numpy>=1.24
scipy>=1.10
pandas>=2.0
scikit-learn>=1.3
pydantic>=2.0
cryptography>=41.0
tabulate>=0.9

[all]
brillq-opex-benchmark[bayes,excel,forecast,ml]

[bayes]
pymc>=5.10
arviz>=0.17

[dev]
pytest>=8.0
pytest-cov>=4.1
build>=1.0
ruff>=0.4

[excel]
openpyxl>=3.1

[forecast]
statsmodels>=0.14

[ml]
xgboost>=2.0
shap>=0.44
