admin VS databases

I know about https://www.jhipster.tech/ and https://github.com/api-platform/admin but they are all a little bit different.

I think the idea is that FastAPI does one thing and does it well. You can mix in other parts of what you need, in the same way FastAPI itself leans on great projects.

SQLAlchemy + Alembic are standard because they're robust and well-know, but there are alternatives (particularly with async)[0][1]

For admin you can FE it with something like react-admin which has pluggable data providers, or api-admin[3]

[0] https://github.com/tortoise/tortoise-orm

[1] https://ponyorm.org/

[2] https://github.com/api-platform/admin

In the code ,we are using SQLAlchemy as our ORM(Object Relational Mapper) and Databases as our query builder.

MySQL is a powerful and popular database, and it's well-suited for use with Python. In the following section, we are going through how to set up a connection to a MySQL database in an asynchronous manner using the create_asynchrouns_engine function from SQLAlchemy. We'll also use the databases package and the aiomysql extra dependency. We'll also adapt the SQLAlchemy declarative approach to defining our users' table.

To take an example: I switched a service over from doing synchronous (plain def everywhere) to async (async def and await everywhere, with async DB, and saw… basically no performance improvement.

No, as I said, async db connection is the key. You can do that with SQLAlchemy using the databases library, but since you are not using SQLAlchemy it makes more sense to use the underlying db driver, aiomysql, directly.

Using the encode/databases library and forgoing SQLAlchemy's ORM

ormar is a mini async ORM for python. It uses sqlalchemy for building queries, databases for asynchronous execution of queries, and pydantic for data validation. You can create an ormar model and generate pydantic models from it.

works but there seems to be a difference between the regular slqalchemy syntax from what https://github.com/encode/databases/ is using in the docs?