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A Lean Persistent Homology Library for Python

Project description

PyPI version Build Status codecov License: LGPL v3


Ripser is now a Python class implemented in the Scikit-learn style. It is easy to install, only requires that you have Cython installed first. It is even easier to use.

For the C++ library, see Ripser/ripser.

Details from the old readme can be found here.


Installation requires Cython, and currently must be installed from source. An example of how to install is

pip install Cython
pip install Ripser

We use matplotlib for generating persistence diagrams


import numpy as np
from ripser import Rips
r = Rips()

data = np.random.random((100,2))
diagram = r.fit_transform(data)

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ripser-0.1.7-cp36-cp36m-macosx_10_12_x86_64.whl (52.6 kB) Copy SHA256 hash SHA256 Wheel cp36
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