Sensitivity Analysis Python Packages

salib

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

emukit

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

diff-diff

Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.

biosteam

The Biorefinery Simulation and Techno-Economic Analysis Modules

amici

High-performance sensitivity analysis for large ordinary differential equation models

causal-hybrid-control

Physics-structured dynamics with a learned causal residual, controlled by constrained optimal control / MPC.

revenue-model-builder

Bottom-up driver-based revenue forecasting: base × penetration × share × price, with structural residual alignment, A/B/C data grading, Monte Carlo + tornado sensitivity, and annual-report segment extraction. Pure Python stdlib.

torch-fem

GPU accelerated differentiable finite elements for solid mechanics with PyTorch

axiomize

Reproducible scientific modeling engine and agent skill pack: versioned Model IR with mandatory units, dimensional and numerical validation, calibration, uncertainty analysis, and portable export (SBML, CellML, Modelica) via CLI, REST and MCP. Install: pip install axiomize.

csnlp

Nonlinear Progamming with CasADi

scientific-computing-system

Pure-Python computational science with zero runtime dependencies: linear algebra, ODE/PDE solvers, quadrature, Monte Carlo, statistics, signal processing, quantum simulation, uncertainty quantification, sensitivity analysis, dimensional analysis, and reproducible workflows.

sundials4py

Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.

simulsi

A general-purpose, reproducible simulation and scenario experimentation framework for Python.

hensmith

Heat Exchanger Network Synthesis, Modeling, Integration, Thermodynamics, and Heuristics

axiomize-quantum-skills-2-0

Scientific modeling engine (versioned Model IR, dimensional validation, uncertainty) plus quantum-inspired multi-branch reasoning. Python, MCP and REST. MIT.

hdim-opt

High-Dimensional Optimization: A streamlined Python package to analyze and accelerate high-dimensional problems.

monaco

Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

hapi-nile

Hapi is a Python library for building Conceptual Distributed Model using HBV96 lumped model & Muskingum routing method

pytolemaic

Toolbox for analysis of model's quality and model's description. For further details see

cognitive-discovery-platform

Pure-Python computational science with zero runtime dependencies: linear algebra, ODE/PDE solvers, quadrature, Monte Carlo, statistics, signal processing, quantum simulation, uncertainty quantification, sensitivity analysis, dimensional analysis, and reproducible workflows.

autoemulate

Emulate simulations easily

monte-carlo-sensitivity

Monte-Carlo Sensitivity Analysis

deeplift

Public facing deeplift repo

cognitive-discovery-system

Pure-Python computational science with zero runtime dependencies: linear algebra, ODE/PDE solvers, quadrature, Monte Carlo, statistics, signal processing, quantum simulation, uncertainty quantification, sensitivity analysis, dimensional analysis, and reproducible workflows.