  Parameter identifiability describes whether, for a given differential model,
one can determine parameter values from model equations. Knowing global or
local identifiability properties allows construction of better practical
experiments to identify parameters from experimental data. In this work, we
present a web-based software tool that allows to answer specific
identifiability queries. Concretely, our toolbox can determine identifiability
of individual parameters of the model and also provide all functions of
parameters that are identifiable (also called identifiable combinations) from
single or multiple experiments. The program is freely available at
https://maple.cloud/app/6509768948056064.
