PsychoPy

PsychoPy

PsychoPy is an open-source psychology and neuroscience research software used to design and run experiments. It allows creating psychology stimuli, experiments with high temporal precision, and analysis tools. It supports creating experiments that run on multiple platforms.
PsychoPy screenshot

PsychoPy: Open-Source Psychology Research Software

A free and open-source research software for designing and running psychology experiments, with high temporal precision and support for multiple platforms.

What is PsychoPy?

PsychoPy is an open-source application used to design and run experiments for psychology and neuroscience research. It provides a graphical user interface for creating visual and auditory stimuli, designing experimental timelines, and precisely recording participant responses.

Some key features of PsychoPy include:

  • Creating visual stimuli like shapes, text, images, videos, and animations
  • Presenting auditory stimuli like tones and sound files
  • Precisely synchronizing stimulus presentation using millisecond timing
  • Collecting input from various devices like keyboards, mice, eye trackers, EEG systems, etc.
  • Running experiments across platforms like Windows, Linux, and macOS
  • Support for creating experiments in online browsers for remote data collection
  • Data analysis tools for working with results from studies
  • A Python programming interface for maximum experimental control
  • Extensive documentation and community support

With its flexibility and multi-platform support, PsychoPy has become a widely used tool for conducting research experiments in psychology, neuroscience, psychophysics, linguistics, and related fields.

PsychoPy Features

Features

  1. Create psychology experiments with code
  2. High temporal precision
  3. Support for running experiments across platforms
  4. Create and display visual stimuli
  5. Collect data and analyze results

Pricing

  • Open Source

Pros

Open source

Flexible and customizable

Active community support

Cross-platform compatibility

Comprehensive feature set

Cons

Steep learning curve

Requires coding knowledge

Limited graphical user interface

Less support than commercial options

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