RPython is a translation and support framework for producing implementations of dynamic languages, emphasizing a clean separation between language specification and implementation aspects.
By separating concerns in this way, our implementation of Python - and other dynamic languages - is able to automatically generate a Just-in-Time compiler for any dynamic language. It also allows a mix-and-match approach to implementation decisions, including many that have historically been outside of a user's control, such as target platform, memory and threading models, garbage collection strategies, and optimizations applied, including whether or not to have a JIT in the first place.
.. toctree:: :maxdepth: 1 architecture faq
These documents are mainly interesting for users of interpreters written in RPython.
.. toctree:: :maxdepth: 1 arm logging
.. toctree:: :maxdepth: 1 rpython rlib rffi examples
.. toctree:: :maxdepth: 1 glossary getting-started dir-reference jit/index arch/index translation rtyper garbage_collection