github/deepmodeling/DMFF

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 0.309
pypi openmm 0.124
pypi setuptools_scm 0.124
pypi scipy 0.06
pypi jaxlib 0.06
pypi jax 0.06
pypi numexpr 0.025
pypi requests 0.015
pypi slack-sdk 0.015
pypi ipywidgets 0.015
pypi wheel 0.015
pypi twine 0.015
pypi py-make 0.015
pypi importlib-resources 0.015
pypi colorama 0.015
pypi flax 0.013
setup.py github/deepmodeling/DMFF 0.01
pypi tensorflow 0.009
pypi tensorflow-datasets 0.009
pypi absl-py 0.009
pypi dm-tree 0.004
pypi dp_accounting 0.004
pypi mpmath 0.004
pypi attrs 0.004
pypi sphinx-collections 0.004
pypi sphinx-gallery 0.004
pypi matplotlib 0.004
pypi myst-nb 0.004
pypi ipython 0.004
pypi sphinx-autodoc-typehints 0.004
pypi sphinxcontrib-katex 0.004
pypi sphinx-book-theme 0.004
pypi sphinx 0.004
pypi chex 0.004
pypi freud-analysis 0.001
pypi optax 0.001
pypi jaxopt 0.001
pypi pymbar 0.001
pypi tqdm 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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