github/ZJUFanLab/bulk2space

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 deep-forest 0.11
pypi easydict 0.11
pypi numpy 0.11
pypi pandas 0.11
pypi scikit-learn 0.11
pypi scipy 0.11
pypi Unidecode 0.11
pypi requests 0.014
pypi slack-sdk 0.014
pypi ipywidgets 0.014
pypi wheel 0.014
pypi twine 0.014
pypi py-make 0.014
pypi importlib-resources 0.014
pypi colorama 0.014
requirements.txt github/ZJUFanLab/bulk2space 0.01
pypi tqdm 0.003
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 python-igraph 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 joblib 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 seaborn 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 scanpy 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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