iceoryx2 0.7.0rc1

Python bindings for iceoryx2

iceoryx2 - Zero-Copy Lock-Free IPC Purely Written In Rust

• Introduction
• Performance
  • Comparision Of Mechanisms
    • Benchmark-System
  • Comparision Of Architectures
• Documentation
• Supported Platforms
• Language Bindings
• Commercial Support
• Thanks To All Contributors

Introduction

Welcome to iceoryx2, the efficient, and ultra-low latency inter-process communication middleware. This library is designed to provide you with fast and reliable zero-copy and lock-free inter-process communication mechanisms.

So if you want to communicate efficiently between multiple processes or applications iceoryx2 is for you. With iceoryx2, you can:

• Send huge amounts of data using a publish/subscribe, request/response, pipeline (planned) or blackboard pattern (planned), making it ideal for scenarios where large datasets need to be shared.
• Exchange signals through events, enabling quick and reliable signaling between processes.

iceoryx2 is based on a service-oriented architecture (SOA) and facilitates seamless inter-process communication (IPC).

It is all about providing a seamless experience for inter-process communication, featuring versatile messaging patterns. Whether you're diving into publish-subscribe, events, request-response, or the promise of upcoming features like pipelines, and blackboard, iceoryx2 has you covered.

One of the features of iceoryx2 is its consistently low transmission latency regardless of payload size, ensuring a predictable and reliable communication experience.

iceoryx2's origins can be traced back to iceoryx. By overcoming past technical debts and refining the architecture, iceoryx2 enables the modularity we've always desired.

In the near future, iceoryx2 is poised to support at least the same feature set and platforms as iceoryx, ensuring a seamless transition and offering enhanced capabilities for your inter-process communication needs. So, if you're looking for lightning-fast, cross-platform communication that doesn't compromise on performance or modularity, iceoryx2 is your answer.

Performance

Comparision Of Mechanisms

Benchmark-System

• CPU: Intel i7 13700h
• OS: Linux 6.10.10-arch1-1 #1 SMP PREEMPT_DYNAMIC
• Compiler:
  • rustc 1.81.0
  • gcc 14.2.1 20240910

Comparision Of Architectures

Documentation

The documentation can be found at:

language
C	Documentation Link
C++	Documentation Link
Python	Documentation Link
Rust	Documentation Link

Supported Platforms

The support levels can be adjusted when required.

Operating System	State	Current Support Level	Target Support Level
Android	planned	-	tier 1
FreeBSD	done	tier 2	tier 1
FreeRTOS	planned	-	tier 2
ThreadX	planned	-	tier 2
iOS	planned	-	tier 2
Linux (x86_64)	done	tier 2	tier 1
Linux (aarch64)	done	tier 2	tier 1
Linux (32-bit)	done	tier 2	tier 1
Mac OS	done	tier 2	tier 2
QNX 7.1	done	tier 3	tier 1
QNX 8.0	in-progress	-	tier 1
VxWorks	planned	-	tier 1
WatchOS	planned	-	tier 2
Windows	done	tier 2	tier 2

• tier 1 - All safety and security features are working.
• tier 2 - Works with a restricted security and safety feature set.
• tier 3 - Work in progress. Might compile and run or not.

[!NOTE] Yocto recipes are available at: meta-iceoryx2

Language Bindings

Language	State
C / C++	done
Python	done
Go	planned
C#	planned
Java	planned
Kotlin	planned
Lua	planned
Swift	planned
Zig	planned

Commercial Support

[e-mail]

commercial extensions and tooling custom feature development training and consulting integration support engineering services around the iceoryx ecosystem

Thanks To All Contributors

Thanks to everyone who has contributed to iceoryx2. Without their passion and dedication, the project wouldn't thrive. A list of people who have committed code can be found on github. However, contributions are not limited to code - testing the software, reporting bugs, and spreading the word about iceoryx2 are all equally valuable. A big thank you as well to those 'invisible' contributors who play a crucial role behind the scenes.