In this article we want to learn about Python ORM Frameworks, Python is a powerful and popular programming language, and it is mostly used in web development, data analysis and scientific computing. Python is also a popular choice for web developers, because Python has the ability to interact with databases through ORM (Object-Relational Mapping) frameworks. ORM frameworks allow developers to interact with databases in an object oriented way.
In this article we want to learn about some of the most popular Python ORM frameworks.
Django ORM
Django is popular web framework for building web applications, and it comes with an ORM builtin. Django ORM is powerful and flexible tool for working with databases, because it supports different database backends such as MySQL, PostgreSQL, SQLite and Oracle. Django ORM provides high level API for creating, updating and querying database records, also it supports advanced features such as model relationships, transactions and data migrations.
SQLAlchemy
SQLAlchemy is popular Python ORM that provides high level API for interacting with databases. SQLAlchemy supports different database backends including MySQL, PostgreSQL, SQLite, Oracle and Microsoft SQL Server. SQLAlchemy ORM provides a simple interface for creating, querying and manipulating database records, also it supports advanced features such as transactions, data migrations and relationship mapping.
Python Peewee
Peewee is lightweight and easy Python ORM that supports SQLite, MySQL and PostgreSQL. Peewee ORM provides simple interface for creating, querying and manipulating database records, also it supports advanced features such as transactions, data migrations and model relationships.
Pony ORM
Pony ORM is relatively new Python ORM that provides high level API for interacting with databases. Pony ORM supports different database backends, including SQLite, MySQL, PostgreSQL and Oracle. Pony ORM API is designed to be simple, also it supports advanced features such as transactions, data migrations and relationship mapping.
