  In this paper, we present Insertus.jl, the Julia package that can help the
user generate a randomization sequence of a given length for a multi-arm trial
with a pre-specified target allocation ratio and assess the operating
characteristics of the chosen randomization method through Monte Carlo
simulations. The developed package is computationally efficient, and it can be
invoked in R. Furthermore, the package is open-ended -- it can flexibly
accommodate new randomization procedures and evaluate their statistical
properties via simulation. It may be also helpful for validating other
randomization methods for which software is not readily available. In summary,
Insertus.jl can be used as ``Lego Blocks'' to construct a fit-for-purpose
randomization procedure for a given clinical trial design.
