EVMS v0.1.0 — First Public Release EVMS is a scientific Python framework for volumetric inversion of geological radioactivity from surface gamma measurements, with sparse forward modeling, regularized inversion, and a multipage Streamlit interface. Highlights Sparse voxel-based forward operator with attenuation and distance kernel. Tikhonov inversion with graph regularization. Layer-aware smoothing and finite fracture barrier support. Optional calibration workflow (relative units -> physical units). Inversion diagnostics: residual map, ||AS - M||, ||LS||, optional holdout error, trust report. Automatic parameter search for mu and R_max. Publication-ready Streamlit UI with: Inversion Workspace How EVMS Works Credits Mesh export with baked texture (OBJ + MTL + PNG) and volumetric export (.npy). Validation Test suite included (pytest) covering geometry, forward model, inversion, calibration, and diagnostics. Installation conda env create -f environment.yml conda activate evms-env pip install -e . Run streamlit run streamlit_app.py Project links Website maxsc4.github.io Contact : soarescorreia@ipgp.fr