Sobol Python Packages

salib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

jaxgsa

Global sensitivity analysis in JAX: Sobol, Morris, PCE, Shapley and ten more methods, vectorised and differentiable

tklds

Python package and open direction-number data for high-dimensional Sobol’ sequences, including the 50,000-dimensional tkrg-a-ap5 set for quasi-Monte Carlo simulation.

trnrand

Random number generation for AWS Trainium via NKI (cuRAND-equivalent) — Philox counter-based RNG, standard distributions, Sobol / Halton / Latin-hypercube quasi-random sequences for Monte Carlo and QMC.

ki-gen

Zero-dependency seeded key generation framework for Python — define parameter spaces, generate unique keys, and persist results.

tgo

Developmental version of tgo

gsax

Global sensitivity analysis in JAX: Sobol, Morris, PCE, Shapley and ten more methods, vectorised and differentiable