RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis
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Updated
Nov 9, 2025 - Jupyter Notebook
RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis
Write reproducible code for getting and processing ChEMBL
The scikit-learn-native foundation package for chemometrics 🧪 🤖
Explorative multivariate statistics in Python
Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).
functions for chromatography and mass spectrometry data analysis
A collection of tools for chemometrics and machine learning written in Julia.
A Python 3 implementation of orthogonal projection to latent structures
My collection of implementations of adaptive filters.
R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data
Deprecated open-source Python project to analyze HPLC–DAD raw data.
pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets
Python library for chemometric data analysis
Code for performing various projection pursuit routines
Implementation of PLS-DA and OPLS-DA for high dimensional data, like MS in metabolomics.
(Multiblock) Partial Least Squares Regression for Python
resemble is an R package for similarity-based modelling and local learning in spectroscopy. It provides tools for dissimilarity computation, nearest-neighbour search, memory-based learning, and spectral library optimisation (methods designed for large, heterogeneous spectral datasets where global models underperform)
Tool box for chemometrics and machine learning on high-dimensional data (e.g. Partial least squares regression/discrimination)
Python implementation of domain-invariant partial least squares regression (di-PLS)
A high-quality hand-curated logD7.4 dataset of 1,130 compounds
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