GUDHI/gudhi-devel

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

What it solves

It provides tools for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding, allowing researchers and developers to analyze the shape and structure of complex data sets.

How it works

Written in C++ with a Python interface, the library implements state-of-the-art data structures and algorithms to build simplicial complexes and calculate persistent homology.

Who it’s for

It is designed for researchers and practitioners working in geometry, topology, and data science who need to extract topological features from high-dimensional data.

Highlights

  • Generic open-source C++ library with Python bindings.
  • Focuses on the construction of simplicial complexes.
  • Computes persistent homology for data analysis.

Related

  • Project
    scikit-tda/scikit-tda

    A collection of Topological Data Analysis (TDA) Python libraries designed to make topological data tools accessible to non-topologists.

  • Project
    scikit-tda/kepler-mapper

    A Python implementation of the TDA Mapper algorithm used for visualizing the topological structure of high-dimensional data.

  • Project
    gempy-project/gempy

    An open-source Python library for 3D geological modeling that uses implicit representations to construct complex folded structures, fault networks, and unconformities.

  • Project
    NVIDIA/cuEquivariance

    An NVIDIA Python library for building high-performance geometric neural networks that respect 3D symmetries using optimized CUDA kernels and segmented polynomials.

  • Project
    geomstats/geomstats

    A Python package for computations, statistics, and machine learning on manifolds, enabling the analysis of non-Euclidean data like rotations and shapes.