14 Repos
Tools for defining and structuring data schemas and field hierarchies.
Distinguishing note: No candidates provided; grouping under Data & Databases as it pertains to schema definition.
Explore 14 awesome GitHub repositories matching data & databases · Data Modeling. Refine with filters or upvote what's useful.
Twenty is a headless customer relationship management framework that enables developers to build, version, and deploy custom business applications using code. By utilizing a declarative approach to data modeling, the platform allows for the definition of custom objects, fields, and complex relationships directly within the source code. This schema-driven architecture automatically generates corresponding REST and GraphQL APIs, ensuring that data structures and interface components remain synchronized across development and production environments. The platform distinguishes itself through a m
Connect records from different objects by defining one-to-many or many-to-one relationships, specifying target objects and field names for both sides of the connection.
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.
Organizes complex data structures by nesting fields under common properties for improved management.
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
Implements patterns for structuring and querying tree-like data relationships in relational databases.
SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer
Represents diverse data structures using native support for arrays, objects, datetimes, and geometry types.
Sequelize is an object-relational mapping library that provides a unified interface for managing relational data through code. By implementing the Active Record pattern, it maps database tables to application objects, allowing developers to perform standard create, read, update, and delete operations using high-level method calls. The library abstracts complex database interactions by translating these calls into optimized, engine-specific SQL statements, ensuring consistent behavior across different database systems. The project distinguishes itself through a comprehensive suite of tools for
Sequelize supports assigning specific database-native types to model columns using built-in options that map directly to database definitions.
Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools. The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches
Exposes simplified, logical subsets of the underlying data model to downstream consumers.
FoundationDB is an ACID-compliant distributed transactional key-value store. It functions as a scalable database engine that ensures strict serializability and data consistency across a cluster of servers using a shared-nothing architecture. The system is distinguished by its multi-region replication capabilities, allowing data to be synchronized across different datacenters for high availability and disaster recovery. It utilizes optimistic concurrency control to manage distributed transactions and employs a majority-based coordination system to maintain cluster state. The platform provides
Organizes structured data within an ordered key-value store using specific schema and representation techniques.
MobX State Tree is a structured, tree-based state management library for JavaScript applications that combines typed model definitions with reactive snapshots and patch-based change tracking. It provides a reactive state container with runtime and compile-time type safety, where application state is defined as a tree of typed models with collocated actions, computed views, and lifecycle hooks for predictable state mutations. The library is built around an action-centric mutation model that encapsulates all state changes within named functions that directly modify the tree, supported by genera
Checks reference validity and safely handles missing or detached target nodes in the state tree.
Tortoise ORM is an asynchronous object-relational mapper for Python that mirrors Django's model and queryset API while running on asyncio. It defines database tables as Python classes with typed fields and supports foreign key, many-to-many, and one-to-one relations, providing a chainable query API for filtering, annotating, grouping, and prefetching related objects without blocking the event loop. The ORM includes a built-in migration engine that detects model changes, generates migration files, and applies or reverts schema changes through a command-line tool. It connects to PostgreSQL, MyS
Defines database tables as Python classes with typed fields and relationships, mirroring Django's model syntax.
Davinci ist eine Business-Intelligence- und Datenvisualisierungsplattform, die für den Aufbau interaktiver Dashboards und Berichte verwendet wird. Sie fungiert als SQL-basierter Dashboard-Builder und Multi-Tenant-Analytics-Dienst, der über JDBC und CSV-Dateien mit Datenbanken verbunden wird, um Rohdaten in visuelle Komponenten zu transformieren. Die Plattform zeichnet sich durch ihr granulares Sicherheitsmodell aus, das Zeilen- und Spalten-basierte Berechtigungen umfasst, die in LDAP- und OAuth2-Authentifizierung integriert sind. Sie bietet zudem ein eingebettetes Visualisierungstool, das es ermöglicht, sichere, parametrisierte Diagramme und Dashboards über URLs und Frames in externe Anwendungen einzubinden. Das System deckt ein breites Spektrum an Funktionen ab, einschließlich Datenmodellierung mit SQL-Vorlagen, einer Drag-and-Drop-Layout-Engine für responsive Dashboards und einer Vielzahl von Visualisierungstypen wie Sankey-Diagrammen, Radar-Charts und geografischen Karten. Zudem umfasst es Automatisierungen für die Planung E-Mail-basierter Berichte und nutzt Key-Value-Caching zur Optimierung der Abfrageleistung.
Enables the definition of data models by categorizing fields as dimensions or metrics for visual rendering.
Codeception is a full-stack testing framework for PHP applications that provides a unified interface for unit, functional, and acceptance testing. It serves as a tool for automating real desktop and mobile browsers via the WebDriver protocol and acts as a client for testing REST and SOAP APIs. The framework is distinguished by its support for Behavior-Driven Development, allowing users to write human-readable test specifications in Gherkin language to align technical tests with business requirements. It implements actor-based action mapping to connect these natural language steps to executabl
Interacts with databases via domain models and wraps test actions in roll-backable transactions.
MongoEngine ist ein Python-Object-Document-Mapper, der Datenbankeinträge in Objekte übersetzt, um eine objektorientierte Schnittstelle für die Datenpersistenz bereitzustellen. Er dient als Dokument-Manager und Schema-Validator für MongoDB und bildet Klassen auf Dokumente ab, um Datentypen und Validierungsregeln durchzusetzen. Das Projekt bietet ein Lazy-Loaded-Queryset-System zum Filtern, Sortieren und Aggregieren von Sammlungen unter Verwendung einer Python-Syntax. Es verwaltet komplexe Datenstrukturen durch Funktionen wie Dokumentenvererbung, rekursive Handhabung eingebetteter Dokumente und referenzbasierte Objektverknüpfung. Die Bibliothek deckt breite Funktionen ab, einschließlich Schema-Migration, Volltextsuche und die Verwaltung großer Binärdateien über das GridFS-Dateisystem. Sie enthält zudem Tools zur Optimierung von Datenbankindizes, zur Profilierung der Abfrageleistung und signalbasierte Lifecycle-Hooks, um Logik während Dokumentenereignissen zu automatisieren.
Links documents together and defines automatic deletion rules for when a referenced document is removed.
Twill ist ein Laravel-CMS-Toolkit und Admin-Panel-Generator, der für den Bau benutzerdefinierter administrativer Konsolen und Content-Management-Systeme entwickelt wurde. Es dient als Headless-CMS-Framework und als Toolkit zur Definition von Inhaltsmodellen und zur Verwaltung strukturierter Daten über eine dedizierte administrative Schnittstelle. Das Projekt bietet einen visuellen Block-Editor, der es Redakteuren ermöglicht, wiederverwendbare Inhaltsabschnitte über eine Drag-and-Drop-Schnittstelle anzuordnen und zu konfigurieren. Es enthält einen dedizierten Digital-Asset-Manager zum Speichern, Zuschneiden und Optimieren von Bildern und Dateien über lokalen oder Cloud-Speicher hinweg sowie einen mehrsprachigen Inhaltsmanager für die Handhabung übersetzter Felder und lokalisierter Permalinks. Die Plattform bietet umfassende Funktionen für die Inhalts- und Medienverwaltung, einschließlich Versionsverfolgung, Veröffentlichungsplanung und hierarchischer Seitenorganisation. Sie deckt umfangreiche administrative Tools ab, wie z. B. rollenbasierte Zugriffskontrolle, globale Suche und Befehlszeilen-Scaffolding für die schnelle Generierung von CRUD-Modulen und Datenbankmigrationen. Das System integriert sich in Laravel-Modelle unter Verwendung von Traits, um Veröffentlichungs- und Medienhandhabung zu ermöglichen.
Provides tools for defining and structuring data schemas and field hierarchies for administrative control.
Marksman is a Language Server Protocol implementation for Markdown that provides advanced editor features including autocomplete, go-to-definition, and hover support for markdown files. It serves as an analysis engine to manage documentation and knowledge bases through automated link validation and consistent cross-referencing across multiple documents. The project enables the navigation of complex networks of wiki-style links and headings. It supports content refactoring, allowing users to rename headings and update internal references across multiple files to maintain document integrity dur
Detects broken wiki-links and duplicate or ambiguous headings through real-time diagnostics.