Experiment Design Python Packages

ambrosia

Ambrosia is a Python library for A/B tests design, split and result measurement

adopy

Adaptive Design Optimization for Experimental Tasks

repype

Reproducible, efficient, flexible batch processing using pipelines for sustainable software experiments

malet

Hyperparameter search and metric visualization tool for personal research.

axopy

A Python Library for Implementing Human-Computer Interface Experiments

kolmogorov-abacus

ABacus: fast hypothesis testing and experiment design solution

ambrozia

A Python library for working with A/B tests.

pystematic

A framework that helps you setup and run reproducible experiments in python.

exp-runner

exp-runner: Simple and extensible Python framework for data analysis and machine learning experiments

labphew

a minimalist functioning code module and folder structure, built to teach and exercise with computer-controlled measurements using Python.