github/scikit-learn-contrib/hdbscan

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 0.406
pypi joblib 0.207
pypi cython 0.198
pypi scipy 0.014
pypi pytest 0.012
requirements.txt github/scikit-learn-contrib/hdbscan 0.01
pypi black 0.009
pypi flake8 0.009
pypi pytest-cov 0.009
pypi sphinxext-opengraph 0.009
pypi sphinx-prompt 0.009
pypi Pillow 0.009
pypi numpydoc 0.009
pypi sphinx-gallery 0.009
pypi sphinx 0.009
pypi seaborn 0.009
pypi scikit-image 0.009
pypi memory-profiler 0.009
pypi pandas 0.009
pypi matplotlib 0.009
pypi threadpoolctl 0.009
pypi scikit-learn 0.002
pypi lxml 0.002
pypi psutil 0.002
pypi typed-ast 0.002
pypi tomli 0.002
pypi mypy-extensions 0.002
pypi typing-extensions 0.002

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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