copapy

A couple of other interesting Python compiler projects recently.. https://github.com/Nonannet/copapy uses copy and patch, discussed here https://news.ycombinator.com/item?id=46972392 Single-pass SSA bytecode compiler and threaded-code stack VM for a sandboxed Python subset https://github.com/dylan-sutton-chavez/edge-python

I built Copapy as an experiment: Can Python be used for hard real-time systems? Instead of an interpreter or JIT, Copapy builds a computation graph by tracing Python code and uses a custom copy-and-patch compiler. The result is very fast native code with no GC, no syscalls, and no memory allocations at runtime. The copy-and-patch compiler currently supports x86_64 as well as 32- and 64-bit ARM. It comes as small Python package with no other dependencies - no cross-compiler, nothing except Python. The current focus is on robotics and control systems in general. This project is early but already usable and easy to try out. Would love your feedback!

Copapy is an experiment in making Python usable for hard real-time systems by removing almost everything that makes Python non-deterministic. Instead of an interpreter or JIT, Copapy builds a computation graph by tracing Python code and uses a copy-and-patch compiler to assemble machine code from precompiled templates, patched at compile time. The result is static native code with no GC, no syscalls, and no memory allocations at runtime. Once compiled, execution is fully predictable, and instruction counts and latency can be reasoned about ahead of execution. It also supports automatic differentiation, which is useful for control, optimization, and estimation workloads. Copapy treats Python as a frontend, not a runtime. During tracing, standard Python code is executed, allowing to benefit from Python's expressiveness and tooling. The copy