PTE is an open-source software package for working with electrophysiological data
PTE builds upon the packages MNE and MNE-BIDS.
To install the latest stable release, simply type:
$ pip install pte
To install the latest development version, first clone this repository using git:
$ git clone https://github.com/richardkoehler/pte
Use the package manager conda to set up a new working environment. To do so navigate to the PTE root directory in your terminal and type:
$ conda env create -f env.yml
This will set up a new conda environment called pte
.
To activate the environment then type:
$ conda activate pte
If you want to install pte-stats into another existing environment, type:
$ pip install -e .
import pte
Please feel free to contribute yourselves or to open an issue when you encounter a bug or would like to add a new feature.
For any minor additions or bugfixes, you may simply create a pull request.
For any major changes, make sure to open an issue first. When you then create a pull request, be sure to link the pull request to the open issue in order to close the issue automatically after merging.
To contribute yourselves, consider installing the full conda development environment to include such tools as black, pylint and isort:
$ conda env create -f env_dev.yml
$ conda activate pte-dev
Continuous Integration (CI) including automated testing are set up.
PTE is licensed under the MIT license.