Factual package intelligence from PyPI

galpynostatic 0.5.13 package intelligence

A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries.

pip install galpynostatic

Current version
0.5.13
Python requirement
Not declared
License
Not declared
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
45.0 KiB
Release history
27 releases with files
Median release cadence
6 days

galpynostatic dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. importlib_metadata
  2. matplotlib
  3. numpy
  4. pandas
  5. pyyaml
  6. scikit-learn
  7. scipy

Compatibility and release files

galpynostatic publishes 0 wheels and 1 source archive for version 0.5.13. Wheel platform tags: No wheel platform tags.

Declared Python classifiers: 3.12.

Metadata completeness

PyPI does not currently declare: Python requirement, license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 27 releases with files. The first dated release is ; 16 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .