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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

ironbark

Inter Process Communication Library based on SharedMemory

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

winerp

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