5 dépôts
Tools for utilizing predefined datasets to verify application functionality without production connections.
Distinguishing note: Focuses on the utility of mock data for testing rather than data management.
Explore 5 awesome GitHub repositories matching data & databases · Mock Data Utilities. Refine with filters or upvote what's useful.
Storybook is an integrated environment for developing, documenting, and testing user interface components. It provides a development workshop for building components in isolation from main application logic, alongside a testing tool for simulating viewports and analyzing accessibility. The project creates a living catalog of interface elements that generates interactive examples and technical documentation for component APIs. It includes a dedicated environment for visual regression testing to verify states and behaviors across different configurations and screen dimensions. The platform cov
Simulates queries and parameters to verify how components handle different data states and edge cases.
ToolJet is a low-code development platform designed for building and deploying internal business applications. It provides a visual interface where users can drag and drop components to design layouts, connect to various data sources, and execute custom logic. The platform is built on a containerized architecture, ensuring that applications remain portable and consistent across different cloud and server environments. The platform distinguishes itself through integrated artificial intelligence capabilities that assist in the generation of user interfaces, database schemas, and data queries fr
Utilizes predefined datasets to verify application features and workflows without requiring a connection to production databases.
Faker is a library for generating synthetic data and mock information to populate development and testing environments. It provides a structured way to create realistic values such as names, addresses, and dates, allowing developers to validate application logic and visualize user interfaces without relying on production data. The library distinguishes itself through its support for deterministic generation, which uses fixed seeds to ensure that data sequences remain identical across multiple test executions. It also features a modular architecture that separates generation logic into indepen
Generates realistic synthetic information to validate application logic and ensure features behave correctly with varied user input.
PySyft is a privacy-preserving machine learning framework and remote computation engine. It functions as a decentralized data analysis orchestrator that allows for the execution of data science workflows on remote servers without requiring the transfer of raw private data from the host device. The platform provides a secure collaboration environment where data owners manage permissions and authorize specific collaborators to run computations. It differentiates its workflow by utilizing mock data for local development and validation before submitting final analysis jobs to private remote serve
Provides synthetic data surrogates to validate analysis code locally before deploying to private remote servers.
JSONPlaceholder est un serveur mock d'API REST et un service de mocking JSON qui fournit un bac à sable de développement frontend hébergé. Il fonctionne comme un faux backend qui renvoie des réponses JSON prédéfinies pour simuler une API REST pour le développement et le test. Le service prend en charge le partage de ressources inter-origines (CORS), permettant aux intégrations d'API d'être testées à partir de différents domaines de navigateur. Il permet la simulation d'opérations CRUD et la récupération de données mock sans nécessiter de base de données réelle. Le système mappe les modèles d'URL vers un magasin de données statique basé sur JSON et gère les requêtes de manière stateless. Il inclut des capacités pour le filtrage par paramètres de requête et le mappage de ressources imbriquées pour simuler des structures de données relationnelles un-à-plusieurs.
Provides predefined datasets of users, posts, and comments to populate applications during development.