advanced-alchemy

tion - Utility base classes with audit columns, primary keys and utility functions - Built in File Object data type for storing objects: - Unified interface for various storage backends fsspec and obstore - Optional lifecycle event hooks integrated with SQLAlchemy's event system to automatically save and delete files as records are inserted, updated, or deleted. - Optimized JSON types including a custom JSON type for Oracle - Integrated support for UUID6 and UUID7 using uuid-utils - Integrated support for Nano ID using fastnanoid - Pre-configured base classes with audit columns UUID or Big Integer primary keys and a sentinel column. - Synchronous and asynchronous repositories featuring: - Common CRUD operations for SQLAlchemy models - Bulk inserts, updates, upserts, and deletes with dialect-specific enhancements - Integrated counts, pagination, sorting, filtering with LIKE, IN, and dates before and/or after. - Tested support for multiple database backends including: - SQLite via aiosqlite or sqlite - Postgres via asyncpg or psycopg3 (async or sync) - MySQL via asyncmy - Oracle via oracledb (async or sync) (tested on 18c and 23c) - Google Spanner via spanner-sqlalchemy - DuckDB via duckdb_engine - Microsoft SQL Server via pyodbc or aioodbc - CockroachDB via sqlalchemy-cockroachdb (async or sync) The framework is designed to be lightweight yet powerful, with a clean API that makes it easy to integrate into existing projects. You can find a full example using FastAPI there: https://docs.advanced-alchemy.litestar.dev/latest/usage/fram... There are custom datatypes, a service and repository (including optimized bulk operations), and native integration with Flask, FastAPI, Starlette, Litestar and Sanic. Feedback and enhancements are always welcomed! We have an active discord community, so if you don't get a response on an issue or would like to chat directly with the dev team, please reach out. The library: https://github.com/litestar-org/advanced-alchemy