PyTorchTS is a probabilistic time series forecasting framework built on PyTorch that leverages GluonTS as its backend API. It provides state-of-the-art time series models including DeepAR, LSTM Net, and N-BEATS for training and backtesting on time series data. The framework handles data loading, transformation, and evaluation for forecasting tasks.