The GRAPES toolkit is a python toolkit we developed to rapidly transforms large datasets of separated particles into easily queryable tables of particles, particle characteristics, and radial particle characteristics. The tables are calculated using an updated version of the GREAT algorithm presented by Wade et al. . The new GREAT2 algorithm uses a parallelised multi-label anisotropic 3D euclidean distance transform (MLAEDT-3D) and scikit-image's regionprops function to calculate these tables from a grey-level image of particles and a corresponding labels segmentation. A number of useful particle characteristics are calculated (such as volume, diameter, Fig. (a) grey-level image intensity of a particle (b) radial layers of the particle as calculated by the toolkit. Both visualised using the viridis colormap.