  The demand for precision predictions in the field of high energy physics has
dramatically increased over recent years. Experiments conducted at the LHC, as
well as precision measurements at the intensity frontier such as Belle II
require equally precise theoretical predictions to make full use of the
acquired data. To match the experimental precision, two-, three- and, for
certain quantities, even higher-loop calculations are required.
  To facilitate such calculations, computer software automating as many steps
as possible is required. Yet, each calculation poses different challenges and
thus, a high level of configurability is required. In this context we present
$\texttt{tapir}$: a tool for identification, manipulation and minimization of
Feynman integral families. It is designed to integrate in $\texttt{FORM}$-based
toolchains which is common practice in the field. $\texttt{tapir}$ can be used
to reduce the complexity of multi-loop problems with cut-filters, topology
mapping, partial fraction decomposition and alike.
