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 .
Oxford-specific computers
If you are installing on an OHBA workstation computer (HBAWS) use:
git clone https://github.com/OHBA-analysis/osl.git
cd osl
conda env create -f envs/hbaws.yml
conda activate osl
pip install -e .
pip install spyder==5.1.5
Or on the BMRC cluster:
git clone https://github.com/OHBA-analysis/osl.git
cd osl
conda env create -f envs/bmrc.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 (if build_sphinx is not recognised, first try pip install sphinx==5.3.0):
python setup.py build_sphinx
Compiled docs can be found in doc/build/html/index.html.
Release files for osl 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| osl-1.1.0.tar.gz | 11.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| osl-1.1.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 22.0 MB
Release files / osl-1.1.0.tar.gz
| Download URL | osl-1.1.0.tar.gz |
|---|---|
| Size | 11.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
457b233e5b65733c71eff2defeceae4a61554aeaefcd45057835b4d5f8620bf0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.16
|
Release files / osl-1.1.0-py2.py3-none-any.whl
| Download URL | osl-1.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 11.0 MB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
f75550cf3d356cdba4a6deebcb1c31f78acd0c596cf0d189b2873b2a6ecd655f
|
|
BLAKE2b-256 checksum How to use checksums |
b2b66452006a30a7a1d99b7bf898adf152f6baeaff7581d003822c72ab7857aa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.16
|
