Maggie Eminizer1, Sam Tabrisky2,3,4, Amir Sharifzadeh1, Christopher DiMarco4, Jacob M. Diamond4,6, K.T. Ramesh4, Todd C. Hufnagel4,5,6, Tyrel M. McQueen4,5,7,8, David Elbert1,4
1 Institute for Data Intensive Engineering and Science (IDIES), The Johns Hopkins University, Baltimore, MD, USA
2 Department of Biology, Dartmouth College, Hanover, NH, USA
3 Department of Computer Science, Dartmouth College, Hanover, NH, USA
4 Hopkins Extreme Materials Institute (HEMI), The Johns Hopkins University, Baltimore, MD, USA
5 Department of Materials Science and Engineering, The Johns Hopkins University, Baltimore, MD, USA
6 Department of Mechanical Engineering, The Johns Hopkins University, Baltimore, MD, USA
7 Department of Chemistry, The Johns Hopkins University, Baltimore, MD, USA
8 Institute for Quantum Matter (IQM), William H. Miller III Department of Physics and Astronomy, The Johns Hopkins University, Baltimore, MD, USA
Applications for laboratory, analysis, and computational materials data streaming using Apache Kafka
Available on PyPI at https://pypi.org/project/openmsistream and GitHub at https://github.com/openmsi/openmsistream
Official documentation at https://openmsistream.readthedocs.io/en/latest/
Developed for Open MSI (NSF DMREF award #1921959); published in the Journal of Open Source Software