Most of the software we use for signal processing and data analysis is developed in-house to meet high demands. Technologies employed at our institute range from high-level analysis in Matlab, statistics in R and machine learning in Python to lower-level software development for laboratory environments in Go and C/C++. Testing our hypotheses in clinical trials calls for customized software implementation for proprioceptive Brain-Machine interfaces (e.g. an interface for a robotic exoskeleton), visualization of data (e.g. real-time 3D rendering of a model of an exoskeleton for guidance of the patient) and other laboratory software (e.g. a multi-perspective video recording system for quality control of the data).