DBWarden is a lightweight migration tool for Python/SQLAlchemy that focuses on simplicity. Unlike heavier tools, it auto-detects models and generates raw SQL migrations directly from them, minimizing configuration. It provides clear CLI utilities for diffing schemas, inspecting the database, and tracking migration state. Its emphasis on readable SQL, safety checks, and minimal setup makes it a straightforward, developer-friendly alternative to complex migration frameworks.

MongoDB Atlas — Build AI apps, not pipelines. Unified data on Atlas.

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Hi Product Hunt! I built DBWarden to fix problems I usually hit with database migrations in Python projects. Most migration tools add heavy configuration and complex workflows. DBWarden takes a different path. Key ideas: • Auto detect SQLAlchemy models from a models directory • Generate raw SQL migrations so you read every change • Simple CLI for diff, migrate, rollback, history • Minimal configuration through a small warden.toml file • Safety checks to reduce risk of damaging the database Typical flow: 1. Write SQLAlchemy models 2. Run dbwarden make-migrations 3. Review the SQL (or not) 4. Run dbwarden migrate DBWarden works with PostgreSQL, SQLite, and MySQL. The project sits in an experimental stage. I welcome feedback, issues, and ideas from developers who work with SQLAlchemy and database migrations every day.

MongoDB Atlas — Build AI apps, not pipelines. Unified data on Atlas.

Build AI apps, not pipelines. Unified data on Atlas.

DBWarden

DBWarden - A database migration tool for SQLAlchemy projects

DBWarden - A database migration tool for SQLAlchemy projects