causal-hub

causal-hub is a library for causal models, inference and discovery.

Introduction

causal-hub provides a unified interface for working with causal models, enabling users to easily define, manipulate, and infer causal relationships in their data.

The library is designed with a Rust backend, ensuring high performance and safety, with a Python frontend for ease of use in data science workflows.

Installation

To use causal-hub in your Rust project, add the following to your Cargo.toml:

[dependencies]
causal-hub = "*"

To use causal-hub in your Python project, you can install it via pip:

pip install causal-hub

BLAS

causal-hub relies on a BLAS implementation for efficient numerical computations. Please select one of the following features when installing the library:

• openblas-static: Statically link against OpenBLAS.
• openblas-system: Link against a system-installed OpenBLAS.

Changelog

All notable changes to this project will be documented in the CHANGELOG file.

License

This software is distributed under the terms of the GNU AFFERO GENERAL PUBLIC LICENSE, Version 3.

See the LICENSE file for a copy of the license.

Versioning

This software follows the SemVer specification.