Question 1

How to set up Edgy with FastAPI?

Accepted Answer

Integrate Edgy by creating a Database instance and Registry, then use models in FastAPI endpoints; the README shows an example with Ravyn, but it's similar for FastAPI using async/await and Pydantic models directly.

Question 2

Edgy vs SQLAlchemy ORM: which is better?

Accepted Answer

Edgy is better if you want Django-like ease with built-in Pydantic validation and ASGI focus, while SQLAlchemy ORM offers more mature features, flexibility, and a larger ecosystem for complex SQL operations.

Question 3

Does Edgy work with synchronous frameworks like Flask?

Accepted Answer

Edgy is designed for ASGI frameworks and uses async/await, so using it with synchronous frameworks like Flask requires additional async adapters or might not be straightforward, limiting compatibility.

Question 4

How to handle migrations in Edgy?

Accepted Answer

Edgy uses an integrated migration system powered by Alembic, simplifying schema changes; you can run commands via Edgy's CLI, but it still relies on Alembic under the hood for version control.

Question 5

What databases does Edgy support?

Accepted Answer

Edgy supports PostgreSQL, MySQL/MariaDB, SQLite, and MSSQL via specific drivers, as shown in the Installation section, but you need to install the corresponding extras (e.g., edgy[postgres]).

Question 6

Is Edgy production-ready for high-traffic apps?

Accepted Answer

Edgy is built on SQLAlchemy core for performance and has CI badges, but its newer status and Pydantic overhead might require benchmarking for critical high-traffic applications compared to more established ORMs.

Edgy ORM

What is Edgy ORM?

Overview

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Pros & Cons

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Frequently Asked Questions