Automattic/mongoose
Mongoose
Mongoose is an object data modeling library and framework for Node.js that maps application objects to MongoDB documents. It functions as a document mapper and schema validator, ensuring consistent data types and validation rules for records stored in MongoDB.
The project provides a system for defining structured schemas to model application data, including the ability to create hierarchical data structures through nested schema composition. It implements a middleware-based hook system that allows for the interception and modification of data states during the lifecycle of database operations.
The library manages asynchronous database connections and provides buffered command execution. It wraps the native database driver to offer high-level object modeling while maintaining the ability to bypass this layer and call the native driver directly.
Features
- Document Database Modeling - Maps application objects to MongoDB documents using structured schemas for data type and validation enforcement.
- Object Data Modelers - Provides an object data modeling framework to map application objects to MongoDB documents in Node.js.
- Schema-Based Data Models - Defines data models that enforce structural integrity and validation rules for MongoDB documents.
- MongoDB Exporters - Functions as an object data modeling library that maps application objects to MongoDB documents using structured schemas.
- Database Connection Managers - Manages database connections and provides a buffer for commands until the connection becomes active.
- MongoDB Schema Modeling - Defines structured schemas to ensure consistent data types and validation for documents stored in MongoDB.
- Nested Schema Mapping - Supports embedding schemas within other schemas to create hierarchical data structures with shared validation.
- Object-Document Mappers - Maps database documents to objects using structured schemas to ensure consistent data types and validation.
- Lifecycle Interceptors - Enables changing method arguments or document states during the lifecycle of a database operation via middleware.
- Schema Validators - Ensures consistent data types and validation rules for all records stored in MongoDB.
- Middleware Systems - Provides a middleware-based hook system to intercept and execute custom logic during the lifecycle of database operations.
- Node.js Database Integration - Connects asynchronous JavaScript applications to MongoDB with managed connections and buffered command execution.
- Command Buffering - Provides a local buffer to queue database commands until the connection to the data instance is active.
- Database Driver Abstractions - Wraps the native database driver to provide high-level object modeling while preserving access to low-level collections.
- Database Middleware - Intercepts and modifies data states during the lifecycle of MongoDB operations to implement custom business logic.
- Hierarchical Data Models - Creates nested document structures in MongoDB to represent complex relationships while maintaining validation.
- Database I/O Queuing - Implements an asynchronous model for database interactions to ensure the main execution thread remains non-blocking during I/O.
- Hierarchical Data Structures - Creates hierarchical data structures by embedding schemas within one another to inherit validation and middleware.
- Data Modeling and ODM - Object modeling tool for Node.js applications.
- Databases - Object modeling for MongoDB.
- Object Relational Mappers - Object modeling for MongoDB.
- Search and Databases - Models MongoDB data in asynchronous environments.
- Language Drivers - Asynchronous ODM for Node.js applications.
- Node Packages - Object modeling tool for MongoDB and Node.js.
Star history
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