jamovi is free and open source, it runs on R under the hood, and it is extended by installing modules. That design is flexible, and for many people it is the right one. Magic Stat makes the opposite bet: one application, one integrated set of analyses, nothing to add — with the manuscript output built into every run.
jamovi is free and open source, and its design is deliberately extensible: a core set of analyses plus a library of modules you add when you need them, all powered by R. Because R is underneath, the analyses follow the same methods R users already trust, and advanced users can go deeper than the menus. If extensibility, R at the core and a zero price matter to you, jamovi is a strong choice and this page does not argue otherwise.
Magic Stat takes a different position. There is no module library and no R underneath: the analyses ship inside one application, share a single visual language, and are limited to what is included. The trade is deliberate — fewer moving parts to install and keep aligned, and an output path (APA table, figure, report) attached to every analysis rather than assembled afterwards.
The two are answering different questions. jamovi asks "how do I extend this?" Magic Stat asks "how do I get from this result to the manuscript?"
Included: descriptive statistics · t-tests and nonparametrics · ANOVA, ANCOVA, MANOVA, repeated measures · post-hoc and contrasts · correlation · linear, robust, polynomial, nonlinear and dose-response regression · logistic, Poisson and multinomial regression · GLM and GAM · mixed models and GEE · SEM and PLS-SEM · psychometrics and IRT · meta-analysis and power · time series · Bayesian tests · contingency and log-linear · clustering, discriminant and PLS-DA · ordination · ecology and PERMANOVA · medical statistics · econometrics · spatial and SDM.
Not included: third-party modules or plugins. What is listed here is what the application contains; if a method is missing, it cannot be added by installing a package — which is exactly where jamovi's model is more flexible.
Yes — free, open source, and built on R. If free and extensible suit you, keep using it.
No. It is one integrated application, not a modular platform. If adding modules matters, jamovi is the better-designed tool for that.
No. Its engines are its own, built in Python on numpy/scipy, statsmodels, scikit-learn and semopy. That means no R to install, but also no R to drop into.
No — a free 48-hour trial with no card, then US$990 per year.
jamovi is a platform you extend; Magic Stat is an application that ends in a manuscript artefact — an APA table, a figure and a report.