Frontend Frameworks

RPyC

A transparent and symmetric RPC library for Python

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0

What it is

RPyC is a Remote Procedure Call library that allows you to expose local objects remotely, making them accessible over the network. It's designed with simplicity and transparency in mind, providing a seamless experience for developers working with distributed systems.

RPyC stands out with its simplicity and transparency in providing remote procedure call functionality, making it an excellent choice for developers who need to expose local objects remotely without the complexity of other RPC solutions.

When it fits — and when it doesn’t

A good fit for

  • Developers working on distributed systems who need to expose local objects remotely

  • Teams building networked applications that require seamless remote procedure calls in Python

Look elsewhere if

  • Projects requiring real-time streaming capabilities (RPyC is not designed for this)

  • Applications needing a web-based UI or platform integration, as RPyC operates primarily as a library

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support restricts cross-language projects

    RPyC is primarily designed for Python and lacks robust support for other languages, limiting its utility in polyglot environments.

  2. 02

    Complex setup for secure connections can be daunting

    Configuring RPyC to use SSL/TLS requires manual configuration and handling of certificates, which can be error-prone and time-consuming.

  3. 03

    Performance overhead due to Python's GIL

    RPyC's performance is constrained by the Global Interpreter Lock (GIL) in CPython, potentially leading to slower execution times for CPU-bound tasks.

  4. 04

    Documentation lacks depth and examples for advanced use cases

    The official documentation provides basic usage but falls short on detailed explanations of advanced features or troubleshooting common issues.

What it does well

  • Transparent and symmetric RPC functionality

  • Simplicity in exposing local objects remotely

  • Network accessibility for Python applications

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up RPyC

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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