Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/osgeo/gdal.py |
FileSize | 148602 |
MD5 | 9183B75399AD2C26BD0119D9BFEA80E4 |
SHA-1 | 2E9DE7C9644BDE428EA2D5FCBDA1F4FB4CFC6678 |
SHA-256 | 89467EEA41FCEF7E87B1D4E35CF0AF4C534A6BCCB40C081788EC4937A33CC03C |
SSDEEP | 1536:DSpt0Gya6+4vssg8t9LHfWXTAc8aBmC9L6RRNZXIKjrpxL3:DSpt0AnFBmC9LUNHxL3 |
TLSH | T165E3A606D43C9D72C94BA6F998D6A2196B38B9A3245A217C7C7CD3E43F3211CD1F29E4 |
hashlookup:parent-total | 12 |
hashlookup:trust | 100 |
The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 588020 |
MD5 | E8B766D96412C4EE1E7EE891AC0842D0 |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | ADF41C494756DCD36AE06D8595857D82DBE891C3 |
SHA-256 | 082D66FC8261078968958CA1A80CEA3A1C8009B7E927B498F9C5079576D0F4FC |
Key | Value |
---|---|
FileSize | 529704 |
MD5 | 17AD3EF103D32FFB87AA6B636B8907BB |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | A92631E2D0313C3925CF086B7F6DF39DF8A5336B |
SHA-256 | BCF1A7E89DFDBE533AB902D4441C0F4DE205A10952411BE134C5DBB6BFD3436A |
Key | Value |
---|---|
FileSize | 535952 |
MD5 | F4C4E40B5E6ADFE50458757EFBB9E502 |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | 4F6561855B8ED87D24F57069C62D84E7E8585E05 |
SHA-256 | C66D2461C73AB56208F95C60F579FCA01DE92CB09851586B397424D97236FFB9 |
Key | Value |
---|---|
MD5 | 467CD6D32CB7FAD5F70D7347D2688C5E |
PackageArch | x86_64 |
PackageDescription | The GDAL python modules provide support to handle multiple GIS file formats. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python3-GDAL |
PackageRelease | lp151.2.1 |
PackageVersion | 2.4.1 |
SHA-1 | 58F8B8C0C3DDD8B8D710FBCFEE71C8CB3ABF6A6A |
SHA-256 | 4EB01C3BBB4E97C9FF5ECE23DAC3673F68E38028065897F9E220A1594B402EC7 |
Key | Value |
---|---|
FileSize | 572572 |
MD5 | 1802FFEE8E2ED8F754D6A8C7AF0C7742 |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | 1FE6B8D88DEBBE065C04E91DBD6C9A277E563655 |
SHA-256 | 247ACB07A9FCD7719A28EB4EAF323EDAD04EBF5F65CF29981B260E5C9E3799A0 |
Key | Value |
---|---|
FileSize | 522520 |
MD5 | 011F9A3CA747A9F7981916C944580B1D |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | 240D501064B7CDDE815B15B031DA653E4D213051 |
SHA-256 | AD253CF21B85D4F6BA1D55C82E2F0EE5E7F55E4BE67869617DC87D90407710A6 |
Key | Value |
---|---|
FileSize | 600784 |
MD5 | 1541D90D1058C722E34F06E27EF17E35 |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | 5DE62FD66681D5F3D1FD75FC8E42033B34BD3B46 |
SHA-256 | 4921C6753F7BBB8E153A30077578DBA3591B15B0737854897BD6BBE8B5F1B0E5 |
Key | Value |
---|---|
MD5 | BC1452581456C2086DEB03508F8060EA |
PackageArch | x86_64 |
PackageDescription | The GDAL python modules provide support to handle multiple GIS file formats. |
PackageName | python3-GDAL |
PackageRelease | bp151.35.7 |
PackageVersion | 2.4.2 |
SHA-1 | 0CADEBD09819251D229E9CD4C1BE42492B23DDD4 |
SHA-256 | 368980A39B04B94E1D8902B1F71C6E8F7307CD9D697FFD23839CE474E0DAA9A5 |
Key | Value |
---|---|
FileSize | 561884 |
MD5 | 5ADC8ED21548EF8EF9EF27E0EE8FB3D8 |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | 71EEF2A5751B811178FF5995A6AB330D5B9B7720 |
SHA-256 | 49C9158009E56777FE0A134EDD97165544C39A37E291CC4B2CA0C8C232602464 |
Key | Value |
---|---|
FileSize | 530016 |
MD5 | 7C48D54DE6F155CBDE80F14345AE8312 |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | 762F209C9952B5697D4B1E079B0E3049EFA636CB |
SHA-256 | 5B70488518D5FCBB9146F97FC8388D72572C22B08610CDC466A9BCBFFC294ECA |
Key | Value |
---|---|
FileSize | 550444 |
MD5 | ED9BEFF4D0B85B455FEB6583D142FC9B |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | 9BE03C1F23D448144830C360758EF600CB1725D9 |
SHA-256 | 51FDFA7DC1D717DFFCD7AAD0DB16C56BA4F7A6F2E8B5924A73D5496C9F1ACA7F |
Key | Value |
---|---|
FileSize | 580240 |
MD5 | 91F64B68301011EAA2A8521F79388031 |
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 | 2.4.0+dfsg-1+b1 |
SHA-1 | 6107D386D4DB7D916EBF20C847898BBE75AD5555 |
SHA-256 | 2AA92B6F3F7AF05E3F68ACD3D4B4DC6E55E90D26426C59CE2FB8262095AFFB4F |