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copied!<p>YMMV, but here are my results from evaluating RPyC, Pyro4 and ZeroRPC for use on an upcoming project. Note that there are not in-depth tests, nor is this intended to be an in-depth review, just my notes on how well each works for the needs of my upcoming project.</p> <p>ZeroRPC:</p> <ul> <li>quite a few dependencies</li> <li>very young project (main support from dotCloud)</li> <li>very little documentation</li> <li>can't access remote object's attributes, just methods</li> <li>Due to lack of attribute access, IPython tab completion does not work on remote objects</li> </ul> <p>Pyro4:</p> <ul> <li>Python3 support</li> <li>Nice, plentiful documenation</li> <li>mature project</li> <li>No attribute access/IPython tab completion</li> </ul> <p>Pyro3:</p> <ul> <li>support for attribute access (claimed in docs; have not verified)</li> <li>No Python3 support</li> </ul> <p>RPyC:</p> <ul> <li>attribute access, IPython tab completion on remote objects</li> <li>Python3 support (claimed in docs; not yet verified)</li> <li>spotty documentation</li> </ul> <p>FWIW:</p> <p>I tend to like RPyC (maybe because it was my first? ;-), but it's documentation is sparse. It was my first exposure to an RPC, and it took me a long time to "grok" how to get things working. The author (Tomer) is very helpful and does respond to Qs on the Google RPyC list.</p> <p>If you're new to RPC, I would suggest starting with Pyro and take advantage of its solid documentation to learn the ropes. Move on to RPyC, ZeroRPC, etc. as your needs require.</p>

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