Here, I introduce the softpotato Python library and its Desktop application version. The former contains typical electrochemical equations and a simulator that can be easily used to corroborate or compare experimental results, while the latter is thought as an alternative for teaching and easy visualization. The goal is to decrease the entry level barrier that poses learning a new programming language and help electrochemical researchers to automate data analysis and obtain immediate results after the experiments are finished. Data generation and collection is nowadays easily done via the potentiostat software, where most of them provide some sort of programmable capabilities to vary parameters and automate data extraction and saving. Doing this, an electrochemist can easily generate large data sets that require analysis, becoming a challenge if doing it manually. Instead, the softpotato library includes equations that are part of the electrochemistry toolbox such as Cottrell, Randles-Sevcik, limiting current of microdisc electrodes and their current responses, as well as the simulation of macroelectrodes. The library can be used for corroborating results or even fitting experiments to extract electrochemical parameters immediately after finishing a set of experiments, as the calculation is essentially instantaneous. This can help decrease the time spent by a researcher and improve their efficiency, as they will have immediate feedback to make quick decisions on the following experiments.