25 Repos
Provides functions to create, transform, filter, and merge map objects, including extracting keys, values, or entries.
Distinct from Dynamic Data Mapping: None of the candidates fit; this is a database-specific collection manipulation capability.
Explore 25 awesome GitHub repositories matching data & databases · Map Data Structure Manipulation. Refine with filters or upvote what's useful.
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
Implements map merging to combine two separate collections into a single consolidated data structure.
Hutool is a standard utility library for Java application development designed to simplify common programming tasks and reduce boilerplate code. It provides a comprehensive collection of reusable helper classes and static utilities to streamline development across the Java ecosystem. The project implements a wide array of specialized toolkits, including systems for cryptography and security, network communication via HTTP and JSON clients, and the processing of office documents and file system IO. It also features a concurrency and scheduling framework for managing asynchronous tasks and recu
Provides specialized map implementations and manipulation functions for managing complex sets of information.
Discord.js is a Node.js library and framework for interacting with the Discord API. It provides a comprehensive set of wrappers for REST and WebSocket connections, enabling the development of automated server accounts and real-time chat applications. The project distinguishes itself through a distributed bot sharding system that splits a single bot instance across multiple processes to handle high server counts and large-scale workloads. It also includes a specialized voice API wrapper for managing audio streams and voice channel connectivity. The library covers broad capability areas includ
Stores API objects in custom map structures for fast retrieval and organized manipulation of grouped data.
This project is a comprehensive programming tutorial and technical guide focused on the Java 8 language specification. It provides educational resources for implementing functional programming patterns, utilizing modern language syntax, and adopting updated API standards. The guide covers the transition to functional programming through the use of lambda expressions, method and constructor references, and functional interfaces. It also details the use of default interface methods to extend logic without breaking existing classes and the implementation of repeatable annotations. Additional co
Covers advanced Map manipulation including merging, computing values, and conditional updates.
Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing
Enables creation, transformation, and merging of map objects directly within SQL statements.
Sass is a stylesheet compilation engine and CSS preprocessor that extends standard CSS with variables, nested rules, mixins, and functions. It functions as a comprehensive design system tool, enabling developers to organize complex stylesheets into modular, reusable components while automating the transformation of advanced syntax into browser-compatible CSS. The project distinguishes itself through its sophisticated build automation and language-level extensibility. It provides robust support for programmatic style generation, including conditional logic, iterative loops, and unit-aware math
Provides functions to retrieve, update, merge, remove, and inspect key-value pairs within 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
Manipulates complex data structures through merging, filtering, sorting, and format conversion.
This project is a markdown knowledge base used to maintain a curated collection of concise technical notes and write-ups across various programming languages and tools. It serves as a searchable personal reference library for documenting technical discoveries and software development patterns. The system implements a learning in public workflow, transforming markdown-based content storage into a static site. It utilizes directory-based routing to map folder structures to URL paths and employs schema-driven type generation to ensure data consistency across the knowledge base. The codebase cov
Provides a utility to consolidate multiple maps into one by combining values with matching keys.
This project is a framework for the efficient serialization and deserialization of data structures. It provides a unified, macro-based interface that automates the conversion of complex internal objects into standardized formats and reconstructs them from raw input streams or buffers. By leveraging compile-time code generation, the library minimizes manual implementation overhead while ensuring consistent logic across diverse data types. The framework distinguishes itself through a format-agnostic data model and a visitor-based parsing architecture that decouples data structures from specific
Simplifies data structures by merging nested fields into parent containers during the serialization process.
mitmproxy2swagger is a tool that transforms captured mitmproxy network traffic into structured OpenAPI schemas for reverse-engineering REST APIs. It functions as an OpenAPI schema converter and network traffic documentation utility, extracting API endpoints and data structures from captured network packets to create formal technical references. The tool enables the reconstruction of undocumented APIs by converting intercepted HTTP request and response patterns into specifications. It supports merging multiple traffic capture files into a single schema to incrementally expand an API map and ut
Combines multiple capture datasets into a single schema to build a comprehensive API map over time.
ORB_SLAM3 is a visual-inertial SLAM library designed for real-time simultaneous localization and mapping. It provides a framework for tracking camera movement and building 3D maps of environments using monocular, stereo, or RGB-D cameras combined with inertial sensors. The system features a multi-map fusion engine capable of merging separate spatial sessions into a single seamless representation of an environment. It includes specialized processing for wide-angle and fisheye lenses to expand the visual field of view for spatial tracking. The library covers a broad range of spatial intelligen
Includes a multi-map fusion engine that merges separate spatial sessions into a seamless environment representation.
This repository is a collection of practical code snippets and implementation patterns for Flutter and Dart. It serves as a comprehensive guide and reference for asynchronous programming, state management patterns, and UI component design. The project provides advanced language reference material covering generics, reflection, factory constructors, and null-aware operators. It also includes specific utilities for manipulating Dart collections, such as helper methods for transforming and filtering maps, lists, and iterables. The coverage extends to high-level capabilities including asynchrono
Implements map merging where the second map overrides the first in case of key conflicts.
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
Accelerates query performance by caching previously deserialized objects in memory.
VINS-Mono ist ein monokulares visuell-inertiales Odometriesystem und ein Loop-Closure-SLAM-Framework. Es fungiert als Echtzeit-Zustandsschätzer, der Daten einer einzelnen Kamera mit einer Inertial Measurement Unit (IMU) fusioniert, um Position und Orientierung eines Roboters zu bestimmen. Das Projekt enthält einen nicht-linearen Optimierer für die Robotik sowie Tools zur Sensorkalibrierung. Das System zeichnet sich durch Online-Sensorkalibrierung aus, die automatisch räumliche Extrinsics und zeitliche Offsets zwischen Kamera und Inertialeinheit während des Betriebs bestimmt. Zudem integriert es eine Korrektur für Rolling-Shutter-Verzerrungen, um Bildfehler durch Sensor-Auslesezeiten zu eliminieren. Das Projekt deckt ein breites Spektrum an räumlichen Schätzfunktionen ab, darunter Sliding-Window-Optimierung, enge visuell-inertiale Kopplung und Pose-Graph-Optimierung zur Drift-Korrektur. Es bietet Mechanismen zur Loop-Closure-Erkennung, Verwaltung räumlicher Karten und Wiederherstellung nach Tracking-Fehlern. Das Projekt unterstützt containerisiertes Deployment, um konsistente Builds und Verhalten über verschiedene Betriebssysteme hinweg zu gewährleisten.
Implements the merging of multiple spatial mapping sessions into a single global coordinate system.
Carp is a statically typed Lisp compiler that compiles Lisp-like syntax directly to C source code, enabling seamless integration with existing C libraries and low-level system programming. It manages memory deterministically at compile time using ownership tracking and linear types, eliminating garbage collection pauses and runtime overhead while ensuring type safety through an inferred static type system. The language distinguishes itself through compile-time macro expansion and metaprogramming capabilities, allowing code generation and transformation before final binary output. It enforces
Provides a function to merge two maps together.
GraphQL-Ruby ist eine Ruby-Bibliothek zum Erstellen von GraphQL-APIs mit einem stark typisierten Schema und einer dedizierten Query-Execution-Engine. Sie bietet ein umfassendes Framework zum Mappen von Anwendungsobjekten auf ein formales Typsystem, was strukturiertes Datenabrufen durch definierte Resolver ermöglicht. Das Projekt zeichnet sich durch fortschrittliche Performance- und Bereitstellungsmechanismen aus, darunter einen Data Loader für Batching und Caching zur Vermeidung von N+1-Abfragemustern. Es unterstützt leistungsstarke Datenbereitstellung durch inkrementelles Response-Streaming, verzögerte Abfrageantworten und paralleles Datenabrufen mittels Fibers. Zudem bietet es native Unterstützung für Relay-Konventionen, einschließlich spezialisierter Helfer für Connections und Objektidentifikation. Die Bibliothek deckt ein breites Spektrum an API-Management ab, einschließlich fein abgestufter Zugriffskontrolle, Schema-Versionierung zur Wahrung der Abwärtskompatibilität und Echtzeit-Updates via Subscriptions. Sie enthält zudem Traffic-Management-Tools zum Schutz von Serverressourcen, wie z. B. die Begrenzung der Abfragekomplexität und Request-Rate-Limiting. Entwicklung und Observability werden durch AST-Analysewerkzeuge, Execution-Tracing und spezialisierte Test-Utilities zur Verifizierung von Batch-Loading unterstützt.
Maps different input keys to a single unique identifier to ensure only one instance of an object is cached.
esm is an ECMAScript module loader and JavaScript module path resolver. It functions as a runtime system that executes standard JavaScript modules without requiring a separate build or bundling process. The project provides a compatibility bridge for CommonJS interoperability, wrapping CommonJS exports into synthetic modules to allow imports and exports between different module systems. It includes a dynamic module cache that stores resolved instances in memory to prevent redundant file system reads and repeated execution. The system handles runtime path resolution and file extension detecti
Implements a dynamic memory map to store resolved modules, preventing redundant file system access and repeated execution.
JDA is a Java wrapper for the Discord API, providing a framework for building automated agents and integrating applications with the chat platform. It functions as both a REST API client for managing server entities and a gateway client that maintains persistent WebSocket connections for real-time state updates. The library features a comprehensive voice API module for managing audio streaming, voice channel connectivity, and soundboard integration. It also includes a specialized toolkit for interactive UI design, enabling the creation of slash commands, buttons, select menus, and modal input
Maintains an in-memory cache of API objects to minimize network latency and redundant REST calls.
ExcelDataReader is a C# library used to extract data and metadata from Microsoft Excel spreadsheets and CSV files. It functions as a workbook parser that converts spreadsheet content into structured data sets for programmatic access and iteration. The project includes a specialized metadata extractor for retrieving cell-level details, such as number formats, styles, row heights, column widths, and merged cell ranges. It also provides a stream processor for parsing plain text CSV files with customizable encoding and separator detection. The library supports the OpenXML standard for modern spr
Transforms hierarchical spreadsheet structures into relational data tables for easier querying and manipulation.
Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr
Extracts specific keys or values from property maps and entity attributes.