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Containerized App Scheduler for NeuroImaging (CASNI) is a cutting-edge workload management tool designed specifically for the neuroimaging community. With the growing complexity and scale of neuroimaging data, there's a pressing need for efficient, scalable, and reproducible processing pipelines. CASNI harnesses the power of containerization technologies like Docker to address this need, allowing researchers and professionals to run neuroimaging tasks in a modular, isolated, and scalable environment.

• Containerized Workflows: Run neuroimaging workflows inside standardized containers ensuring consistency across various computing environments.
• Easy Scheduling: Schedule your neuroimaging tasks seamlessly without the hassle of configuring complex environments.
• Scalability: Whether you're processing data from a single patient or a cohort of thousands, CASNI scales according to your needs.
• Reproducibility: With containerization, reproduce your results across different platforms without any "it works on my machine" issues.

Detailed installation instructions are a work in progress. Stay tuned!

We're actively working on providing an easy-to-follow getting started guide. In the meantime, if you have questions or need assistance, please contact us.

Interested in contributing to CASNI? That's great! We appreciate any help, whether it's fixing bugs, proposing new features, or improving documentation. Please check our CONTRIBUTING.md file for guidelines (coming soon).

This project is licensed under the MIT License - see the LICENSE file for details.

• List any third-party libraries, datasets, or collaborators you wish to thank or acknowledge.

Stay connected for more updates, and thank you for your interest in CASNI!