Virtually all magnetic fusion devices resort to tomography diagnostics for a variety of plasma emissions. Reconstructing the signal from a simulated emissivity requires modeling the geometry and is used for code validation or diagnostic design. Solving the inverse problem is useful for data interpretation and requires geometry modeling and inversion-regularization routines. An open-source parallelized python library was developed to provide a common and reliable tool for solving the direct and inverse problems for synthetic diagnostics.