BRAPH 2: A flexible, open-source, reproducible, community-oriented, easy-to-use framework for network analyses in neurosciences

As network analyses in neuroscience continue to grow in both complexity and size, flexible methods are urgently needed to provide unbiased, reproducible insights into brain function. BRAPH 2 is a versatile, open-source framework that meets this challenge by offering streamlined workflows for advanced statistical models and deep learning, while supporting community-oriented extension, reuse, and sharing. Through its Genesis compiler, users can build specialized distributions with custom pipelines, ensuring flexibility and scalability across diverse research domains. These capabilities support reproducibility and accelerate discovery in neuroscience.