It is really useful to have two sites of metabolism tools available that use contrasting methodologies, FAME 2 using curated dataset of experimentally determined metabolism data to build a machine learning model using simple descriptors. In contrast SMARTCyp uses precomputed activation energies from density functional theory (DFT) calculations of model compounds.

I previously wrote a script displaying the [results of a SMARTCyp calculation in a webview. The first part of the script imports the smartcyp.jar, however with each update I was finding issues so I thought it might be better to simply treat SMARTCyp as a command line application and use subprocess to access it.

Using a similar script we can also access FAME2

More details here.