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GitHub / fernandezfran / galpynostatic
:zap::battery: A Python/C++ package with physics-based models to predict optimal conditions for fast-charging lithium-ion batteries
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fernandezfran%2Fgalpynostatic
Stars: 5
Forks: 1
Open Issues: 0
License: mit
Language: Python
Repo Size: 5.09 MB
Dependencies:
28
Created: over 1 year ago
Updated: 20 days ago
Last pushed: 20 days ago
Last synced: 19 days ago
Commit Stats
Commits: 286
Authors: 3
Mean commits per author: 95.33
Development Distribution Score: 0.08
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/fernandezfran/galpynostatic
Topics: battery, data-driven, fast-charging, heuristic-algorithm, metrics, physics-based, predictions, regression-models
Files
Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout master composite
- actions/setup-python v2 composite
- Sphinx *
- ipykernel *
- ipython >=8.8.0
- nbsphinx *
- sphinx-rtd-theme *
- importlib_metadata *
- matplotlib *
- numpy *
- pandas *
- scikit-learn *
- scipy *
- check-manifest * development
- coverage * development
- flake8 * development
- flake8-black * development
- flake8-builtins * development
- flake8-import-order * development
- ipdb * development
- pydocstyle * development
- pytest * development
- pytest-cov * development
- toml * development
- tomli * development
- tox * development