leblanc is a modular Python library designed for the rapid generation of large-scale synthetic datasets across various business sectors. It is primarily built using Pandas, NumPy, and Faker to create realistic, structured DataFrames suitable for Data Science training, testing, and exploratory data analysis (EDA).
