zerorpc vs RPyC

Side-by-side — pricing, strengths, tradeoffs, and fit.

zerorpc

Flexible RPC implementation based on ZeroMQ and MessagePack.

RPyC

A transparent and symmetric RPC library for Python

At a glance

Open SourceFree Tier
◌ Declining·From $0
Open SourceFree Tier
● Established·From $0

Overview

One-liner

Flexible RPC implementation based on ZeroMQ and MessagePack.

One-liner

A transparent and symmetric RPC library for Python

Maturity

Declining

Maturity

Established

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Developers building high-performance, distributed applications in Python
Teams requiring efficient inter-process communication and serialization

✓ Best 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

Not ideal for

✕ Not for

Projects that require real-time streaming capabilities (zerorpc is not designed for this)
Applications needing a web-based UI or platform integration

✕ Not for

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

Strengths

↑ Strengths

Built on ZeroMQ for high-performance messaging
Uses MessagePack for efficient data serialization
Flexible RPC implementation suitable for various use cases

↑ Strengths

Transparent and symmetric RPC functionality
Simplicity in exposing local objects remotely
Network accessibility for Python applications

Weaknesses

↓ Weaknesses

Limited language support beyond Python
Small community and slower issue resolution

↓ Weaknesses

Limited language support restricts cross-language projects
Complex setup for secure connections can be daunting
Performance overhead due to Python's GIL
Documentation lacks depth and examples for advanced use cases
Full zerorpc profile →Full RPyC profile →