JASP is an open-source statistics program that is free, friendly, and flexible. Armed with an easy-to-use GUI, JASP allows both classical and Bayesian analyses.

Mar 4, 2026 · JASP is compatible with most 64bit operating systems and processors from AMD, Intel and ARM (including Apple Silicon). 32bit only operating systems and processors are not supported.

The tutorial section below lists many analyses and functions available in JASP, accompanied by explanatory media like blog posts, videos and animated GIF-files.

Below is some general information about JASP that may be helpful as you analyze your first data set. We invite you to post any remaining questions on the JASP forum or on the JASP GitHub page.

For feature requests, for help installing JASP, or for bug reports: please post your issue on our GitHub page so the JASP team can assist you efficiently (for details see this blog post).

“Discovering Statistics Using JASP is your complete guide to mastering data analysis with JASP software. With approachable step-by-step instructions and plenty of humour, you’ll unlock the power …

See the list below for all the modules and its analyses currently available in JASP. To find out how to perform certain analyses or how to use certain features, visit the How to Use JASP section.

For non-parametric data, you should report median values as your descriptive statistics and use boxplots or Rainbow plots instead of line graphs and confidence intervals, SD/SE bars.

This is why we have developed JASP, a cross-platform software program with a state-of-the-art graphical user interface. The JASP interface allows you to conduct statistical analyses in seconds, …

Discovering Statistics Using JASP (SAGE 2025) is a textbook by Andy Field, Johnny van Doorn, and Eric-Jan Wagenmakers. The book is accompanied by a website with publicly accessible materials, …