Result for 251A0AC8E3DFD6DC62CDBAA8A5925CADB2E610F2

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/seaborn/__init__.py
FileSize478
MD5B45DC836DA3B6BB38D56142A0E8C9531
SHA-1251A0AC8E3DFD6DC62CDBAA8A5925CADB2E610F2
SHA-256DDE2CD70B56DA27ACD7590FA5AD42910851C3BB0D35AD1489B4382DF50B1DC9A
SSDEEP12:0w1CVcv1a6riX08XD068f4YBvrQKU8JevtpZhwvn:pIbo6YpL
TLSHT163F0F22F277BBB1216FFEAC04240B9707B3354317F02458D118577362789A888D50376
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5B0F143536823B94109DD57ECF6344525
PackageArchnoarch
PackageDescriptionSeaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.
PackageMaintainerFedora Project
PackageNamepython3-seaborn
PackageRelease5.fc33.1
PackageVersion0.10.1
SHA-1F0DD7C0FCCE9F81BFC03158432D934A5F5196C8B
SHA-2561B0F92EFDDD3D886C24C4DA11AEE9EBC1359AD3A52649FD6CB29CDA8015879BC
Key Value
FileSize154828
MD536D7783A1EEC7154B7EAD0676A839CE7
PackageDescriptionstatistical visualization library for Python3 Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 3 version of the package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-seaborn
PackageSectionpython
PackageVersion0.10.1-2
SHA-1D6B1F5DFCA7A7E0812DC8AA3661AC95407487096
SHA-2562332A0A5917D00A79EBBE99329F5934B2A7E661CC2070CC49B6B1CDD85E13BEC