Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gnm.cpython-39-x86_64-linux-gnu.so |
FileSize | 88376 |
MD5 | 9B999F5A089752848DDBC8566771CA6B |
SHA-1 | 03696475072C19D0413FE2207536F7CF04BA88C0 |
SHA-256 | 6FA0B8B364563036D0980520464DE45680C43F871DA6AA414841DB0C765075F3 |
SSDEEP | 768:4CUnEtWIy+Hcr4Ecj/4/+7rh6dGqf722kmHZob58X/KWTWDIyYZX:Jmy8Elb4/Orhg722kcqCX/LTWDk |
TLSH | T124832D0BB2D15AFDC0EAC9348297A7227B60B441C9221F7F35146B3A1E51FA05F2DEB5 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
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FileSize | 906152 |
MD5 | 12C1DBDDA3825E26F84A1E32883EFF51 |
PackageDescription | 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. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 3.4.0+dfsg-1~exp1 |
SHA-1 | ABCF740DBDF0AE9B77AC3579045125D2E1F4D292 |
SHA-256 | 0AB1024C968AAC62DC54DEDE610E8EF868F540F1EC866A4601456CD59550F3F8 |