FWIW, if might come handy in the future, my 4c: > * What do we provide for scientific / data scientist use cases?
- https://snapshot.debian.org/ is the unique service allowing to "go back in time" or just "freeze" the environment given a date. Very handy for reproducibility, collab, etc. Not possible AFAIK on pypi or even conda unless researcher prepared a full exhaustive list of frozen package==version@build nd_freeze from neurodebian-freeze assists in making use of that feature. I just stick it at the top of my Dockerfile/Singularity file recipes to make container itself as reproducible as possible, so later on I could add another component less likely affecting already existing ones. - wider arch support for extensions and non-python libraries/tools. ppc64el is gaining some momentum AFAIK in sci computing - better guarantees to achieve desired installation goal. examples of pip/conda failing to resolve depends are more numerous AFAIK. - integration and downstream testing at package build time and via https://ci.debian.net/ anyone who cares to not only "get it running" but have some assurance of correct operation (not junk-in-junk-out) should appreciate that. pypi has no concerns on that at all. conda is doing quite good job and does allow for some downstream testing. But it remains "more fluid", unlike a clear cut releases of debian with better guarantees for correct operation -- Yaroslav O. Halchenko Center for Open Neuroscience http://centerforopenneuroscience.org Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 WWW: http://www.linkedin.com/in/yarik
