Result for 0AEE9755BFA9383FAB641061913813BA4E85774C

Query result

Key Value
FileName./usr/bin/pttree
FileSize224
MD5A49F9DE2AA1D55ACF9896C3D514BF688
SHA-10AEE9755BFA9383FAB641061913813BA4E85774C
SHA-256BFBB3C157386B043B8390C5B177619EC842A244BB32625221948E71DD6CE9956
SSDEEP6:J0te/oLLaMtlAy0VAsOIBLAjaj+iQDFOLa1tQDaT/v:i+cKyLszBL2aG51m2zv
TLSHT168D0A7265980F8108ED789C75296983022AF69B77D01480910D08937E682A951D54E28
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD594271992B0A49546B72F07AD0741194D
PackageArcharmv7hl
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).
PackageMaintainerneoclust <neoclust>
PackageNamepython3-tables
PackageRelease1.mga9
PackageVersion3.7.0
SHA-1FC8B064172799D28DD12EF3C1BFE8EF0F35919F5
SHA-2563CBADBA3E551754A9F106E1F2E77F609CE4F42835E3D9D677CA6CC18027C49CB
Key Value
MD5B526966DF455CFB075548F8CD20AC233
PackageArchx86_64
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).
PackageMaintainerneoclust <neoclust>
PackageNamepython3-tables
PackageRelease1.mga9
PackageVersion3.7.0
SHA-19973423C3CB1CE0F5ABE7558C0639516FA896D66
SHA-25653F1D43D71702BA4F92989D18CD774F50AE0BE2EC7F1A0C996D34E56F2E4BC63
Key Value
MD59E65A7E425EA5B2EA644CC941589B36E
PackageArchi586
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).
PackageMaintainerneoclust <neoclust>
PackageNamepython3-tables
PackageRelease1.mga9
PackageVersion3.7.0
SHA-1A9358EA92C760EFD97F289CD9C539BD43105EF94
SHA-256AE978244F890C930897BBEA6503860B91BFB74859910BEAD3EAE9CBBEF4870B4
Key Value
MD5469BA2DA942B6AB78CB705F3F7D1BAC0
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).
PackageMaintainerneoclust <neoclust>
PackageNamepython3-tables
PackageRelease1.mga9
PackageVersion3.7.0
SHA-18B4E8FE0D62B1914E90B0EB706DB818C4D25FFEE
SHA-2562E709179F16BC5E82AF4802DEAC8C9BA05FEE517D653EFE90F25C91E145813D5