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* 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 |
* 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 |
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* 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) |
* 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) |
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Homepage: | == Homepage == |
RPyC (pronounced like are-pie-see), or Remote Python Call, is a transparent and symmetrical python library for remote procedure calls, clustering and distributed-computing. 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.
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
Use cases
- 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)