River

River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition is to be the go-to library for doing machine learning on streaming data.

Here are some benefits of using River (and online machine learning in general):

• Incremental: models can update themselves in real-time.
• Adaptive: models can adapt to concept drift.
• Production-ready: working with data streams makes it simple to replicate production scenarios during model development.
• Efficient: models don't have to be retrained and require little compute power, which lowers their carbon footprint
• Fast: when the goal is to learn and predict with a single instance at a time, then River is an order of magnitude faster than PyTorch, Tensorflow, and scikit-learn.