ORMs

Write database-agnostic Python code. This pure Python DAL dynamically generates SQL/NoSQL, mapping records to dictionaries for simpler data access.

Write database queries using Python generator expressions. Translates Python syntax trees to SQL for SQLite, MySQL, PostgreSQL, and Oracle. Features an ERD editor.

Build Python applications with a simple, expressive ORM. Supports PostgreSQL, MySQL, SQLite, and CockroachDB. Features easy model definition and powerful querying.

Handle SQL data stores easily with implicit table creation, bulk loading, and transaction support. Makes database operations feel like working with JSON.

An async Python ORM supporting Postgres, MySQL, and SQLite. Built with SQLAlchemy core, Databases, and Pydantic for validation and migrations.

Access databases in Python with a powerful SQL toolkit and Object Relational Mapper. Gain full SQL flexibility and high-performance persistence patterns.

Build Node.js apps with a TypeScript ORM using Data Mapper and Unit of Work patterns. Supports SQL/NoSQL, offers schema tools, and automatic query batching.

Build Node.js applications with a flexible JavaScript ORM. Features promise/callback interfaces, transactions, eager loading, and relations for PostgreSQL, MySQL, SQLite3.

Build database-driven applications with TypeScript or JavaScript. Supports multiple SQL databases and runs across NodeJS, browser, mobile, and desktop platforms.

Manage database interactions in Node.js/TypeScript apps. Supports transactions, relations, eager/lazy loading, and multiple SQL databases like Postgres & MySQL.

Query SQL databases in Node/TS with strong typing. Features Active Record style, no code gen, powerful filters, and secure browser access via Express plugin.

Interact with databases using a type-safe ORM for Node.js/TypeScript. Features automated migrations, intuitive schema, connection pooling, and caching.