6 dépôts
Libraries for managing local data storage and object persistence.
Distinguishing note: Focuses on mobile-specific data storage implementations.
Explore 6 awesome GitHub repositories matching data & databases · Data Persistence Frameworks. Refine with filters or upvote what's useful.
This project is a comprehensive directory of open-source iOS applications designed to serve as a technical reference for developers and learners. It functions as a curated index of mobile software, categorizing projects by their functionality, implementation language, and architectural design to provide a clear view of how professional applications are structured. The repository distinguishes itself by offering a deep dive into mobile app architecture, allowing users to study real-world codebases that utilize patterns such as Model-View-ViewModel, VIPER, and Clean Architecture. It highlights
Provides implementations for local data persistence and management.
WCDB is a cross-platform storage layer and embedded database engine that serves as a framework for SQLite. It functions as an object relational mapper, linking application classes to database tables to enable data operations via objects rather than raw queries. The project is distinguished by an integrated encryption layer for securing data at rest and a full-text search engine that uses language-specific tokenizers for text lookups. It also features transparent field compression to reduce storage footprints and a connection-pooling model to coordinate simultaneous read and write operations a
Manages local storage on mobile devices with specialized features like schema synchronization and data recovery.
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 a specialized object-oriented storage engine optimized for persisting structured data as native objects on mobile devices.
MagicalRecord is a data persistence library and wrapper for Core Data that implements the Active Record pattern. It maps database rows directly to object instances, allowing for the creation, update, and retrieval of records without writing manual query logic. The project functions as a mapping layer that synchronizes object properties with a managed object context. It utilizes generic-based type resolution and model-class querying to enable data fetching directly on model classes, which removes the need for a separate external manager and reduces repetitive fetch request boilerplate. The li
Provides a streamlined framework for persisting object-oriented data models to a local Core Data store.
ActiveAndroid is an object-relational mapper and data persistence library for Android. It serves as a high-level wrapper for SQLite databases, translating database records into class instances to facilitate data manipulation. The library enables data persistence without the need to write manual SQL queries. It maps database rows to Java objects, allowing records to be saved, retrieved, and deleted using object-oriented methods. The toolkit covers local mobile data storage and database management, providing a layer that links database table structures to specific object properties.
Provides a data persistence implementation optimized for the constraints of mobile device environments.
ObjectBox Java est une base de données d'objets NoSQL embarquée pour Java et Android qui stocke les objets de données directement sans mappage relationnel. Elle fonctionne comme un moteur de stockage en processus natif, permettant aux applications de persister des classes Java ou Kotlin simples en tant qu'entités. Le projet se distingue par une capacité de base de données vectorielle sur l'appareil, utilisant des index HNSW pour effectuer des recherches de voisins les plus proches approximatifs et des requêtes de similarité sémantique. Il inclut également un navigateur web hébergé localement pour visualiser les objets de données, les schémas et les diagrammes de dépendance. La base de données couvre un large éventail de capacités de gestion de données, incluant des transactions atomiques conformes ACID, des flux de données réactifs pour des observations en temps réel et la synchronisation de données multiplateforme. Sa surface de stockage prend en charge le mappage objet-relation avec chargement différé (lazy loading), le filtrage basé sur les propriétés et la capacité d'initialiser le magasin de données en mémoire pour la mise en cache ou les tests automatisés.
Provides a high-performance embedded storage engine optimized for mobile and JVM environments.