sqlalchemy-mixins VS SQLAlchemy

SQLAlchemy SerializerMixin

it is more low level, but there are several projects that build Django (active record style) abstraction on top of it. https://github.com/absent1706/sqlalchemy-mixins

6. SQLAlchemy - Database Interaction using ORM

Object-Relational Mapping frameworks like Hibernate (Java), SQLAlchemy (Python), and Sequelize (Node.js) typically use parameterized queries by default and abstract direct SQL interaction. These frameworks help eliminate common developer errors that might otherwise introduce vulnerabilities.

SQLAlchemy [0] is still arguably the most featureful and robust ORM in Python (although it is much more than an ORM). It is likely the best default choice unless you're already working within a framework that offers its own ORM.

[0]: https://www.sqlalchemy.org

SQLAlchemy Documentation. "SQLAlchemy ORM." https://www.sqlalchemy.org/.

Let’s start with a simple example of a data pipeline that reads data from a CSV file, processes it, and stores the result in a database. We’ll use Pandas for data manipulation and SQLAlchemy to interact with an SQL database.

We will define our database schema using SQLAlchemy. First, we will store a subset of the information in a single table called documents. This is to test that our database configuration is correct and avoid storing nested data now. The code is fairly simple to create a SQLite3 database with SQLAlchemy:

We've put a special focus on making sure Drizzle, Prisma, SQLAlchemy and Django ORMs work well with our platform. Common administrative and data exploration tools like DataGrip, pgAdmin and TablePlus have been put through the wringer to resolve any compatibility hiccups seen over the past few months.

SQLAlchemy: Python SQL toolkit and ORM (Object Relational Mapper). Use it to work with databases with Python objects.

We'll use the Flask-SQLAlchemy package to manage the database. This package provides SQLAlchemy support to Flask projects. That includes the Python SQL toolkit and the ORM.