tinycs is a minimal compressed sensing (CS) toolkit designed to allow MR imaging scientists to design undersampled acquisitions and reconstruct the resulting data with CS without needing to be a CS expert.
Currently, TinyCS supports Cartesian geometries with a total variation constrained reconstruction only. If there is sufficient interest, I can add additional acquisition designs and sparsity constraints.
The Cartesian reconstruction is based on the split Bregman code written by Tom Goldstein, originally available here: http://tag7.web.rice.edu/Split_Bregman.html