fastcrud

Easily test FastCRUD endpoints using FastAPI TestClient and async session injection. Follow our complete guide with examples to verify your auto-generated CRUD routes efficiently.

Integrate FastCRUD into your existing FastAPI app. Learn how to generate async CRUD endpoints easily with the crud_router function and include it seamlessly.

Learn how to configure response formatting in FastCRUD using schema_to_select return_as_model and nest_joins for raw dictionaries or Pydantic models.

Learn to implement dynamic query building with FastCRUD. This guide covers using its modular pipeline of builders, processors, and filters for efficient joins, sorting, and pagination.

Learn to use FastCRUD with SQLModel for efficient async CRUD operations. This guide covers setup and best practices for faster database interactions. Enhance your Python backend development today.

Learn to implement count operations with FastCRUD using its async method. Explore joins, distinct counts, and sub-queries with detailed examples for efficient data retrieval.

Master FastCRUD with Pydantic v2 schemas. This guide shows type-safe CRUD operations for SQLAlchemy models. Accelerate your development now.

Learn to configure sort parameters in FastCRUD endpoints using query strings or the Python API. Master sorting for your API with this complete guide.

Learn to filter joined data in FastCRUD with dot-notation and FilterProcessor. This guide explains how to easily query SQLAlchemy relationships for powerful data retrieval.

Learn how to implement upsert operations in FastCRUD for single and multi-record updates. This guide covers native support for PostgreSQL, SQLite, and MySQL.

Master FastCRUD relationship auto-detection for seamless SQLAlchemy joins using auto_detect_relationships=True. Effortlessly include one-to-many relations with this guide.

Learn to add custom dependencies to FastCRUD endpoints effectively. This guide details using create_deps, read_deps, and more for seamless integration with FastAPI.