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.
- 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.
- 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.
- 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.
- 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.
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