python-pyepl – module for coding psychology experiments in Python

PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments.

It provides

  • presentation: both visual and auditory stimuli
  • responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped
  • sync-pulsing: synchronizing your behavioral task with external acquisition hardware
  • flexibility of encoding various experiments due to the use of Python as a description language
  • fast execution of critical points due to the calls to linked compiled libraries

This toolbox is here to be an alternative for a widely used commercial product E’(E-Prime)

This package provides PyEPL for supported versions of Python.

Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 6.0 (squeeze) 1.1.0-3 1.1.0+git12-g365f8e3-2~nd60+1 i386, amd64
Debian GNU/Linux 7.0 (wheezy) 1.1.0-3.1 1.1.0+git12-g365f8e3-2~nd70+1 i386, amd64
Debian testing (jessie) 1.1.0+git12-g365f8e3-2 1.1.0+git12-g365f8e3-2~nd80+1 i386, amd64
Debian unstable (sid) 1.1.0+git12-g365f8e3-2 1.1.0+git12-g365f8e3-2~nd+1 i386, amd64
Ubuntu 10.04 LTS “Lucid Lynx” (lucid) 1.1.0-1 1.1.0-3~lucid.nd1 i386, amd64
Ubuntu 12.04 LTS “Precise Pangolin” (precise) 1.1.0-3build3 1.1.0+git12-g365f8e3-2~nd12.04+1 i386, amd64
Ubuntu 12.10 “Quantal Quetzal” (quantal) 1.1.0-3build3 1.1.0+git12-g365f8e3-2~nd12.10+1 i386, amd64
Ubuntu 13.04 “Raring Ringtail” (raring) 1.1.0-3.1 1.1.0+git12-g365f8e3-2~nd13.04+1 i386, amd64
Ubuntu 13.10 “Saucy Salamander” (saucy) 1.1.0+git12-g365f8e3-1 1.1.0+git12-g365f8e3-2~nd13.10+1 i386, amd64

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