9 boosters for "geoscience" — open source, verified from GitHub, ready to install
dlisio enables Claude to read, parse, and extract data from DLIS/LIS well log files—critical formats in oil & gas and geoscience workflows. Essential for petrophysicists, geoscientists, and data engineers working with wireline logs.
mtpy enables geophysicists to process and model magnetotelluric data by reading EDI files, analyzing impedance tensors, and performing inversions for subsurface resistivity mapping. Essential for electromagnetic geophysics researchers and exploration professionals.
GemPy enables AI coding assistants to build 3D geological models with faults, folds, and unconformities from surface data, benefiting geoscientists, researchers, and engineers working on subsurface analysis and visualization.
GPRPy enables Claude to process and visualize ground-penetrating radar data through signal processing, velocity analysis, and depth conversion—essential for geophysicists, archaeologists, and civil engineers analyzing subsurface structures.
bruges enables Claude to perform advanced geophysical calculations including AVO responses, fluid substitution, wavelet generation, and rock physics modeling—essential for seismic analysis and exploration workflows.
ObsPy booster enables seismic data processing, waveform analysis, and earthquake research by providing access to read multiple seismic formats, fetch FDSN data, and perform signal processing tasks. Geoscientists, seismologists, and geophysics researchers benefit from streamlined earthquake data workflows.
Enables Claude to compute surface wave dispersion curves for layered Earth models using the Thomson-Haskell matrix method, essential for seismic wave analysis and geophysical inversion workflows. Geophysicists and seismologists benefit from automated dispersion modeling for tomography and Earth structure studies.
Welly is a specialized toolkit for geoscientists to load, process, and analyze subsurface well log data from LAS files, enabling multi-well projects, curve processing, and cross-well analysis. It's essential for petroleum engineers, petrophysicists, and geoscientists working with well data.
Pooch enables reliable downloading, caching, and verification of geoscience datasets with automatic integrity checks and multi-source fallback support. Essential for researchers and developers working with large scientific data files who need reproducible, efficient data workflows.
