paucablop/chemotools
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
This tool helps scientists, chemists, and researchers preprocess spectral data efficiently before running machine learning models. It takes raw spectral measurements (like those from spectroscopy instruments) and cleans them through various transformations, outputting enhanced data ready for analysis. This is ideal for anyone working with spectral data who needs to prepare it for further computational steps.
Use this if you are a chemometrician or scientist working with spectral data and need to apply common preprocessing steps like baseline correction, smoothing, or scatter correction in a structured, consistent way.
Not ideal if you are looking for a standalone graphical interface for spectral analysis or a tool that doesn't integrate with Python's scikit-learn ecosystem.
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72
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12
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
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