Result for 3284262E860227419FEA272A5AB2A954DAE740C0

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Key Value
FileName./usr/share/doc/packages/python3-seaborn/licences/HUSL_LICENSE
FileSize1059
MD5BE32373AA5C5996AE9C9AE2FED7C0449
SHA-13284262E860227419FEA272A5AB2A954DAE740C0
SHA-256CFD1D7A3A2824AEB1BA88337697BE0F4C0D37B5F5AE1C1EFF360A9E553053A2B
SSDEEP24:2r4JHBH0yPP3gtAHw1hl9QHcsUv48Ok4/+dbo3oqxFD:28JplPvEDvQHcs5ITc3omFD
TLSHT10D11421E726407721C9613B065696CC4B26BB15FBAAF278414ADF344233A46CD5FBC54
hashlookup:parent-total54
hashlookup:trust100

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Parents (Total: 54)

The searched file hash is included in 54 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD51C87BD4F1866AA3668B287D9BC9578CC
PackageArchnoarch
PackageDescriptionHUSL is a human-friendly alternative to HSL (Hue, Saturation and Lightness) color space. This package provides Python2 support
PackageMaintainerFedora Project
PackageNamepython-husl
PackageRelease2.fc23
PackageVersion4.0.1
SHA-10079814D14A8C0D998E4FA1CA0177C6A30E560C4
SHA-256CF2D252325AFB54FE2E258CB5D8C964648AF737C38A12F1CE9860CF442EF684E
Key Value
MD561BFC2C0A0F0774D37BA1A23C4AB2B78
PackageArchnoarch
PackageDescriptionHUSL is a human-friendly alternative to HSL (Hue, Saturation and Lightness) color space. This package provides Python3 support
PackageMaintainerFedora Project
PackageNamepython3-husl
PackageRelease2.fc23
PackageVersion4.0.1
SHA-102E79662239C858E0AA6DC1B448C14498E5DE90D
SHA-2564284817A92998970B3C3A0A860EB684C90B91F2B1DD5CA22CD06AF9E34E9C215
Key Value
MD549967476B366C7617EEECFE954DCD47C
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. 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 - Functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices - 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
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-seaborn
PackageReleasebp154.1.20
PackageVersion0.8.1
SHA-109F67E0B72DA43AAEA39FF833A8FF62D342E251E
SHA-2563A220E7B5EA8C9F018A4F2686ED40DC746EFD1F25A8B522A523BBB1B0AA5BA10
Key Value
MD56A4FE8C5DCA1D10F819B98D7B0C85F87
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. 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 - Functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices - 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
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-seaborn
PackageReleasebp155.2.11
PackageVersion0.8.1
SHA-11B6202BB831A5E420EB85F1E74338959B9A8A51D
SHA-256330052818AB2E499071931665322CE35D0F4AE60C8EC4641B81122E371DD03BD
Key Value
MD539631835CFDCB031BB630C9D65F6E1C8
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. 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 - Functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices - 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
PackageNamepython39-seaborn
PackageRelease33.27
PackageVersion0.11.1
SHA-121CFAFDBF856872DE3B0125CE48B905A6AF1C721
SHA-256A3D1BC25D0AECC0E69551F121AAC869E0B2A1E0A860494F5BB531A44577AF12D
Key Value
MD5054A25CDCB11E801BE70E13CD5221192
PackageArchnoarch
PackageDescriptionHUSL is a human-friendly alternative to HSL (Hue, Saturation and Lightness) color space. This package provides Python2 support
PackageMaintainerFedora Project
PackageNamepython-husl
PackageRelease1.fc22
PackageVersion4.0.1
SHA-125DF1C8221246710CB823D32820C0EE64A86BB55
SHA-25653A9709A5AFD894CF98C970A3BFBB5A07277DE77368656CD240A654029047591
Key Value
MD5F5AD5F7C37FB0FEE2B444FD70D2B8592
PackageArchnoarch
PackageDescriptionHUSL is a human-friendly alternative to HSL (Hue, Saturation and Lightness) color space. This package provides Python2 support
PackageMaintainerFedora Project
PackageNamepython-husl
PackageRelease4.fc24
PackageVersion4.0.1
SHA-12A59FD7EC2EF352B7AE84D3D387D92E9751579D6
SHA-256B67EC91E816BA760530A35619EB875E7D001149B2F7CFC93F2B16C9344ADF2A4
Key Value
MD57AC4C1C19B1F245B88BCF837A516B346
PackageArchnoarch
PackageDescriptionHUSL is a human-friendly alternative to HSL (Hue, Saturation and Lightness) color space. This package provides Python3 support
PackageMaintainerFedora Project
PackageNamepython3-husl
PackageRelease2.fc23
PackageVersion4.0.1
SHA-12D6146E5848C86FAC10CFB9A814750DFB59EF09B
SHA-2567F9FEEE3E12B3923E019EDA17AFB324067156804F296244398E2AB2B937EB876
Key Value
MD5A0B9D0D4E3E26497C60372D820528C7A
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. 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 - Functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices - 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
PackageNamepython310-seaborn
PackageRelease33.1
PackageVersion0.11.2
SHA-131A1CC3990A233566AC968A9672951243BF7C248
SHA-256F978A313AA70BF578EF7303541CFE4D9FC1F7A8E7F203F4FEBD1E39417E9A3CB
Key Value
MD58CF2B257474753B57512B89EE212F9B5
PackageArchnoarch
PackageDescriptionHUSL is a human-friendly alternative to HSL (Hue, Saturation and Lightness) color space. This package provides Python2 support
PackageMaintainerFedora Project
PackageNamepython-husl
PackageRelease4.fc24
PackageVersion4.0.1
SHA-1341EFF4DA9360BEE7288DDDFB4D7BA66C495B4EB
SHA-256550ABC071A6EE2FF6189D1BA382E7FF9B013FC3C21A1B4FE5D7F77FF5A396643





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