MicroPython vs. SquareLine Studio vs. StarCoder vs. ggplot2 Comparison Chart

Next-generation UI editor for individuals and professionals to design and develop beautiful UIs for your embedded devices quickly and easily. Exports platform-independent C or MicroPython code for LVGL which can be compiled for any vendor's device. Just click the play button to try out the UI instantly without rebuilding it in a pixel-perfect preview. Create custom components from the built-in widgets using styles, animations, and events. SquareLine Studio exports plain C or MicroPython code so you can use it on any platform. IoT, smart home and home automation, wearable instruments, automotive, medical devices, and many more. Even for 4K displays in kiosk devices or multi-platform desktop applications. Unlike in other prototyping tools, in SquareLine Studio you can build the UI from fully functional components. SquareLine Studio offers flexible licenses for all use cases, including personal use, startups, and large companies as well.

ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behavior of existing functions, and if we do make changes to existing behavior we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.