giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

TL;DR

Giotto-tda is a Python library that combines topological data analysis with machine learning, offering high-performance computations, versatile data handling, and tools for data exploration and interpretability.

Contribution

It provides a scikit-learn-compatible API and C++ implementations, enabling efficient topological analysis integrated into machine learning workflows.

Findings

Efficient topological data analysis for various data types.

Enhanced data exploration and interpretability tools.

Open-source library with comprehensive documentation.

Abstract

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.