xtgeoviz
Plotting library for xtgeo objects
Decision gist · record as of 2026-08-14
Yes, if you work with xtgeo objects and need straightforward plotting. Low install friction, active maintenance, and no known vulnerabilities support adoption. The copyleft license (LGPLv3) requires that any modifications or derivative works remain open-source; this is a non-issue for internal use but matters if you plan to embed or redistribute modified versions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later.
- Low install friction with a pure Python wheel.
- Active maintenance with a recent release 44 days ago.
License · maintenance · safety
copyleft license (copyleft) — Licensed under LGPLv3 (copyleft). Derivative works and modifications must be distributed under the same license; proprietary applications using this library must comply with copyleft obligations or obtain an alternative license.
last release 2026-07-01 (44 days) · last repo commit 2026-08-14 · 4 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 127,432 downloads/mo, #11,744 on PyPI
Alternatives
Verify before relying
pip install xtgeoviz
import xtgeoviz.plot as xtgplot
import xtgeo
surf = xtgeo.surface_from_file("somemap.gri")
xtgplot.quickplot(surf)- Specific plotting capabilities and supported xtgeo object types beyond the quickplot example
- Performance characteristics with large datasets or complex geometries
- Interactive vs. static plotting modes and customization depth
What it is and what it does
xtgeoviz is a thin plotting layer built on top of xtgeo and matplotlib, designed for visualizing subsurface and geospatial data common in energy and reservoir engineering. It wraps matplotlib to provide convenient functions for rendering xtgeo objects without requiring users to write low-level matplotlib code directly.
The package depends on PyYAML, matplotlib, numpy, scipy, and xtgeo. It is in beta (Development Status 4) and actively maintained. It requires Python 3.11 or later and is available as a pure Python wheel, making installation straightforward across common platforms.
Use it for
- Quickly visualize subsurface surfaces loaded from xtgeo without writing matplotlib boilerplate
- Generate plots of reservoir maps and geological structures in energy workflows
- Explore and validate geospatial data during subsurface modeling and analysis tasks
- Integrate plotting into scientific Python pipelines for reservoir engineering work
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you work with xtgeo objects and need straightforward plotting.
Low install friction, active maintenance, and no known vulnerabilities support adoption. The copyleft license (LGPLv3) requires that any modifications or derivative works remain open-source; this is a non-issue for internal use but matters if you plan to embed or redistribute modified versions.
Install
xtgeoviz on PyPI
Before you install
Low install friction with a pure Python wheel. Active maintenance with a recent release 44 days ago. Supports Python 3.11, 3.12, 3.13, and 3.14 across macOS, Windows, and Linux.
Requires Python 3.11 or later.
License in practice
Licensed under LGPLv3 (copyleft). Derivative works and modifications must be distributed under the same license; proprietary applications using this library must comply with copyleft obligations or obtain an alternative license.
Quickstart
pip install xtgeoviz
import xtgeoviz.plot as xtgplot
import xtgeo
surf = xtgeo.surface_from_file("somemap.gri")
xtgplot.quickplot(surf)Verify before relying
- Specific plotting capabilities and supported xtgeo object types beyond the quickplot example
- Performance characteristics with large datasets or complex geometries
- Interactive vs. static plotting modes and customization depth
Package facts
| License | copyleft license copyleft |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesPyYAMLmatplotlibnumpyscipyxtgeo |
| Maintenance | Actively maintained 44 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 127,432 / month, #11,744 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/ResearchLicense :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)Natural Language :: EnglishOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: PhysicsTopic :: Software Development :: LibrariesTopic :: Utilities |
Evidence: xtgeoviz-0.3.2-py3-none-any.whl
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See also xtgeo · plotbin · Cartopy · contextily · splot · leafmap · gstools · geemap · pyvista · resfo-utilities