12 Repos
Libraries that map database documents to programmable objects in a specific runtime environment.
Distinct from Node.js Server Frameworks: Candidates are either general server frameworks or version managers; no candidate covers the specific role of an ODM for MongoDB in Node.js.
Explore 12 awesome GitHub repositories matching data & databases · Object Data Modelers. Refine with filters or upvote what's useful.
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
Provides an object data modeling framework to map application objects to MongoDB documents in Node.js.
EdgeDB is a graph-relational database that combines a PostgreSQL backend with a graph-based schema and query language. It functions as an object-relational mapper and graph query engine, allowing data to be modeled as objects and links to align storage with modern programming language structures. The system features a composable query language designed to retrieve deeply nested or interconnected data without the use of manual SQL joins. It includes an integrated AI-driven data retrieval solution with built-in support for vector embeddings. The platform provides a schema migration tool for tr
Allows defining schemas using object types and links to align database structures with modern programming languages.
Realm Java is a NoSQL mobile object database and reactive database engine. It provides a persistent local data store that saves native objects directly to disk, replacing traditional SQL storage and object-relational mapping layers. The system functions as a real-time data synchronizer, coordinating local database changes with a cloud backend across multiple devices. It integrates a reactive engine that uses change listeners and asynchronous event streams to automatically update user interfaces when underlying data changes. The project covers object-oriented data modeling, CRUD operations, a
Provides the ability to define database schemas using object types that align with native programming language structures.
protobuf.js is a JavaScript and TypeScript library for encoding and decoding structured data using the Protocol Buffers binary format. It functions as a dynamic parser that can load and process schemas at runtime, a JSON transcoder for converting messages to human-readable formats, and a framework for building transport-agnostic remote procedure call clients. The project distinguishes itself by offering both dynamic message handling and a static code generator that produces TypeScript declarations and JavaScript modules to reduce runtime overhead. It also provides a reflection API for definin
Parses schema files into an internal tree of objects that drives runtime encoding and decoding.
This project is a SQL database abstraction layer that provides a consistent object-oriented interface for interacting with multiple relational database systems. It includes a driver wrapper to standardize connections and result sets, a fluent query builder for constructing portable SQL statements, and a type mapper for converting database-specific data types into native application types and vice versa. The library enables programmatic schema management through a schema manager that can introspect database metadata, model structures as objects, and generate the SQL required to migrate between
Represents database structures as an object graph to calculate differences and generate migration SQL.
This project is a production-ready template for building RESTful APIs using Node.js and the Express web framework. It provides a pre-configured structure for backend services, integrating a MongoDB Mongoose ODM framework for data modeling and a token-based security system for managing user identity. The boilerplate distinguishes itself through automated API documentation generated via Swagger by parsing code comments. It implements a layered controller architecture and a middleware-based request pipeline to separate routing logic from business logic and security processing. The system covers
Uses a Mongoose ODM to map database documents to programmable objects in Node.js.
Waterline ist eine adapterbasierte Datenbankbibliothek und ein Object-Relational-Mapper für Node.js. Sie dient als Multi-Datenbank-Persistenzschicht, die Standard-Methodenaufrufe in spezifische Abfragen für SQL- und NoSQL-Datenbanken übersetzt. Die Bibliothek bietet eine einheitliche Schnittstelle zur Verwaltung von Daten über verschiedene Speicher hinweg, darunter MySQL, PostgreSQL, MongoDB und Microsoft SQL Server. Diese Architektur ermöglicht die Integration mehrerer Datenbank-Backends innerhalb einer einzigen Anwendung und erleichtert den Wechsel des Datenbankanbieters durch den Austausch von Adaptern, ohne die Geschäftslogik ändern zu müssen. Das Projekt deckt relationale und dokumentenbasierte Mappings ab und bietet eine konsistente Syntax zum Speichern und Abrufen von Daten. Es nutzt schema-gesteuertes Object-Mapping, um die Lücke zwischen Datenbanktabellen oder -sammlungen und JavaScript-Objekten zu schließen.
Employs a schema-driven approach to map database tables and collections to JavaScript objects.
imessage-exporter ist ein Tool zum Extrahieren von Nachrichtenverläufen und Medien aus iMessage-Datenbanken in portable Text- und Webformate. Es fungiert als Datenbank-Exporter, Diagnosetool und Parser, der rohe SQLite-Datensätze in standardisierte Formate für die plattformübergreifende Verarbeitung konvertiert. Das Projekt bietet Dienstprogramme für die Archivierung von Konversationen und die Wiederherstellung von Datenbankdateien. Es enthält Diagnosefunktionen zur Analyse von Nachrichtendatensätzen auf interne Inkonsistenzen und strukturelle Probleme. Das System verwendet ein Local-only-Verarbeitungsmodell, um Daten über SQL-Abfragen zu extrahieren und relationale Datenbankzeilen auf ein strukturiertes internes Datenmodell abzubilden. Es verknüpft Datenbank-Dateipfade mit physischen Anhängen und verwendet Vorlagen, um portable Ausgabedateien zu generieren.
Transforms relational database rows into structured internal objects by mapping table columns to a standardized data model.
This project is a markdown-based personal knowledge base and digital learning journal used to store notes and summaries from books and technical literature. It serves as a reading summary repository and technical reference library for archiving key takeaways and insights from non-fiction and professional materials. The collection functions as a digital garden for curating insights from books, articles, and videos. It specifically focuses on distilling complex architectural patterns, technical concepts, and professional leadership principles into a searchable format for long-term reference. T
Documents principles for defining database schemas that align with programming language structures.
Screw ist ein Tool zur Analyse von Datenbankschemata, das automatisch technische Dokumentationen und Java-Datenobjekte erstellt. Es scannt Datenbanktabellen, um deren Definitionen zu exportieren und Schemametadaten in strukturierte Berichte und Anwendungscode umzuwandeln. Das Projekt generiert Plain Java Objects (POJOs) basierend auf bestehenden Datenbanktabellenstrukturen, um die Datenmodellierung zu automatisieren. Zudem erstellt es eine Dokumentation des Datenbankschemas in den Formaten HTML, Word und Markdown. Das System umfasst Funktionen für den Tabellenexport mit Filterung nach Namensmustern, JDBC-basierte Schemaextraktion und vorlagenbasierte Codegenerierung, um Datenbankspaltentypen auf Java-Datentypen abzubilden.
Generates Java objects and documentation directly from a database to ensure consistency between schema and application.
This project is a code scaffolding tool and database-to-code mapper for Laravel. It functions as a CRUD generator and REST API generator that automates the creation of models, controllers, and administrative interfaces based on database schemas. The tool is distinguished by its template-driven approach, using customizable stub files that allow developers to override default blueprints to enforce specific architectural standards. It provides complete administrative dashboard boilerplates, including integrated authentication, themed UI layouts, and searchable data tables. The system covers a b
Parses database tables and foreign keys to automatically build Eloquent models and relationship definitions.
Jet is a schema-driven code generation tool and type-safe SQL builder for Go. It introspects database schemas to automatically generate builders and data models, enabling compile-time type checking for table and column references to prevent runtime errors. The project distinguishes itself through a fluent interface that mirrors native SQL syntax, allowing for the orchestration of complex queries including common table expressions, recursive queries, and nested JSON structures. It further optimizes data retrieval by binding query outputs directly into generated Go structures or raw byte slices
Generates Go data models directly from the database schema to map raw rows to structured objects.