Feature rich robust FastAPI template.

SQLAlchemy database migrations for Flask applications using Alembic

python async orm with fastapi in mind and pydantic validation

An extendable async API using FastAPI, Pydantic V2, SQLAlchemy 2.0, PostgreSQL and Redis.

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 example of a large scale Flask application using blueprints and extensions.

Curso básico de FastAPI

Alembic importer and exporter plugin for Unity

A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.

A carefully crafted, thoroughly tested, optimized companion library for SQLAlchemy

🐍💨 FastAPI Rocket Boilerplate to build an API based in Python with its most modern technologies!

Framework-agnostic backend example with FastAPI. Implements Clean Architecture and CQRS with DDD tactical patterns, featuring DIP (low coupling), DI (no globals), contextual RBAC, and session-based auth (cookies)

Alembic autogenerate support for creation, alteration and deletion of enums

An alembic/sqlalchemy extension for migrating sql views, functions, triggers, and policies

Приложение для практического руководства по разработке бекенд-сервисов на Python (на основе вступительного испытания в Школу бэкенд‑разработки Яндекса)

Examples how to test Alembic migrations for Yandex Backend Development school & Moscow Python meetup №69

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.

Pytest plugin to test alembic migrations (with default tests) and which enables you to write tests specific to your migrations.

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