This is quite a general question, perhaps somewhat opinion-based.
In most papers people use boxplots to visualize a certain distribution, yet violinplots are able to give more information. Violinplots are made by performing a kernel density estimation on your distribution.
Are there objective arguments to use one over the other? Or maybe there are specific situations in which one would prefer one over the other?
An example of both can be found here: