  Wax is what you put on a surfboard to avoid slipping. It is an essential tool
to go surfing... We introduce WAX-ML a research-oriented Python library
providing tools to design powerful machine learning algorithms and feedback
loops working on streaming data. It strives to complement JAX with tools
dedicated to time series. WAX-ML makes JAX-based programs easy to use for
end-users working with pandas and xarray for data manipulation. It provides a
simple mechanism for implementing feedback loops, allows the implementation of
online learning and reinforcement learning algorithms with functions, and makes
them easy to integrate by end-users working with the object-oriented
reinforcement learning framework from the Gym library. It is released with an
Apache open-source license on GitHub at https://github.com/eserie/wax-ml.
