There was a discussion on the blog about simple provenance tools back in
2012 [1], and Robin Wilson recently introduced me to another Python-only
tool called recipy [2]. What do people on this list currently use to
track the provenance of their original data sets and their intermediate
and final results? How well does it work across languages? How easy
was it to learn, and how much effort does it take day-to-day?
Thanks,
Greg
[1]
http://software-carpentry.org/blog/2012/10/wanted-an-entry-level-provenance-library.html
[2] https://github.com/recipy/recipy
On 2015-09-07 10:39 AM, Bartosz wrote:
Hi Raniere,
You forgot to attach the link, but I guess you meant this project [1].
We have developed similar project, called sumatra, to track provenance
for python and non-python projects [2,3]
Sumatra has been used so far in neural modelling and data analysis,
but I am not aware of any reports describing use of sumatra in real
world projects. Perhaps, you could contact the main developer, Andrew
Davison (in cc), who might be able to provide you with more information.
Yours,
Bartosz
[1] https://github.com/gems-uff/noworkflow
[2] http://pythonhosted.org/Sumatra/
[3] https://osf.io/rc5jf/
Hi everyone,
during last Spring I watched one talk from João Felipe, in copy,
about his M.S. project noWorkflow [1] that is under MIT license and
briefly
aims at allowing scientists to benefit from provenance data
analysis even
when they don't use a workflow system.
João contacted me because he is looking for open science projects
under developing that he could use as examples for noWorkflow
or that are interested in testing noWorkflow (I'm sure that he will
be happy
to help you doing it as easy as possible if this is the case).
Since I think that many people in this list could be interested
in João's project I'm sending this email.
You can contact João directly.
Cheers,
Raniere
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Dr. Greg Wilson | [email protected]
Software Carpentry | http://software-carpentry.org
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