ouxinfo 0.1.3

Fast Shannon entropy estimator using C++

OUxInfo

OUxInfo is a high-performance Shannon entropy estimator for Python, powered by a C++ backend. It is designed for fast and scalable entropy estimation, particularly for causal inference.

Features

• Fast Shannon entropy estimator (C++ backend)
• Python interface via pybind11
• Information-theoretic quantities for causal inference (e.g., transfer entropy, backward transfer entropy, information flow)

Installation

Requirements

• Python >= 3.10 (>= 3.12 recommended)
• GCC >= 11 (>= 13 recommended)
• OpenMP support (-fopenmp)

Install via pip

• PyPI

$ pip install ouxinfo

• Clone this repository and

$ pip install .

Dependencies

Python packages (installed automatically via pip)

• pybind11
• numpy
• scipy
• matplotlib
• numba

C++ dependencies

• Boost C++ Libraries (Boost Software License, included in this repository)
• nanoflann (BSD License, included in this repository)

Usage (example)

import numpy as np
from ouxinfo import shannon_entropy

x = np.random.normal(0.e0, 1.e0, 10000)
H = shannon_entropy(x.reshape(-1,1), k=5)

License

This project is released under MIT license.

Third-party licenses

This project depends on the following libraries;

nanoflann (BSD License)

• Copyright 2008-2009 Marius Muja ([e-mail]). All rights reserved.
• Copyright 2008-2009 David G. Lowe ([e-mail]). All rights reserved.
• Copyright 2011-2025 Jose Luis Blanco ([e-mail]). Redistribution and use in source and binary forms are permitted under the BSD License.

Boost C++ Libraries (Boost Software License 1.0)

• Copyright John Maddock 2006, 2007.
• Copyright Paul A. Bristow 2006, 2007, 2009, 2010. Use, modification and distribution are subject to the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)

Boost is now bundled in the third_party/ directory and is used automatically during build.

pybind11 (BSD License)

Used for Python bindings.

NumPy, SciPy, Matplotlib, Numba

These libraries are installed via pip and are subject to their respective licenses.