MADSci: A modular Python-based framework to enable autonomous science

The Journal of Open Source Software 2026 Open access

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Authors: Ryan Lewis, Tobias Ginsburg, Doga Ozgulbas, C. R. Stone, Abraham Stroka, Aileen Cleary, Ian T. Foster, Noah H. Paulson
DOI: 10.21105/joss.09416
Cited by: 2
References: 8

Abstract

The Modular Autonomous Discovery for Science (MADSci) toolkit enables laboratory automation, high-throughput experimentation, and self-driving labs.MADSci provides a microservices architecture integrating laboratory instruments, robots, and devices with coordination services for workflows, data management, and resource tracking.Users define and execute experiments using Python applications and YAML-based workflow definitions.This modular design separates concerns between device integrators, lab operators, and domain scientists.MADSci supports research in

Fields of Study & Subjects

Computational Physics and Python Applications Scientific Computing and Data Management Genetics Bioinformatics and Biomedical Research

Publication details

Journal / source
The Journal of Open Source Software
Publisher
The Open Journal
Volume
11
Issue
119
Pages
9416–9416
Publication date
6 March 2026