A Domain-Specific Language (DSL) for experiments specification in psychology and neuroscience
Project description
pyFlies
pyFlies is a Domain-Specific Language (DSL) for designing experiments in psychology. It is meant to be highly readable and simple to learn. A code for various run-time platforms can be generated from the experiment description.
See the official documentation for more.
Click on the image bellow to see a short (~3 min) overview video.
Citing
If you are using PyFlies in your research or you are referring to PyFlies in your papers please cite this paper:
Dejanović, I.; Dejanović, M.; Vidaković, J.; Nikolić, S. PyFlies: A Domain-Specific Language for Designing Experiments in Psychology. Appl. Sci. 2021, 11, 7823. https://doi.org/10.3390/app11177823
@Article{app11177823,
AUTHOR = {Dejanović, Igor and Dejanović, Mirjana and Vidaković, Jovana and Nikolić, Siniša},
TITLE = {PyFlies: A Domain-Specific Language for Designing Experiments in Psychology},
JOURNAL = {Applied Sciences},
VOLUME = {11},
YEAR = {2021},
NUMBER = {17},
ARTICLE-NUMBER = {7823},
URL = {https://www.mdpi.com/2076-3417/11/17/7823},
ISSN = {2076-3417},
DOI = {10.3390/app11177823}
}
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for pyflies-0.5.1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4c4474576341c5a89d01b37416dbef1e19f040fa025cb896f2f50ff1a243c5c1 |
|
MD5 | ec3dae552bf9e728034393443d9c21f9 |
|
BLAKE2b-256 | 2d65548dedbd15b9758d130669393f003a71a994b047cbda22188b63a474d783 |