PsychoPy

Authors: Jonathan W. PeirceJeremy R. GraySol SimpsonMichael R. MacAskillRichard HöchenbergerHiroyuki SogoErik KastmanJonas K. Lindeløv
Updated: Thu 15 April 2021
Source: psychopy.org
Type: software (cross-platform)
Languages: N/A
Keywords: pythonexperimentneurosciencelinguisticspsychologypsychophysicspsycholinguisticsexperiment-controlexperimental-design
Open Access: yes
License: GPL 3.0
Documentation: https://psychopy.org/documentation.html
Tests: https://github.com/psychopy/psychopy/tree/release/psychopy/tests
Publications: Peirce, J. W., Gray, J. R., Simpson, S., MacAskill, M. R., Höchenberger, R., Sogo, H., Kastman, E., & Lindeløv, J. (2019); Peirce, J. W., & MacAskill, M. R. (2018); Peirce J. W. (2009); Peirce, J. W. (2007)
Citation: Peirce, J. W., Gray, J. R., Simpson, S., MacAskill, M. R., Höchenberger, R., Sogo, H., Kastman, E., Lindeløv, J. (2019). PsychoPy2: experiments in behavior made easy. Behavior Research Methods. 10.3758/s13428-018-01193-y
Summary:

PsychoPy is an open-source package for running experiments in Python (a real and free alternative to Matlab). PsychoPy combines the graphical strengths of OpenGL with the easy Python syntax to give scientists a free and simple stimulus presentation and control package. It is used by many labs worldwide for psychophysics, cognitive neuroscience and experimental psychology. Because it’s open source, you can download it and modify the package if you don’t like it. And if you make changes that others might use then please consider giving them back to the community via the mailing list. PsychoPy has been written and provided to you absolutely for free. For it to get better it needs as much input from everyone as possible.