In recent years, the catchword “low-code” has evolved into what can be seen as a major trend in software development platforms. A growing number of vendors respond to this trend by offering software development platforms that promise limited need for coding only and a tremendous boost in productivity. Both aspects have been the subject of intensive research over many years in areas such as domain-specific modeling languages, model-driven software development, or generative programming. Therefore, the obvious question is how "low code" platforms differ from such approaches and what specific performance features they offer. Since there is no unified definition of “low-code”, the only way to develop an elaborate understanding of what it is – and might be – is to analyze the actual use of the term. For obvious reasons, it is not promising in this respect to rely on marketing announcements made by vendors. Instead, it seems more appropriate to examine “low-code” platforms. This research report presents a study of 10 relevant platforms, capturing and assessing common characteristics as well as specific features of individual tools. The study is guided by a method that consists of a conceptual framework, which provides a uniform structure to describe and compare “lowcode” platforms, and a process model that describes the sequence of steps.