A graphical user interface for MNE
Project description
MNELAB is a graphical user interface (GUI) for MNE, a Python package for EEG/MEG analysis.
Changelog
Check out the changelog to learn what we added, changed or fixed in the latest release.
Dependencies
MNELAB requires Python >= 3.6 and the following packages:
- mne >= 0.22.0
- QtPy >= 1.9.0
- PyQt5 >= 5.10.0 or PySide2 >= 5.10.0
- numpy >= 1.14.0
- scipy >= 1.0.0
- matplotlib >= 2.1.0
- pyobjc-framework-Cocoa >= 5.2.0 (macOS only)
Optional dependencies provide additional features if installed:
- scikit-learn >= 0.20.0 (ICA computation with FastICA)
- python-picard >= 0.4.0 (ICA computation with PICARD)
- pyxdf >= 1.16.0 (XDF import)
- pyEDFlib >= 0.1.15 (EDF/BDF export)
- pybv 0.4.0 (BrainVision VHDR/VMRK/EEG export)
Installation
Make sure you have either PySide2 or PyQt5 installed. If you have neither, we recommend PySide2, which you can install with pip install PySide2. Then install MNELAB with:
pip install mnelab
To use all MNELAB features, all optional dependencies should also be installed:
pip install scikit-learn python-picard pyxdf pyEDFlib pybv
You can start MNELAB in a terminal with mnelab or python -m mnelab. On Windows, make sure to use Command Prompt (cmd.exe) or PowerShell (powershell.exe) – the mnelab command does not work in Git Bash.
If you use Arch Linux, you can alternatively install the python-mnelab AUR package (note that this also requires the python-mne AUR package).
Instead of the latest release, you can also install the latest development version as follows:
pip install git+https://github.com/cbrnr/mnelab
Contributing
The contributing guide contains detailed instructions on how to contribute to MNELAB.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file mnelab-0.6.4.tar.gz.
File metadata
- Download URL: mnelab-0.6.4.tar.gz
- Upload date:
- Size: 715.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f9b829c2e50c2b4f9f5ebc5058a04d3be3f35012db0cc5a0bb88aada55035fc6 |
|
| MD5 | f7220ec883263693a6cf92c870cedb3b |
|
| BLAKE2b-256 | 43f20116a0788ff23531a41a91fbb551aca29abfbc34dd1e70e1f5dd0331b6d0 |
File details
Details for the file mnelab-0.6.4-py3-none-any.whl.
File metadata
- Download URL: mnelab-0.6.4-py3-none-any.whl
- Upload date:
- Size: 68.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c016fb90ed8b39e6095590b94b6c02f4ad9c59ac7d748bb300896f974f9d1672 |
|
| MD5 | f19b736c8e79a0860bca2173fa13b3dd |
|
| BLAKE2b-256 | 03f878c0e2e841abf4d86804213d53a94133e499e69d6c8c2887945422d26a54 |
