12 repository-uri
Stores all application data and metadata in structured JSON files for simple parsing and client-side filtering.
Distinct from JSON and Data Parsing: Distinct from JSON and Data Parsing: focuses on using JSON files as a primary data store, not just parsing or serializing JSON data.
Explore 12 awesome GitHub repositories matching part of an awesome list · JSON Data Stores. Refine with filters or upvote what's useful.
Reader is a digital content reader and browser-based document viewer. It functions as a digital library manager and content aggregator that collects articles and documents from various online sources into a single interface. The project utilizes a JSON-driven approach to organize and display hierarchies of digital documents. It incorporates a REST-based aggregation model to fetch reading materials and metadata from remote servers for a unified viewing experience. The application provides client-side rendering for digital texts and manages personal collections through a digital library system
Uses JSON-based data modeling to define content metadata and document hierarchies for consistent parsing.
Movie Data Capture is a media library organizer and movie metadata scraper designed to automatically categorize and name files in a local media collection. It functions as an automated content tagger that identifies movie files and applies descriptive tags by extracting film details from web databases. The system utilizes an HTTP web scraper to fetch information from external APIs and remote HTML content. It employs a filename pattern parser to extract movie titles and release years from local files using regular expressions, which are then used to automate search queries. The tool maps scra
Stores all movie details and organization mappings in structured JSON files for easy editing.
Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Saves JSON values with embedded metadata to accelerate queries, or as raw strings to reduce memory and processing overhead.
ai-deadlines este un tracker pentru datele de depunere a lucrărilor la conferințele de cercetare în domeniul machine learning, computer vision și procesarea limbajului natural. Acesta funcționează ca un calendar specializat și un monitor pentru a ajuta cercetătorii să urmărească etapele importante ale conferințelor. Proiectul oferă cronologii și numărători inverse pentru evenimentele de top din domeniul inteligenței artificiale. Acesta acoperă ciclul de publicare a lucrărilor academice în domeniile ML, CV și NLP.
Utilizes structured JSON files as the primary data store for conference names and timestamps.
Knuff este un instrument de debugging desktop conceput pentru testarea payload-urilor serviciului Apple Push Notification. Permite livrarea de payload-uri JSON personalizate către dispozitivele mobile pentru a verifica dacă notificările sunt primite corect. Aplicația se integrează cu keychain-ul sistemului pentru a gestiona certificatele de securitate și cheile private pentru semnarea cererilor. Include, de asemenea, un utilitar pentru a exporta aceste identități de securitate din keychain în formate de fișiere portabile pentru utilizarea cu alte instrumente de dezvoltare. Instrumentul oferă mecanisme pentru preluarea automată a token-urilor dispozitivului și un manager de payload pentru a salva și reutiliza token-urile dispozitivului și configurațiile JSON. Acest lucru permite persistența datelor specifice de notificare pentru a asigura scenarii de testare repetabile.
Allows developers to define and store structured JSON payloads to ensure repeatable and consistent push notification test scenarios.
FirebaseChat is a real-time chat application and serverless messaging client that synchronizes conversations and messages instantly across clients. It provides a user interface for a messaging system backed by a cloud-hosted NoSQL document store. The project implements a real-time chat system through the integration of a Firebase backend, allowing for instant messaging workflows and the synchronization of data across connected clients. The application manages data using schema-less NoSQL storage and document-based data modeling. It utilizes a persistent connection for database synchronizatio
Organizes chat conversations and user profiles as a hierarchy of JSON objects for efficient retrieval.
fake-useragent este un instrument pentru generarea de șiruri de identificare a browserelor realiste și parsarea agenților existenți în metadate structurate. Acesta funcționează ca un generator de HTTP user-agent și un utilitar de web scraping conceput pentru a roti identitățile browserelor, imitând diferite dispozitive în timpul colectării automate de date. Proiectul oferă capabilități pentru generarea aleatorie de user-agent-uri și filtrarea pe baza unor browsere, sisteme de operare, platforme de dispozitive sau numere de versiune minime specifice. Include, de asemenea, un parser de user-agent pentru a extrage metadate detaliate, cum ar fi versiunile de browser și brandurile dispozitivelor, din șirurile de agenți.
Organizes browser and device information into structured JSON formats for easy retrieval.
Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di
Models and persists properties as native JSON types within graph nodes, allowing for direct querying and manipulation.
Stores all bookmark collections and metadata in structured JSON files for simple parsing and client-side filtering.
This project is a REST mock API and e-commerce sandbox that provides simulated backend data for testing and prototyping. It serves as a JSON data provider, offering predefined endpoints to manage product catalogs, customer profiles, and shopping carts. The system uses JSON-based mock persistence and in-memory state simulation to deliver consistent data without a database. It includes a JWT authentication mock that simulates user login flows by issuing tokens to verify identity and access to protected resources. The API covers capabilities for catalog management, shopping cart operations, and
Serves as a JSON data provider delivering simulated store records for development and prototyping.
This project is a technology radar visualization tool and dockerized static site generator. It transforms JSON or CSV datasets into an interactive technology map used to track the adoption status and maturity of tools and techniques across an organization. The tool enables enterprise architecture mapping by organizing portfolios of technologies into categories and maturity levels. It supports custom technical taxonomies, allowing the definition of specialized rings and quadrants to match specific organizational evaluation criteria. The system covers automated radar generation and technology
Uses structured JSON files to model technology positions and the radar taxonomy.
Icon-sets is a repository and toolkit for aggregating, optimizing, and managing open-source vector icon collections. It functions as an SVG icon collection manager, vector icon library, and processing utility that organizes design assets into standardized JSON data structures and graphic files. The project provides comprehensive capabilities for icon import, export, processing, and rendering. Imported vector graphics undergo schema-driven validation, security sanitization, and format standardization alongside geometric transformations such as scaling, rotation, and flipping. Alias-based data
Stores icons as structured coordinate data and metadata inside lightweight JSON documents to enable efficient manipulation and transport.