Experiments, analyses, and simulations:
all built-in, all running instantly.
Quick statistics and publication quality plots.
Reproducibility as simple as a button click.
Many experiments share a common structure. Why not start from a template (a class) that you can reuse? Many useful routines are built-in: experiment loop, automatic testing, data and log handling...
A GUI is generated on the fly based on your project. Run and reproduce everything with ease! Command-line ninjas get their interface too.
All project materials have a clear organization and naming conventions. No more mess.
Compute accuracy across participants with a single command.
Instantly produce nice plots with a single command.
Unlike PsychoPy, matplotlib, or pandas that are very flexible and support multiple options to suit everyone’s needs, the underlying philosophy of psychopy_ext is to act as the glue at a higher level of operation by choosing reasonable defaults for these packages and providing patterns for common tasks with a minimal user intervention. (read more...)
Prefer an academic explanation instead? (open access)
Kubilius, J. (2014). A framework for streamlining research workflow in neuroscience and psychology. Frontiers in Neuroinformatics, 7, 52. doi: 10.3389/fninf.2013.00052