Result for 09B7D90898499CE9CD80A9C4B173D619917C31D3

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.6/site-packages/tables/node.py
FileSize32702
MD54C2F4EB7EC73B2A358430970BF1824FD
SHA-109B7D90898499CE9CD80A9C4B173D619917C31D3
SHA-2563061C9EBB3A9719033FF478F5BBF00A551081FBBC19BB54F096FB86DD53498B5
SHA-512DA739741C7587EBEC9A8D4B77A3B6F75CDF6FA592A32754270A39128A91DB58C9FA43BBE5E55EDD7A0AD4B3F443FB31DFB30574B44C520B19DEA991C3084CE4D
SSDEEP384:V/Tv0HYGfzdfnHAKh+9HnE9zGYanlKDGjhaSLRFfYSCSddArV:d0HrxfgfE9KL8DGjh7dFgSCSdM
TLSHT1D2E2B6AFE2412AFA07534F679DE6A176B34644AB169A14363CFCC18C2F4053482F6DED
insert-timestamp1727098276.5558753
mimetypetext/x-python
sourcesnap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
hashlookup:parent-total37
hashlookup:trust100

Network graph view

Parents (Total: 37)

The searched file hash is included in 37 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5F6B1856C145C80B850337BB7CC5C3CA0
PackageArchs390x
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data.
PackageMaintainerFedora Project
PackageNamepython3-tables
PackageRelease6.el8
PackageVersion3.5.2
SHA-1108B2B8D8CF9B770A4FA7E7A91608B926B13CE1F
SHA-256DEE9FE3D90FD8846931B2CC83D10234F12BFD035993D03F121DCCC865B4D5564
Key Value
MD5A6711D40935A0498DCB38CCCA50EA596
PackageArchx86_64
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-tables
PackageReleaselp150.1.1
PackageVersion3.4.3
SHA-12745858E209021A917301F734B2E2849A27A343F
SHA-256513BFBF8B63E50501936140C6A2D3C578F0F8BD43FE42DDB16AA792BFBA18BE5
Key Value
MD5B20C73D4C7E52B8984681A4AD435F65F
PackageArchx86_64
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data.
PackageMaintainerFedora Project
PackageNamepython3-tables
PackageRelease7.fc32
PackageVersion3.5.2
SHA-12EE6E905DCBE05632258B27A3C235E9C873419C5
SHA-256E86ADF46AF43FCD60B134362B06620E8C8AE6559FCED841945F76D90AB96A2E8
Key Value
MD58FB45407ECE2BC8B93652D37C760AB99
PackageArchaarch64
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data.
PackageMaintainerFedora Project
PackageNamepython3-tables
PackageRelease6.el8
PackageVersion3.5.2
SHA-143D238BF1FD76B09F77E7C3236FDC21740EE35BF
SHA-2565D8DA1BBBC063276FED10F09C9782072F8C041F7FB8F89168F9BD744B8F9B30F
Key Value
MD5E3BFC773BC1A8FD637D4444B7134A652
PackageArchx86_64
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data.
PackageMaintainerFedora Project
PackageNamepython3-tables
PackageRelease10.fc33
PackageVersion3.5.2
SHA-152D8C5472542A2BA4182806C1AA738DEC8398AFB
SHA-25655DAFF61DA2F2132507D7F012C846F2D0E72411F31EA94DD51E758FE4E234986
Key Value
FileSize324596
MD59AF3480B7FC56839E2B1F5BD36998233
PackageDescriptionhierarchical database for Python based on HDF5 PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data. . It is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively save and retrieve very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that they take much less space (between a factor 3 to 5, and more if the data is compressible) than other solutions, like for example, relational or object oriented databases. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy objects. . This is the Python 2 version of the package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-tables
PackageSectionpython
PackageVersion3.4.2-4
SHA-15861A0EC8CDA16EA609C91674308E8ABB2E4B350
SHA-256D2C765B3D0A826CD8620FAC8462080BE63890979CD540DA11221601B6510CFE6
Key Value
FileSize331182
MD5DED9C0AEB49EF7B5002C7FDA6D371FA3
PackageDescriptionhierarchical database for Python3 based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 3 version of the package.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-tables
PackageSectionpython
PackageVersion3.3.0-5
SHA-1594CD9D1FE8D5523B3DE704DF76C5093AE0E40DA
SHA-25640EB388132551194AE620ED88EACB65E700EBB85A975300E09D041A45DA70B98
Key Value
MD5CFDC23AD0E42C3053D1A9CA79D7A71A6
PackageArchx86_64
PackageDescriptionPyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data.
PackageMaintainerCBS <cbs@centos.org>
PackageNamepython3-tables
PackageRelease6.el8
PackageVersion3.5.2
SHA-168EF548C567AF570FB4FB5361C557C91ACC2DF42
SHA-256A3342D8DDA7703F32C65ABC3E7EA1C803B0504E382178704092B33A4E791094F
Key Value
FileSize341310
MD5EBDCD62CF323B3107E5475F0DE8DF1EA
PackageDescriptionhierarchical database for Python based on HDF5 PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This is the Python 2 version of the package.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-tables
PackageSectionpython
PackageVersion3.3.0-5
SHA-177CF76FCF930C9BB6ABA6CCE377EC2418AE37181
SHA-256FD0DB23E473B8DEA620EB82E55BD64D7B70D51FC39A48787789F7556FB1FBAEB
Key Value
MD5786A3B4DAACF73D0F57F60257AE5261B
PackageArchaarch64
PackageDescriptionPyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-17C6ED5E3685AE063DE05F97DFA83763D7A943E1E
SHA-2563015665056494DD6D58B40CAAD5099FEFE1148C2E3C7CB65A9E44B830F2E659F