Experimental Design Python Packages

yacs

YACS -- Yet Another Configuration System

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.

psychopy

For running psychology and neuroscience experiments

process-improve

Python toolkit for analysis of industrial process data; multivariate analysis, designed experiments, process monitoring.

baybe

Bayesian Optimization and Design of Experiments

bofire

Experimental design and (multi-objective) bayesian optimization.

rormula

Formula parser and evaluator for Wilkinson Notation and dataframes arithmetics

fieldtrial

Statistically rigorous real-world evaluation for robot policies. Plan how many rollouts you need, run them randomized and blinded from a phone at the robot, let fieldtrial switch LeRobot or openpi policies itself, and get a report that only says "better" when a pre-registered test does.

psychopy-lib

For running psychology and neuroscience experiments

labplan

Plan, fit, and certify laboratory calibrations for any user-supplied model: Fisher planning, D-optimal designs, conformal error bars, and audit-ready records. NumPy only.

batchlens-bio

Metadata-only experimental-design and batch-confounding audits for single-cell and spatial studies

opensesame-extension-omm

OpenMonkeyMind is a framework for distributing OpenSesame experiments. This repository contains the client software, i.e. plugins and an extension for OpenSesame.

psychopy-app

For running psychology and neuroscience experiments

mopti

Lightweight tools for experimental design and multi-objective optimization.

calisim

A toolbox for the calibration and evaluation of simulation models.

experiment-server

A framework to configure your experiments away from your implementation

skbel

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

increment

Python library for warehouse-native A/B testing, causal inference, and experiment analysis

designofexperiment

A Python Package for intuitive design of experiments with user-friendly analysis of results. The aim is for this package to rival the DOE capabilities of commercial software such as JMP. Currently designs and analysis will be more geared towards investigations following the Response Surface Methodology.

recap

Reproducible configurations for any project.

bandwitch

💫 Computer-aided DNA assembly validation and identification from restriction digests.

pywoodway

Python library to interface with Woodway treadmills, specifically designed for the Woodway split belt treadmill.

cmrdesign

Conditional Minimax Regret design rules for pilot-informed experiments in R and Python

nextorch

Experimental design and Bayesian optimization library in Python/PyTorch