pymovements is an open-source python package for processing eye movement data. It provides a simple interface to download publicly available datasets, preprocess gaze data, detect oculomotoric events and render plots to visually analyze your results.
- Website: https://github.com/aeye-lab/pymovements
- Documentation: https://pymovements.readthedocs.io
- Source code: https://github.com/aeye-lab/pymovements
- Mailing list: [email protected]
- Contributing: https://github.com/aeye-lab/pymovements/blob/main/CONTRIBUTING.md
- Bug reports: https://github.com/aeye-lab/pymovements/issues
- PyPI package: https://pypi.org/project/pymovements
- Conda package: https://anaconda.org/conda-forge/pymovements
pymovements can be installed directly from the PyPI repositories:
pip install pymovementspymovements can be installed from the conda-forge repositories.
If not already done, you will need to add conda-forge to your available channels:
conda config --add channels conda-forge
conda config --set channel_priority strictYou can then install pymovements into you conda environment:
conda install -c conda-forge pymovementsTo use the latest development version or to try out tutorials, pymovements may be alternatively cloned and installed with
git clone https://github.com/aeye-lab/pymovements.git
pip install --upgrade pip
pip install -e ./pymovementsWe welcome any sort of contribution to pymovements!
For a detailed guide, please refer to our CONTRIBUTING.md first.
If you have any questions, please open an issue or write us at [email protected]
If you are using pymovements in your research, we would be happy if you cite our work by using the following BibTex entry:
@misc{pymovements,
author = {Krakowczyk, Daniel and Reich, David R. and Chwastek, Jakob, Prasse, Paul and Jäger, Lena},
title = {pymovements: A Python Package for Processing Eye Movement Data},
year = {2023},
publisher = {GitHub},
howpublished = {\url{https://github.com/aeye-lab/pymovements}},
}