{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/5"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/14"}],"enrichment":{"capability":"GridDataFormats reads and writes n-dimensional grid data from files, providing a unified Grid object interface for working with regular gridded datasets.","skillfed_tags":["scientific-computing","data-io","grid-data"],"use_cases":["Load volumetric density maps from molecular dynamics simulations and manipulate them as Grid objects.","Convert between different grid data file formats while preserving the underlying n-dimensional array.","Store computed scalar or vector fields on regular grids for later analysis or visualization.","Integrate grid data I/O into scientific data pipelines that work with multidimensional arrays."],"what_it_does":"GridDataFormats is a Python library for reading and writing n-dimensional datasets stored on regular grids. It abstracts away format-specific details by providing a unified Grid object that can load grid data from files, hold it in memory, and write it back out. The package is designed for scientific computing workflows where you need to work with gridded data\u2014such as density maps, volumetric fields, or other regularly-sampled multidimensional arrays\u2014without worrying about the underlying file format.\n\nThe package depends on numpy for array operations, scipy for numerical algorithms, and mrcfile for handling MRC-format files. It supports current Python versions and runs on macOS, Windows, and POSIX systems. With active maintenance since its first release in 2011 and a recent release on 2026-05-23, it is a mature, stable library used in scientific and research contexts.","worth_installing":"Yes. GridDataFormats is a mature, actively maintained library with low install friction and no known vulnerabilities. It fills a clear niche in scientific Python for unified grid data I/O. The LGPL-3.0-or-later license is permissive for most use cases but requires derivative works to remain open-source. Install it if you work with gridded scientific data."},"id":"griddataformats","links":{"html":"https://skillfed.io/packages/griddataformats","md":"https://skillfed.io/packages/griddataformats.md","pypi":"https://pypi.org/project/griddataformats/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-23","license_spdx":"LGPL-3.0-or-later","license_treatment":"copyleft","name":"GridDataFormats","python_support":"supports_current","summary":"Reading and writing of data on regular grids in Python"},"popularity":{"monthly_downloads":256919,"position":8453,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.2.0"}