How do I add JWT authentication to this FastAPI starter project?

This starter doesn't include auth by default. You'll need to add libraries like python-jose and implement JWT logic in FastAPI dependencies, following FastAPI's security documentation for OAuth2 or JWT examples.

FastAPI starter with SQLModel vs Django REST framework for new APIs?

FastAPI with SQLModel offers better performance and async support, ideal for modern Python APIs, while Django REST framework has a batteries-included approach with admin panels. Choose based on need for speed versus built-in features.

Can I use this starter for a microservices architecture?

Yes, but it's more suited for monolithic APIs due to its integrated database focus. For microservices, you might need to adapt the Docker setup and decouple services, adding communication layers like message queues.

How to change the database from PostgreSQL to SQLite in this project?

Update the database URL in environment variables to use SQLite, and adjust Alembic configurations accordingly. Note that SQLModel supports SQLite, but some PostgreSQL-specific features may not work.

What are the deployment options for this Dockerized FastAPI app?

With Docker, you can deploy to cloud platforms like AWS ECS, Google Cloud Run, or Heroku. The project includes Docker-compose for local development, which can be adapted for production using orchestration tools like Kubernetes.

Is this starter suitable for learning FastAPI from scratch?

It's good for learning with a real-world setup, but beginners might find the pre-configured tools overwhelming. Starting with official FastAPI tutorials first is recommended to grasp basics before diving into this starter.

Open-Awesome

fastapi-starter-project

Python

A production-ready FastAPI starter template with SQLModel, Alembic, and Docker for rapid backend development.

GitHub

210 stars21 forks0 contributors

What is fastapi-starter-project?

FastAPI Starter Project is a pre-configured template for building web APIs using FastAPI, SQLModel, and Alembic. It provides a complete foundation with database integration, migration tools, and Docker support, solving the problem of repetitive project setup for backend developers.

Target Audience

Python developers and teams building RESTful APIs or web services who want a production-ready starting point with modern tools and best practices.

Value Proposition

Developers choose this starter project because it eliminates boilerplate setup, includes essential database and migration tools out of the box, and follows production-ready patterns with Docker support for consistent development and deployment.

Overview

FastAPI Starter Project with SQLModel and Alembic

Use Cases

Best For

Quickly starting new FastAPI projects with database integration
Teams needing consistent project structure across multiple services
Learning FastAPI with SQLModel and Alembic in a real-world setup
Building prototype APIs with production-ready foundations
Projects requiring containerized deployment with Docker
Developers who want automatic API documentation generation

Not Ideal For

Projects that do not require a relational database or prefer NoSQL solutions like MongoDB
Teams with existing complex authentication systems or strict security compliance needs
Developers who prefer minimalistic setups without Docker for local development
Applications needing real-time features like WebSockets configured out of the box

Pros & Cons

Pros

Integrated Database Tools

Combines SQLModel for type-safe ORM operations and Alembic for autogenerated migrations, as shown in the db/models and migration examples, reducing boilerplate code.

Containerized Development

Includes Docker and Docker-compose configuration for consistent environments, with commands for running, logging, and testing in containers, streamlining deployment.

Automatic API Documentation

Leverages FastAPI's built-in OpenAPI support to provide interactive docs at /api/docs without additional setup, enhancing developer experience.

Testing Ready Setup

Pre-configured pytest environment allows immediate test-driven development, as evidenced by the straightforward test running commands in the README.

Cons

No Built-in Authentication

The starter lacks any authentication or authorization mechanisms, requiring manual implementation for secure endpoints, which adds overhead for production use.

Opinionated Stack Lock-in

Heavily relies on SQLModel and Alembic, making it difficult to switch to alternative ORMs or migration tools without significant refactoring, limiting flexibility.

Sparse Documentation

README provides basic setup instructions but lacks detailed guides on extending models, adding services, or customizing architecture, which may hinder onboarding.

Frequently Asked Questions

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