High Dimensional Data Python Packages

abess

Fast Best-Subset Selection Library

hdmedians

High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.

tmap2

Tree-based visualization for high-dimensional data. Organizes similar items into interactive tree structures for any high-dimensional dataset.

hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

scikit-hubness

A Python package for hubness analysis and high-dimensional data mining

artificial-data-generator

Synthetic biomedical data generator for reproducible benchmarking of feature selection methods in high-dimensional machine learning.

evomap

A Toolbox for Dynamic Mapping in Python

lshashing

python library to perform Locality-Sensitive Hashing for faster nearest neighbors search in high dimensional data

biomedical-data-generator

Synthetic biomedical data generator for reproducible benchmarking of feature selection methods in high-dimensional machine learning.

gotabpfn

GOTabPFN: Graph-guided feature ordering and compact tokenization for TabPFN-style tabular foundation models on high-dimensional data.

pyccea

A Python package of cooperative co-evolutionary algorithms for feature selection in high-dimensional data.

hub-toolbox

Hubness analysis and removal functions

pviz

A Framework for High-dimensional Pareto-optimal Front Visualization and Analytics

bstabdiff

Block-subunit generative modeling for High-Dimensional Low-Sample Size (HDLSS) tabular data.

dynatab

DynaTab: Dynamic Feature Ordering as Neural Rewiring for High-Dimensional Tabular Data

hdff

High-dimensional topological data analysis library for NDDAV

hdtopology

High-dimensional topological data analysis library for NDDAV