Feature rich robust FastAPI template.
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Updated
Dec 6, 2023 - Python
Feature rich robust FastAPI template.
FastAPI boilerplate for real world production
This is a project template which uses FastAPI, Pydantic 2.0, Alembic and async SQLModel as ORM. It shows a complete async CRUD using authentication and role base access control.
Developer productivity tool for making high-quality FastAPI production-ready APIs.
A FastAPI based low code starter/boilerplate: SQLAlchemy 2.0 (async), Postgres, React-Admin, pytest and cypress
Cookiecutter template for FastAPI projects using: Machine Learning, Poetry, Github Actions and Pytests
An extendable async API using FastAPI, Pydantic V2, SQLAlchemy 2.0, PostgreSQL and Redis.
minimal-fastapi-postgres-template based on official template but rewritten
Full stack, modern web application generator. Using FastAPI, MongoDB as database, Docker, automatic HTTPS and more.
A scalable and production ready boilerplate for FastAPI
FastAPI - Tortoise ORM - Celery - Docker template
Dockerized FastAPI boiler plate similar to Django code structure with views, serializers(pydantic) and model( Sqlalchemy ORM) with dockerized database(PostgresSQL) and PgAdmin. 🚀
Python clean architecture and usecase implementation with fastapi and pydiator-core
A FastAPI project template using Make, Docker Compose and Github Actions. This includes a SQLAlchemy integration and an integration test setup.
A minimal FARM stack boilerplate / template project to get you started with a Python FastAPI backend, React frontend, MongoDB, and JWT user authentication (via FastAPIUsers).
This example shows how to use FastApi on Vercel with Serverless Functions using the Python Runtime
CLI to create Fastapi projects easily.
A FARM stack boilerplate with docker integration. This is a starting template for projects using a Python FastAPI server, MongoDB storage and React frontend, with docker setup for development and deployment
Boilerplate code for quick docker implementation of REST API with JWT Authentication using FastAPI, PostgreSQL and PgAdmin ⭐
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