Superconducting quantum devices are at the heart of modern quantum technology, where they are used both as fundamental building blocks in larger quantum devices and circuits, but also as sensors in quantum metrology. These superconducting devices are often realized on a mesoscopic scale, bridging the microscopic and macroscopic regimes. However, our fundamental understanding of how superconductivity behaves on the mesoscopic scale is far from complete, partly because of the technical challenges with simulating such systems with full microscopic theory. To resolve these issues, we have developed the open-source framework SuperConga, based on the quasiclassical theory of superconductivity (Applied Physics Reviews 10, 011317 (2023); https://doi.org/10.1063/5.0100324), which can efficiently model mesoscopic superconductivity. SuperConga is the state-of-the art, combining a highly efficient implementation that runs on GPUs, with a user-friendly and well-documented interface. SuperConga is in continuous development (https://gitlab.com/superconga/superconga) and has previously been used to research a number of different topics published in high-impact journals, and in numerous student theses (https://superconga.gitlab.io/superconga-doc/about.html#research-using-superconga). There are currently several projects based both on extending the functionality of SuperConga, and for conducting research on mesoscopic superconductivity with a focus on unconventional and topological superconductors.