Makes sense. The founding team came out of large scale brain imaging research, but the goal is that anything you'd do in a notebook / web UI environment (like Jupyter, RStudio, etc.) you should be able to do with the Gigantum Client.
The difference from the standard approach for those tools is that we automate some command line operations (Git, Docker, etc.), and provide UI for the rest. We provide a stable foundation for how to organize data using Git LFS, along with an optimized S3 storage back-end if you need to cherry pick large datasets.
Our main goal is to improve the quality of "academic" science, but we're open to anything that fits!
The difference from the standard approach for those tools is that we automate some command line operations (Git, Docker, etc.), and provide UI for the rest. We provide a stable foundation for how to organize data using Git LFS, along with an optimized S3 storage back-end if you need to cherry pick large datasets.
Our main goal is to improve the quality of "academic" science, but we're open to anything that fits!