github/BradhamLab/icat

We use CiteLang to clone this repository, and parse found dependency files to generate this credit table and badge. For each research software repository, we assign a credit split (0.5 or 50/50) to say that the research software gets 50% of the credit, and the remaining 50% is shared by the dependencies. The same holds true for the children of dependencies up until we reach a minimum level of credit in the tree, at which point we stop parsing.

Software Credit

Manager Name Credit
pypi numpy 0.305
pypi python-igraph 0.1
pypi igraph 0.099
pypi numba 0.044
pypi pytest 0.034
pypi scipy 0.03
pypi scikit-learn 0.025
pypi nose 0.02
pypi pytest-xdist 0.018
pypi hypothesis 0.018
pypi pytz 0.018
pypi python-dateutil 0.018
pypi networkx 0.011
pypi cairocffi 0.011
pypi sphinxbootstrap4theme 0.011
pypi Sphinx 0.011
pypi texttable 0.011
setup.py github/BradhamLab/icat 0.01
pypi joblib 0.007
pypi seaborn 0.007
pypi pandas 0.006
pypi pyamg 0.005
pypi mypy 0.005
pypi black 0.005
pypi flake8 0.005
pypi pytest-cov 0.005
pypi sphinxext-opengraph 0.005
pypi sphinx-prompt 0.005
pypi Pillow 0.005
pypi numpydoc 0.005
pypi sphinx-gallery 0.005
pypi sphinx 0.005
pypi scikit-image 0.005
pypi memory-profiler 0.005
pypi matplotlib 0.005
pypi threadpoolctl 0.005
pypi requests 0.002
pypi slack-sdk 0.002
pypi ipywidgets 0.002
pypi wheel 0.002
pypi twine 0.002
pypi py-make 0.002
pypi importlib-resources 0.002
pypi colorama 0.002
pypi tqdm 0.002
pypi profimp 0.002
pypi zarr 0.002
pypi zappy 0.002
pypi fsspec 0.002
pypi dask 0.002
pypi pytest-nunit 0.002
pypi pytest>=4.4 0.002
pypi scikit-misc>=0.1.3 0.002
pypi scrublet 0.002
pypi scanorama 0.002
pypi cugraph>=0.9 0.002
pypi cuml>=0.9 0.002
pypi cudf>=0.9 0.002
pypi magic-impute>=2.0 0.002
pypi louvain>=0.6,!=0.6.2 0.002
pypi leidenalg 0.002
pypi harmonypy 0.002
pypi myst-parser 0.002
pypi typing_extensions 0.002
pypi scanpydoc 0.002
pypi sphinx-rtd-theme>=1.0 0.002
pypi sphinx>=4.4 0.002
pypi docutils 0.002
pypi black>=20.8b1 0.002
pypi setuptools_scm 0.002
pypi bbknn 0.002
pypi importlib_metadata>=0.7 0.002
pypi session-info 0.002
pypi packaging 0.002
pypi umap-learn>=0.3.10 0.002
pypi numba>=0.41.0 0.002
pypi natsort 0.002
pypi networkx>=2.3 0.002
pypi patsy 0.002
pypi statsmodels>=0.10.0rc2 0.002
pypi scikit-learn>=0.22 0.002
pypi flit_core 0.002
pypi h5py>=3 0.002
pypi scipy>=1.4 0.002
pypi pandas>=1.0 0.002
pypi matplotlib>=3.4 0.002
pypi numpy>=1.17.0 0.002
pypi anndata>=0.7.4 0.002
pypi ncfs 0.001
pypi scanpy 0.001
pypi louvain 0.001
pypi sslouvain 0.001
pypi apricot-select 0.001

Note that credit values are rounded and expanded (so shared dependencies are represented as one record) and may not add to 1.0. Rounded values that hit zero are removed.

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