Design Of Experiments Python Packages

pydoe

Design of Experiments for Python

pydoe3

Design of experiments for Python

process-improve

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

baybe

Bayesian Optimization and Design of Experiments

pyoptex

Flexible and accessible design of experiments in Python. Provides industry with an easy package to create designs based with limited expert knowledge. Provides researchers with the ability to easily create new criteria and design structures.

doepy

Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/

knowlytix-core

Geometric Memory Systems — core geometry and LLM-layer foundations

f3dasm

Framework for Data-Driven Design & Analysis of Structures & Materials (F3DASM)

optimeo

OPTIMEO is a web application doubled by a package that helps you optimize your experimental process by generating a Design of Experiment, generating new experiments using Bayesian Optimization (BO), and analyzing the results of your experiments using Machine Learning models.

knowlytix-benchmark

Benchmark for structured information retrieval from financial documents using graph-verifiable questions

knowlytix-knowledge

GMS-powered document ingestion, query, and learning — DocGMS

knowlytix-harness

GMS-Harness — provider-agnostic DOE-driven black-box testing platform for LLM agents

nextorch

Experimental design and Bayesian optimization library in Python/PyTorch

experiment-design

Tools to create experiment designs

exp

python experiment management toolset

fatld

Generate and characterize designs with four-and-two-level (FATL) factors.

csw93

Regular Fractional Factorial two-level designs from the paper of Chen, Sun and Wu (1993)

doex

Python library for Design and Analysis of Experiments

simplelhs

Simple implementation of Latin Hypercube Sampling.

doe

A simple library for design of experiments and analysis in Python