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111 lines
3.4 KiB
Markdown
111 lines
3.4 KiB
Markdown
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Codon's goal is to be as close to CPython as possible while still
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being fully statically compilable. While Codon already supports
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much of Python, there is still much to be done to fully realize
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its potential. Here is a high-level roadmap of the things we want
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to add, implement or explore.
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# Core features
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- Type system improvements:
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- First-class types and compile-time metaclasses
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- Full class member deduction
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- Implicit union types to support mixed-type collections
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- Variadic type arguments (e.g. `Foo[Bar, ...]`)
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- Parallelism
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- `async`/`await` support
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- `multiprocessing` support
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- Automatic locking in parallel code (e.g. if mutating a
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data structure shared between threads)
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- Race detection
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- Compatibility with Python 3.10+:
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- Argument separators (`/` and `*`)
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- Constructor object matching in the `match` statement
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- Support accessing various object properties (`__dict__`, `__slots__`
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etc.) as much as possible in a static context
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- Optional automatic switching between Codon and CPython (i.e.
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compile only compatible functions and leave the rest to Python)
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- Better error messages
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- Warning support
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- Explain performance considerations
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- Explain that a CPython feature is not supported
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- Modules and incremental compilation
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- Cache compilation modules
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- Fast generics compilation in debug mode for quick turnarounds
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- Memory management
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- Auto-tune GC
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- Optional alternative memory management modes like reference
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counting
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- GPU support
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- Target Apple, AMD and Intel GPUs
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- GPU-specific compiler optimizations (e.g. for using various
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Python constructs on the GPU)
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- Interoperability with other languages
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- Direct C++ interoperability via Clang
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- R interoperability
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# Libraries
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Currently, missing Python functionality can be easily accessed via a
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`from python import foo` statement, which is sufficient in most cases
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as many libraries are just thin wrappers around a C library and/or not
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performance-sensitive.
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However, in the near future, we would like to support the following
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modules natively:
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- Python's standard library
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- Complete builtins support
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- 1-to-1 compatibility with existing Python functions and modules
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- File modules: `os`, `sys`, `struct`, `pathlib` and so on
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- Pretty much everything else on an as-needed basis
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- Native NumPy, Pandas, etc.: Having Codon-native versions of the most
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popular 3rd-party libraries would allow them to work with Codon's
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other features like multithreading and GPU. We're currently prioritizing
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NumPy and Pandas but aim to later target other popular libraries as well.
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- Unicode support
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- Python's testing infrastructure
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# Infrastructure & Tools
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- Windows support
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- A sane package manager similar to Rust's
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[Cargo](https://github.com/rust-lang/cargo)
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- Auto-detection of installed Python libraries
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- Improved `codon.jit` library support
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- Better error messages
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- Better installation flow
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- Fully static binary support like Go
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- Remove `libcodonrt` (runtime library) dependency if needed
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- Remove `libcpp` dependency
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- Improved Jupyter support
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- Auto-completion and code inspection
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- Jupyter magic command support
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- Plugins for Visual Studio Code, Vim, Emacs and so on
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# Documentation
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- Fully document major differences with CPython
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- Document Codon IR API, with guides and tutorials
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- Document all supported modules
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# Nice to have
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- Implement Codon in Codon
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