github/cameronliang/BayesVP

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 0.361
pypi scipy 0.329
pypi matplotlib 0.198
pypi tomli 0.034
setup.py github/cameronliang/BayesVP 0.01
pypi coverage 0.004
pypi pytest 0.004
pypi virtualenv 0.004
pypi pytest-xdist 0.004
pypi six 0.004
pypi process-tests 0.004
pypi hunter 0.004
pypi fields 0.004
pypi xmlschema 0.002
pypi requests 0.002
pypi pygments 0.002
pypi nose 0.002
pypi mock 0.002
pypi hypothesis 0.002
pypi argcomplete 0.002
pypi colorama 0.002
pypi atomicwrites 0.002
pypi importlib-metadata 0.002
pypi py 0.002
pypi pluggy 0.002
pypi packaging 0.002
pypi iniconfig 0.002
pypi attrs 0.002
pypi emcee 0.002
pypi kombine 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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