River

River is a Python library for machine learning on streaming data (online machine learning). Unlike traditional libraries that are trained in batch learning, River supports incremental learning, making it ideal for environments with a continuous stream of data. In this work, it is used for classification, regression, anomaly detection, concept drift management, forecasting and other techniques for real-time data, as well as for model evaluation with continuous updates