JASP

JASP is the publisher of JASP, a free and open-source cross-platform software application designed for conducting statistical analyses. Developed by a community centered around the jasp-stats organization on GitHub, the software runs on major desktop operating systems and serves as an accessible alternative to proprietary statistical packages. JASP falls into the data analysis and statistics software category, offering users a graphical interface through which they can perform a wide range of analytical tasks without needing to write code. Typical use cases include academic research, teaching, and applied data analysis, where users can import datasets, explore data descriptively, and carry out common inferential procedures such as t-tests, analysis of variance, regression, correlation, and contingency table analyses. The software also supports both classical frequentist and Bayesian approaches to statistics, making it suitable for researchers who wish to compare results across methodologies. Results are presented in dynamically updated output tables, so any change to the analysis options is immediately reflected, which helps users iterate and refine their work efficiently. Analyses can be saved and shared in a reproducible format, supporting transparency in scientific workflows. JASP is commonly used by university students learning statistics, instructors demonstrating statistical concepts in the classroom, and researchers in psychology, social sciences, and other data-driven fields who require a straightforward tool for routine analysis. Additional functionality can be extended through modules covering specialized techniques such as structural equation modeling, machine learning, network analysis, and meta-analysis. Overall, the publisher's catalog is focused on a single, well-established product aimed at making rigorous statistical analysis approachable, transparent, and freely available to a broad audience of students, educators, and practitioners.