The incorporation of morphometric data into cladistic analyses poses methodological challenges, particularly in handling continuous characters and landmark configurations in matrices that include multiple individuals per taxon. Although the program TNT (Tree analysis using New Technology) has integrated functionalities for directly analysing continuous and morphogeometric characters, there remains a need for complementary tools that facilitate data preparation and processing. In this context, we present two open-source applications developed in Python: py_tps2tnt and py_tm2tnt. The former transforms TPS files containing multiple individuals per taxon, performs Procrustes alignments, calculates mean configurations, computes centroid size ranges, allows the selection of inter-landmark distances, and exports various types of data into TNT-compatible formats. The latter, py_tm2tnt, focuses o...