Topological Data Analysis Python Packages

umap-learn

Uniform Manifold Approximation and Projection

ripser

A Lean Persistent Homology Library for Python

gudhi

The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.

multipers

Python library for multiparameter persistence

cripser

Persistent homology calculation for 1D (scalar time series), 2D (image), and 3D, 4D (voxel) arrays

pyflagser

Python bindings and API for the flagser C++ library (https://github.com/luetge/flagser).

giotto-tda

A high-performance topological machine learning toolbox in Python

giotto-ph

High performance implementation of Vietoris-Rips persistence.

findpeaks

The detection of peaks and valleys in a 1d-vector or 2d-array (image)

giotto-tda-nightly

A high-performance topological machine learning toolbox in Python

tda

Python package for topological data analysis written in Rust. Not limited to just H0 and H1.

tadasets

Synthetic data sets apt for Topological Data Analysis

lophat

Lockfree Persistent Homology Algorithm Toolkit

scikit-tda

Topological Data Analysis for Python🐍

toponetx

Computing on Topological Domains

torch-topological

A topological machine learning framework based on PyTorch

topogeoml

Topology-aware ML toolkit plus preregistered graph-classification study; honest negative result, statistical harness, reproducible evidence.

teaspoon

Topological Signal Processing in Python

tda-mapper

A simple and efficient Python implementation of Mapper algorithm for Topological Data Analysis

mantra-dataset

MANTRA: The Manifold Triangulations Assemblage (A dataset of manifold triangulations)

cereeberus

A python package for the interleaving distance on Reeb graphs and related structures from TDA

ect

Python package for computing the Euler Characteristic Transform (ECT)

giotto-learn

A high-performance topological machine learning toolbox in Python

groupoid

Pre-alpha groupoid/sheaf/Riemannian aggregation prototype for federated learning; tested math components, not production FL.