BI Lab ODIN 2025 Links

Cardinal Glue

Contact: Bryce Grier

An integrative python package that provides easy authentication with Google and Qualtrics, as well as Stanford-specific services. This is coupled with straightforward, pythonic file-management capabilties for Google Drive and Cloud. Additional functionality allows for effective UID management within the Stanford computing ecosystem.

NWB Tree

Contact: Bryce Grier

A python package that provides color-coded, visual inspection of NWB file compliance with NWB best practices.

OnDemand Sandbox Template

Contact: Bryce Grier

A template for an Open OnDemand sandbox app that allows for containerized, interactive data analysis while using HPC resources.

ARTS Open Framework

Contact: Sabar Dasgupta

An open framework for archival, reproducible, and transparent science that facilitates the validation of published results like figures from raw data through portable computation environments.

LiCoRICE

Contact: Sabar Dasgupta

An open-source realtime computation engine useful for data acquisition and closed-loop experimentation.

BI Lab Container

Contact: Paul Nuyujukian

Computational Environment container used by BI Lab. Used for browser-based jupyter/vs-code, script execution, and parallel/cluster execution across slurm and/or Kubernetes spaces.

Container Depot

Contact: Paul Nuyujukian

containerdepot.stanford.edu
A future site for assembling and exploring accessible, web-based OCI containers compatible with docker and podman. Currently has a form for submitting containers to be made visible via the site.

Trusted Timestamping

Contact: Paul Nuyujukian

Timestamping of data and code via RFC 3161. Cryptographically secure, no knowledge, with a public record of timestamps and long-term validation. Git integration enables electronic lab notebooks.

Leveraging DevOps for Scientific Computing

Contact: Paul Nuyujukian

Framework for deploying CI/CD pipelines for scientific computing across heterogeneous computational environments.

Data Best Practices Workshops

Contact: Bryce Grier

A workshop series aimed at enabling researchers to make better use of their data and conduct more rigorous, open, and reproducible science. Topics range from introductory to highly technical and focus on open-source or free-to-use tools and methodologies.