Coder Social home page Coder Social logo

dr-gareth-roberts / mne-python Goto Github PK

View Code? Open in Web Editor NEW

This project forked from mne-tools/mne-python

0.0 0.0 0.0 139.03 MB

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Home Page: http://mne.tools

License: BSD 3-Clause "New" or "Revised" License

Shell 0.20% JavaScript 0.08% Python 99.30% Makefile 0.04% Csound Document 0.25% Sass 0.01% Jinja 0.13%

mne-python's Introduction

GH-Linux_ GH-macOS_ _ Circle_ Codecov_ PyPI_ conda-forge_ Zenodo_

MNE_

MNE-Python

MNE-Python software is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more. It includes modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, and statistics.

Documentation

MNE documentation for MNE-Python is available online.

Installing MNE-Python

To install the latest stable version of MNE-Python, you can use pip in a terminal:

$ pip install -U mne
  • MNE-Python 0.17 was the last release to support Python 2.7
  • MNE-Python 0.18 requires Python 3.5 or higher
  • MNE-Python 0.21 requires Python 3.6 or higher
  • MNE-Python 0.24 requires Python 3.7 or higher

For more complete instructions and more advanced installation methods (e.g. for the latest development version), see the installation guide.

Get the latest code

To install the latest version of the code using pip open a terminal and type:

$ pip install -U https://github.com/mne-tools/mne-python/archive/main.zip

To get the latest code using git, open a terminal and type:

$ git clone https://github.com/mne-tools/mne-python.git

Alternatively, you can also download a zip file of the latest development version.

Dependencies

The minimum required dependencies to run MNE-Python are:

  • Python >= 3.7
  • NumPy >= 1.18.1
  • SciPy >= 1.4.1
  • Matplotlib >= 3.1.0
  • pooch >= 1.5
  • tqdm
  • Jinja2
  • decorator

For full functionality, some functions require:

  • Scikit-learn >= 0.22.0
  • joblib >= 0.15 (for parallelization control)
  • Numba >= 0.48.0
  • NiBabel >= 2.5.0
  • Pandas >= 1.0.0
  • Picard >= 0.3
  • CuPy >= 7.1.1 (for NVIDIA CUDA acceleration)
  • DIPY >= 1.1.0
  • Imageio >= 2.6.1
  • PyVista >= 0.32
  • pyvistaqt >= 0.4
  • mffpy >= 0.5.7
  • h5py
  • h5io
  • pymatreader

Contributing to MNE-Python

Please see the documentation on the MNE-Python homepage:

https://mne.tools/dev/install/contributing.html

Forum

https://mne.discourse.group

Licensing

MNE-Python is BSD-licenced (BSD-3-Clause):

This software is OSI Certified Open Source Software. OSI Certified is a certification mark of the Open Source Initiative.

Copyright (c) 2011-2022, authors of MNE-Python. All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
  • Neither the names of MNE-Python authors nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission.

This software is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the copyright owner or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.

mne-python's People

Contributors

larsoner avatar agramfort avatar dengemann avatar jaeilepp avatar christianbrodbeck avatar jasmainak avatar teonbrooks avatar jona-sassenhagen avatar mluessi avatar kingjr avatar drammock avatar rgoj avatar guillaumefavelier avatar hoechenberger avatar cbrnr avatar wmvanvliet avatar wronk avatar choldgraf avatar massich avatar yousrabk avatar sappelhoff avatar leggitta avatar adykstra avatar rob-luke avatar trachelr avatar lorenzo-desantis avatar kaichogami avatar mmagnuski avatar britta-wstnr avatar dgwakeman avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.