exploring, visualizing, and analyzing human neurophysiological data: MEG, EEG, sEEG, ECoG, and more.

Accessing MNE-Python 1.6.1-foss-2022b

To load the module for MNE-Python 1.6.1-foss-2022b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022b
module load MNE-Python/1.6.1-foss-2022b

BEAR Apps Version




The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.


  • deepdiff 6.7.1
  • Deprecated 1.2.14
  • dipy 1.8.0
  • h5io 0.2.1
  • lazy_loader 0.3
  • mffpy 0.8.0
  • mne 1.6.1
  • mne-bids-0.14
  • ordered-set-4.1.0
  • pymatreader 0.0.32
  • python-picard-0.7
  • pyvista 0.43.3
  • scooby 0.9.2
  • traitlets 5.9.0
  • trx-python-0.2.9
  • wrapt 1.16.0
  • xmltodict 0.13.0

More Information

For more information visit the MNE-Python website.


This version of MNE-Python has a direct dependency on: foss/2022b h5py/3.8.0-foss-2022b imageio/2.31.1-foss-2022b matplotlib/3.7.0-gfbf-2022b Nilearn/0.10.3-gfbf-2022b numba/0.58.1-foss-2022b OpenMEEG/2.5.7-foss-2022b Python/3.10.8-GCCcore-12.2.0 scikit-learn/1.2.1-gfbf-2022b SciPy-bundle/2023.02-gfbf-2022b statsmodels/0.14.0-gfbf-2022b tqdm/4.64.1-GCCcore-12.2.0 VTK/9.2.6-foss-2022b

Other Versions

These versions of MNE-Python are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 16th February 2024