{"repo":"braph-software/BRAPH-2","free":true,"listed":false,"github":"https://github.com/braph-software/BRAPH-2","clone":"git clone https://github.com/braph-software/BRAPH-2.git","description":"BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.","language":"MATLAB","stars":69,"topics":["open-source","computational-neuroscience","data-science","data-visualization","machine-learning","matlab","neuroscience","biomedical-engineering","brain-connectivity-analysis","brain-research"],"license":null,"category":"machine-learning","readme_excerpt":"BRAPH 2 — F lexible, O pen-source, R eproducible, C ommunity-Oriented, E asy-to-use Framework for Network Analysis in Neurosciences BRAPH 2 is a MATLAB-based framework for network analysis in neurosciences. Its standard distribution offers advanced multilayer graph analysis, deep learning, and statistical tools. The hallmark of BRAPH 2 is Genesis , a compiler that lets you create tailored distributions by integrating your own methods or specialized pipelines alongside these built-in capabilities. This flexible architecture fosters community-driven innovation, scalability, and reproducibility across diverse research fields. Genesis advantages to compile a new custom BRAPH 2 distribution To create a custom BRAPH 2 distribution with new methods or specialized analysis pipelines, users prepare a configuration file (genesis config.txt) along with custom elements, pipeline scripts, and optional tutorial files. The Genesis module then integrates these with BRAPH 2’s core components through a structured compilation process, including directory setup, file integration, element compilation, GUI layout generation, and unit test creation. The final output is a customized, no-code GUI distribution, offering a flexible, open-source, reproducible, community-driven, and user-friendly framework for network analysis in neuroscience. A practical example can be found in the BRAPH 2 Genesis Tutorials for creating a BRAPH 2 Hello, World! Distribution. Watch the introductory video: https://github.c","default_branch":null,"files":null,"tree":[],"storefront":"/r/braph-software","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/braph-software/BRAPH-2/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}