Result for 7FCE61135A669CE20186F9C8EC550D1AFFF15AAC

Query result

Key Value
MD5E61BC6CBAFEB5CB96439CCCF670ACFA8
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
PackageNamepython3-seaborn
PackageReleaselp153.33.1
PackageVersion0.11.1
SHA-17FCE61135A669CE20186F9C8EC550D1AFFF15AAC
SHA-2562F22FF56B0EDA199D4A6DC28E5BB799F40CE7227FA7CD08B243B8B3057E8549D
hashlookup:children-total128
hashlookup:trust50

Network graph view

Children (Total: 128)

The searched file hash includes 128 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/tests/__pycache__/test_miscplot.cpython-36.pyc
FileSize1439
MD55DD59BFE65EDCFBD5E66DD299D67F85F
SHA-10519F0B851669A8CC604603CBE8336FBAF197DE5
SHA-25636D3E8D62F366773DDA087CEF52B096F9CD790E0D49CB92C3A522977A2B9FE81
SSDEEP24:NLM/nuj1qeG9pkCDnZU8nXLLGvT2pfmRIwN5+KKJMwDerKy6i4Gav336:N41eGTnlXfG72pfo8jeavK
TLSHT13D21239EA6829A33F946F2F5C04B19117175A6B95B054E4E070C19CBFC4D6DC0462B1D
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/tests/__pycache__/test_palettes.cpython-36.pyc
FileSize14361
MD526E7716867BD1BFB6FA09DAEA43DA9A5
SHA-10C942DEB9C3CB123C64FCC5AD91F3490C094C17C
SHA-2560D00AAC1117BB9B54CC9301BBA3C5FD1FBB252BAF964767FAC8FDC7EDD45D127
SSDEEP384:pymjGUyWaAJUKpAUKpxQIevPTieZRLpOscm6AU:pymnyWaAyKpZKpxROPbFOscmvU
TLSHT13A5275BAB6131D0AFD12FBFDC1AD5E94697AE3661247D29B4704D01E2D8C5C90CF3688
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/colors/__pycache__/crayons.cpython-36.opt-1.pyc
FileSize3163
MD511EBEBBD141368009D873F196C4A78B0
SHA-1111902763C71D5B38F146439839282D625B54FB9
SHA-256239D7DB9BF3B67D5986A6E8B71FBDA3727F4636834D27A3394CBF4FB28AF0A21
SSDEEP48:SVnnPvrtEWnjreebtCNRHNFCCbNcMQt+l3z2Tdnh2JH/hTKrY4Krn:2XNjntoNNUChcMQEhwdnhU/hGrzq
TLSHT18551A3AB029AEC3CB2DD49B562E02C4EB0B9DD9BCB00B514E561D1E5F908F39B5D503B
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/axisgrid.py
FileSize83389
MD5DF80747BA23139E0201485696227D8FC
SHA-115FA2F9F75C26E6753C76A4567A7650D232C6E07
SHA-2563672F936C6F13FEA018477D1408210B96140284A0C96D9843C9C7F636338C4A5
SSDEEP1536:TC0036GhscM80YqahfTFjLrPsXPw44jo4sPri:/GhsAfpLrPpo4gO
TLSHT19B83B66AEE212B37C393EC6849DEE543E7146817268921797CEC92450F1583CC7F8EE8
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn-0.8.1-py3.6.egg-info/top_level.txt
FileSize8
MD53877210C6B9ECE35CA3C4388CDE3BCB1
SHA-1185424ADA2E0A0AEF93D484F37A7A2D60633F925
SHA-256191214D5969DAC63402C4D711B9E066D313123B7EF4A4109621EA9F175E0A1E2
SHA-5127747853FF01B97694327B34488636E7839FD81E484160CDD126CB06CD73D02A0B6C54C97D947255F08303E0D17512D915C5B868E1B7A13B331C51934FE778C3C
SSDEEP3:Nb:Nb
TLSH
insert-timestamp1727098319.662046
mimetypetext/plain
sourcesnap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/tests/__pycache__/test_utils.cpython-36.opt-1.pyc
FileSize13976
MD5AA2260E95348D72F2F6E7EDB8784CD9F
SHA-118CE6CD2392D349FB4806A9A187CB87119DFBAAE
SHA-2567A4512D9FA9C530DED40BBAA428C26130A0C24586D299F3210808F0E678683BD
SSDEEP384:IsB6joH6ucFe1JAOSA68p3cAkcgxr+5NbI0+DiaiH/UR85Uk9ctR:I+cFmiPZ8p3Fgxr+5Nc0MiVH/UR85t9S
TLSHT14652D6DCB8065F6BF935F9F5881E22201B36E27B1BCAF2714451C05E1F191C829B27BA
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/__pycache__/_core.cpython-36.opt-1.pyc
FileSize30950
MD5F894946330A4B89329507718B9A0D7BE
SHA-11E0BC470501EE94561493BF63678B87AE0592522
SHA-2560938B00A76FE06C493A8FB4372B724B6FEFF73EE5506FA0F4408679DC6672C40
SSDEEP384:FaAZgQJTiDpzhGg5rImGcNGZblwedWf74K/KDlZPBIz7m6dIMNCgoCx2AW/LY:Dge4FXCqgdkRCZxMmDMNj2AOY
TLSHT1F5D2298A7D555D3BFED2F1B9819C0241C628E3A7738865A6385CC11E2F02A187F7C7E9
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/tests/__pycache__/test_categorical.cpython-36.pyc
FileSize90622
MD5F8ABD74A74141E5CDF53A5FC5360DF9E
SHA-1206F77B800CF1A555606109C0287C002985FBD2A
SHA-2561D266E9C08ECFC195302024F9C897D234CFA98D1109308B0A148C14B9C88EF12
SSDEEP1536:OmjL30zIryskkS9FQ4WzWuEC9E5X9bVXcN2BcWZ4C+9AcXzlL919xo:NL30ayfLbVMN2BlZ/
TLSHT1AA93C4E9B5265E87FC29FAF8141D57B00EBAA20D3789BF629002C1497D412CD1CE67ED
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/__pycache__/palettes.cpython-36.opt-1.pyc
FileSize30675
MD52AF9A2D319AB11A8C720EEF927074519
SHA-120B7FAE97737B5172B41493ED11FE77FB848A316
SHA-2564106B5761A4B7433A38B076801DA38AB9AFA385A54044C5443C8B9CA6ECBE621
SSDEEP768:Ez6Ch0/PqJem1pHHpFZqxg2ZKhoPcUjpU5rlTCJjS9:EA/mem1FiZZ4oPcUjoZTsW
TLSHT18AD29656AF400717FB83FAFA40CFC4C5D339B22B9206869E395D82181F499ED8C6E65D
Key Value
FileName./usr/lib/python3.6/site-packages/seaborn/tests/__pycache__/test_distributions.cpython-36.opt-1.pyc
FileSize74792
MD5231D5A264B180646CBA0DC92453A10F3
SHA-1213FD36B905FF676ECEE45DEBB6A74FD90A68A7F
SHA-256DFB33575D2EC9EB199BBA6EDB05FB3E604F6F55827E1F579DCE016F986A1014C
SSDEEP1536:qlDMPOkq6NKvzkVhdl8jUZXZr/fpIXGgqDKBIICUu+Z+6HkErIx/SWLbPgm:qlaOkqRg/fG6DKwUuNErIx/SWLbPgm
TLSHT12A73A79438F70D6FF868F3F908AB1601B9BED74A234B87425503E62B3B449D81D7E259