24 accessions of Cape gooseberry Physalis peruviana L. from The National University of Colombia campus Palmira's work collection were characterized using 27 morphologic descriptors (10 qualitative and 17 quantitative). Two different analyses were made, the multiple correspondence analyses (ACM) and the ascendant hierarchy classification for qualitative variables and the principal component analysis (ACP) for quantitative variables. The results showed that 65.64% of variability was explained with three axes in the ACM. The first axe with 38.53% contained the variables colour of petals, anthers, berry ripped and seeds. The hierarchy classification generated three groups. The two first axes in ACP analysis explained 32.04% and 17.02% of the variation. Besides, the highest variability was supported by different characteristics such as fruit weight, transversal and longitudinal size of fruit, dry and wet seed weight, seeds number and soluble solids content and also the hierarchy classification showed five groups. Furthermore, it was possible to establish five materials with potential to be processed, traded and improved because of the high weight fruit, low number of seeds and high Brix grades.