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: pymovements-list@uni-potsdam.de
- 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
Check out our guide on how to install pymovements and get started here: Installation
We provide a range of tutorial aimed at beginners: Tutorials
The complete reference of the package can be found here: API Reference
We 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 pymovements-list@uni-potsdam.de
If you are using pymovements in your research, we would be happy if you cite our work by using the following BibTex entry:
@inproceedings{pymovements,
author = {Krakowczyk, Daniel G. and Reich, David R. and Chwastek, Jakob and Jakobi, Deborah N.
and Prasse, Paul and Süss, Assunta and Turuta, Oleksii and Kasprowski, Paweł
and Jäger, Lena A.},
title = {pymovements: A Python Package for Processing Eye Movement Data},
year = {2023},
isbn = {979-8-4007-0150-4/23/05},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3588015.3590134},
doi = {10.1145/3588015.3590134},
booktitle = {2023 Symposium on Eye Tracking Research and Applications},
location = {Tubingen, Germany},
series = {ETRA '23},
}There is also a preprint available on arxiv.