{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/11"},{"label":"Database","url":"https://skillfed.io/packages/category/database/3"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/2"},{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"}],"enrichment":{"capability":"geoh5py provides a Python API to read, write, and manipulate geoscientific data (points, curves, surfaces, grids) in the geoh5 file format, enabling interoperability with Geoscience ANALYST visualization software.","skillfed_tags":["geoscience","hdf5-format","data-interoperability"],"use_cases":["Automate batch processing of geological survey data stored in geoh5 format without manual Geoscience ANALYST interaction.","Convert and integrate geoscientific data from other formats into geoh5 for standardized storage and visualization.","Build custom analysis pipelines combining geoh5 data with NumPy, SciPy, or other Python scientific libraries.","Programmatically create synthetic or processed geoscientific grids and surfaces for simulation or modeling workflows.","Export processed geophysical inversion results or survey interpretations back to geoh5 for team collaboration."],"what_it_does":"geoh5py is a Python library for working with the geoh5 file format, an open standard for storing and exchanging geoscientific data. It lets you programmatically read, create, and modify geoscientific datasets\u2014points, curves, surfaces, and 2D/3D grids\u2014directly from Python, then visualize them in Geoscience ANALYST or integrate them with other Python scientific tools.\n\nThe package wraps h5py and NumPy to handle the underlying HDF5 storage and array operations. It's maintained by Mira Geoscience and targets Python 3.12+, with active development and no known security vulnerabilities. It's useful for geologists, geophysicists, and data engineers who need to automate data workflows, share data across tools, or build custom analysis pipelines around geoscientific datasets.","worth_installing":"Yes. geoh5py is actively maintained, has low install friction, no known vulnerabilities, and fills a specific role in the geoscience Python ecosystem. Install it if you work with geoh5 data or need to integrate geoscientific datasets with Geoscience ANALYST. The LGPL-3.0-or-later license is permissive for most use cases but requires source disclosure if you distribute derivative works."},"id":"geoh5py","links":{"html":"https://skillfed.io/packages/geoh5py","md":"https://skillfed.io/packages/geoh5py.md","pypi":"https://pypi.org/project/geoh5py/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-01","license_spdx":"LGPL-3.0-or-later","license_treatment":"copyleft","name":"geoh5py","python_support":"supports_current","summary":"Python API for geoh5, an open file format for geoscientific data"},"popularity":{"monthly_downloads":548729,"position":6059,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.13.0"}