giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration
This toolkit addresses the need for accessible and high-performance topological data analysis tools for researchers and practitioners in machine learning and data science, though it is incremental as it builds on existing methods.
The authors introduced giotto-tda, a Python library that integrates topological data analysis with machine learning to enhance data exploration and interpretability, providing a scikit-learn-compatible API and efficient C++ implementations.
We introduce giotto-tda, a Python library that integrates high-performance topological data analysis with machine learning via a scikit-learn-compatible API and state-of-the-art C++ implementations. The library's ability to handle various types of data is rooted in a wide range of preprocessing techniques, and its strong focus on data exploration and interpretability is aided by an intuitive plotting API. Source code, binaries, examples, and documentation can be found at https://github.com/giotto-ai/giotto-tda.