Inter Process Communication Python Packages

py-sharedmemory

Optimized Python IPC: Uses shared memory to bypass multiprocessing queue I/O bottlenecks, ideal for large data (1MB+) in scientific computing, RL, etc. Reduces system load and improves latency

iceoryx2

Eclipse iceoryx2™ - true zero-copy inter-process-communication with a Rust core

interprocesspyobjects

High-performance and seamless sharing and modification of Python objects between processes, without the periodic overhead of serialization and deserialization. Provides fast inter-process communication (IPC) via shared memory. Supports NumPy, Torch arrays, custom classes (including dataclass), classes with methods, and asyncio

ironbark

Inter Process Communication Library based on SharedMemory

winerp

An IPC based on Websockets. Fast, stable, and reliable