requirements.txt

# SCT Theory — runtime toolchain dependencies
# Install: python -m pip install -r requirements.txt

# Core scientific computing and symbolic backends
numpy>=2.4
scipy>=1.17
matplotlib>=3.10
sympy>=1.13
mpmath>=1.3
symengine>=0.14
ginacsympy>=1.0
vegas>=6.4
jax>=0.9
joblib>=1.5
tqdm>=4.67

# Data handling and scientific file formats
pandas>=2.3
astropy>=7.2
h5py>=3.16
uproot>=5.7

# Graphs, tensors, and geometry
networkx>=3.6
igraph>=1.0
OGRePy>=1.3
quimb>=1.12

# Statistical fitting, Bayesian inference, and uncertainty propagation
uncertainties>=3.2
emcee>=3.1
corner>=2.2
iminuit>=2.32
lmfit>=1.3
pyerrors>=2.16
pyhf>=0.7
pymc>=5.28
arviz>=0.23
statsmodels>=0.14
looptools>=1.2

# Verification and publication-quality tooling used by the library
hypothesis>=6.151
aristotlelib>=0.7
SciencePlots>=2.2
pypdf>=6.0