numpy>=1.26.0
pandas>=2.2.2
scipy>=1.12.0
emcee>=3.1.6
h5py>=3.11.0

[benchmark]
adamet>=2.0.10
corner>=2.2.3
dynesty>=3.0.0
jampy<9,>=8.1.4
mgefit>=6.2.6

[dev]
ipykernel
mpmath>=1.3.0
pytest>=9.0.3
seaborn
sympy

[docs]
sphinx<10,>=8.2
myst-parser<6,>=4
myst-nb<2,>=1.3
sphinx-design<1,>=0.6
pydata-sphinx-theme<0.22,>=0.16

[numpyro_cpu]
arviz[h5netcdf,netcdf4,zarr]>=1.0.0
h5netcdf>=1.4.0
h5py>=3.11.0
netCDF4>=1.7.4
xarray>=2025.3.1
zarr>=3.0.8
jax[cpu]>=0.4.35
numpyro[cpu]>=0.18.0

[numpyro_cuda12]
arviz[h5netcdf,netcdf4,zarr]>=1.0.0
h5netcdf>=1.4.0
h5py>=3.11.0
netCDF4>=1.7.4
xarray>=2025.3.1
zarr>=3.0.8
jax[cuda12]>=0.7.0
numpyro[cuda12]>=0.20.0

[plotting]
matplotlib>=3.8.0
corner>=2.2.3
