Download and Install

You can always download the latest releases of RPyC from the project’s github page or its PyPI page. The easiest way to install RPyC, however, is using:

pip install rpyc

If you don’t want to mess with virtualenvs or mess with system directories, install as user:

pip install rpyc --user

Be sure to read the changelog before upgrading versions! Also, always link your own applications against a fixed major version of rpyc!

Platforms and Interpreters

RPyC is a pure-python library, and as such can run on any architecture and platform that runs python (or one of its other implementations), both 32- and 64-bit. This is also true for a client and its server, which may run on different architectures. The latest release supports:

  • Python (CPython) 2.7-3.7
  • May work on py2.6
  • May work with Jython and IronPython. However, these are not primary concerns for me. Breakage may occur at any time.

Cross-Interpreter Compatibility

Note that you cannot connect from a Python 2.x interpreter to a 3.x one, or vice versa. Trying to do so will results in all kinds of strange exceptions, so beware. This is because Python 3 introduces major changes to the object model used by Python 2.x: some types were removed, added or unified into others. Byte- and Unicode- strings gave me a nightmare (and they still account for many bugs in the core interpreter). On top of that, many built-in modules and functions were renamed or removed, and many new language features were added. These changes render the two major versions of Python incompatible with one another, and sadly, this cannot be bridged automatically by RPyC at the serialization layer.

It’s not that I didn’t try – it’s just too hard a feat. It’s bascially like writing a 100% working 2to3 tool, alongside with a matching 3to2 one; and that, I reckon, is comparable to the halting problem (of course I might be wrong here, but it still doesn’t make it feasible).

Big words aside – you can connect from Python 2.x to Python 2.y, as long as you only use types/modules/features supported by both; and you can connect from Python 3.x to Python 3.y, under the same assumption.


As a side note, do not try to mix different versions of RPyC (e.g., connecting a client machine running RPyC 3.1.0 to a server running RPyC 3.2.0). The wire-protocol has seen little changes since the release of RPyC 3.0, but the library itself has changed drastically. This might work, but don’t count on it.


Mailing List

There is an old mailing list that may contain useful information and that you should search before asking questions. Nowadays however, do not count on getting any answers for new questions there.


RPyC is developed on github, where you can always find the latest code or fork the project.

Bugs and Patches

We’re using github’s issue tracker for bug reports, feature requests, and overall status.

Patches are accepted through github pull requests.


The core of RPyC has no external dependencies, so you can use it out of the box for “simple” use. However, RPyC integrates with some other projects to provide more features, and if you wish to use any of those, you must install them: