JASP - Open-source project for Data Analysis resulting in Fast Conclusions with Minimal Work

JASP is an open-source project supported by the University of Amsterdam with an intuitive interface offering standard data analysis in classical or bayesian form.

JASP was designed with the user in mind: APA-formatted tables can be copy-pasted in your word processor, output can be extensively annotated, adjustment of input options dynamically changes the output, and selecting old output revives the associated input choices for inspection and adjustment.

JASP is open-source and free of charge, and we provide it as a service to the community. JASP is also statistically inclusive, as it offers both frequentist and Bayesian analysis methods. Indeed, the primary motivation for JASP is to make it easier for statistical practitioners to conduct Bayesian analyses.

Feature List:

For more information about BCI/EEG press here.