Apache License 2.0
Yes
ReproNim: A Center for Reproducible Neuroimaging Computation
NITRC
ReproNim/containers
MacOS, Linux
Yes
Yaroslav Halchenko
This repository provides a DataLad dataset (git/git-annex repository) with a collection of popular computational tools provided within ready to use containerized environments. Versions of all images are tracked using git-annex with content of the images provided from a dedicated Singularity Hub Collection and http://datasets.datalad.org (AKA /// of DataLad) or other original collections.
The aims for this project are: 1) to be able to include this repository as a subdataset within larger study (super)datasets to facilitate rapid and reproducible computation, while adhering to YODA principles and retaining clear and unambiguous association between data, code, and computing environments using git/git-annex/DataLad; 2) to assist with containers execution in "sanitized" environments: no $HOME or system-wide /tmp is bind-mounted inside the containers, no environment variables from the host system made available inside; 3) make Singularity images transparently usable on non-Linux (OSX) systems via Docker.
ReproNim/containers
Workflow, Knowledge Environment, MR, Domain Independent, Apache License 2.0, MacOS, Linux
http://www.nitrc.org/projects/reprocontainers/, http://https://github.com/ReproNim/containers
yoh@onerussian.com