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I have a machine learning algorithm currently implemented in R, wrapped in python (rpy2). I would like to deploy this inside a web application and I am looking for the right platform to do this, ideally:

  • no admin
  • free at first, until there is significant traffic
  • easy python setup
  • able to scale: my application is using large datasets, and it's going to grow

I initially thought that Google App Engine was the place to go, but support for R (renjin) seems complicated (renjin), and I doubt that R calls from python will be easily done.

Another option is to switch to Octave but Octave support seems even more limited among these kind of platforms. Last option is to switch everything to python...

Thanks for the advices.

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I think this question is appropriate for stackoverflow – Stéphane Laurent Sep 28 '12 at 8:15
sorry I would have put this as a comment, but I can't... It is not an answer to your question but an opportunity if you don't find one: You could implement your algorithm in python. There is numpy for statistics in python. – ExpectoPatronum Sep 28 '12 at 8:38
A recent question, SVM for web application, was migrated to SO where you are likely to get good responses. – chl♦ Sep 28 '12 at 12:32
Thanks for your answers. I was not sure it was appropriate for SO since there might be lots of different answers and much more experience on R in cloud on Cross Validated. – RockridgeKid Sep 28 '12 at 22:05

closed as off topic by Bernd Weiss, Peter Flom, chl♦ Sep 28 '12 at 12:32

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