benavlabs/fastcrud

Health v2 · maintenance only

Adoption not part of the score

1594 stars · 115 forks observed · 2026-10-08

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

FastCRUD is a Python library for FastAPI that provides fully async CRUD operations built on SQLAlchemy 2.0 (or SQLModel) with Pydantic schemas. It auto-generates CRUD endpoints with features like auto-detected joins, dynamic filtering and sorting, and offset/cursor pagination.

Use cases

• generate crud endpoints for fastapi models
• async database crud operations with sqlalchemy
• build rest api endpoints automatically from pydantic schemas
• add cursor pagination for infinite scrolling in fastapi
• perform joins across sqlalchemy models without writing join conditions
• scaffold a fastapi backend crud layer quickly

When to choose

• you use FastAPI with SQLAlchemy 2.0 or SQLModel and want to eliminate boilerplate CRUD code
• you need auto-generated endpoints with joins, filtering, sorting, and pagination out of the box
• your stack is fully async and you want non-blocking database operations

When to avoid

• you use a non-SQLAlchemy ORM or a non-relational database
• you need fine-grained manual control over every endpoint's query logic and don't want generated abstractions
• your project is not built on FastAPI

Facets

library · maturity active

orm database api-framework routing serialization web-development backend apis databases developer-tools python cross-platform fastapi crud sqlalchemy pydantic async auto-generated-endpoints pagination sqlmodel web-server

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