github/NiallJeffrey/DeepMass

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 0.148
pypi scipy 0.123
pypi astropy 0.123
pypi matplotlib 0.123
pypi six 0.029
pypi setuptools 0.025
pypi protobuf 0.025
pypi absl-py 0.025
pypi keras 0.023
pypi tf-estimator-nightly 0.023
pypi wrapt 0.023
pypi typing-extensions 0.023
pypi termcolor 0.023
pypi opt-einsum 0.023
pypi libclang 0.023
pypi keras-preprocessing 0.023
pypi h5py 0.023
pypi google-pasta 0.023
pypi gast 0.023
pypi flatbuffers 0.023
pypi astunparse 0.023
setup.py github/NiallJeffrey/DeepMass 0.01
pypi tensorflow 0.01
pypi grpcio-tools 0.006
pypi enum34 0.006
pypi futures 0.006
pypi healpy 0.005
pypi tensorflow-rocm 0.005
pypi tensorflow-gpu 0.005
pypi tensorflow-cpu 0.005
pypi tensorflow-aarch64 0.005
pypi grpcio 0.002
pypi wheel 0.002
pypi werkzeug 0.002
pypi tensorboard-plugin-wit 0.002
pypi tensorboard-data-server 0.002
pypi requests 0.002
pypi markdown 0.002
pypi google-auth-oauthlib 0.002
pypi google-auth 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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