Peewee ORM: Lightweight Python Database Library

Introduction

Working with a database is an essential part of any modern application. Python offers many ORM libraries that make it easy to interact with SQL databases. One of the simplest and most compact is Peewee. It's perfect for small projects, scripts, and even microservices.

Peewee – a lightweight ORM that provides everything you need to define models, execute queries, handle transactions, and integrate with web frameworks — all while being easy to learn and implement.

How ORMs Work and Where Peewee Fits In

What is an ORM?

ORM (Object-Relational Mapping) is a technology that lets you work with databases using programming language objects. Instead of writing SQL queries, you create and interact with Python classes, and the ORM translates that into SQL.

ORMs provide an abstraction layer over SQL, making code more readable and less error-prone. Key benefits of using an ORM include:

• Automatic SQL query generation
• Protection against SQL injection
• Portability across different database systems
• Convenient Python object manipulation

When to Choose Peewee

Peewee is an excellent choice in these scenarios:

• When you need a simple, lightweight tool
• For small or experimental projects
• When fast development without complex configuration matters
• For prototyping and small web applications
• For desktop apps with a local database

Installation and Basic Setup

Installing Peewee

Install Peewee using pip:

pip install peewee

For different database systems, you'll need additional packages:

# For PostgreSQL
pip install psycopg2-binary

# For MySQL
pip install PyMySQL

# For SQLite (included with Python)
# no additional packages required

Connecting to a Database

Peewee supports several database types:

from peewee import SqliteDatabase, PostgresqlDatabase, MySQLDatabase

# SQLite
db = SqliteDatabase('my_database.db')

# PostgreSQL
db = PostgresqlDatabase('mydb', user='username', password='password', host='localhost', port=5432)

# MySQL
db = MySQLDatabase('mydb', user='username', password='password', host='localhost', port=3306)

Creating Data Models

Basic Model

from peewee import Model, CharField, DateField, IntegerField, TextField

class BaseModel(Model):
    class Meta:
        database = db

class Author(BaseModel):
    name = CharField(max_length=100)
    birth_date = DateField()
    bio = TextField(null=True)
    
class Book(BaseModel):
    title = CharField(max_length=200)
    isbn = CharField(max_length=13, unique=True)
    pages = IntegerField()
    publication_year = IntegerField()
    author = ForeignKeyField(Author, backref='books')

Creating Tables

db.connect()
db.create_tables([Author, Book])

Field Types in Peewee

Core Field Types

Also in library

Authorization and Authentication in TypeScript: A Complete Guide JSON Processing in Java: Libraries and Tools for Working with JSON Working with YAML in TypeScript: A Complete Guide to Parsing and Serialization Working with XML in C# (.NET): A Complete Guide for Beginners PHP Task Scheduler: Complete Guide to Cron Jobs and Task Scheduler

Recommendations

Working with XML in Java: DOM, SAX, StAX and JAXB — A Complete Guide

Data Validation in Java: Overview of Libraries and Tools

QR Code Generator in Go (Golang): go-qrcode Library

Flow for Kotlin: Complete Guide with Examples