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pca

pca: A Python Package for Principal Component Analysis.

abess

Fast Best-Subset Selection Library

pyspm

Python library to handle Scanning Probe Microscopy Images. Can read nanoscan .xml data, Bruker AFM images, Nanonis SXM files as well as iontof images(ITA, ITM and ITS).

snpio

API to read, write, and filter DNA sequence alignment files

torch-pca

Principal Component Anlaysis (PCA) in PyTorch.

cvmatrix

Computation of training set (X^T * W * X) and (X^T * W * Y) or (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm and Jensen (2025).

synthia

📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python

hoggorm

Package for explorative multivariate statistics

augmented-pca

Repository for the AugmentedPCA Python package.

xmca

Maximum Covariance Analysis in Python

ristretto

Randomized Dimension Reduction Library

divbrowse

A web application for interactive visualization and exploratory data analysis of variant call matrices

pydatafitting

Specialized linear, polynomial (including equality constraints on points and slopes), multivariate and nonlinear regression/curve fitting functions.

ccsf

Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data (Cell Patterns, 2023)

rfflearn

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

nystrompca

Kernel PCA with the Nyström method

delayedsparse

Delayed sparse matrix in Python