geoh5py
Python API for geoh5, an open file format for geoscientific data
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.12 or later (supports 3.12, 3.13, 3.14); does not support Python 3.15+.
- Low friction installation with a pure-Python wheel.
- Active maintenance with a recent release (44 days old) and ongoing repository activity.
License · maintenance · safety
LGPL-3.0-or-later (copyleft) — Licensed under LGPL-3.0-or-later (copyleft). You may use and modify geoh5py freely, but any derivative works must also be distributed under LGPL-3.0-or-later and include source code availability.
last release 2026-07-01 (44 days) · last repo commit 2026-08-13 · 62 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 548,729 downloads/mo, #6,059 on PyPI
Alternatives
Verify before relying
pip install geoh5py
import geoh5py
# Create or open a geoh5 workspace to manipulate geoscientific data- Whether the package supports reading and writing all geoscientific data types (points, curves, surfaces, 2D/3D grids) with equal feature completeness.
- Performance characteristics and memory efficiency when working with large geoscientific datasets.
- Specific version compatibility or known issues with Geoscience ANALYST software versions.
What it is and 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—points, curves, surfaces, and 2D/3D grids—directly from Python, then visualize them in Geoscience ANALYST or integrate them with other Python scientific tools.
The 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
geoh5py on PyPI
Before you install
Low friction installation with a pure-Python wheel. Active maintenance with a recent release (44 days old) and ongoing repository activity. Depends on well-established packages: NumPy, h5py, Pillow, psutil, and pydantic.
Requires Python 3.12 or later (supports 3.12, 3.13, 3.14); does not support Python 3.15+.
License in practice
Licensed under LGPL-3.0-or-later (copyleft). You may use and modify geoh5py freely, but any derivative works must also be distributed under LGPL-3.0-or-later and include source code availability.
Quickstart
pip install geoh5py
import geoh5py
# Create or open a geoh5 workspace to manipulate geoscientific dataVerify before relying
- Whether the package supports reading and writing all geoscientific data types (points, curves, surfaces, 2D/3D grids) with equal feature completeness.
- Performance characteristics and memory efficiency when working with large geoscientific datasets.
- Specific version compatibility or known issues with Geoscience ANALYST software versions.
Package facts
| License | LGPL-3.0-or-later copyleft |
| Python support | Supports the current Python release <3.15,>=3.12 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesPillowh5pynumpypsutilpydantic |
| Maintenance | Actively maintained 44 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 548,729 / month, #6,059 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Science/ResearchNatural Language :: EnglishProgramming Language :: Python :: 3Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: DatabaseTopic :: Scientific/EngineeringTopic :: Scientific/Engineering :: MathematicsTopic :: Scientific/Engineering :: PhysicsTopic :: Software Development :: Libraries :: Python Modules |
Evidence: geoh5py-0.13.0-py3-none-any.whl
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See also xtgeo · h5py · GridDataFormats · pyvista · vispy · isosurfaces · h5netcdf · contourpy