  FiniteFlow is a public framework for defining and executing numerical
algorithms over finite fields and reconstructing multivariate rational
functions. The framework allows to build complex algorithms by combining basic
building blocks into graphical representations of the calculation, known as
dataflow graphs. It offers an easy-to-use Mathematica interface for
implementing efficient custom algorithms without any low-level coding. We
report on some new features of FiniteFlow which have been published after its
initial release, give some simple example of usage for common tasks and review
recent cutting-edge applications to two-loop five-point scattering and the
four-loop cusp anomalous dimension.
