spectroML is an open-source Python library for spectroscopy and hyperspectral data analysis. It enables users to analyze spectral data, build, validate, and apply machine learning prediction models focused on regression, chemometrics, remote sensing, and soil spectroscopy tasks. The package provides a complete workflow from data ingestion through model training and inference, aimed at researchers and scientists working in analytical chemistry and environmental monitoring.
spectroml is an AI & ML product. It focuses on analyzing hyperspectral and spectral data to create and deploy accurate machine learning models for soil, remote sensing, and chemometric applications. It is built as an open-source project for data scientists. spectroml is open source under the MIT license. The product ships for the command line.
It is developed by sharadgupta27, and the product first shipped in 2025. Development happens publicly on GitHub with 12 commits in the last 90 days. Key capabilities include spectral analysis, model building, and model validation.
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