During the three decades since the invention of the first variability modeling approach [27], there have been multiple attempts to introduce advanced variability modeling capabilities. More recently, there has been increased attention on textual variability modeling languages. In this paper,we summarize the main capabilities of state of the art textual variability modeling languages, based on [23], including some updates regarding more recent work.We also provide a short discussion of some additional concerns that are relevant when designing (textual) variability modeling languages. From this perspective, the paper also summarizes relevant contributions the authors made to the field in earlier research.