OHBA Software Library
Project description
OHBA Software Library (OSL)
Tools for MEG/EEG analysis.
Documentation: https://osl.readthedocs.io/en/latest/.
Installation
See the official documentation for recommended installation instructions.
Alternatively, OSL can be installed from source code within a Miniconda (or Anaconda) environment using the following.
Linux
git clone https://github.com/OHBA-analysis/osl.git
cd osl
conda env create -f envs/linux.yml
conda activate osl
pip install -e .
Mac
git clone https://github.com/OHBA-analysis/osl.git
cd osl
conda env create -f envs/mac.yml
conda activate osl
pip install -e .
Removing OSL
Simply removing the conda environment and delete the repository:
conda env remove -n osl
rm -rf osl
For Developers
Run tests:
cd osl
pytest tests
or to run a specific test:
cd osl/tests
pytest test_file_handling.py
Build documentation:
python setup.py build_sphinx
Compiled docs can be found in doc/build/html/index.html
.
Project details
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
osl-0.7.0.tar.gz
(10.2 MB
view hashes)
Built Distribution
osl-0.7.0-py2.py3-none-any.whl
(10.3 MB
view hashes)