Depyler translates annotated Python code into idiomatic Rust, preserving program semantics while providing compile-time safety guarantees. Part of the PAIML Stack.
- Features
- Installation
- Quick Start
- Usage
- Supported Python Features
- Stdlib Module Support
- Architecture
- Documentation
- Contributing
- License
- Type-Directed Transpilation — Uses Python type annotations to generate appropriate Rust types
- Memory Safety Analysis — Infers ownership and borrowing patterns automatically
- Semantic Verification — Property-based testing to verify behavioral equivalence
- Single-Command Compilation — Compile Python to native binaries with
depyler compile - 27 Stdlib Modules — Production-ready support for common Python standard library modules
cargo install depyler- Rust 1.83.0 or later
- Python 3.8+ (for test validation)
The fastest way to use Depyler:
# Compile Python to a standalone binary
depyler compile script.py
# Run the compiled binary
./script# Transpile a Python file to Rust
depyler transpile example.py
# Transpile with semantic verification
depyler transpile example.py --verifyInput (fibonacci.py):
def fibonacci(n: int) -> int:
if n <= 1:
return n
return fibonacci(n - 1) + fibonacci(n - 2)Output (fibonacci.rs):
fn fibonacci(n: i32) -> i32 {
if n <= 1 {
return n;
}
fibonacci(n - 1) + fibonacci(n - 2)
}# Compile with custom output name
depyler compile script.py -o my_app
# Debug build (faster compilation)
depyler compile script.py --profile debug
# Release build (optimized, default)
depyler compile script.py --profile release# Show transpilation trace
depyler transpile example.py --trace
# Explain transformation decisions
depyler transpile example.py --explain
# Analyze migration complexity
depyler analyze example.pyuse depyler::{transpile_file, TranspileOptions};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let options = TranspileOptions::default()
.with_verification(true);
let rust_code = transpile_file("example.py", options)?;
println!("{}", rust_code);
Ok(())
}| Feature | Status |
|---|---|
| Functions with type annotations | Supported |
| Basic types (int, float, str, bool) | Supported |
| Collections (List, Dict, Tuple, Set) | Supported |
| Control flow (if, while, for, match) | Supported |
| Comprehensions (list, dict, set) | Supported |
| Generator expressions | Supported |
| Exception handling (→ Result<T, E>) | Supported |
| Classes and methods | Supported |
| Async/await | Supported |
| Context managers | Supported |
Not Supported: Dynamic features (eval, exec), runtime reflection, multiple inheritance, monkey patching.
27 modules validated with 151 tests passing (100% coverage).
| Category | Modules |
|---|---|
| Serialization | json, struct, base64, csv |
| Date/Time | datetime, calendar, time |
| Cryptography | hashlib, secrets |
| Text | textwrap, re, string |
| Math | math, decimal, fractions, statistics |
| File System | os, pathlib, io |
| Data Structures | collections, copy, memoryview, array |
| Functional | itertools, functools |
| Random | random |
| System | sys |
See validation report for details.
Python AST → HIR → Type Inference → Rust AST → Code Generation
| Component | Description |
|---|---|
| Parser | RustPython AST parser |
| HIR | High-level intermediate representation |
| Type System | Conservative type inference with annotation support |
| Verification | Property-based testing for semantic equivalence |
| Codegen | Rust code generation via syn/quote |
Contributions welcome! Please follow the quality standards:
- Write tests first (TDD)
- Maintain 80%+ coverage for new code
- Pass all clippy checks:
cargo clippy -- -D warnings - Format code:
cargo fmt
See CONTRIBUTING.md for details.
Licensed under MIT License. See LICENSE for details.