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jamovi Compared to JASP, jamovi is slightly more intuitive, incorporates R coding (for data pre-processing) that generalizes better to other plaforms such as R Studio, and does not crash very often.
JASP Compared to jamovi, JASP is better for customizable plots (especially using the JASP 'Plot Builder') and allows the user to organize / re-organize the output.
Examples JASP Plots:
The large and small dots indicate means and unaggregated data points, respectively. The contoured regions show distributions, along with medians. The error bars indicate 95% CIs.
The bars and thin dashes show means and medians, respectively. The dots show unaggregated data points. The error bars indicate 95% CIs.
Note: Both of these apps can produce basic, interaction-related post-hoc tests for multi-factor ANOVAs such that each mean is compared to each of the other means. Thus for example, if the dependent variable is personal 'income' and the factors are 'region' (North vs. South) and 'industry' (manufacturing vs. service), both jamovi and JASP will generate six post-hoc t tests comparing the four groups. In this way, jamovi and JASP improve upon SPSS, which (as of 2026) has not been capable of producing such interaction-related post-hoc tests.
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