30 个仓库
Tools and functions for reordering, filtering, and transforming elements within structured data arrays.
Distinct from Array Element Finding: The candidates are educational tutorials or specific element-finding methods; this tag captures the functional capability of array transformation within a data processing engine.
Explore 30 awesome GitHub repositories matching data & databases · Array Manipulation Utilities. Refine with filters or upvote what's useful.
Lodash is a JavaScript utility library and data manipulation toolkit. It provides a collection of modular functions for transforming, filtering, and validating arrays, objects, strings, and numbers. The project functions as a functional programming toolkit, offering capabilities for function composition, currying, and lazy evaluation. It includes mechanisms for execution control, such as debouncing and throttling, to manage the timing and frequency of function invocations. The library covers a broad surface of data operations, including deep cloning and merging of complex nested structures,
Provides a massive suite of utilities to chunk, flatten, slice, reverse, and perform set operations on arrays.
NumPy is a foundational library for scientific computing in Python, providing a comprehensive framework for managing and manipulating large-scale numerical information. It centers on high-performance multidimensional array objects that serve as the primary data structure for complex mathematical operations and data analysis workflows. The library distinguishes itself through specialized mechanisms for handling multidimensional data, including advanced indexing, slicing, and broadcasting techniques that allow for efficient operations across arrays of varying shapes. It utilizes strided metadat
Provides utilities for reshaping, sorting, and selecting data points within array structures.
This project is a collection of interactive Python notebooks and educational resources designed for mastering data science, machine learning, and numerical computing. It provides a series of practical guides and tutorials covering deep learning, big data processing, and statistical analysis. The repository features specialized instructional suites for implementing classical machine learning algorithms, building deep learning model architectures, and managing AWS cloud infrastructure. It includes dedicated notebooks for data visualization and numerical computing exercises. The project covers
Covers the use of boolean masking and sorting algorithms to filter and rearrange numerical datasets.
Underscore is a JavaScript utility library providing a suite of functional programming and data manipulation helpers. It serves as a framework for transforming data collections, composing functions, managing objects, and performing precise data type validation without modifying core language prototypes. The project includes a functional programming toolkit designed to control function execution timing and behavior through techniques such as debouncing, throttling, and partial application. It also provides a dedicated object manipulation utility for cloning, merging, picking, and omitting prop
Acts as a comprehensive utility library for transforming and filtering arrays and objects in JavaScript.
This project is a comprehensive JavaScript programming tutorial and language reference. It serves as a web development education resource providing instruction on modern language fundamentals, object-oriented design, and advanced asynchronous programming patterns. The resource functions as both a frontend development guide and a technical reference. It covers core language features such as closures, prototypes, promises, and typed arrays, while providing practical lessons on managing browser data and handling network requests. The content spans several key capability areas, including browser
Explains functional capabilities for transforming, filtering, and aggregating elements within structured arrays.
Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and traces across distributed infrastructure. It functions as a modular engine that decouples data ingestion from processing and transmission, utilizing a component-based architecture to connect diverse sources to multiple destinations. The project distinguishes itself through a focus on reliability and flow control. It implements backpressure-aware data movement to prevent data loss during traffic spikes and utilizes disk-backed event buffering to ensure durability during network
Modifies, chunks, or combines arrays for structured data processing.
This project is a reference guide and collection of implementation patterns for replacing legacy libraries with native JavaScript. It provides a vanilla JavaScript reference guide, a modern web API cookbook, and a DOM manipulation cheat sheet to help migrate frontend dependencies to standard browser APIs. The project focuses on mapping library functions to native interfaces for DOM manipulation, network requests, and event handling. It includes a utility pattern library for common tasks such as string cleaning, type checking, and element styling. The covered capabilities include DOM element
Includes utilities for merging objects and filtering arrays using native JavaScript iteration patterns.
SwifterSwift is a collection of Swift extensions designed to reduce boilerplate code during the development of iOS and macOS applications. It provides a library of pre-made utilities that extend the standard library and system frameworks to streamline data manipulation, system integration, and user interface optimization. The project provides specialized tools for a wide range of development tasks. This includes image processing and binary translation, text string manipulation, and complex data management for arrays, strings, and dictionaries. It also offers utilities for network request mana
Provides a comprehensive set of extensions for simplifying common operations on Swift arrays, strings, and dictionaries.
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
The tool reorders the elements within an array to appear in the opposite sequence from their original position.
This project is a curated collection of programming exercises designed to build proficiency in numerical computing and data manipulation. It provides a structured learning path for mastering multidimensional array operations, vectorized arithmetic, and statistical analysis. The repository focuses on developing practical expertise in array-based workflows, emphasizing techniques such as memory management, efficient data processing, and the replacement of explicit loops with vectorized operations. Users engage with hands-on challenges that cover the full lifecycle of numerical data, from initia
Performs arithmetic and logical operations on integer vectors to test operator behavior.
This project is a technical interview preparation resource focused on JavaScript. It provides a collection of common technical questions, detailed answers, and conceptual quizzes designed to help users master core language fundamentals and browser APIs. The resource utilizes an interactive infrastructure that includes a coding workspace with in-browser runtime execution and an automated test suite to validate code correctness. It organizes content through curated learning paths and modular concept mapping to decompose complex language fundamentals into searchable study modules. The curriculu
Teaches array and object manipulation using modern JavaScript features like spread and rest syntax.
RedisInsight is a graphical user interface and management tool for browsing, analyzing, and administering Redis databases. It provides a visual environment for exploring key-value data structures, managing database instances, and performing data analysis across different operating systems and deployments. The tool distinguishes itself by providing dedicated visual managers for complex operations, including a vector database manager for configuring embeddings and similarity searches, a query workbench for executing raw commands and Lua scripts, and a performance monitoring dashboard for tracki
Enables inserting, deleting, and retrieving elements from array data structures using indices and predicates.
This project serves as a comprehensive educational repository and technical reference collection, documenting a wide range of software engineering practices and modern development technologies. It provides a structured learning path for developers, curating tutorials and practical examples that cover the full lifecycle of application development, from initial project scaffolding to deployment and maintenance. The repository distinguishes itself by offering deep technical insights into complex architectural patterns, including actor-based concurrency models for managing parallel tasks and cont
Provides typed and generic array structures to store ordered lists of data with support for type-safe iteration.
1loc is a JavaScript utility library and multifaceted toolkit providing a collection of single-line functions for common mathematical, string, date, and geometric operations. It functions as a set of functional programming helpers and data validation predicates designed to perform atomic transformations and validations. The project includes a geometry math library for calculating distances, angles, and spatial overlaps between points and rectangles, alongside a text manipulation library for casting, capitalizing, and analyzing string content. The toolkit covers broader capability areas inclu
Provides tools for converting values to arrays and detecting duplicate entries within collections.
collect.js is a dependency-free JavaScript library that provides a fluent, chainable interface for manipulating arrays and objects. It mirrors the Laravel Collection API, offering a consistent set of methods for data transformation across JavaScript and Laravel backend environments. The library stores collection data as plain arrays internally and supports fluent method chaining, where each method returns a new collection instance. The library distinguishes itself by closely replicating the Laravel Collection API in JavaScript, mapping each PHP method to an equivalent JavaScript implementatio
Provides a fluent, chainable API for manipulating arrays and objects, mirroring Laravel Collections.
Swift Algorithms is a library of sequence and collection algorithms for Swift, providing operations for splitting, cycling, combining, and sampling collections with lazy evaluation. It extends Swift's standard library with algorithms that work across all types conforming to Sequence and Collection protocols, enabling efficient data processing without intermediate storage. The library specializes in combinatorial enumeration, generating all possible permutations, combinations, and product sequences from collections for testing and exploration. It also includes utilities for splitting collectio
Provides a library of collection algorithms for splitting, cycling, combining, and sampling Swift collections.
RediSearch is a Redis module that adds secondary indexing, full-text search, aggregation, and vector similarity search directly into the in-memory data store. It operates as an in-process search engine, extending the core key-value store with capabilities for indexing hash and JSON documents, enabling fast field-level lookups beyond primary key access. The module provides a full-text search engine built on inverted indexes, supporting stemming, fuzzy matching, and relevance scoring via tf-idf. It also includes a vector similarity search engine using a Hierarchical Navigable Small World graph
Reads, writes, inserts, and deletes elements at specific indices or ranges within array data structures.
Covers Bash-specific array syntax for storing, accessing, slicing, and modifying indexed collections.
这是一个 JavaScript 不可变数据库,用于创建防止直接修改的对象和数组。它作为一个不可变状态管理器和对象包装器,通过阻止修改来确保数据一致性,同时保持与标准 JavaScript 语法的兼容性。 该库的功能类似于转换器,可将标准可变数据转换为冻结结构,并在需要本地修改时将其转回。这种工作流允许在不可变和可变版本之间切换数据,以便在再次锁定状态前进行批量编辑。 该项目提供了嵌套数据转换功能,包括基于路径的更新、对象深度合并以及在深层结构中查询值。它还支持数组到对象的转换、通过谓词移除属性,以及检测结构是否为不可变的能力。
Wraps standard JavaScript collections to block direct modifications and ensure data consistency.
Radash 是一个 TypeScript 函数式实用工具库,专为数据转换、验证和工作流管理而设计。它提供了一系列类型化的辅助函数来操作数组、对象和字符串。 该项目具有用于管理 Promise、重试和并发限制的异步工作流工具包,以及一套用于验证原始类型、对象和 Promise 的布尔验证器。它还实现了函数式编程模式,如函数组合、偏函数应用和错误优先响应模式。 该库涵盖了广泛的功能,包括具有深克隆和合并的对象状态管理、复杂的数组操作和字符串格式化。它还提供了用于执行优化的工具,如速率限制和结果缓存。
Ships utilities for sorting, summing, and finding extrema in arrays using property extractors.