11 रिपॉजिटरी
Syntax for navigating and extracting values from nested data structures.
Distinguishing note: Focuses on dot-notation navigation rather than general query languages.
Explore 11 awesome GitHub repositories matching data & databases · Path-Based Data Access. Refine with filters or upvote what's useful.
jsoncrack.com is a JSON data visualization tool and interactive graph viewer that transforms JSON and other structured data formats into visual tree diagrams. It functions as a data syntax validator and a structured data converter for transforming information between JSON, YAML, XML, and CSV formats. The project includes a JSON schema generator that produces schema definitions and language-specific type definitions based on provided structured data. These capabilities automate type safety and ensure data integrity through schema generation. The tool provides broader capabilities for structur
Provides dot-notation navigation to locate specific nodes within nested data structures.
Nushell is a cross-platform shell and programming language designed to treat all input and output as structured data rather than raw text streams. By enforcing data types and command signatures, it provides a consistent environment for building robust, pipeline-oriented workflows. The shell allows users to chain commands that pass structured objects between stages, enabling complex data processing and automation tasks that remain predictable across different operating systems. What distinguishes the project is its focus on interactive data exploration and modular extensibility. Users can quer
Enables retrieval of values from records and tables using dot-separated paths.
Immutable.js is a library of persistent data structures and a functional state management toolkit. It provides a collection of immutable objects and arrays that prevent direct mutation to ensure predictable state management in JavaScript applications. The library utilizes structural sharing to efficiently create new versions of data without full copying and implements lazy sequence processing to chain data transformations that execute only when values are requested. It also supports batch mutation processing, allowing multiple changes to be applied to a temporary mutable copy before returning
Enables path-based data access to read and update values deep within nested data trees without manual traversal.
simdjson is a high-performance, header-only C++ library designed for parsing, querying, and serializing JSON data with minimal memory overhead. It functions as a hardware-aware data processing engine that leverages vector instructions to achieve gigabyte-per-second parsing speeds. By detecting host processor capabilities at runtime, the library automatically selects the most efficient instruction sets to accelerate structural analysis and validation. The library distinguishes itself through a focus on extreme efficiency and resource management. It utilizes memory mapping and padded buffer ali
Retrieves specific values from nested structures using standard path expressions to navigate documents without requiring manual traversal of the entire tree.
This project is a curated directory and reference library of open-source Python applications. It serves as a comprehensive index designed to help developers study real-world software architecture, design patterns, and practical implementation strategies through a diverse collection of community-driven projects. The repository distinguishes itself by focusing on the analysis of production-ready software patterns rather than providing a single tool. It offers a structured way to explore how complex features, such as modular plugin systems, configuration management, and various deployment strate
Implements path-based syntax for navigating and extracting values from complex nested data structures.
This tool is a command-line processor designed for querying, updating, and transforming structured data files. It functions as a versatile engine for manipulating YAML, JSON, TOML, and XML documents, allowing users to perform complex operations directly from the terminal. By utilizing a path-based expression language, it enables precise navigation and modification of data structures within configuration files and infrastructure-as-code workflows. What distinguishes this tool is its ability to perform in-place document mutations while preserving original formatting, comments, and metadata. It
Updates or removes specific nodes in structured data files using path-based expressions.
Falcor is a JavaScript library that models remote data as a single virtual JSON graph, providing a path-based query engine for efficient client-side data retrieval and updates. It represents multiple remote data sources as a unified document where entities are accessed via globally unique identity paths. The system distinguishes itself by treating the remote data model as a virtual JSON resource, allowing the client to query specific paths without managing individual endpoints. It uses a reference-aware graph model to handle many-to-many relationships and prevents data duplication. Network ef
Retrieves specific data values using path syntax to read, update, or trigger actions.
This is a configuration library for JVM applications that parses HOCON, JSON, and Java properties files into an immutable tree structure. It resolves ${...} placeholders by traversing the configuration tree and falling back to environment variables and system properties, and validates loaded configurations against a reference schema. The library loads configuration from classpath resources, files, URLs, system properties, and environment variables, merging them with priority-based override semantics. It provides typed value access with automatic type coercion, supports dot-path navigation,
Navigates and extracts values from nested configuration structures using dot-notation paths.
Derby एक आइसोमोर्फिक MVC फ्रेमवर्क और रियल-टाइम डेटा सिंक्रोनाइज़ेशन इंजन है जिसे सहयोगी एप्लिकेशन्स बनाने के लिए डिज़ाइन किया गया है। यह एक द्वि-दिशात्मक (bi-directional) डेटा बाइंडिंग लाइब्रेरी और टेम्पलेट इंजन के रूप में कार्य करता है जो क्लाइंट्स और सर्वर्स के बीच स्टेट को सिंक्रोनाइज़ करने के लिए Node.js और ब्राउज़र के बीच एक सिंगल कोडबेस साझा करता है। यह फ्रेमवर्क डेटा संघर्षों को स्वचालित रूप से हल करने के लिए ऑपरेशनल ट्रांसफॉर्मेशन के उपयोग के माध्यम से खुद को अलग करता है, जो रियल-टाइम साझा संपादन और मल्टी-यूज़र सहयोग को सक्षम बनाता है। यह केवल बदले हुए वैल्यूज को प्रसारित करना सुनिश्चित करने के लिए डीप इक्वेलिटी चेक करके अपडेट्स को कम करने के लिए एक डिफरेंशियल स्टेट म्यूटेशन मॉडल का उपयोग करता है। यह प्लेटफॉर्म रिएक्टिव स्टेट मैनेजमेंट, आइसोमोर्फिक राउटिंग, और मॉड्यूलर UI कंपोनेंट डेवलपमेंट सहित व्यापक क्षमताएं कवर करता है। यह नेस्टेड डेटा पाथ्स को मैनेज करने, तेज़ शुरुआती लोड के लिए आइसोमोर्फिक रेंडरिंग निष्पादित करने, और सर्वर मिडलवेयर के साथ एकीकृत करने के लिए टूल्स प्रदान करता है। यह सिस्टम TypeScript का उपयोग करके इम्प्लीमेंट किया गया है।
Creates focused views of data subtrees to simplify interactions with nested paths using relative referencing.
RedisJSON is a system for storing and managing JSON data within Redis using a native binary format. It enables the storage of JSON documents and the retrieval of nested data using targeted path syntax. The project provides the ability to perform atomic updates on individual elements within a nested JSON object, allowing for modifications without retrieving and rewriting the entire document. It further supports NoSQL data indexing by creating secondary indexes on specific fields to accelerate search and filtering operations across datasets. Its broader capabilities cover hierarchical data ret
Provides syntax for navigating and extracting values from nested JSON structures using paths.
json-joy is a comprehensive library for building real-time collaborative applications and distributed systems. It provides a robust framework for managing shared JSON-like data structures that automatically merge concurrent edits from multiple users, ensuring consistent state across all replicas without requiring a central coordination server. The project distinguishes itself through a high-performance approach to data handling, utilizing conflict-free replicated data types and logical clock-based synchronization to maintain data integrity. It includes a specialized engine for navigating and
Retrieves and observes specific nodes or typed values within a complex data structure by using path-based selectors.