Ripser.py
Ripser.py: A Lean Persistent Homology Library for Python - Published in JOSS (2018)
multipers
multipers: Multiparameter Persistence for Machine Learning - Published in JOSS (2024)
Teaspoon
Teaspoon: A Python Package for Topological Signal Processing - Published in JOSS (2025)
Ripserer.jl
Ripserer.jl: flexible and efficient persistent homology computation in Julia - Published in JOSS (2020)
giotto-deep
giotto-deep: A Python Package for Topological Deep Learning - Published in JOSS (2022)
Kepler Mapper
Kepler Mapper: A flexible Python implementation of the Mapper algorithm. - Published in JOSS (2019)
TDAstats
TDAstats: R pipeline for computing persistent homology in topological data analysis - Published in JOSS (2018)
chromatic_tda
Tool to compute six-packs of persistence diagrams for chromatic point clouds [packaged on PyPI]
mapper-pipeline
Identifying homogeneous subgroups of patients and important features: a topological machine learning approach
tda-mapper
A simple and efficient Python implementation of Mapper algorithm for Topological Data Analysis
network_tda_tutorial
This repository is dedicated for the tutorial on network and topological neuroscience.