Scikit-TDA is a home for Topological Data Analysis (TDA) libraries in python. Our intention is to help non-topologists get started and gain intuition with a variety of notebooks and tutorials. Our aim is to provide a library of TDA tools in python that are widely useable and easily approachable.
Scikit-TDA consists of a variety of packages with efficient and optimized implementations of commonly used TDA algorithms.
- ripser.py: A lean persistent homology library for python based on ripser.
- kepler-mapper: A flexible python implementation of the Mapper algorithm.
- persim: Distances and representations of persistence diagrams.
- cechmate: Custom filtration constructors for python.
- tadasets: Synthetic datasets for TDA benchmarking and exploration.
For complete documentation, please check out docs.scikit-tda.org.
