Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Psychopy | 1,483 | a day ago | 30 | May 24, 2022 | 236 | gpl-3.0 | Python | |||
For running psychology and neuroscience experiments | ||||||||||
Awesome Neuroscience | 974 | 9 months ago | ||||||||
A curated list of awesome neuroscience libraries, software and any content related to the domain. | ||||||||||
Eyeloop | 383 | a year ago | 6 | gpl-3.0 | Python | |||||
EyeLoop is a Python 3-based eye-tracker tailored specifically to dynamic, closed-loop experiments on consumer-grade hardware. | ||||||||||
Neurokit.py | 253 | 5 | 1 | 4 years ago | 6 | September 05, 2017 | 31 | mit | Python | |
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...). | ||||||||||
Opensesame | 219 | 19 days ago | 9 | February 07, 2022 | 78 | gpl-3.0 | Python | |||
Graphical experiment builder for the social sciences | ||||||||||
Psycho.r | 110 | 4 | 3 years ago | 17 | January 19, 2021 | 17 | other | R | ||
An R package for experimental psychologists | ||||||||||
Expyriment | 104 | 9 months ago | 6 | gpl-3.0 | Python | |||||
Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments | ||||||||||
Awesome Cogsci | 49 | 2 years ago | 12 | mit | ||||||
An Awesome List of Cognitive Science Resources | ||||||||||
Datasciencepsychneuro | 47 | 6 months ago | 7 | lgpl-3.0 | Jupyter Notebook | |||||
Repository for the Data Science for Psychology and Neuroscience course at CMU (Verstynen) | ||||||||||
Psychxr | 32 | 10 months ago | 7 | July 27, 2021 | 2 | other | Cython | |||
Python extension library for interacting with eXtended Reality displays, intended for research in neuroscience and psychology. |
PsychoPy is an open-source package for creating experiments in behavioral science. It aims to provide a single package that is:
To meet these goals PsychoPy provides a choice of interface - you can use a simple graphical user interface called Builder, or write your experiments in Python code. The entire application and library are written in Python and is platform independent.
There is a range of documentation at:
To contribute, please fork the repository, hack in a feature branch, and send a pull request. For more, see CONTRIBUTING.md and the developers documentation at https://www.psychopy.org/developers
Dev branch tests:
Release tests: