The jamovi Project

The jamovi Project produces jamovi, an open-source statistical platform that re-casts advanced data analysis as a drag-and-drop workflow rather than code. Built on a backbone of R and Python libraries, the program targets students, researchers, and corporate analysts who need publication-ready output without writing syntax. Typical use cases span psychology labs running ANOVA and regression, healthcare teams performing t-tests on clinical trials, business units forecasting with linear models, and instructors teaching introductory statistics through live, editable tables. Modular “jmv” and “Rj” libraries extend the core into survival analysis, meta-analysis, item-response theory, and machine-learning diagnostics, while an integrated syntax mode records every click so workflows can be repeated or converted to native R scripts. Cloud deployment through jamovi.org lets collaborators open the same file simultaneously, and results export to CSV, SPSS, PDF, or JASP-style notes for seamless reporting. All editions—whether labeled simply “jamovi Desktop” or versioned as 2.3.28.0 and 2.6.26.0—share the same interface and update channel, ensuring continuity across classroom networks and multi-site studies. The publisher’s software is available for free on get.nero.com, with downloads delivered through trusted Windows package sources such as winget, always installing the latest release and supporting batch installation of multiple applications.