{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/9"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"},{"label":"Utilities","url":"https://skillfed.io/packages/category/utilities/9"},{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"}],"enrichment":{"capability":"XTGeo manipulates subsurface reservoir modelling data\u20143D grids, surfaces, seismic cubes, and wells\u2014using NumPy and C backends for performance, with support for industry formats like RMS and Eclipse.","skillfed_tags":["geoscience","reservoir-modelling","subsurface-data"],"use_cases":["Load and modify 3D corner-point grids from RMS or Eclipse simulations, then export to a different format.","Read seismic cubes in SEGY format and perform spatial operations (e.g., extract values at well locations).","Manipulate regular 2D surfaces (maps) with rotation and resampling for reservoir analysis.","Batch process well trajectory and log data alongside grid and surface data in a single workflow.","Integrate subsurface data manipulation into a larger geoscience or reservoir engineering pipeline."],"what_it_does":"XTGeo is a Python library for reading, manipulating, and writing subsurface reservoir modelling data used in oil and gas exploration and production. It provides high-performance handling of 3D corner-point grids, 2D regular surfaces, seismic cubes (via segyio), and well data, with a C backend and NumPy/Pandas integration for speed. The library is built by Equinor and targets geoscientists and reservoir engineers working with reservoir simulation software like RMS.\n\nThe package supports multiple industry-standard formats (RMS, Eclipse, SEGY, Irap binary) and allows cross-data operations\u2014for example, slicing a surface with a seismic cube. It ships pre-built wheels for Python 3.11\u20133.14 on Linux, macOS (64-bit), and Windows, reducing installation friction. Well data, lines, and polygons are supported but noted as less mature than grid and surface handling.","worth_installing":"Yes, if you work with subsurface reservoir data in industry-standard formats. The package is actively maintained, has no known vulnerabilities, supports current Python versions, and offers wheels for all major platforms. The LGPL-3.0 license is permissive for most use cases but requires attention if you plan to modify and redistribute the library. Install friction is moderate due to C compilation, but pre-built wheels mitigate this for standard platforms."},"id":"xtgeo","links":{"html":"https://skillfed.io/packages/xtgeo","md":"https://skillfed.io/packages/xtgeo.md","pypi":"https://pypi.org/project/xtgeo/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":null,"license_treatment":"copyleft","name":"xtgeo","python_support":"supports_current","summary":"XTGeo is a Python library for 3D grids, surfaces, wells, etc"},"popularity":{"monthly_downloads":129681,"position":11662,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"4.25.1"}