17 Repos
Mechanisms for extending base database schemas with custom tables and relations.
Distinguishing note: Specifically handles registration of custom database entities during initialization.
Explore 17 awesome GitHub repositories matching data & databases · Schema Extensions. Refine with filters or upvote what's useful.
Payload is a headless content management system and application framework that uses a code-first approach to define data schemas and administrative interfaces. By utilizing a centralized, type-safe configuration object, it automatically generates database schemas, API endpoints, and a fully customizable admin panel. The system is built on a database-agnostic architecture, allowing it to interface with various storage engines while providing a unified, type-safe API for server-side operations, REST, and GraphQL. What distinguishes Payload is its deep extensibility and developer-centric design.
Allows registration of custom tables and relations outside the core system schema.
TypeORM is an object-relational mapper for TypeScript and JavaScript that bridges the gap between object-oriented application code and relational database tables. It provides a comprehensive data persistence layer that allows developers to define database entities using class decorators or configuration objects, enabling seamless interaction with data through object-oriented patterns. The project distinguishes itself through a flexible architecture that supports both the data mapper and repository patterns, alongside a fluent query builder that translates high-level method calls into platform
Reuses common column definitions by spreading shared configuration objects into model definitions.
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
Enables changing method arguments or document states during the lifecycle of a database operation via middleware.
Feathers is a database-agnostic Node.js application framework designed for building scalable backend systems. It functions as a real-time API framework that provides a server implementation for both REST endpoints and WebSocket connections. The framework decouples application logic from the underlying database technology and communication protocols. This allows a single service to handle both HTTP and Socket requests while separating business logic from the specific data persistence layer. The system organizes data operations through a standardized service-based interface and utilizes hook-b
Provides a hook system to execute custom logic before and after service method calls.
dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history. The project distinguishes itself through an adapter-based d
Assigns unique target schemas to individual users to prevent concurrent development conflicts.
🔮 Graphile's Crystal Monorepo; home to Grafast, PostGraphile, pg-introspection, pg-sql2 and much more!
Rename, hide, or reshape database entities and add custom types using smart tags and schema extensions.
Inbox Zero is an AI-powered email automation platform and inbox organizer. It uses large language models to automatically categorize, label, and archive emails, while providing a conversational interface for managing workflows and drafting responses through natural language. The project distinguishes itself by integrating real-time calendar availability into its drafting process and generating AI-summarized meeting briefings. It supports a pluggable AI provider interface with model fallback chains, allowing it to connect to various cloud or local LLM providers. Users can also control their in
Creates branch-specific local setups with dedicated databases to prevent schema conflicts during development.
LanceDB is a vector database and columnar data store designed to function as a versioned dataset manager and vector search engine. It serves as a high-performance backend for indexing and retrieving high-dimensional embeddings, providing the foundation for machine learning data pipelines. The system distinguishes itself through a combination of cloud-native object storage and immutable version tracking, allowing for data time-travel and reproducible AI experiments. It integrates hybrid search capabilities, merging dense vector similarity with BM25 full-text search and SQL-like scalar filters
Extends base database schemas by adding new columns via SQL expressions or external label merges.
CTFs as you need them
Extends the database schema with custom tables via Alembic migration files from plugins.
Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma
Feast separates each team's feature data into its own database schema to prevent accidental cross-team interference.
Moleculer is a Node.js microservices framework designed for building distributed systems. It functions as a distributed service broker, task orchestrator, and service mesh framework, enabling a decentralized architecture with built-in service discovery and load balancing. The project differentiates itself through a pluggable transport layer supporting protocols such as NATS, Redis, TCP, and Kafka, as well as a dedicated microservices API gateway that maps external HTTP and WebSocket requests to internal service actions. It includes built-in fault tolerance mechanisms, including circuit breake
Modifies service definitions and validation rules during the registration process after mixin merging.
Schema.org - schemas and supporting software
Extends the core schema set through a documented extension model to cover domain-specific entities and relationships.
GraphQL.NET ist ein serverseitiges Framework für den Aufbau und die Ausführung von GraphQL-APIs innerhalb von C#-Anwendungen. Es bietet ein umfassendes Toolkit für den Schema-Aufbau, eine föderierte Engine für verteilte Datengraphen und einen Subscription-Handler für die Verwaltung von Echtzeit-Datenströmen. Das Projekt zeichnet sich durch einen flexiblen Schema-Builder aus, der sowohl programmatische Code-First-Definitionen als auch deklarative Schema-First-Ansätze unter Verwendung der Standard-Schema-Definitionssprache unterstützt. Es enthält eine dedizierte Föderations-Engine, um Datengraphen in Subgraphen aufzuteilen und zu einem einheitlichen Gateway zusammenzuführen, sowie eine Data-Loader-Implementierung, die speziell darauf ausgelegt ist, das N+1-Abfrageproblem durch Batching und Caching zu lösen. Das Framework deckt ein breites Spektrum an operativen Funktionen ab, einschließlich Dependency-Injection-Integration für das Service-Lifetime-Management, Middleware-Pipelines für die Interzeption von Feldauflösungen und eine Ausführungspipeline, die mit Werttypen optimiert wurde, um Speicherallokationen zu reduzieren. Zudem bietet es Tools für die Analyse der Abfragekomplexität, Dokument-Caching und rollenbasierte Zugriffskontrolle zur Absicherung von API-Endpunkten. Die Unterstützung für Ahead-of-Time-Schema-Kompilierung ermöglicht es dem Framework, in Umgebungen ausgeführt zu werden, die dynamische Code-Generierung untersagen.
Iterates through the schema structure using a visitor pattern to analyze or modify types.
WPGraphQL is a GraphQL interface for WordPress that transforms a WordPress installation into a headless content source. It functions as a GraphQL schema provider that maps database structures and relational data into a standardized schema, exposing posts, pages, and custom data types through a single flexible endpoint. The project includes an integrated API query builder and schema explorer, allowing for the visual composition of queries and real-time validation of responses. It provides a system for extending the schema with custom fields and relationships to expose specific business data.
Allows adding custom types, fields, and connections to the GraphQL schema to expose specific business data.
TUnit is a comprehensive C# testing framework, mocking library, and fluent assertion tool. It utilizes source generation for test discovery and mock creation, ensuring compatibility with Native AOT and IL trimming by eliminating the need for runtime reflection and proxies. The framework provides specialized capabilities for integration testing, including the management of distributed application lifecycles, isolated database schemas, and the correlation of telemetry and logs across process boundaries via OTLP. It also includes an HTTP testing utility to intercept network exchanges and mock AP
Provides unique, isolated database schemas for individual tests to ensure data independence.
Fat Free CRM ist eine Open-Source-Plattform für Customer Relationship Management, die auf dem Ruby on Rails-Framework basiert. Sie bietet ein zentralisiertes Interface für die Verwaltung von Sales-Pipelines, das Tracking von Leads, Kontakten und Geschäftsmöglichkeiten sowie die Organisation organisatorischer Daten durch benutzerdefinierte Felder, Tags und teambasierte Gruppierungen. Die Plattform ist als modulare Geschäftsanwendung konzipiert, die Erweiterbarkeit durch ein Plugin-System und die Möglichkeit zur Integration als Rails-Engine innerhalb bestehender Projekte unterstützt. Diese Architektur ermöglicht dynamische Schema-Erweiterungen, wodurch Benutzer benutzerdefinierte Datenfelder definieren können, um spezifische Geschäftsinformationen zu erfassen, ohne die Kernsystemdateien zu verändern. Das System enthält umfassende Unterstützung für Konfiguration und Deployment, was angepasste Anwendungseinstellungen und die Integration mit verschiedenen Datenbank-Engines ermöglicht. Es bietet Tools für die Bereitstellung konsistenter Entwicklungsumgebungen und unterstützt das Deployment auf Cloud-Hosting-Plattformen. Sicherheit wird durch etablierte Kanäle für die Meldung von Schwachstellen und die Verteilung von Sicherheitshinweisen aufrechterhalten.
Enables runtime extension of database schemas by registering custom entities and metadata fields.
Space Station 14 is a C# multiplayer game and roleplay simulation framework. It is built upon an Entity-Component-System (ECS) game engine that separates logic into systems and data into components to manage complex entity interactions. The project functions as a grid-based physics simulator with a YAML data-driven prototype system for defining game objects. The project features a specialized 2D sprite rendering engine that maps server-side appearance data to client-side shaders. It implements a networking model with client-side prediction and dirty-flagged state synchronization to reduce inp
Implements mechanisms to extend base database schemas with fork-specific tables to maintain compatibility with upstream versions.