Comesaña Figueroa, EnriqueGarcía Fernández, JuliánSeoane Iglesias, NataliaGarcía Loureiro, Antonio Jesús2026-01-222026-01-222025-05SoftwareX Volume 30, May 2025, 1021662352-7110https://hdl.handle.net/10347/45320We present MLFoMpy, a Python package for post-processing data from semiconductor device simulations. The software automatically extracts key figures of merit from current–voltage curves of field effect transistor and calculates statistical analyses for these curves. MLFoMpy also includes machine learning tools to predict figures of merit and current–voltage curves for devices with intrinsic variability. Additionally, it offers data visualization tools to plot current–voltage curves and statistical graphs.eng© 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC license. Attribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/Semiconductor device modelingNanoelectronicsData processingMachine learningPythonPytorch330714 Dispositivos semiconductoresjournal article10.1016/j.softx.2025.102166open access