What is the main benefit of using these FastAPI templates?

They provide a standardized, production-ready project structure that incorporates best practices like the repository pattern and dependency injection, saving developers hours of manual boilerplate setup.

Is authentication included in the templates?

Yes, the skill provides implementation patterns for JWT-based authentication, secure password hashing, and dependency-based authorization for protected routes.

How does this help with code maintainability?

By separating concerns into distinct API, Service, and Repository layers, it ensures that business logic is decoupled from data access and transport layers, making the codebase easier to test and scale.

Does this skill support asynchronous database operations?

Yes, it includes specific patterns for async/await usage with SQLAlchemy, including async session management, non-blocking database queries, and proper cleanup.

FastAPI Project Templates

Name: FastAPI Project Templates
Author: Activer007

byActiver007

Desarrollo de API

Generates production-ready FastAPI backend architectures featuring async patterns, dependency injection, and scalable repository structures.

Acerca de

This skill provides a comprehensive blueprint for building high-performance Python APIs using FastAPI. It implements industry best practices including a modular project layout, asynchronous database operations with SQLAlchemy, a clean repository-service pattern, and robust JWT-based authentication. Whether you are scaffolding a new microservice or refactoring an existing backend, this skill ensures your application is maintainable, testable, and optimized for high-concurrency environments through standardized patterns and comprehensive error handling.

Características Principales

Built-in Dependency Injection for session management and authorization
JWT-based security implementation with password hashing and lifespan events
Modular project layout separating API, service, and repository layers
Asynchronous database integration with SQLAlchemy and Pydantic schemas
Generic CRUD repository patterns for standardized data access
0 GitHub stars

Casos de Uso

Scaffolding new enterprise-grade REST APIs with Python and FastAPI
Setting up high-performance asynchronous microservices with PostgreSQL or MongoDB
Implementing clean architecture for complex backend business logic

Acerca de

Características Principales

Built-in Dependency Injection for session management and authorization
JWT-based security implementation with password hashing and lifespan events
Modular project layout separating API, service, and repository layers
Asynchronous database integration with SQLAlchemy and Pydantic schemas
Generic CRUD repository patterns for standardized data access
0 GitHub stars

Casos de Uso

Scaffolding new enterprise-grade REST APIs with Python and FastAPI
Setting up high-performance asynchronous microservices with PostgreSQL or MongoDB
Implementing clean architecture for complex backend business logic