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Overview of Phybers

Phybers is a Python library that shared several tools for cerebral tractography analysis. With the aim of improving its usability, the library has been separated into 4 primary modules: Segmentation, Clustering, Utils and Visualization. To find details about the usage of each module, please refer to the Phybers documentation

Prerequisites for installation

Phybers can be executed on both Windows and Ubuntu platforms. It has been tested on both OS with Python 3.9 and 3.11 versions. For running on Windows, make sure you have Microsoft Visual C++ 14.0 or a later version installed, which can be found at the Visual Studio Website

Installation

To install Phybers, it is recommended to create a Python environment. If you are using Anaconda, follow the instructions below for Windows and Ubuntu, respectively:

  1. Open a terminal and execute the following command to create a new Python environment, where "environment_name" is the name you want for your environment, and "x.x" corresponds to the Python version you wish to use:

conda create -n environment_name python=x.x

  1. To activate the environment, run:

conda activate environment_name

  1. To deactivate the environment when you are finished, run:

conda deactivate

To install the Phybers package, activate the environment and run the following command:

pip install phybers

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  • Python 44.8%
  • C 40.4%
  • C++ 11.7%
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