tofu stands for Tomography for Fusion, it is an IMAS-compatible open-source machine-independent python library with non-open source plugins containing all machine-dependent routines. It aims at providing the fusion and plasma community with an object-oriented, transparent and documented tool for designing tomography diagnostics, computing synthetic signal (direct problem) as well as tomographic inversions (inverse problem). It gives access to a full 3D description of the diagnostic geometry, thus reducing the impact of geometrical approximations on the direct and, most importantly, on the inverse problem. tofu is relevant for all diagnostics integrating, in a finitie field of view or along a set of lines of sight, a quantity (scalar or vector) for which the plasma can be considered transparent (e.g.: light in the visible, UV, soft and hard X-ray ranges, or electron density for interferometers).

tofu is command-line oriented, for maximum flexibility and scriptability. The absence of a GUI is compensated by built-in one-liners for interactive plots.

A sphinx-generated documentation and the code itself is hosted on GitHub.