Graphical user interface (GUI) for EEG/MEG preprocessing and visualisation with MNE, a Python-based toolbox for neuroimaging data analysis.
Project description
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
Project details
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mneprep-0.0.6.tar.gz.
File metadata
- Download URL: mneprep-0.0.6.tar.gz
- Upload date:
- Size: 27.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
91b9dc673fa4acad64a75c720fa9e987be24cd2636628d236b92faad48205edb
|
|
| MD5 |
e3949e856b27056056f86d692a160dca
|
|
| BLAKE2b-256 |
a9757f3565955807c22174629168bddfba01bb7533ad02b631335fdd0288d703
|
File details
Details for the file mneprep-0.0.6-py3-none-any.whl.
File metadata
- Download URL: mneprep-0.0.6-py3-none-any.whl
- Upload date:
- Size: 45.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a5e13362b9ab3e19f132991d49c3fcf0c9b7703a370b88f7ce240ae6daa118ae
|
|
| MD5 |
6d2ad621b4889188abd2c74dda270e20
|
|
| BLAKE2b-256 |
595f692467fcf61e97ff9d56143d5298a84effa60c1b62262fd668a40d94a385
|