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HELAO

Lab Automation Active Learning

General information

App homepage: Go to app homepage

Documentation: Go to app documentation

Detailed information

Author(s): Fuzhan Rahmanian, Jackson Flowers, Dan Guevarra, Matthias Richter, Maximilian Fichtner, Phillip Donnely, John M Gregoire, Helge S Stein

Affiliation(s): Karlsruhe Institute of Technology

Current state: development (version 2.1)

Source code: github.com

Short description: Small fastAPI based framework to deploy active learning and laboratory automation to a distributed fleet of research instruments. Contains many drivers and high level actions and datamanagement for a wide range of instruments.

Most recent version: 2.1

Video showcase

Installation

Demonstration