Factual package intelligence from PyPI
Bayesian Neural Networks methods for radiocarbon (14C) calibration
pip install bnn-for-14c-calibration
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==1.23.2==3.5.3==1.4.4==5.2.0==1.1.2==2.9.1==0.17.0bnn-for-14C-calibration publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .