fust-orm 🚀
An experimental, blazingly fast, and intuitive asynchronous ORM for Python, written in Rust.
⚠️ Disclaimer
fust-orm is currently in an early, experimental stage. The API is subject to change, and it is not yet recommended for production use.
Core Ideas
The goal of fust-orm is to provide a Python ORM that combines two key ideas:
- Performance: By leveraging Rust and the excellent
sqlxlibrary,fust-ormaims to deliver performance that significantly surpasses traditional Python ORMs. - Simplicity: The syntax is designed to be clean, expressive, and feel like native Python, allowing you to focus on your application logic instead of wrestling with the ORM.
Features
- Rust-Powered Core: All logic is implemented in Rust for maximum speed.
- Intuitive Query Building: Use standard Python comparison operators (
==,>,!=, etc.) to buildWHEREclauses. - Asynchronous from the Ground Up: Built with
async/awaitin mind. - Type-Safe Models: Define your models using standard Python type annotations.
- Raw SQL Fallback: Drop down to raw SQL for complex queries whenever you need to.
- Multi-Database Support: Thanks to
sqlx, it's designed to work with various databases like SQLite, PostgreSQL, and MySQL.
Installation
pip install fust-orm
Quickstart
Here is a brief overview of how to define models and build queries with fust-orm.
1. Define Your Models
Create a class that inherits from Model. The table name is either inferred from the class name (converted to snake_case) or explicitly set with __table_name__. Define columns using ColumnField and standard Python type hints.
from fust_orm import Model, ColumnField
class User(Model):
__table_name__ = "users"
id: ColumnField[int]
name: ColumnField[str]
age: ColumnField[int]
is_active: ColumnField[bool]
2. Connect to the Database
Create an asynchronous connection to your database. fust-orm uses a connection URL to determine the driver.
import asyncio
from fust_orm import Database
async def main():
# Connect to an in-memory SQLite database
db = await Database.connect("sqlite::memory:")
# ... execute queries
3. Build and Execute Queries
The select() function is the main entry point for building queries.
Selecting Specific Columns
Pass ColumnField attributes to select() to choose which columns to retrieve.
from fust_orm import select
# SELECT name, age FROM users;
query = select(User.name, User.age)
results = await db.execute(query)
# [{'name': 'Alice', 'age': 30}, ...]
Filtering Data with WHERE clauses
Use standard Python operators on ColumnField attributes to create WHERE conditions.
# SELECT name FROM users WHERE age > 25;
query = select(User.name, User.age > 25)
users = await db.execute(query)
Combining Selection and Filtering with +
You can use a unary + on a condition to automatically include that column in the SELECT statement. This avoids repetition.
# SELECT age FROM users WHERE age < 35;
query = select(+(User.age < 35))
results = await db.execute(query)
# [{'age': 30}, {'age': 25}]
This can be combined with other columns:
# SELECT name, age FROM users WHERE age < 35;
query = select(User.name, +(User.age < 35))
Using IN and LIKE
More complex conditions are also available as methods.
# SELECT name FROM users WHERE id IN (1, 3);
query = select(User.name, User.id.in_([1, 3]))
# SELECT name FROM users WHERE surname LIKE 'A%';
query = select(User.name, User.surname.like("A%"))
Raw SQL
For complex scenarios, you can always fall back to raw SQL with safe, parameterized queries.
query = select("SELECT name FROM users WHERE age > ? AND is_active = ?", 30, True)
active_users = await db.execute(query)
Roadmap
fust-orm is actively developing towards a more complete and powerful feature set. The goal is to enable highly expressive queries like this:
# Dream Syntax
results = await db.execute(
select(
User.name,
+(User.age < 35),
Users.posts(Post.id, Post.likes >= 0), # Eager-load related posts
limit=50,
offset=100
)
)
Here are the features that are planned to be implemented next:
- Query Modifiers: limit, offset, and order_by.
- Data Manipulation: insert and update operations.
- Aggregations: group_by and having clauses.
- Column Metadata: Define primary_key, foreign_key, index, etc., directly in ColumnField.
- Model Relationships: Define relations (e.g., one-to-many, many-to-many) directly on models.
- Automatic Joins: A resolver that uses relationship info to automatically perform JOIN or SELECT IN queries.
- Migration Tool: A simple, powerful tool for automatically creating and managing database migrations.
License
This project is licensed under the MIT License.
Metadata
Release files for fust-orm 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| fust_orm-0.1.1.tar.gz | 59.8 kB | With provenance | Details |
Built distributions (wheels)
Total release size: 394.8 MB
Release files / fust_orm-0.1.1.tar.gz
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| Download URL | fust_orm-0.1.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl |
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| Size | 4.2 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-32 |
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Transparency logRelease files / fust_orm-0.1.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
| Download URL | fust_orm-0.1.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl |
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| Size | 3.7 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ ARMv7l |
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