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Hermes: A high-performance Python ORM with advanced support for migrations, relationships, query building, and caching. Ideal for modern database-driven applications with CLI integration and SQLite async compatibility.

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Hermes ORM

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Hermes ORM is a modern Python ORM designed for simplicity, flexibility, and performance. With support for relational mappings, migrations, and advanced querying, Hermes ORM is tailored for developers who need a powerful yet intuitive tool for managing database operations in their applications.


🚀 Key Features

  • Dynamic Model Mapping: Automatically map Python classes to database tables with field validation and relational support.
  • Advanced Query Builder: Intuitive querying with dynamic SELECT, INSERT, UPDATE, and DELETE statements.
  • Rich Relationships: Support for One-to-One, One-to-Many, Many-to-Many, and polymorphic Morph relationships.
  • Migrations Manager: Create, apply, and rollback migrations seamlessly.
  • Asynchronous & Synchronous Database Operations: Flexible execution modes to match your application’s needs.
  • Caching Mechanisms: Built-in query caching for optimized performance.
  • Debugging & Logging: Configurable debug and logging options for streamlined troubleshooting.
  • Open for Personal & Commercial Use: Use Hermes ORM freely in personal and commercial projects (not for resale as a standalone product).

🛠️ Getting Started

Step 1: Install Hermes ORM

Install Hermes ORM via pip:

pip install hermes-orm

Step 2: Define Your Models

Define models that represent your database structure:

from altxria.hermes.model import BaseModel
from altxria.hermes.fields import IntegerField, StringField, ForeignKeyField

class User(BaseModel):
    id = IntegerField(primary_key=True)
    name = StringField(max_length=255, nullable=False)

class Post(BaseModel):
    id = IntegerField(primary_key=True)
    user_id = ForeignKeyField("User", nullable=False)
    content = StringField(nullable=False)

Step 3: Run Migrations

Use the CLI to generate and apply migrations:

hermes make_migration create_users_table create
hermes migrate

Step 4: Query the Database

Perform operations on your models:

# Create a user
user = User(name="Alice")
user.save(db_connection)

# Fetch all posts
posts = Post.all(db_connection)

# Add a post for a user
post = Post(user_id=user.id, content="Hello, Hermes!")
post.save(db_connection)

🧩 Supported Relationships

  • One-to-One: Easily map one-to-one relationships with OneToOne fields.
  • One-to-Many: Establish hierarchical relationships with OneToMany.
  • Many-to-Many: Simplify complex mappings with ManyToMany pivot tables.
  • Polymorphic: Use MorphOne and MorphMany for flexible, type-based relations.

Each relationship is implemented with robust utilities for querying and manipulation.


📦 Latest Version

  • Version: 0.1.7
  • Release Date: November 28, 2024
  • Latest Release Date: November 29, 2024

🔍 Project Status

Closed Issues Enhancement Issues Bug Issues

Hermes ORM is under active development, with new features and improvements added regularly. Contributions and feedback are welcome!


📜 License and Usage

Hermes ORM is free to use for both personal and commercial projects. However, Hermes ORM itself cannot be resold or distributed as a standalone product.


🤝 Contributors

Developed and maintained by Altxria Inc. with contributions from a growing community of developers.

Contributors

See All Contributors


❤️ Support Hermes ORM

If you find Hermes ORM useful, consider supporting its development and ongoing maintenance:

Sponsor Hermes ORM

About

Hermes: A high-performance Python ORM with advanced support for migrations, relationships, query building, and caching. Ideal for modern database-driven applications with CLI integration and SQLite async compatibility.

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