{"library":"griddataformats","type":"library","category":null,"description":"griddataformats is a Python library for reading and writing data on regular grids. It provides a standardized way to handle gridded data, often used in scientific computing, meteorology, and other fields. The current version is 1.1.0, and it offers robust support for common formats like NetCDF and GRIB2 through optional dependencies.","language":"python","status":"active","version":"1.1.0","tags":["data-formats","scientific-computing","geospatial","grids","netcdf","grib2","meteorology"],"last_verified":"Sun May 24","install":[{"cmd":"pip install griddataformats","imports":["from griddataformats.grid import Grid","from griddataformats.file import NetCDFFile","from griddataformats.file import GRIB2File","from griddataformats.common import Dimension","from griddataformats.common import Field","from griddataformats.common import Unit"]},{"cmd":"pip install griddataformats[netcdf]","imports":[]},{"cmd":"pip install griddataformats[grib2]","imports":[]},{"cmd":"pip install griddataformats[netcdf,grib2]","imports":[]}],"homepage":null,"github":"https://github.com/MDAnalysis/GridDataFormats","docs":"https://www.mdanalysis.org/GridDataFormats/","changelog":null,"pypi":"https://pypi.org/project/griddataformats/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":7.4,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/griddataformats/compatibility"}}