JASP is a user-friendly program for social sciences research with straightforward output. In contrast, Jamovi is a more versatile statistical analysis software, offering a broader range of tests and procedures, and the ability to connect to databases and run R scripts. While JASP is ideal for social sciences researchers seeking simplicity, Jamovi is better suited for researchers from various fields needing comprehensive functionality.

I had the same question and prompted GPT-4 to dig up some information on four different statistical software. As I came across your query and another person's question on ResearchGate while looking for this information, I uploaded GPT-4's output to the DOI below.

Just remember that this is the output of a language model, and I haven't double-checked the information in the report. However, it seemed largely accurate based on what I know about SPSS and SAS.

Technical Report Brief review of four statistical software (Jamovi, JASP, SAS...

Can Jamovi be downloaded to iPads?

Both Jamovi and JASP excel in different aspects of statistical analysis. Jamovi demonstrates strength in general statistical analyses, particularly in univariate frequentist analyses and in allowing to easily implement more sophisticated models such as mixed effects modelling, while JASP shines in Bayesian statistics. Previously, Jamovi had a noticeable advantage, but presently, JASP has emerged as the superior choice (by a leap, actually).

One significant drawback of Jamovi is its complexity and inconsistency, especially in post-hoc testing, where results may vary depending on the software version. Despite claims of utilising different models, such as the emmeans R package for estimated marginal means or pooled variance from ANOVA, Jamovi's reliability is questioned. Conversely, JASP offers greater dependability, addressing this longstanding Achilles' heel of Jamovi (post-hoc testing!).

In terms of plotting, Jamovi used to surpass JASP, boasting more options and control over visuals. However, JASP has since made significant strides, providing users with customisable plotting options. While in my experience neither platform offers the level of control found in MATLAB or R Studio, the improved plotting capabilities in JASP lessen the need for extensive post-editing in software like Illustrator. I mean, you will probably want to still edit them later, but it will be a more straight-forward process than with plots created in Jamovi.

Jamovi's layer system, particularly evident in plotting individual scores, remains convoluted. However, I remain optimist that Jamovi may bridge this gap in the near future, given its potential for advancement. But right now (early 2024), JASP is a few strides ahead of Jamovi.

Simplemente excelentes y de fácil uso. Muy buenos

See also my review here Technical Report Farewell SPSS: Switching to free software in 2024