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

$\texttt{tapir}$: A tool for topologies, amplitudes, partial fraction decomposition and input for reductions