Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-39-mips64el-linux-gnuabi64.so |
FileSize | 748320 |
MD5 | 0DE41C63224A067695E9730542E93FD9 |
SHA-1 | 09FBEB6B561781FC71EA6EA1CA02E3394AB2CB50 |
SHA-256 | 6693413949FE45A8A2BD52C3AD3E067305585981E78701A33E2BBEC06702FEBC |
SSDEEP | 12288:jbyghaZZfhDq2ktc0Vb/LzDK7ZJMVRdYSoVRXe2bJ02ndifsEAIgDBAStM4pptMz:wLmJ0/S/ |
TLSH | T1BCF42A582F442F12E4E5CF73007DD0A96B1CFCEB30529466BA686A76390B8F72DC6D49 |
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 | 805360 |
MD5 | 86B2530D826A52EAD5CE16D403901CC4 |
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 | C1913249E13DA4E1AE504DFD92820B9A43011566 |
SHA-256 | F2166CBE6D1FADE40845D3F412023690093AC5D926FAF3FDD39C5892EE2C55A5 |