Package: python3-gdal (3.2.2+dfsg-2+deb11u2)

[ Source: gdal  ]

Python 3 bindings to the Geospatial Data Abstraction Library

GDAL is a translator library for raster geospatial data formats. As a library, it presents a single abstract data model to the calling application for all supported formats. The related OGR library (which lives within the GDAL source tree) provides a similar capability for simple features vector data.

GDAL supports 40+ popular data formats, including commonly used ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in GIS and remote sensing software packages (ERDAS Imagine, ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote sensing and scientific data distribution formats such as HDF, EOS FAST, NOAA L1B, NetCDF, FITS.

OGR library supports popular vector formats like ESRI Shapefile, TIGER data, S57, MapInfo File, DGN, GML and more.

This package contains Python 3 bindings for the GDAL/OGR library.

Tags: Software Development: Python Development, Libraries, Implemented in: implemented-in::c, implemented-in::c++, Python, Role: Development Library

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  dep: libc6 (>= 2.17) [arm64, ppc64el]

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  dep: libgcc-s1 (>= 3.5) [armel, armhf]

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• dep: libstdc++6 (>= 5.2)

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Architecture	Package Size	Installed Size	Files
amd64	867.1 kB	3,182.0 kB	[list of files]
arm64	828.6 kB	3,148.0 kB	[list of files]
armel	807.7 kB	2,970.0 kB	[list of files]
armhf	824.6 kB	2,630.0 kB	[list of files]
i386	848.5 kB	3,079.0 kB	[list of files]
mips64el	774.3 kB	3,418.0 kB	[list of files]
mipsel	776.4 kB	3,308.0 kB	[list of files]
ppc64el	853.0 kB	3,705.0 kB	[list of files]
s390x	823.9 kB	3,188.0 kB	[list of files]