cbueth/infomeasure
Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.
This tool helps scientists and researchers understand how different variables relate to each other in their data. By inputting your datasets, it calculates various information measures like entropy and mutual information, revealing the underlying structure and dependencies within your observations. This is ideal for anyone working with experimental or observational data who needs to quantify relationships between signals or measurements.
Used by 1 other package. Available on PyPI.
Use this if you need to precisely measure the amount of information shared between different variables in your research, whether they are discrete categories or continuous values.
Not ideal if you are looking for simple correlation coefficients or just need to visualize basic data relationships without deep statistical quantification.
Stars
62
Forks
11
Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
Dependencies
4
Reverse dependents
1
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