Result for 285EB4CA1B38BF30C260809AD35F41FB8BFBB8CD

Query result

Key Value
FileName./usr/lib/python3/dist-packages/gdal.py
FileSize128
MD54F42FCB9B4DA04E7BA7F41899AAA4204
SHA-1285EB4CA1B38BF30C260809AD35F41FB8BFBB8CD
SHA-256DF47DD8D8E36C3E3437EB5AFAA5971AFC46599BD6B429E6E04F7CA8CA2DED705
SSDEEP3:SJgXRjdA6dybXKIwkmVQEexO3XLqQTxO3XLQH9zTwkmVQln:SJgBjdUzTJPDo3XLqIo3XLczVPln
TLSHT191B092E38AED714409968891D242E0238BB316C92F2C2C8053602B731369A886F424A0
tar:gnameroot
tar:unameroot
hashlookup:parent-total280
hashlookup:trust100

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Parents (Total: 280)

The searched file hash is included in 280 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5F778CB03412B71CF7CA1978B79EB2CEB
PackageArchnoarch
PackageDescriptionMinGW Windows Python3 GDAL bindings.
PackageMaintainerFedora Project
PackageNamemingw64-python3-gdal
PackageRelease1.fc33
PackageVersion3.1.3
SHA-1010168487D046DE897C7A120E0B72D22A6623DB0
SHA-25670BED6075D3A8EF3C0A1E0707F9C020AD8CC2FC1B392F181854EF05E44154AC2
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.1/packages//mips64el//py-gdal-2.1.3.tgz
MD5A49591429FF9DB050635401C27D2CCBB
SHA-101B482F811A705C69E57EACDF7A328DC059C0103
SHA-256C90A08630837ADE155E31370809C3E8D3B4C2E28BF074EEFFE9F1E74802AC719
SSDEEP12288:0WFrbis4hdB6BQQ9E12rp1wAl1+zVOxwY+v2kEO7Tw+7HNowZrHkqCcA:Tp43QiQqkrpj8awYEmaHZ9rHDI
TLSHT14EF433A0C4E5F6823E7E0383A0DD85A1D2D03E97646C2868B4EC55F68398F4FE665F49
Key Value
FileSize814384
MD50BC37A6B39C365FE224853FF1D4DB902
PackageDescriptionPython 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 bindings for GDAL/OGR library and a set of additional command line tools.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython-gdal
PackageSectionpython
PackageVersion2.4.0+dfsg-1+b1
SHA-101D1E372D907D456FEEB09E977E06CF39C980BEA
SHA-25690DA30FC467750B1AAAB1EC6059D5E0CAB3DC589EB2D5746C993B71C2F1DDE55
Key Value
MD57C1A65A80355EE6BE41F9034947A2FB5
PackageArchppc64le
PackageDescriptionThe GDAL Python 3 modules provide support to handle multiple GIS file formats.
PackageMaintainerFedora Project
PackageNamegdal-python3
PackageRelease5.fc24
PackageVersion2.0.2
SHA-101EC151A0CCC8B6301904B77015770501A658349
SHA-256AA2EA9C0978CCC10CB0397437C36E7FAFB9F91B621A486ADE95ACB25BAA29C30
Key Value
MD53856106B42A7916D7D6BE0064AAFC409
PackageArchs390
PackageDescriptionThe GDAL python modules provides support to handle multiple GIS file formats.
PackageMaintainerFedora Project
PackageNamegdal-python
PackageRelease12.fc17
PackageVersion1.7.3
SHA-1022CEBFE4F9D05692A58FA66DEA6FA9E54F9F2B5
SHA-2565897E4F60B5898647698452857E00D7F65FACD3EF8A08522DC21E51751EC4E9D
Key Value
FileSize322940
MD553A9061F936101ABEB6462C3F66DBF31
PackageDescriptionPython 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 and a set of additional command line tools.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-gdal
PackageSectionpython
PackageVersion1.10.1+dfsg-8+b3
SHA-103225275B2F4B6350EAEC2B6E730EE04F2271844
SHA-256F0CC568AEADB80EAE0266944D15185289116C0371BB67C28F1EAE5EC192448B4
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.5/packages//arm//py3-gdal-2.4.1.tgz
MD509A01F131A9E3A1877F453CBCA443B5A
SHA-103D29381EAB2B668F98BF874077D5A59648671F8
SHA-256D785EB5BAB287B1045EA21150B73F95ABC2AFC3CC445EA164A38F894122CC8B5
SSDEEP24576:1LMg7MVe3XoCfa5bkiLwfeWP39CQxSjY8ys8fLdsLMeZHhmaa42z:BDAeHhaX2eWPtjSpr8fpNeZHQRz
TLSHT1883533DB02B525A33A797949D4BBE0451513F980F3CF609CA353798B6ADFA2020EED1D
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/5.6/packages//sparc64//py-gdal-1.11.0.tgz
MD5F00BCAE0C1E6DBC8D0936F7DAA55FCA8
SHA-10530A6254B61773F197D074949AD603E20276E32
SHA-256760525375CC7D935F6B9CF4ABFEB8248FF6BFEEA23586990CAFCC0EC9EC204D6
SSDEEP12288:rrrRZ9xaQGN3cqNmxCPMhVYF4dB26dEb17doLqeSJJtz87eOom9KrRFPkYznDB++:GhsqN9MhVPT26dEb1JH787elmMf7DBFP
TLSHT11CC4236291BB500FA18C002CF5CEF73661F453FD7D30A8694B8AD4A85681DDE7EE2726
Key Value
MD5C56F92B5EF7BB423F95900170F19E6F0
PackageArchi586
PackageDescriptionThe Python 3 bindings for the GDAL library.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-gdal
PackageRelease2.mga7
PackageVersion2.4.1
SHA-1059659DD1A969054B23256DCC5EFAD430214E807
SHA-256618AE5E37EF1D203A18371F0061E0EC6BDB681BE68096922AEA1EBC81A6B5EB5
Key Value
FileSize471174
MD55D09EFF50C8045D868139D1E28367907
PackageDescriptionPython 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 bindings for GDAL/OGR library and a set of additional command line tools.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython-gdal
PackageSectionpython
PackageVersion1.10.1+dfsg-8+b3
SHA-1066611B1B1624DFE4243680F38002697A8891EE0
SHA-2560C6D1A4C45B7A1EDA3BFD69693B9445AE8ABDD72307DF8C80D3A91EBD87D1102