Update data files

data/cleaned_napari_plugins.csv

@@ -43072,7 +43072,7 @@ Python module to analyse skeleton (thin object) images
 [![Coverage Status](https://coveralls.io/repos/github/jni/skan/badge.svg?branch=main)](https://coveralls.io/github/jni/skan?branch=master)
 
 See the documentation at [https://skeleton-analysis.org](https://skeleton-analysis.org).
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'nose >=1.3', 'numba >=0.29', 'numpy >=1.11', 'pandas >=0.18', 'python 3.5*', 'scikit-image >=0.12', 'scipy >=0.18', 'tqdm >=4.11']",BSD 3-clause,,2017-01-20 04:14:26.617000+00:00,3d307596d4e1213df2612e5e34a20385,None,72541.0,conda-forge/skan/0.3.4/win-64/skan-0.3.4-py35_0.tar.bz2,//api.anaconda.org/download/conda-forge/skan/0.3.4/win-64/skan-0.3.4-py35_0.tar.bz2,conda,0.3.4,conda-forge,"['main', 'cf201901', 'cf202003']",conda,osx-64/skan-0.3.4-py35_0.tar.bz2,x86_64-any-darwin,True,osx-64,py35_0,0.0,"['imageio >=2.0', 'matplotlib >=1.5', 'networkx >=1.11', 'nose >=1.3', 'numba >=0.29', 'numpy >=1.11', 'pandas >=0.18', 'python 3.5*', 'scikit-image >=0.12', 'scipy >=0.18', 'tqdm >=4.11']",BSD 3-clause,,2017-01-21 09:00:45.347000+00:00,fc6364f6d0c72c34c91dd48a2cc1f122,None,30019.0,conda-forge/skan/0.3.4/osx-64/skan-0.3.4-py35_0.tar.bz2,//api.anaconda.org/download/conda-forge/skan/0.3.4/osx-64/skan-0.3.4-py35_0.tar.bz2,conda,0.3.4,conda-forge,"['main', 'cf201901', 'cf202003']",conda,linux-64/skan-0.3.5-py35_0.tar.bz2,x86_64-any-linux,True,linux-64,py35_0,0.0,"['imageio >=2.0', 'matplotlib >=1.5', 'networkx >=1.11', 'nose >=1.3', 'numba >=0.29', 'numpy >=1.11', 'pandas >=0.18', 'python 3.5*', 'scikit-image >=0.12', 'scipy >=0.18', 'tqdm >=4.11']",BSD 3-clause,2017-01-23 03:47:08.347000+00:00,cc44e2bfe4bb83aac68c9375066ffceb,None,30551.0,conda-forge/skan/0.3.5/linux-64/skan-0.3.5-py35_0.tar.bz2,//api.anaconda.org/download/conda-forge/skan/0.3.5/linux-64/skan-0.3.5-py35_0.tar.bz2,conda,0.3.5,conda-forge,"['main', 'cf201901', 'cf202003']",,,
 426,smo,2.0.2,smo,Implementation of the Silver Mountain Operator (SMO) for the estimation of background distributions.,Mauro Silberberg,MIT,https://github.com/maurosilber/smo,61f3ca40061d72975ee43712,['conda'],,https://github.com/maurosilber/smo,True,,,conda-forge,conda-forge,,"A community-led collection of recipes, build infrastructure, and distributions for the conda package manager.",2015-04-11 10:15:08.727000+00:00,org,conda-forge/smo,http://api.anaconda.org/packages/conda-forge/smo,http://anaconda.org/conda-forge/smo,"['2.0.0', '2.0.1', '2.0.2']",2.0.2,2.0.2,['noarch'],5.0,,['pyhd8ed1ab_0'],2.0.0,conda-forge/smo/2.0.0,1.0,0.0,2022-01-28 10:49:34.460000+00:00,2023-06-18 08:40:39.081000+00:00,conda,noarch/smo-2.0.0-pyhd8ed1ab_0.tar.bz2,0.0,MIT,False,python,"['numpy', 'python >=3.7', 'scipy', 'typing-extensions']",noarch,1643366934375.0,None-any-None,pyhd8ed1ab_0,2022-01-28 10:49:35.047000+00:00,f79582cebf8480bb7c0578f90ba38543,None,705191.0,conda-forge/smo/2.0.0/noarch/smo-2.0.0-pyhd8ed1ab_0.tar.bz2,//api.anaconda.org/download/conda-forge/smo/2.0.0/noarch/smo-2.0.0-pyhd8ed1ab_0.tar.bz2,conda,2.0.0,conda-forge,['main'],public,,0.2.0,smo.napari_experimental_provide_function,smo_image,smo.plugins.napari:napari_experimental_provide_function,,,,2.1,smo,2.0.2,,Implementation of the Silver Mountain Operator (SMO) for the estimation of background distributions.,"![PyPi](https://img.shields.io/pypi/pyversions/smo.svg)
 [![License](https://img.shields.io/github/license/maurosilber/smo)](https://opensource.org/licenses/MIT)
 [![PyPi](https://img.shields.io/pypi/v/smo.svg)](https://pypi.python.org/pypi/smo)