Fitz ORM promises single-type definition, auto migrations, and 8x faster RPS than SQLAlchemy

A new Python-oriented ORM called Fitz aims to reduce the complexity of building typed database models by consolidating what traditionally requires three separate files — SQLAlchemy models, Pydantic schemas, and Alembic migrations — into a single type definition. In a standard FastAPI setup, developers must maintain parallel model definitions and manually configure Alembic to handle schema migrations, which can lead to inconsistencies. Fitz uses a decorator-based syntax where one type declaration serves as the single source of truth for database schema, API validation, JSON deserialization, and OpenAPI spec generation. The project claims benchmark results showing 8 times more requests per second and 5 times lower memory usage compared to SQLAlchemy under reproducible test conditions. The tool is positioned as a developer-experience improvement for teams building modern async APIs who want to reduce boilerplate and synchronization overhead across data layers.