First stable release of the VEHI-CL-E vehicle classification library. Classifies light duty vehicles into European segments (A-I standard, MPV, SUV, N-I/N-II/N-III vans) using a Bayesian statistical method based on physical characteristics. Highlights: - Pydantic v2 validation for input data and configuration - Multiple input formats: DataFrames, NumPy arrays, dictionaries - Train custom classification boundaries from labelled datasets - 34 pytest tests with reference dataset validation - Tutorial notebook with practical use-case examples Reference: Laveneziana et al. (2025), "A science-based approach to classifying light vehicles in Europe", Scientific Reports, 15, 9099. DOI: 10.1038/s41598-025-90625-9