Parents (Total: 51)

The searched file hash is included in 51 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.9/packages//powerpc64//py3-tables-3.6.1p2.tgz
MD5	816A87916A51792B2355C9514261DEF5
SHA-1	066CD20F360022E36C3CB0F00C9B426EA3AC6571
SHA-256	D43601B7B6E158F2B5DF760C7D8B04486A47B3033F47D7D02B507739E7E4919D
SSDEEP	49152:ZU6PA8H4Ejg4GaPpdR5ftZFSyBgxbHDETpaQLih6:ZU6I8R71PPR5VZFSfx3E9aQLK6
TLSH	T1298533DC8A34B805C2E4F073B726A36D981A7D4497D4E9900F6884DBC1F598963FB9E3

Key	Value
MD5	65EF0AD20D1A80EF5704F7307657FE62
PackageArch	x86_64
PackageDescription	PyTables 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-tables
PackageRelease	bp154.1.52
PackageVersion	3.6.1
SHA-1	069A6DFDCEE9846387F273D6CBB7B1F174298EB8
SHA-256	2CDC8333BD5146BDDF60897406C8D9D622C2B4C5F7DE74BF1EB61EC919F4CD79

Key	Value
FileSize	333056
MD5	2B2226589988FD60B5B2E686C067086F
PackageDescription	hierarchical database for Python3 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 3 version of the package.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-tables
PackageSection	python
PackageVersion	3.6.1-2build1
SHA-1	0D3518EA19BB9AD4BBCF1CD496729422749D08ED
SHA-256	046787334FDEFAD19E5D857A7501023981480C1449F8E780A2EED97AB017C7F2

Key	Value
MD5	151FF3A1C51A2A8B6A0227B3DFC74FA7
PackageArch	armv7hl
PackageDescription	PyTables 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).
PackageMaintainer	umeabot <umeabot>
PackageName	python3-tables
PackageRelease	4.mga9
PackageVersion	3.6.1
SHA-1	105B39AC32E6FFA617693034F3874940EC0995B3
SHA-256	9614726E99FF1946623377A8F087117D590807CDF24B0AF14BC77AD70A87C243

Key	Value
MD5	A2C0B5EA403C08E3552C9198D0DEA7E5
PackageArch	x86_64
PackageDescription	PyTables 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-tables
PackageRelease	bp155.2.14
PackageVersion	3.6.1
SHA-1	1B7A3701F36F851FA782CE206CF0B09E88D2321B
SHA-256	C3EE6E9773E08865348C08C8C691D12B4A8976A774AED4A52A24C25EB1F90D4A

Key	Value
MD5	C13F89F6E7C12420F748BA7FA4FF4F44
PackageArch	i586
PackageDescription	PyTables 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python39-tables
PackageRelease	4.6
PackageVersion	3.6.1
SHA-1	1C432407383388B01A608EF7AC728923135BC67A
SHA-256	369BB09E90E5C48D841A2B584D0A465EF230C60710764A2D44035A84EB5C00C0

Key	Value
MD5	DCE169064DFCEF475256C218DAA011E1
PackageArch	x86_64
PackageDescription	PyTables 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.
PackageName	python3-tables
PackageRelease	lp152.4.1
PackageVersion	3.6.1
SHA-1	1DDCC3E381706C8F3EA219F1A8D4F508DF1DC16C
SHA-256	722916625C88F8A2C6289AF3702216015C20FE693987085DB379B873B339C8FB

Key	Value
MD5	54C154234EA03E26426E3D2126147111
PackageArch	x86_64
PackageDescription	PyTables 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python3-tables
PackageRelease	bp156.3.9
PackageVersion	3.6.1
SHA-1	241AE205804CBC23679C674134ED3CACC362B247
SHA-256	CA52A1948D692649F50B0E4A4716A6F9A68EEEF03B1BEEB633518BBA535462AF

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.8/packages//amd64//py3-tables-3.6.1p1.tgz
MD5	4F3FB39DDF62FF4A446ED7928300AEA6
SHA-1	2840CA9DB600BAF3BA6788B66921927153307EC2
SHA-256	E5C7C256BE64CF1A4A492479518550A3882B5A9A28186CDFE4106B5D4518ECFD
SSDEEP	49152:sSefTnVAWmG/vQPDKVCjxanixzc7r/oaJoO+EcgT8sliRWSxzJLf40xbHk3bBTpm:sxnVHN/UKkQnSo7rlqJgTwWYf40xa9a/
TLSH	T172E53390C9A248E880F0F972FFC34BE3EF136145A589F829460AD7DBF5FA548608F655

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.8/packages//arm//py3-tables-3.6.1p1.tgz
MD5	317F68D0893DC64F929CE83CF9181B13
SHA-1	299A3676E44FE4E3610C4664CDA131732AABE109
SHA-256	68620EC3026CF5FFDF574DA4BD80BDF22D04A4D9FF88B701482B0409C4B4CBBE
SSDEEP	49152:b6PCN0nX/d3v8DmlNR+7/j4j+xbHkSTpaFa:b6qGZkAI7/jpx19aFa
TLSH	T12F95336C69795492C8F49371B310033D6C1CE201E242FAAA2D36DEF5C6AC179E7B36E5