Quasar is an open-source collection of spectroscopic data analysis toolboxes extending the Orange machine learning and data visualization suite. Visual data analysis workflows support novice and expert users alike in creating dynamic and reproducible data pipelines which integrate spectral processing, hyperspectral maps and multivariate analysis. (Orange, 2013)

Spectral processing routines include baseline subtraction, normalization, FFT, EMSC, peak analysis, differentiation and smoothing which can be quickly and easily applied to a dataset. The resulting spectral features can than be combined with other sample attributes such as concentration, growth conditions or other perturbations for multivariate analysis using tools such as regression and classification models, clustering, principal component analysis, hierarchical cluster analysis and more. Workflows created by a researcher can then be shared and reproduced to ensure consistent analysis in large projects and review past analyses.

Built on the power of the scientific Python community, advanced users can easily add custom code or figures into a workflow, saving time from re-implementing data loading, processing, and plotting routines. Contributions to the software are also welcomed.

For more information and to download the software, visit https://quasar.codes.

If you use Orange/Quasar in your publications, remember to cite it properly - Orange Citation Guide.