Mypyc compiles Python modules to C extensions. It uses standard Python type hints to generate fast code. Mypyc uses mypy to perform type checking and type inference.
Mypyc can compile anything from one module to an entire codebase. The mypy project has been using mypyc to compile mypy since 2019, giving it a 4x performance boost over regular Python.
- Support most features in the stdlib
typingmodule - Compile clean, regular-looking Python code with type annotations
- Expressive type system, including generics, optional types, union types and tuple types
- Powerful type inference -- no need to annotate most variables
- All code is valid Python, and all Python editors and IDEs work just fine
- Access to all stdlib and third-party libraries in compiled code
- Strict runtime enforcement of type annotations for runtime type safety
- Ahead-of-time compilation for fast program startup
- Compiled code runs as normal Python code (compilation is optional)
- Both static type checking (via mypy) and runtime type checking
Documentation is available at ReadTheDocs.
We track the performance of mypyc using several benchmarks. Results are updated daily to make it easy to track progress.
The mypyc issue tracker lives in this repository. You can also ask questions in our Gitter chat.
- Write clean code without non-standard syntax, such as
cpdef, or extra decorators, with good performance. - First-class support for type system features such as tuple types, union types and generics.
- Variable type annotations are not needed for good performance, due to powerful type inference provided by mypy.
- Full integration with mypy for robust and seamless static type checking.
- Mypyc performs strict enforcement of type annotations at runtime, for better runtime type safety.
These are our near-term focus areas for improving mypyc:
- Improved compatibility with Python
- Much faster compilation (parallel and incremental compilation, and more)
- Usability
... and better performance (always!).
We are actively looking for early adopters! Mypyc is currently alpha software. It's only recommended for production use cases with careful testing, and if you are willing to contribute fixes or to work around issues you will encounter.
New contributors are very welcome! Any help in development, testing, documentation and benchmarking tasks is highly appreciated.
Useful links for contributors:
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The code lives in the mypyc subdirectory of the mypy repository.
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We have developer documentation.
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Use the issue tracker to find things to work on.
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You can ask questions in our Gitter chat.
Follow our updates on the mypy blog: https://mypy-lang.blogspot.com/
Mypyc and mypy are licensed under the terms of the MIT License, with portions under the Python Software Foundation license (see the file LICENSE in the mypy repository).