github/NETL-RIC/URC-Assessment-Method

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 0.127
pypi pyopengl 0.124
pypi pyglm 0.124
pypi pyopengl-accelerate 0.124
pypi gdal 0.124
pypi PyQt5-Qt5 0.061
pypi PyQt5-sip 0.061
pypi pytest 0.011
pypi pytest-xdist 0.011
requirements.txt github/NETL-RIC/URC-Assessment-Method 0.01
pypi virtualenv 0.008
pypi six 0.008
pypi process-tests 0.008
pypi hunter 0.008
pypi fields 0.008
pypi coverage 0.008
pypi hypothesis 0.007
pypi xmlschema 0.004
pypi requests 0.004
pypi pygments 0.004
pypi nose 0.004
pypi mock 0.004
pypi argcomplete 0.004
pypi colorama 0.004
pypi atomicwrites 0.004
pypi importlib-metadata 0.004
pypi tomli 0.004
pypi py 0.004
pypi pluggy 0.004
pypi packaging 0.004
pypi iniconfig 0.004
pypi attrs 0.004
pypi fastparquet 0.003
pypi dataframe-api-compat 0.003
pypi qtpy 0.003
pypi PyQt5 0.003
pypi tabulate 0.003
pypi jinja2 0.003
pypi matplotlib 0.003
pypi lxml 0.003
pypi html5lib 0.003
pypi beautifulsoup4 0.003
pypi pymysql 0.003
pypi psycopg2 0.003
pypi SQLAlchemy 0.003
pypi pyreadstat 0.003
pypi tables 0.003
pypi pyarrow 0.003
pypi xlsxwriter 0.003
pypi xlrd 0.003
pypi pyxlsb 0.003
pypi openpyxl 0.003
pypi odfpy 0.003
pypi pandas-gbq 0.003
pypi gcsfs 0.003
pypi s3fs 0.003
pypi fsspec 0.003
pypi xarray 0.003
pypi scipy 0.003
pypi numexpr 0.003
pypi numba 0.003
pypi bottleneck 0.003
pypi pytest-asyncio 0.003
pypi tzdata 0.003
pypi pytz 0.003
pypi python-dateutil 0.003
pypi cffi 0.003
pypi wheel 0.001
pypi pandas 0.001
pypi pyqt5 0.001
pypi pytest-cov 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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