fastrdb

Follow DRY principles and keep your code DRY with FastRDB
FastRDB is a high-performance, generic CRUD operations package combining SQLAlchemy async ORM with Redis caching.

Features

• Type-Safe CRUD Operations: Built with Python type hints and generics for robust type checking
• SQLAlchemy Integration: Seamless integration with SQLAlchemy for database operations
• Redis Caching: Integrated Redis caching with automatic cache invalidation
• Async Support: Fully asynchronous operations using SQLAlchemy async ORM and Redis
• Pagination: Built-in pagination support with customizable limits and page numbers
• Pydantic Integration: Seamless integration with Pydantic for schema validation
• Generic Base Class: Extensible base class for creating custom CRUD operations
• Automatic Cache Management: Smart cache invalidation on data modifications
• Error Handling: Consistent error handling with custom exceptions

Note

• ⚡ FastRDB is designed with FastAPI (Fastest Python Web Framework) in mind, providing optimal support for asynchronous operations, dependency injection, and Pydantic-based validation.

• However, FastRDB is framework-agnostic — you can use it with any Python async environment (such as plain asyncio, Quart, Starlette, etc.), as long as you're using SQLAlchemy's async ORM.

• Whether you're building REST APIs, microservices, or internal tooling, FastRDB can boost your productivity with clean and reusable CRUD operations. 💡

Requirements

• Python 3.10 or higher
• SQLAlchemy
• Redis
• Pydantic
• orjson

You only need to ensure Python version compatibility. All other dependencies will be installed automatically with FastRDB.

Installation

• Using uv

First create a virtual environment and activate it
(if not already done and it's a good practice to keep your dependencies in a virtual environment) :

uv venv
source .venv/bin/activate 

Install FastRDB:

uv pip install fastrdb

• Using pip

Create a virtual environment and activate it:

python3 -m venv venv
source venv/bin/activate

Install FastRDB:

pip install fastrdb

Now you are ready to use FastRDB! 🤩

Tutorial

Click here to see a complete example