12 个仓库
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.
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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 是一个用于追踪机器学习、计算机视觉和自然语言处理研究会议投稿截止日期的跟踪器。它作为一个专门的日历和监控器,帮助研究人员追踪重要的会议日期里程碑。 该项目提供顶级人工智能会议的按时间顺序排列的时间线和倒计时器。它涵盖了 ML、CV 和 NLP 领域学术论文的出版周期。
Utilizes structured JSON files as the primary data store for conference names and timestamps.
Knuff is a desktop debugging tool designed for testing Apple Push Notification service payloads. It enables the delivery of custom JSON payloads to mobile devices to verify that notifications are received correctly. The application integrates with the system keychain to manage security certificates and private keys for request signing. It also includes a utility to export these security identities from the keychain into portable file formats for use with other development tools. The tool provides mechanisms for automatic device token retrieval and a payload manager to save and reuse device t
Allows developers to define and store structured JSON payloads to ensure repeatable and consistent push notification test scenarios.
FirebaseChat 是一个实时聊天应用程序和无服务器消息客户端,可在客户端之间即时同步对话和消息。它为基于云托管 NoSQL 文档存储的消息系统提供了用户界面。 该项目通过集成 Firebase 后端实现了实时聊天系统,支持即时消息工作流和跨连接客户端的数据同步。 应用程序使用无模式 NoSQL 存储和基于文档的数据建模来管理数据。它利用持久连接进行数据库同步,并通过事件驱动的消息分发和客户端状态投影来处理状态更新。
Organizes chat conversations and user profiles as a hierarchy of JSON objects for efficient retrieval.
fake-useragent 是一个用于生成真实浏览器标识字符串并将现有代理解析为结构化元数据的工具。它作为一个 HTTP 用户代理生成器和 Web 抓取工具,旨在轮换浏览器身份,以在自动化数据收集过程中模拟不同设备。 该项目提供了基于特定浏览器、操作系统、设备平台或最低版本号进行随机用户代理生成和过滤的功能。它还包括一个用户代理解析器,用于从代理字符串中提取详细的元数据,如浏览器版本和设备品牌。
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.