data · orm

SQLAlchemy

3 production projects and 1 rule set built with SQLAlchemy.

Production projects

Self-Hosted AI Interface & Agent Hub AI-agent Open WebUI A SvelteKit-plus-FastAPI split lets one Docker image serve the UI and API together, while SQLAlchemy over SQLite or PostgreSQL and a swappable vector-store layer let self-hosters scale from a laptop to a multi-worker Redis-backed deployment without changing code.
AI Application Framework Hybrid Taipy Taipy enables Python data scientists to build full-stack web applications and data DAG pipelines using pure Python bindings.
Data Pipeline Engine Hybrid Mage AI A Tornado Python server handles orchestration over a SQLAlchemy and Alembic-modeled Postgres database, while the pipeline editor ships as an independent Next.js frontend, and Spark or dbt support is layered in through opt-in Docker images and bundled adapters.

Often used with SQLAlchemy

Every rule ships as files

AGENTS.md rules and agent skills with SQLAlchemy

fastapi-python-postgres/AGENTS.mdFastAPI + Python + PostgreSQL (Async SQLAlchemy & Pydantic v2)Production guidelines for FastAPI, Pydantic v2 validation, Async SQLAlchemy 2.0 (asyncpg), Alembic migrations, and PostgreSQL/Redis. intermediate

Questions about SQLAlchemy

How many production projects use SQLAlchemy?

3 verified production projects in the STACK IT FAST directory use SQLAlchemy, each with a full architecture breakdown.

What is SQLAlchemy most often used with?

Across projects in the directory, SQLAlchemy is most commonly paired with Python, TypeScript, PostgreSQL.

Is there an AGENTS.md rule or Claude Code skill for SQLAlchemy?

Yes — FastAPI + Python + PostgreSQL (Async SQLAlchemy & Pydantic v2) includes a full AGENTS.md, CLAUDE.md, Cursor .mdc rule set and an installable SKILL.md covering SQLAlchemy.