github/theislab/scCODA

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 0.193
pypi matplotlib 0.08
pypi statsmodels 0.074
pypi scikit-bio 0.071
pypi pytest 0.04
pypi six 0.023
pypi scipy 0.022
pypi pytz 0.02
pypi pytest-cov 0.017
pypi pandas 0.017
pypi setuptools 0.014
pypi hypothesis 0.012
pypi python-dateutil 0.012
requirements.txt github/theislab/scCODA 0.01
pypi gast 0.009
pypi absl-py 0.009
pypi tzlocal 0.009
pypi jinja2 0.009
pypi cffi 0.009
pypi zarr 0.008
pypi dask 0.008
pypi packaging 0.007
pypi tensorflow-datasets 0.007
pypi jaxlib 0.007
pypi jax 0.007
pypi dm-tree 0.007
pypi cloudpickle 0.007
pypi decorator 0.007
pypi typing_extensions 0.006
pypi typing-extensions 0.006
pypi joblib 0.004
pypi docutils 0.004
pypi black>=20.8b1 0.004
pypi setuptools_scm 0.004
pypi importlib_metadata>=0.7 0.004
pypi natsort 0.004
pypi h5py>=3 0.004
pypi xarray-datatree 0.004
pypi ujson 0.004
pypi contourpy 0.004
pypi bokeh 0.004
pypi netcdf4 0.004
pypi numba 0.004
pypi xarray-einstats 0.004
pypi h5netcdf 0.004
pypi xarray 0.004
pypi pytest-xdist 0.003
pypi pydata_sphinx_theme 0.003
pypi pyyaml 0.003
pypi sphinx-design 0.003
pypi sphinx-issues 0.003
pypi sphinx-copybutton 0.003
pypi sphinx 0.003
pypi ipykernel 0.003
pypi nbconvert 0.003
pypi numpydoc 0.003
pypi flit 0.003
pypi pre-commit 0.003
pypi pandas-stubs 0.003
pypi mypy 0.003
pypi flake8 0.003
pypi scanpy 0.003
pypi boltons 0.002
pypi openpyxl 0.002
pypi sklearn 0.002
pypi pytest-cov>=2.10 0.002
pypi pytest>=6.0 0.002
pypi loompy>=3.0.5 0.002
pypi scanpydoc>=0.7.3 0.002
pypi nbsphinx 0.002
pypi sphinx_issues 0.002
pypi sphinx-autodoc-typehints>=1.11.0 0.002
pypi sphinx-rtd-theme 0.002
pypi sphinx>=4.1,<4.2 0.002
pypi packaging>=20 0.002
pypi scipy>1.4 0.002
pypi numpy>=1.16.5 0.002
pypi pandas>=1.1.1 0.002
pypi seaborn 0.002
pypi patsy 0.002
pypi filelock 0.002
pypi setproctitle 0.002
pypi psutil 0.002
pypi pytest-forked 0.002
pypi execnet 0.002
pypi nvidia-nvjitlink-cu12 0.002
pypi nvidia-nccl-cu12 0.002
pypi nvidia-cusparse-cu12 0.002
pypi nvidia-cusolver-cu12 0.002
pypi nvidia-curand-cu12 0.002
pypi nvidia-cufft-cu12 0.002
pypi nvidia-cudnn-cu12 0.002
pypi nvidia-cuda-runtime-cu12 0.002
pypi nvidia-cuda-nvrtc-cu12 0.002
pypi nvidia-cuda-nvcc-cu12 0.002
pypi nvidia-cuda-cupti-cu12 0.002
pypi nvidia-cublas-cu12 0.002
pypi tensorflow-io-gcs-filesystem 0.002
pypi tensorflow-intel 0.002
pypi tensorflow-cpu-aws 0.002
pypi keras-nightly 0.002
pypi tf-estimator-nightly 0.002
pypi tb-nightly 0.002
pypi grpcio 0.002
pypi wrapt 0.002
pypi termcolor 0.002
pypi requests 0.002
pypi protobuf 0.002
pypi opt-einsum 0.002
pypi ml-dtypes 0.002
pypi libclang 0.002
pypi h5py 0.002
pypi google-pasta 0.002
pypi flatbuffers 0.002
pypi astunparse 0.002
pypi profimp 0.001
pypi zappy 0.001
pypi fsspec 0.001
pypi pytest-nunit 0.001
pypi pytest>=4.4 0.001
pypi scikit-misc>=0.1.3 0.001
pypi scrublet 0.001
pypi scanorama 0.001
pypi cugraph>=0.9 0.001
pypi cuml>=0.9 0.001
pypi cudf>=0.9 0.001
pypi magic-impute>=2.0 0.001
pypi louvain>=0.6,!=0.6.2 0.001
pypi leidenalg 0.001
pypi harmonypy 0.001
pypi myst-parser 0.001
pypi python-igraph 0.001
pypi scanpydoc 0.001
pypi sphinx-rtd-theme>=1.0 0.001
pypi sphinx>=4.4 0.001
pypi bbknn 0.001
pypi session-info 0.001
pypi umap-learn>=0.3.10 0.001
pypi numba>=0.41.0 0.001
pypi networkx>=2.3 0.001
pypi statsmodels>=0.10.0rc2 0.001
pypi scikit-learn>=0.22 0.001
pypi flit_core 0.001
pypi tqdm 0.001
pypi scipy>=1.4 0.001
pypi pandas>=1.0 0.001
pypi matplotlib>=3.4 0.001
pypi numpy>=1.17.0 0.001
pypi anndata>=0.7.4 0.001
pypi tensorflow 0.001
pypi tensorflow-probability 0.001
pypi arviz 0.001
pypi anndata 0.001
pypi rpy2 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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