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

Triptych for data exchange and persistence

Bytecode manipulation in runtime, true shared memory, async LMDB, async Tkinter, async wxPython, async PySide, async PyQt, async loop with almost preemptive multitasking within the single thread, text parsing, rich introspection, etc.