supersql 2026.4.2

Thin wrapper on top of SQL that enables you write SQL code in python easily

SuperSQL: SQL for Humans

SuperSQL is a powerful, pythonic SQL query builder that lets you write SQL using native Python objects.

It is NOT an ORM. There are no magic .save() methods, no hidden lazy-loading, and no confusing state management. You write explicit SQL queries (SELECT, INSERT, UPDATE) using a fluent Python API that looks and feels like SQL, but with the power of Python's type system and tooling.

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Features

• Pythonic Syntax: Write SQL using chainable Python methods (.SELECT().FROM().WHERE()).
• Type Safe: Define tables using Python classes for autocomplete and validation.
• Vendor Agnostic: Support for PostgreSQL, MySQL, SQLite, Oracle, and SQL Server.
• Async & Sync: Built for modern async Python (asyncio) but supports sync execution.
• No Magic: You control the exact SQL being generated.
• Pytastic Integration: Built-in schema validation using Pytastic.

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Installation

# Install with PostgreSQL support
pip install supersql[postgres]

# Or with all drivers
pip install supersql[postgres,mysql,sqlite]

Quick Start

from supersql import Query, Table

# 1. Connect to your database
query = Query("postgres", database="mydb")

# 2. Define your Table (Dynamic, no class needed!)
users = Table("users")

# 3. Write Pythonic SQL
# SELECT name, email FROM users WHERE age > 25
results = await query.SELECT(
    users.name, users.email
).FROM(
    users
).WHERE(
    users.age > 25
).run()

Why SuperSQL?

SuperSQL gives you the power of a Query Builder without the overhead of an ORM.

1. Zero Boilerplate: No need to define classes or duplicate your schema in Python.
2. Explicit Control: You control the exact SQL execution.
3. Dynamic: Works great with ad-hoc queries or evolving schemas.

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Read the Documentation