depyler
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Bu listing icin henuz AI raporu yok.
Compiles Python to Rust, helping transition off of Python to Energy Efficient and Safe Rust Code
Depyler translates annotated Python code into idiomatic Rust, preserving program semantics while providing compile-time safety guarantees. Part of the PAIML Stack.
Table of Contents
- Features
- Installation
- Quick Start
- Usage
- Supported Python Features
- Stdlib Module Support
- Architecture
- Documentation
- Quality Metrics
- Contributing
- License
v3.25.0 Milestone: Multi-Corpus Convergence
All three external corpus targets now met:
| Corpus | Compile Rate | Target |
|---|---|---|
| Tier 1 (stdlib) | 92.7% (38/41) | 80% ✅ |
| Tier 2 (typed-cli) | 62.5% (10/16) | 60% ✅ |
| Tier 5 (algorithms) | 47.5% (48/101) | 40% ✅ |
| Internal examples | 80% (256/320) | 80% ✅ |
Features
- 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
- 80%+ Single-Shot Compile Rate — Most Python files compile on first transpilation attempt
Installation
cargo install depyler
Requirements
- Rust 1.83.0 or later
- Python 3.8+ (for test validation)
Quick Start
Compile to Binary
The fastest way to use Depyler:
# Compile Python to a standalone binary
depyler compile script.py
# Run the compiled binary
./script
Transpile to Rust
# Transpile a Python file to Rust
depyler transpile example.py
# Transpile with semantic verification
depyler transpile example.py --verify
Example
Input (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)
}
Usage
Compilation Options
# 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
Transpilation Options
# Show transpilation trace
depyler transpile example.py --trace
# Explain transformation decisions
depyler transpile example.py --explain
# Analyze migration complexity
depyler analyze example.py
Library Usage
use 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(())
}
Supported Python Features
| 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.
Stdlib Module Support
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.
Architecture
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 |
Documentation
- API Documentation
- MCP Quickstart
- Agent Mode Guide
- Developer Prompts
- Changelog
- TDD Book
- 🤖 Coursera Hugging Face AI Development Specialization - Build Production AI systems with Hugging Face in Pure Rust
Quality Metrics
| Metric | Value |
|---|---|
| Single-Shot Compile Rate | 80% (256/320 examples) |
| Line Coverage | 87.85% |
| Function Coverage | 92.85% |
| Total Tests | 14,000+ |
| Mutation Kill Rate | 75%+ |
Run coverage locally:
cargo llvm-cov nextest --workspace --lib --summary-only
Contributing
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.
MSRV
Minimum Supported Rust Version: 1.83
License
Licensed under MIT License. See LICENSE for details.
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