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strictpy runtime type enforcement for Python — no coercion, no surprises.

Project description

🚀 Stricty

Strict runtime type enforcement for Python — no coercion, no surprises.

Stricty makes Python behave more like C/C++ when it comes to type safety. It enforces exact type matching for function arguments and return values at runtime.


✨ Features

  • ✅ Strict function argument validation
  • ✅ Return type enforcement
  • ❌ No implicit type conversion
  • ⚡ Lightweight and fast
  • 🧠 Clear, developer-friendly error messages

🔥 Why Stricty?

Python is dynamically typed:

def add(x: int, y: int):
    return x + y

add("1", 2)  # ❌ No error by default

Stricty enforces fail-fast behavior:

from strictpy import strict

@strict
def add(x: int, y: int) -> int:
    return x + y

add(1, 2)        # ✅ 3
add("1", 2)      # ❌ StrictTypeError

🧪 Return Type Enforcement

@strict
def get_number() -> int:
    return "10"   # ❌ Error

⚠️ Philosophy

Stricty follows a simple rule:

"Wrong type? Fail immediately."

No:

  • silent conversions
  • hidden bugs
  • unexpected behavior

🆚 Comparison

Feature Stricty Pydantic mypy
Runtime validation
Strict (no coercion)
Return enforcement ⚠️ manual
Lightweight

📦 Installation

pip install strictpy

📂 Project Structure

strictpy/
├── decorator.py
├── validator.py
├── errors.py

🚀 Roadmap

v1

  • Argument validation
  • Return validation
  • Custom errors

v2

  • Support for List, Dict, Optional
  • Better error messages
  • Config system

v3

  • Django / API integration
  • Performance optimizations

🤝 Contributing

Contributions are welcome!

  1. Fork the repo
  2. Create a new branch
  3. Make changes
  4. Submit a PR

📜 License

This project is licensed under the MIT License.


💡 Author

Backend-focused developer building reliable and predictable systems.


⭐ Final Thought

Python is flexible. Stricty makes it predictable.

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