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Overview
Expyriment is an open-source and platform-independent lightweight Python library for designing and conducting timing-critical behavioral and neuroimaging experiments. The major goal is to provide a well-structured Python library for script-based experiment development, with a high priority being the readability of the resulting program code. Due to the availability of an Android runtime environment, Expyriment is also suitable for the development of experiments running on tablet PCs or smart-phones.
Expyriment has been tested extensively under Linux and Windows and is an all-in-one solution, as it handles stimulus presentation, the recording of input/output events, communication with other devices, and the collection and preprocessing of data. Furthermore, it offers a hierarchical design structure, which allows for an intuitive transition from the experimental design to a running program. It is therefore also suited for students, as well as for experimental psychologists and neuroscientists with little programming experience.
- Project Homepage: https://expyriment.org
GNU General Public License v3 (see details) Florian Krause (florian@expyriment.org) & Oliver Lindemann (oliver@expyriment.org)
Documentation
Documentation can be found in the directory "documentation". For online documentation see: https://docs.expyriment.org
Examples
For online examples see: https://github.com/expyriment/expyriment-stash/tree/master/examples
Installation
Expyriment can be installed via pip:
pip install expyriment
The latest stable release of Expyriment can be found at Github: https://github.com/expyriment/expyriment/releases/latest
For detailed installation instructions, please see the online documentation: https://docs.expyriment.org/Installation.html
Reference
Krause, F., & Lindemann, O. (2014). Expyriment: A Python library for cognitive and neuroscientific experiments. Behavior Research Methods, 46(2), 416-428. https://doi.org/10.3758/s13428-013-0390-6
Contributing
Join other contributors and help us out with Expyriment development! We are very happy to receive pull requests on GitHub.
Metadata
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Total release size: 12.6 MB
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