github/valboz/VBBinaryLensing

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 0.198
pypi setuptools 0.198
pypi pybind11-global 0.196
pypi packaging 0.032
pypi pytest 0.022
pypi astropy 0.02
pypi pytest-doctestplus 0.02
pypi pillow 0.02
pypi sphinx-gallery 0.02
pypi sphinx-automodapi 0.02
pypi numpydoc 0.02
pypi astropy-sphinx-theme 0.02
pypi sphinx 0.02
pypi importlib-metadata 0.015
pypi pygments 0.012
pypi nose 0.012
pypi mock 0.012
pypi hypothesis 0.012
pypi colorama 0.012
pypi atomicwrites 0.012
pypi tomli 0.012
pypi py 0.012
pypi pluggy 0.012
pypi iniconfig 0.012
pypi attrs 0.012
requirements.txt github/valboz/VBBinaryLensing 0.01
pypi flake8 0.004
pypi coverage 0.004
pypi wheel 0.002
pypi pexpect 0.002
pypi chardet 0.002
pypi PySocks 0.002
pypi certifi 0.002
pypi urllib3 0.002
pypi idna 0.002
pypi charset-normalizer 0.002
pypi pybind11 0.002
pypi sphinx-astropy 0.002
pypi lxml-stubs 0.001
pypi mypy 0.001
pypi sphinx-rtd-theme 0.001
pypi Sphinx 0.001
pypi memory-profiler 0.001
pypi lxml 0.001
pypi tox 0.001
pypi jinja2 0.001
pypi elementpath 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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