sqlsymphony_orm 0.1.2

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SQLSymphony

A simple and powerful ORM library in Python

SQLSymphony: The elegant and powerful SQLite3 ORM for Python

SQLSymphony is a lightweight ✨, powerful 💪, and high-performance⚡️, Object-Relational Mapping (ORM) library for Python, designed to simplify the interaction with SQLite3 databases. It provides a Pythonic, object-oriented interface that allows developers to focus on their application's bussiness logic rather than the underlying database management.

SQLSymphony ORM - powerful and simple ORM for python

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│ Version          │ 0.1.0           │ Stable               │
│ Author           │ alexeev-prog    │ Maintainer&Developer │
│ License          │ GNU GPL v3      │ License of library   │
│ Language         │ Python 3.12.7   │ Main language        │
│ PyPi pep package │ sqlsymphony_orm │ Package name         │
└──────────────────┴─────────────────┴──────────────────────┘

🌟 Comparison with Alternatives

Feature	SqlSymphony	SQLAlchemy	Peewee
💫 Simplicity	✔️	✔️	❌
🚀 Performance	✔️	❌	✔️
🌐 Database Agnosticism	❌	✔️	❌
📚 Comprehensive Documentation	✔️	✔️	✔️
🔥 Active Development	✔️	✔️	❌

🤔 Why Choose SqlSymphony?

✨ Simplicity: SqlSymphony offers a straightforward and intuitive API for performing CRUD operations, filtering, sorting, and more, making it a breeze to work with databases in your Python projects.

💪 Flexibility: The library is designed to be database-agnostic, allowing you to switch between different SQLite3 implementations without modifying your codebase.

⚡️ Performance: SqlSymphony is optimized for performance, leveraging techniques like lazy loading and eager loading to minimize database queries and improve overall efficiency.

📚 Comprehensive Documentation: SqlSymphony comes with detailed documentation, including usage examples and API reference, to help you get started quickly and efficiently.

🔍 Maintainability: The codebase follows best practices in software engineering, including principles like SOLID, Clean Code, and modular design, ensuring the library is easy to extend and maintain.

🧪 Extensive Test Coverage: SqlSymphony is backed by a comprehensive test suite, ensuring the library's reliability and stability.

📚 Key Features

• Intuitive API: Pythonic, object-oriented interface for interacting with SQLite3 databases.
• Database Agnosticism: Seamlessly switch between different SQLite3 implementations.
• Performance Optimization: Lazy loading, eager loading, and other techniques for efficient database queries.
• Comprehensive Documentation: Detailed usage examples and API reference to help you get started.
• Modular Design: Clean, maintainable codebase that follows best software engineering practices.
• Extensive Test Coverage: Robust test suite to ensure the library's reliability and stability.

🚀 Getting Started

To install SqlSymphony, use pip:

pip install sqlsymphony_orm

Once installed, you can start using the library in your Python projects. Check out the documentation for detailed usage examples and API reference.

💻 Usage Examples

Creating a Model

from sqlsymphony import Model, fields

class User(Model):
    id = fields.IntegerField(primary_key=True)
    name = fields.CharField()

Performing CRUD Operations

Create a new record

user = User(name='John Doe', email='[e-mail]')
user.save()

Read records

all_users = User.all()
user = User.get(id=1)

Update a record

user = User.get(id=1)
user.email = '[e-mail]'
user.save()

Delete a record

user = User.get(id=1)
user.delete()

🤝 Contributing

We welcome contributions from the community! If you'd like to help improve SqlSymphony, please check out the contributing guidelines to get started.

💬 Support

If you encounter any issues or have questions about SqlSymphony, please:

• Check the documentation for answers
• Open an issue on GitHub
• Reach out to the project maintainers via the mailing list

🔮 Roadmap

Our future goals for SqlSymphony include:

• 📚 Expanding support for more SQLite3 features
• 🚀 Improving performance through further optimizations
• ✅ Enhancing the testing suite and code coverage
• 🌍 Translating the documentation to multiple languages
• 🔧 Implementing advanced querying capabilities