Does it support database integration?

Yes, it includes patterns for integrating asynchronous databases like PostgreSQL and MongoDB into your FastAPI projects.

Is this suitable for microservices?

Absolutely, the skill is designed specifically to help create high-performance web services and microservices with a consistent architecture.

Can I use it for existing projects?

While optimized for starting new projects from scratch, the provided best practices and patterns can be applied to refactor or improve existing FastAPI codebases.

How does it help with dependency injection?

It provides templates and guidance on setting up FastAPI's native dependency injection system to manage resources and logic efficiently.

What does this FastAPI skill provide?

It provides standardized structures and implementation patterns for building scalable, production-ready Python APIs using the FastAPI framework.

FastAPI Project Templates

Name: FastAPI Project Templates
Author: rmyndharis

byrmyndharis

•

119

API 开发

Generates production-ready FastAPI project structures with async patterns and best practices for high-performance backend services.

关于

The FastAPI Templates skill streamlines the creation of robust Python backend applications by providing standardized project structures that incorporate essential production features. It guides developers through implementing asynchronous REST APIs, dependency injection, middleware, and comprehensive error handling. Whether building microservices with PostgreSQL or high-performance web applications with MongoDB, this skill ensures consistent patterns and best practices for efficient, scalable, and testable codebases from the very first line of code.

主要功能

Dependency injection and middleware configuration
119 GitHub stars
PostgreSQL and MongoDB integration guides
Async REST API implementation patterns
Comprehensive error handling and testing setups
Production-ready project scaffolding

使用场景

Implementing scalable backend APIs with async database drivers
Standardizing project structure and error handling across development teams
Bootstrapping a new high-performance microservice

关于

主要功能

Dependency injection and middleware configuration
119 GitHub stars
PostgreSQL and MongoDB integration guides
Async REST API implementation patterns
Comprehensive error handling and testing setups
Production-ready project scaffolding

使用场景

Implementing scalable backend APIs with async database drivers
Standardizing project structure and error handling across development teams
Bootstrapping a new high-performance microservice