  We present Continual Inference, a Python library for implementing Continual
Inference Networks (CINs) in PyTorch, a class of Neural Networks designed
specifically for efficient inference in both online and batch processing
scenarios. We offer a comprehensive introduction and guide to CINs and their
implementation in practice, and provide best-practices and code examples for
composing complex modules for modern Deep Learning. Continual Inference is
readily downloadable via the Python Package Index and at
\url{www.github.com/lukashedegaard/continual-inference}.
