The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.
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Updated
Jun 20, 2024 - C++
The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.
Multiparameter Persistence for Machine Learning
TTK - Topological Data Analysis and Visualization - Source Code
High performance implementation of Vietoris-Rips persistence.
A Lean Persistent Homology Library for Python
RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.
Python bindings to Simplex Tree data structure (w/ C++)
Ripser: efficient computation of Vietoris–Rips persistence barcodes
Cecher: efficient computation of Čech persistence barcodes
R package for simplifying general computation on simplicial complexes
R interface to & implementation of the Persistence Landscapes Toolbox
A library for exploring persistent homology
R package porting Ripser-based persistent homology calculation engines from C++ via Rcpp. Currently ports Ripser (Vietoris-Rips complex) and Cubical Ripser (cubical complex).
High-dimensional topological data analysis library for NDDAV
Topological Learning for Brain Networks (Annals of Applied Statistics; MICCAI 2021)
A small but developing tool for fast computation of Persistence Diagrams of Flag Filtrations.
ANUBiS is a C++ library of high-performance algorithms for computing topological invariants of point sets and simplicial topological spaces.
Code to Compute Tropical Sufficient Statistics for Persistent Homology
A merge tree library
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