ABSTRACT This paper aims to describe and evaluate FiT, a software that streamlines the process of analysing animal growth curves. It is characterized as a web-based software, developed using the Python and R languages, that adjusts the parameters of the classical nonlinear models Brody, Von Bertalanffy, Logistic and Gompertz. These parameters are estimated using the nlsLM function from the minpack.lm package of R. For model comparison, FiT calculates the mean square of the residuals, coefficient of determination, Akaike information criterion, […]