SpectraKit: Python toolkit for spectral data processing
Abstract
Python library for spectral data preprocessing and analysis. Installation: pip install pyspectrakit or conda install -c conda-forge pyspectrakit (pending) Features: Baseline correction (AsLS, AirPLS, ModPoly, IModPoly) Smoothing (Savitzky-Golay, Whittaker, moving average) Normalization (min-max, SNV, MSC, vector, area) Peak detection and integration 5 file format parsers (CSV, SPC, JCAMP-DX, Thermo, Bruker) Citation: DOI will be minted automatically via Zenodo.
Fields of Study & Subjects
Spectroscopy and Chemometric Analyses
Spectroscopy Techniques in Biomedical and Chemical Research
Computational Physics and Python Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 27 February 2026
- Language
- EN