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.
An extendable async API using FastAPI, Pydantic V2, SQLAlchemy 2.0, PostgreSQL and Redis.
Developer productivity tool for making high-quality FastAPI production-ready APIs.
#前端开发#Full stack, modern web application generator. Using FastAPI, MongoDB as database, Docker, automatic HTTPS and more.
#大语言模型#Cookiecutter template for FastAPI projects using: Machine Learning, uv, Github Actions and Pytests
minimal-fastapi-postgres-template based on official template but rewritten
A FastAPI based low code starter/boilerplate: SQLAlchemy 2.0 (async), Postgres, React-Admin, pytest and cypress
A scalable and production ready boilerplate for FastAPI
FastAPI - Tortoise ORM - Celery - Docker template
翻译 - FastAPI - Tortoise ORM - Celery - Docker 模板
Dockerized FastAPI boiler plate similar to Django code structure with views, serializers(pydantic) and model( Sqlalchemy ORM) with dockerized database(PostgresSQL) and PgAdmin. 🚀
An extendable async API using FastAPI, SQLModel, PostgreSQL and Redis.
Python clean architecture and usecase implementation with fastapi and pydiator-core
A FastAPI and SQLAlchemy project template with Docker and GitHub Actions.
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 pro...
This example shows how to use FastApi on Vercel with Serverless Functions using the Python Runtime
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).
CLI to create Fastapi projects easily.
High-performance FastAPI backend boilerplate for real-world production, with mongo and pytest. Suitable for microservices.