Principal Component Analysis Python Packages

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).

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).

snpio

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

augmented-pca

Repository for the AugmentedPCA Python package.

torch-pca

Principal Component Anlaysis (PCA) in PyTorch.

hoggorm

Explorative multivariate statistics in Python

xmca

Maximum Covariance Analysis in Python

divbrowse

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

pydatafitting

package for specialized regression

ristretto

Randomized Dimension Reduction Library

ccsf

Leveraging cell-cell similarity from gene expression data for high-performance spatial and temporal cellular mappings.

synthia

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

rfflearn

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

delayedsparse

Efficient sparse matrix implementation for various "Principal Component Analysis"

nystrompca

Efficient non-linear PCA through kernel PCA with the Nyström method