RPyC 3.2.3

A transparent and symmetrical Python library for remote procedure calls, clustering and distributed-computing in Python
RPyC stands for Remote Python Call.

RPyC makes use of object-proxying, a technique that employs Python's dynamic nature, to overcome the physical boundaries between processes and computers, so that remote objects can be manipulated as if they were local.

Main features:

  • General Features:
  • Transparent access to remote objects; program remotely as if working locally
  • Symmetric protocol, where both the client and server can serve requests (which allows, for instance, to use callbacks)
  • Synchronous and asynchronous invocation
  • Platform-agnostic: 32/64 bit, little/big endian, Windows/Linux/Solaris/Mac… access objects across different architectures.
  • Capability based security model
  • Integration with TLS/SSL and inetd
  • Usage Examples:
  • Excels in testing environments
  • Control multiple hardware or software platforms from a centralized point
  • Access remote physical (hardware) resources transparently
  • Distribute workload among multiple machines with ease
  • Implement remote services (like SOAP or RMI) quickly and concisely (without the overhead and limitations of these technologies)

last updated on:
December 5th, 2012, 1:17 GMT
license type:

MIT License

developed by:
Tomer Filiba
operating system(s):
Windows / Linux / Mac OS / BSD / Solaris
C: \ Modules \ Python Modules
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