GithubHelp home page GithubHelp logo
      ______                           _                          __ 
     / ____/_  __ ____   __  __ _____ (_)____ ___   ___   ____   / /_
    / __/  | |/_// __ \ / / / // ___// // __ `__ \ / _ \ / __ \ / __/
   / /___ _>  < / /_/ // /_/ // /   / // / / / / //  __// / / // /_  
  /_____//_/|_|/ .___/ \__, //_/   /_//_/ /_/ /_/ \___//_/ /_/ \__/  
              /_/     /____/                                         

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.

GNU General Public License v3 (see details)
Florian Krause ([email protected]) & Oliver Lindemann ([email protected])

Documentation

Documentation can be found in the directory "documentation". For online documentation see: http://docs.expyriment.org

Examples

For online examples see: http://stash.expyriment.org/examples

Installation

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: http://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. http://dx.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.

Expyriment's Projects

dataintegrityfingerprint icon dataintegrityfingerprint

Data Integrity Fingerprint (DIF) - A proposal for a human-readable fingerprint of scientific datasets that allows verifying their integrity

expyriment icon expyriment

Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.