FastAPI Best Practices and Conventions we used at our startup

🚀 Production-ready FastAPI boilerplate with PostgreSQL, SQLAlchemy (async), JWT authentication, Docker support, and comprehensive documentation. Perfect for building scalable APIs with modern Python practices.

FastAPI Starter: A simple and intuitive example repository showcasing basic functionality and best practices for building web APIs with FastAPI. Use this as a template or reference for accelerating your FastAPI projects

Yet another opinionated fastapi-start-kit with best practice

A demonstration of best practices for a large FastAPI project

A targeted resource for mastering FastAPI, featuring practice problems, code examples, and interview-focused concepts for building high-performance APIs in Python. Covers asynchronous programming, endpoint creation, and data validation for technical interview success.

A production-ready FastAPI starter kit designed to showcase best practices through a modular, asynchronous blog application, featuring JWT authentication, PostgreSQL integration, and Dockerized deployment. Ideal for quickly setting up a high-performance, maintainable backend.

A lightweight caching library which leverages FastAPI's middleware functionality and follows best practices of cache-control to easily speed up your large requests.

Clean Architecture Practice with Pydantic-Resolve and FastAPI-Voyager

This is the sample application for the DevOps Capstone Project on Learn to Cloud. It shows your favorite TV Shows or movies, the front-end is in React and the API is written in Python using FastAPI. The goal is to get hands-on with DevOps practices like Containerization, CI/CD, IaC and monitoring.

This project demonstrates deploying a secure, scalable Generative AI (GenAI) solution on Azure using a Retrieval-Augmented Generation (RAG) architecture and Azure best practices. Leveraging CosmosDB, Azure OpenAI, and a React + Python FastAPI framework, it ensures efficient data retrieval, security, and an intuitive user experience.

Adaptive AI-powered typing practice system that analyzes repeated user mistakes and generates personalized corrective tasks using FastAPI.

🎥 Full-stack YouTube video downloader with real-time progress tracking, quality selection (144p-4K), and file size estimation. Built with FastAPI (Python) and Next.js (TypeScript). Educational project demonstrating modern web development practices.

A scalable FastAPI project template with async SQLAlchemy, PostgreSQL, and repository pattern implementation. Features JWT authentication, comprehensive error handling, and follows best practices for building production-ready APIs. Includes modular architecture, dependency injection, Pydantic validation, and Alembic migrations.

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This project is a collection of Python-based REST APIs built using FastAPI and other relevant Python libraries. The goal of this repository is to practice and experiment with creating, testing, and deploying APIs, with a focus on building real-world, scalable web services.

Repo for my youtube tutorial

fastapi practice project

for practicing FastAPI, with me, others are join this project

It is divided into branches. click "branches"

Practice backend project for a social multiplayer game using fastAPI and MongoDB

This is FastAPI practice

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A hands-on project template to practice Kubernetes fundamentals by deploying a small full-stack application (FastAPI, React, PostgreSQL) in a KinD cluster.

A production-ready FastAPI template with modern Python development practices, database integration, background tasks, and comprehensive tooling.

A production-ready FastAPI-based backend API framework that follows best practices for building high-performance web APIs.

A project template to practice Kubernetes and Argo CD by deploying a full-stack app (FastAPI, React, PostgreSQL) in a KinD cluster using GitOps. Includes AWS and GitHub Actions integrations.

BrainBot is an AI learning assistant utilizing the capabilities of NLP and RAG which allows students to interact and chat with different files, webpages, and images. It has been built using state-of-the-art technologies and practices including LangChain, LLMs, FastAPI, Docker, and LangSmith.

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FastApi最佳实践