ferrum-orm 0.1.1

Next-generation async ORM for Python with a Rust-powered core

Ferrum

A next-generation async ORM for Python. Rust-powered engine. Pydantic-native models. Django-inspired developer experience.

Ferrum is an async-first ORM designed for modern Python applications.

Built around a Rust-powered core and a Python-native API, Ferrum combines the ergonomics of Django's ORM, the type safety of Pydantic, and the performance of Rust.

Why Ferrum?

Existing Python ORMs often force developers to choose between:

• Developer experience
• Async support
• Type safety
• Performance

Ferrum aims to provide all four.

Goals

• Native async from day one
• Pydantic-first models
• Django-inspired ORM experience
• Rust-powered query engine
• PostgreSQL-first architecture (MySQL and SQLite via optional extras)
• Type-safe query construction
• Automatic migrations
• High-performance result hydration
• Production-ready observability

---

Quick Example

from ferrum import Model


class User(Model):
    id: int
    email: str
    is_active: bool = True


user = await User.objects.create(
    conn,
    email="[e-mail]",
)

users = await (
    User.objects
    .filter(is_active=True)
    .order_by("-id")
    .limit(10)
    .all(conn)
)

---

Features

Async First

No synchronous compatibility layer.

Ferrum is designed around modern async Python applications.

users = await User.objects.all(conn)

Pydantic Native

Models are built directly on top of Pydantic.

class User(Model):
    id: int
    email: str

No duplicate schema definitions.

Django-Inspired API

Familiar query interface.

users = await (
    User.objects
    .filter(email__contains="@gmail.com")
    .order_by("-created_at")
    .all(conn)
)

Rust-Powered Core

Performance-critical components are implemented in Rust:

• Query compilation
• SQL generation
• Result decoding
• Schema analysis
• Migration planning

This allows Ferrum to maintain a Pythonic API without sacrificing performance.

Architecture

┌──────────────────────────┐
│      Python API          │
│  Models / QuerySets      │
└────────────┬─────────────┘
             │
             ▼
┌──────────────────────────┐
│      Ferrum Core         │
│      (Rust Engine)       │
├──────────────────────────┤
│ Query Compiler           │
│ SQL AST                  │
│ Result Decoder           │
│ Migration Planner        │
└────────────┬─────────────┘
             │
             ▼
┌──────────────────────────┐
│       PostgreSQL         │
└──────────────────────────┘

Roadmap

v0.1

• PostgreSQL support
• Basic CRUD operations
• Async query execution
• Pydantic models
• Query builder
• Type-safe filters

v0.2

• Relationships
• Transactions
• Query optimization
• Bulk operations

v0.3

• Migrations
• Schema diff engine
• CLI tools

v1.0

• Production-ready stability
• Advanced relationships
• Performance benchmarking
• Full documentation

Project Status

Ferrum is currently in active development.

The API is not yet stable and breaking changes should be expected until the first public release.

Installation

# PostgreSQL (most common)
pip install 'ferrum-orm[pg]'

# PostgreSQL + migrations CLI
pip install 'ferrum-orm[pg,cli]'

# MySQL
pip install 'ferrum-orm[mysql]'

# SQLite + migrations CLI (testing / local dev)
pip install 'ferrum-orm[sqlite,cli]'

# Everything (all drivers + CLI + dotenv)
pip install 'ferrum-orm[all]'

# Core ORM only (no database driver — install a driver extra before connecting)
pip install ferrum-orm

Bare ferrum-orm installs Pydantic and the Rust core only. Choose a driver extra (pg, mysql, or sqlite) before calling ferrum.connect().

From source, build the native extension with maturin develop (or mise run dev).

Examples

Runnable samples live under examples/:

• examples/simple/ — async CRUD script (no web framework)
• examples/migrations/ — CLI, plan generation, apply, and forward fix-ups
• examples/fastapi_quickstart/ — FastAPI integration

Contributing

Contributions are welcome.

License

Apache License 2.0