full-stack-fastapi-postgresql
docker-celery-flower
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| full-stack-fastapi-postgresql | docker-celery-flower | |
|---|---|---|
| 23 | 2 | |
| 12,050 | 11 | |
| - | - | |
| 0.0 | 0.0 | |
| 16 days ago | almost 2 years ago | |
| Python | Python | |
| MIT License | - |
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full-stack-fastapi-postgresql
- Is there any open source project that uses FasAPI?
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How to build a scalable project file structure for a beginner.
I've just recently switched to a structure that follows Netflix's Dispatch application after starting with https://github.com/tiangolo/full-stack-fastapi-postgresql and it feels way better and organized.
- ORM for FastAPI+PostgreSQL, Tortoise or Sqlalchemy? what would you choose and why?
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FastAPI Best Practices
I would encourage you to take a look at this repo: https://github.com/tiangolo/full-stack-fastapi-postgresql This is a boilerplate of an application made with fastapi, prepared by the creator of the fastapi himself. You can even set it up yourself locally and have a look how it’s organised. I know it has a lot of different services included, but I find the fastapi part itself to be well thought. Inside the api directory you can notice another folder named api_v1, so you can have multiple versions of your API routes when needed, with the general code in other places that is more generic and can be reused in all your different API versions. The schemas are separated from the models and models itself have different classes depending on what you would actually like to do with the data. The migrations are managed with alembic based on schemas rather than models itself. The settings are a python class that implicitly reads the .env file in your project’s directory. And many, many other interesting patterns to explore. Too much to write in one comment to be honest.
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Is there public repo showing production level code of REST APIs using FastAPI
Have a look at Full Stack FastAPI and PostgreSQL - Base Project Generator
While that is a good base, it can be a bit outdated in places. I would suggest checking out this issue on the topic
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I wrote an alternative for the official FastAPI full stack project generator (more info in comment)
Hi, earlier this year I built a project using the official FastAPI full stack example. While working on my project, I realised that the FastAPI ecosystem has matured a lot since that template was created and many things that I ended up writing code for was already solved by others. And I didn't want to keep reinventing the wheel.
- Suggest a learning Docker project
- Best method to use docker in dev, test, and production
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FastAPI framework, high perf, easy to learn, fast to code, ready for production
I'm glad you're liking FastAPI!
You could check the official project generator, it includes a simple Vue.js front end: https://github.com/tiangolo/full-stack-fastapi-postgresql
Although I'm currently using React with TypeScript and hooks, and it's a great development experience. I plan on adding it to the project generator later.
docker-celery-flower
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What are some alternatives?
fastapi-react - 🚀 Cookiecutter Template for FastAPI + React Projects. Using PostgreSQL, SQLAlchemy, and Docker
fastapi-starter - A FastAPI based low code starter/boilerplate: SQLAlchemy 2.0 (async), Postgres, React-Admin, pytest and cypress
django-celery-docker-example - Example Docker setup for a Django app behind an Nginx proxy with Celery workers
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning. Optionally with Alpine Linux.
cookiecutter-djangopackage - A cookiecutter template for creating reusable Django packages quickly.
fastapi-users - Ready-to-use and customizable users management for FastAPI
fastapi-azure-auth - Easy and secure implementation of Azure AD for your FastAPI APIs 🔒 B2C, single- and multi-tenant support.
cookiecutter-django-vue-graphql-aws - A highly opinionated Cookiecutter template that fuses together Django, Vue.js, GraphQL, and AWS into one full-stack web application.
pydantic-to-typescript - CLI Tool for converting pydantic models into typescript definitions
docker-traefik-cloudflare-companion - Automatically Create CNAME records for containers served by Traefik