Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gnm.cpython-39-arm-linux-gnueabihf.so |
FileSize | 56764 |
MD5 | A90D5EE8C5E38FEE2A30F258F460DD76 |
SHA-1 | 0C308B87A9AABD271231D5DAAADA8DB0A9F09C20 |
SHA-256 | A974FA22AA2668E74F9CBE41211958AB6EC8D302DFA0F9AF8FD1FAA3C9035A6B |
SSDEEP | 1536:JzuaOSR/8j9PbvxqdtLM+NLnZVMG8yWwpI:JzISRc9PdqdtLM+NnMqW |
TLSH | T1FA432A86B60A46F3D4EE063B7152AA03274080D545DB0FDB65B497F12F42E21BDBEFA4 |
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 | 844040 |
MD5 | 70849A47131A18DCB052A687B63401F5 |
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 | 3.2.2+dfsg-2 |
SHA-1 | 34B138A16D654DCD3A39E607BE4D299411FD2E2A |
SHA-256 | 85A7409592C470F283098B8789E7B98AC36E08432D3A5B062EAF25247FE6D5BC |