Hi Julian, > Generally, org-babel is suited for long running computations. Its > caching can help you avoid rerunning code chunks. And long runtime does > not conflict with the idea of reproducible research, it just may be not > very comfortable for the user.
I agree of course that it’s generally a good idea to structure the analysis in small logical steps and to save intermediate results. Let me narrow down my question then: does org-babel support working with tasks that take several minutes to execute? By this I mean (most important first): - Not freezing the editor during the execution of a task - Being able to execute multiple independent tasks in parallel - Being able to interrupt a running task - Being able to inspect the incomplete output of a running task I’d love to hear about any frameworks or workflows that fulfill these requirements. Cheers Christoph PS. I’m using ipython notebooks but I’m not happy with them because of the freezing problem and the complete lack of isolation of tasks within a single notebook (they live in a common mutable namespace). I think a useful framework must be “functional” at the highest level for caching and dependencies to be useful.