GluonTS is a toolkit that is specifically designed for probabilistic time series modeling and is a part of the Gluon organization. Gluon is an open-source deep-learning interface that allows developers to build neural nets without compromising performance and efficiency. 


GluonTS simplifies the development of and experimentation with time series models for common tasks such as forecasting or anomaly detection. It provides all the necessary components and tools that scientists need for quickly building new models, efficiently running and analyzing experiments, and evaluating model accuracy.