Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-35m-powerpc64le-linux-gnu.so |
FileSize | 673472 |
MD5 | FFFF2A3092092BE76B6241422B8315AC |
SHA-1 | 696FC3789C61B45B36C5328291BD702FDB2742E1 |
SHA-256 | F8A515F6613D7A123029DB443EDD5B28AA9084AC822A433599F2BF9EF8412A07 |
SSDEEP | 6144:3NyaoWJOGgCFBEoPXoe7ShOcdow70dWGBCw3AP0v0XCza0vt0rWg0Q:3Ezteydr7eWGBCw3AcvK9rt0 |
TLSH | T1BAE40A0D390CCB93DB43387A42BEB1D1B715F89813A494D1B511133F6AAE9375ABFA48 |
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 | 471954 |
MD5 | 366C5541E12A478EF73C16A2C6CD981D |
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 GDAL/OGR library. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 2.1.2+dfsg-5 |
SHA-1 | 7DC47601241D49FDE6CB32765A493899F7D2D2FA |
SHA-256 | D8F95EF8663A957D428C0F10B3C68A1463AF3FEC1A18E05376E2FEA6A0F33408 |