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

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 biology, chemistry, materials science, and quantum science.