Ripser.py
swMATH ID: | 32793 |
Software Authors: | Tralie, Christopher; Saul, Nathaniel; Bar-On, Rann |
Description: | Ripser.py is a lean persistent homology package for Python. Building on the blazing fast C++ Ripser package as the core computational engine, Ripser.py provides an intuitive interface for: computing persistence cohomology of sparse and dense data sets, visualizing persistence diagrams, computing lowerstar filtrations on images, and computing representative cochains. We supply a large set of interactive notebooks that demonstrate how to take advantage of all the features available. Ripser.py is an evolution of the original C++ Ripser project. We have put extensive work into making the package available to Python developers across all major platforms. If you are having trouble installing, please let us know by opening a github issue. |
Homepage: | http://ripser.scikit-tda.org |
Source Code: | https://github.com/scikit-tda/ripser.py |
Dependencies: | Python |
Keywords: | Topological data analysis; TDA; Persistent Homology; Python; Journal of Open Source Software; JOSS |
Related Software: | Ripser; Scikit; GitHub; PersistenceImages; t-SNE; Gudhi; Eirene; SW1PerS; SciPy; Python; TensorFlow; giotto-tda; Scikit-tda; COIL-100; UMAP; Ripser++; Flagser; PersistenceDiagrams.jl; ComputationalHomology.jl; Sparips.jl |
Cited in: | 15 Documents |
Standard Articles
1 Publication describing the Software | Year |
---|---|
Ripser.py: A Lean Persistent Homology Library for Python Link Christopher Tralie, Nathaniel Saul, Rann Bar-On |
2018
|
all
top 5
Cited by 45 Authors
all
top 5
Cited in 10 Serials
all
top 5