What are the main features of ormar-orm/ormar?

The main features of ormar-orm/ormar are: Async Python ORMs with Relations, Object-Relational Mapping Associations, Relational Data Modeling, Pydantic Schema Validation, Asynchronous Database Drivers, Database Lifecycle Hooks, Database Schema Migrations, Database Migration Management.

Ormar - mapper des bases de données asynchron…

Ormar est un mappeur objet-relationnel (ORM) asynchrone pour Python qui intègre la persistance de base de données avec la validation de données. Il fonctionne comme un pont entre la gestion de base de données relationnelle et les structures de données au niveau de l'application, permettant aux développeurs de définir des schémas de base de données qui servent simultanément de modèles de validation.

Le projet se distingue en utilisant des classes de validation pour appliquer l'intégrité du schéma, garantissant que tous les enregistrements persistés sont conformes aux types et structures définis. Il prend en charge les associations relationnelles complexes, y compris les relations un-à-plusieurs et plusieurs-à-plusieurs, et fournit des hooks de cycle de vie pilotés par les événements qui déclenchent une logique personnalisée lors des changements d'état des enregistrements pour maintenir la cohérence des données.

La bibliothèque couvre un large éventail de capacités de gestion de base de données, y compris l'exécution de requêtes non bloquantes et des outils de migration de schéma automatisés. Elle utilise un générateur de requêtes de bas niveau pour traduire les méthodes d'objet en opérations de base de données structurées, tout en fournissant des utilitaires en ligne de commande pour synchroniser les versions physiques de la base de données avec le code de l'application à travers différents environnements.

Features

Async Python ORMs with Relations - Provides an asynchronous object-relational mapper that integrates Pydantic validation with web framework compatibility.
Object-Relational Mapping Associations - Defines complex relational associations and foreign key constraints through declarative class-level attributes.
Relational Data Modeling - Organizes data into structured tables with defined one-to-many and many-to-many relationships.
Pydantic Schema Validation - Enforces strict schema integrity and type validation using Pydantic models for all persisted records.
Asynchronous Database Drivers - Provides non-blocking database connectivity by leveraging asynchronous drivers to maintain high concurrency.
Database Lifecycle Hooks - Triggers custom logic automatically before or after database operations to ensure data consistency.
Database Schema Migrations - Applies versioned updates to database schemas to maintain structural compatibility with application code.
Database Migration Management - Coordinates schema changes and versioning across development, testing, and production environments.
Many-to-Many Associations - Manages complex entity associations and integrity across related database tables.
Relational Database Integrations - Provides a toolkit for managing complex table associations and schema migrations in asynchronous applications.
Query Builders - Translates high-level object methods into optimized SQL statements using a low-level query builder.
Asynchronous Database Access - Performs non-blocking database operations to maintain high performance during heavy data processing.
Asynchronous Operation Execution - Enables non-blocking database operations to retrieve and modify records without stalling the main application thread.
Database Schema Migrations - Automates database schema evolution and versioning to keep physical structures synchronized with application code.
Lifecycle Event Hooks - Executes custom logic at specific stages of the database record lifecycle to maintain data integrity.
Unified Data Modeling - Defines database schemas that serve as both persistence layers and validation models for web application endpoints.

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