I have just released version 0.9.14 of Shed Skin, a restricted-python to C++ transpiler. Shed Skin allows one to effectively convert (or transpile) pure Python code to highly optimized machine code. This comes at the cost though of having to conform to a seriously restricted subset of Python features/libraries. Although, it is possible to generate extension modules, that can be used in larger, unrestricted, programs.
While the previous release was just a month ago, I felt like there were so many important improvements already that I didn't want them to wait for the 1.0 release which looks like it may finally happen within a few months! From a completely rewritten and faster, more scalable, type inference engine, to full Unicode support, to almost complete feature parity with Python 3.15 (for the support modules), to support for heteregeneous 3-len tuples - it has been a hectic month :)
With all this in place, I'm starting to plan the final pieces I would like to see in place for a 1.0 release. There is still quite a bit of work left, but much of it is mechanical and just working through a long list of minor decisions and details.. It should be possible to have all that done around the end of the year.
I'm also happy to mention a relatively new but similar project here, TurboPython, which may be of interest to those reading this. The most interesting difference with Shed Skin is that it uses a RUST-like memory model: "TurboPython is a general-purpose, statically typed language that compiles Python through C++ to a native binary. It combines Python's syntax with an ownership model that gives memory safety and predictable performance—no garbage collector, no automatic reference counting, no GIL."
