python - How do Rpy2, pyrserve and PypeR compare? -

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i access r within python program. aware of rpy2, pyrserve , pyper.

what advantages or disadvantages of these 3 options?

i know 1 of 3 better others, in order given in question:

rpy2:

  • c-level interface between python , r (r running embedded process)
  • r objects exposed python without need copy data over
  • conversely, python's numpy arrays can exposed r without making copy
  • low-level interface (close r c-api) , high-level interface (for convenience)
  • in-place modification vectors , arrays possible
  • r callback functions can implemented in python
  • possible have anonymous r objects python label
  • python pickling possible
  • full customization of r's behavior console (so possible implement full r gui)
  • mswindows limited support

pyrserve:

  • native python code (will/should/may work cpython, jython, ironpython)
  • use r's rserve
  • advantages , inconveniences linked remote computation , rserve

pyper:

  • native python code (will/should/may work cpython, jython, ironpython)
  • use of pipes have python communicate r (with advantages , inconveniences linked it)

edit: windows support rpy2


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