PyRPL is short for the "Python Registration Prototyping Library" and it is
exactly that - a Python package built to facilitate the rapid prototyping of
image registration algorithms. The primary goal of PyRPL is to provide clear
and simple access to efficiently built and well documented fundamental image
registration components organized in an intuitive architecture.
From those components PyRPL also offers pre-built implementations of a large
number of published non-linear image registration models. PyRPL is built
to appeal to users at multiple levels: medical imaging scientists who want to
apply any of the many pre-built registration models to their data,
image registration engineers who want to use the modular fundamental
components to quickly realize and evaluate new registration models, and fine
scale Python developers who are interested in expanding PyRPL's fundamental
Please see the PyRPL homepage for the source code and documentation.