The proposed project aims to address the sustainability challenges faced by open-source software projects by using an agent-based modelling and simulation approach. Open-source projects often face issues such as limited resources, difficulty in attracting and retaining contributors, and communication breakdowns, which can hinder their growth and sustainability. To address these challenges, the project will simulate various scenarios and identify the factors that contribute to the success or failure of open-source projects. The project will provide a framework that enables simulating different scenarios to assist project maintainers in making informed decisions that promote sustainability. This approach can offer a more detailed and context-specific understanding of the challenges open-source projects face and develop effective strategies for maintaining their sustainability.

The Virtual Brain (TVB) is a neuroinformatics platform for full brain network simulations using biologically realistic connectivity. It enables the model-based inference of neurophysiological mechanisms across different brain scales that underlie the generation of macroscopic neuroimaging signals including functional MRI (fMRI), EEG and MEG. Learn more at: https://www.thevirtualbrain.org/tvb/zwei

Bhalla lab develops and maintains the simulator MOOSE, the Multiscale Object-Oriented Simulation Environment. It is designed to simulate neural systems ranging from biochemical signaling to complex models of single neurons, circuits, and large networks. A typical use case is to model neural activity-driven synaptic plasticity, in which network activity to synapses triggers biochemical reaction-diffusion events, which in turn modulate ion channels to give rise to synaptic plasticity. Learn more at: https://www.ncbs.res.in/faculty/bhalla

GeNN is a GPU enhanced Neuronal Network simulation environment based on NVIDIA CUDA technology. Learn more at: https://genn-team.github.io/genn/

BRIAN is a free, open source simulator for spiking neural networks. It is written in the Python programming language and is available on almost all platforms. BRIAN is designed to be easy to learn and use, highly flexible, and easily extensible. Learn more at: https://briansimulator.org/.