ArticleScientific reports2025
infomeasure: a comprehensive Python package for information theory measures and estimators.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Functional connectivity networks for transportation delay analysis: From theory to software.Transportation research interdisciplinary perspectives · 2026Article
- Frontal Alpha Asymmetry and Electrodermal Activity: A Mutual Information Analysis Across Cognitive Load and Sleep Deprivation.Biosensors · 2026Article
- Functional Connectivity Between Human Motor and Somatosensory Areas During a Multifinger Tapping Task: A Proof-of-Concept Study.NeuroSci · 2026Article
- Autism spectrum disorder disrupts brain network connectivity maturation during childhood development.Scientific reports · 2025Article
- On the limits of the intervention on complex systems guided by functional networks.Scientific reports · 2025Article
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Authors and funding
3 authors.
Funding
Abstract
Information theory, i.e. the mathematical analysis of information and of its processing, has become a tenet of modern science; yet, its use in real-world studies is usually hindered by its computational complexity, the lack of coherent software frameworks, and, as a consequence, low reproducibility. We here introduce infomeasure, an open-source Python package designed to provide robust tools for calculating a wide variety of information-theoretic measures, including entropies, mutual information, transfer entropy and divergences. It is designed for both discrete and continuous variables; implements state-of-the-art estimation techniques; and allows the calculation of local measure values, p-values and t-scores. By unifying these approaches under one consistent framework, infomeasure aims to mitigate common pitfalls, ensure reproducibility, and simplify the practical implementation of information-theoretic analyses. In this contribution, we explore the motivation and features of infomeasure; its validation, using known analytical solutions; and exemplify its utility in a case study involving the analysis of human brain time series.
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Registered trials
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