Mlforecast is a Python library that enables machine learning-based time series forecasting at scale. It integrates with distributed computing frameworks like Dask to handle massive datasets across remote clusters. The library provides a standardized interface for training gradient boosting models (LightGBM, XGBoost) on temporal data for forecasting tasks in domains such as finance and supply chain.