8 Repos
Configurations for creating associations between data entities, such as one-to-one or many-to-one links.
Distinct from Relational Entity Filtering: None of the candidates describe the general definition of relational associations in a commerce engine; most are game-specific.
Explore 8 awesome GitHub repositories matching data & databases · Entity Relationship Definitions. Refine with filters or upvote what's useful.
Doctrine ORM is a PHP object-relational mapper that connects application objects to relational database tables. It uses the data mapper and identity map patterns to decouple the in-memory object model from the database schema, allowing developers to manage data persistence without writing manual SQL. The project features a dedicated object-oriented query language and programmatic builder for retrieving data based on entities rather than tables. It implements a unit-of-work system to track object changes during a request and synchronize them via atomic transactions. The capability surface inc
Provides configurations for establishing associations between objects, including fetch strategies and cascade options.
Vendure is a Node.js e-commerce engine and headless commerce framework built with NestJS and TypeScript. It serves as a multi-channel commerce platform that manages product catalogs, orders, and customers via a strongly typed GraphQL API. The platform is distinguished by its highly extensible architecture, featuring a customizable administrative dashboard where developers can inject custom React components and entity views. It supports multi-channel commerce, allowing the isolation of products, currencies, and regional catalogs from a single unified backend. The engine covers a broad range o
Supports the creation of structured relationships between entities using custom fields.
Creates named relationships between entities to model user-resource connections for permission evaluation.
Mimesis ist ein Python-Generator für synthetische Daten, der zur Erstellung realistischer Testdatensätze und Mock-Daten für die Softwareentwicklung verwendet wird. Er fungiert als schema-basierter Datengenerator, der strukturierte Datensätze und relationale Daten erzeugen kann, und dient zudem als Anonymisierungstool für Produktionsdaten, um sensible Informationen durch synthetische Werte zu ersetzen. Die Bibliothek zeichnet sich durch umfassende Unterstützung für mehrere Sprachen aus, was die Generierung lokalisierter Informationen zur Simulation regionaler Benutzerprofile ermöglicht. Sie stellt Reproduzierbarkeit durch deterministische Datengenerierung mittels Seeds sicher, was konsistente Datensätze über verschiedene Durchläufe hinweg erlaubt. Das Tool deckt eine breite Palette an synthetischen Inhalten ab, darunter persönliche Identitäten, Finanzdaten, geografische Adressen, Netzwerk-Metadaten und wissenschaftliche Sequenzen. Die Funktionen erstrecken sich auf Datentransformation durch bedingte Logik und Piping sowie die Integration mit Dataframes und Factory-Mustern. Zudem unterstützt es die Generierung standardisierter Systemcodes, kryptografischer Token und das Mocking von Binärdateien. Das Framework ist über benutzerdefinierte Datenanbieter und Field-Handler erweiterbar, wodurch Benutzer domänenspezifische Logik und externe JSON-Dateien für spezialisierte Datengenerierung integrieren können.
Establishes relational references between synthetic entities to simulate real-world database dependencies.
OpenFGA is a fine-grained authorization server and policy decision point that implements relationship-based access control. It serves as a centralized authorization service for evaluating access requests and managing relationship tuples across distributed microservices and multi-tenant environments. The engine combines relationship graphs with attribute-based access control, using the Common Expression Language to evaluate dynamic runtime attributes and conditional access rules. It handles complex hierarchies and nested permissions by traversing chains of associations and parent-child links t
Provides a domain-specific language for defining the object types and relationships that govern all access control logic.
fast-check is a property-based testing framework and random data generator designed to verify software invariants by producing a wide range of randomized input data. It functions as a test data fuzzer that executes predicates against high volumes of random inputs to uncover edge cases and critical bugs. The project is distinguished by its ability to perform input-shrinking searches, which reduce complex failing inputs to their simplest form to isolate the exact cause of failure. It provides deterministic seed replay to exactly reproduce specific test failures and includes a concurrency testin
Creates a graph of related entities based on a schema definition to test complex relational data.
models.dev is a directory and intelligence system for large language models that provides a standardized catalog of technical specifications, provider mappings, and pricing data. It serves as a central index for model metadata, including context windows, output limits, and release dates. The project functions as a capability index and pricing comparison tool, allowing for the analysis of token costs across different hosting providers. It maps generic model names to the specific API identifiers required by various third-party platforms and tracks support for functional features such as tool ca
Provides retrieval of specific technical details such as knowledge cutoff dates and context window sizes.
Alice is a PHP test data generator and fixture library used to automate the creation of large sets of fake objects and entities. It functions as an object hydrator and random data provider, allowing users to define the structure and attributes of dummy test data in markup or arrays to simulate specific application states. The library distinguishes itself through a template-based system that supports fixture inheritance to reduce data duplication. It utilizes a flexible instantiation model that allows for custom factory integration, method invocation, and property hydration via reflection or c
Defines associations between data entities using references and properties to simulate complex dependencies.