- User documentation is found here: http://meggie.teekuningas.net
- Developer documentation is found here: https://cibr-jyu.github.io/meggie
Note that Python >= 3.7 is required.
- Install meggie to a conda environment: conda create -n meggie-env -c conda-forge meggie
- Activate the environment: conda activate meggie-env
- Run: meggie
- Clone this repository to /path/to/meggie/repo
- Create virtual environment: python -m venv /path/to/meggie-env
- Activate the environment: source /path/to/meggie-env/bin/activate
- Enter the repository: cd /path/to/meggie/repo
- Install dependencies: python -m pip install -r requirements.txt
- Install meggie: python -m pip install .
- Run: meggie
- If command meggie is not found, you should ensure that you are in the correct python environment.
- If the command is found, but the software crashes during startup to an ImportError, you should ensure that you are using Python 3 and that the dependencies are installed. Individual missing dependencies can often be installed with either conda install or pip install.
- If the software crashes during analysis or startup, and the terminal window does not show you the stacktrace, you can start meggie using command meggie debug and then the next crash will come with a stacktrace.
This project is licensed under the BSD license.
Great thanks to the excellent MNE-python and all the people who have helped.