awesome-repositories.com
博客
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目关于排名机制媒体报道MCP 服务器
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

4 个仓库

Awesome GitHub RepositoriesCapture Group Implementation

Using grouped subpatterns to extract text for use in programming languages.

Distinct from Text Pattern Matching: Focuses on the extraction capability of groups rather than general text pattern discovery.

Explore 4 awesome GitHub repositories matching data & databases · Capture Group Implementation. Refine with filters or upvote what's useful.

Awesome Capture Group Implementation GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • ziishaned/learn-regexziishaned 的头像

    ziishaned/learn-regex

    46,092在 GitHub 上查看↗

    This project is a regular expression learning resource and tutorial designed to teach the syntax and logic used to find, match, and manipulate text strings. It serves as a comprehensive guide and syntax reference for building complex search queries and data validation logic. The material covers the use of meta-characters, quantifiers, and boundary markers to define precise text match patterns. It includes instructional content on the logic of greedy and lazy matching, as well as the implementation of capture groups. The resource details a wide range of pattern matching capabilities, includin

    Details how to capture text within grouped subpatterns for use in applications.

    learn-regexregexregular-expression
    在 GitHub 上查看↗46,092
  • mawww/kakounemawww 的头像

    mawww/kakoune

    10,938在 GitHub 上查看↗

    Kakoune is a scriptable, modal text editor for the terminal that employs a client-server architecture. This model allows multiple terminal windows to connect to a single editing session, providing a programmable environment for managing source code and text. The editor is distinguished by its selection-first logic, where a text region must be predefined before a command is applied. It leverages regular expressions to manage multiple cursors and perform bulk edits across complex text patterns, and it integrates deeply with the shell by piping selections through external programs and filters.

    The editor stores grouped sub-matches from a search into indexed registers.

    C++
    在 GitHub 上查看↗10,938
  • google/re2google 的头像

    google/re2

    9,699在 GitHub 上查看↗

    re2 is a C++ regular expression library designed for high-performance text processing. It is a non-backtracking regex engine that provides linear-time pattern matching, ensuring that execution time remains proportional to the size of the input string regardless of the pattern used. The library supports UTF-8 and Latin-1 text encodings for searching and extracting substrings. It includes capabilities for multi-pattern optimization, allowing multiple regular expressions to be combined into a single representation to scan text for several patterns in one pass. The project covers core regex oper

    Supports capturing specific substrings from text using named or numbered regular expression grouping expressions.

    C++
    在 GitHub 上查看↗9,699
  • talater/annyangTalAter 的头像

    TalAter/annyang

    6,814在 GitHub 上查看↗

    Annyang is a speech recognition library and web speech API wrapper that enables the integration of voice command interfaces into websites. It functions as a browser-based voice controller, mapping spoken phrases and regular expressions to specific JavaScript functions to trigger application actions. The library provides mechanisms for voice command mapping and simulation, allowing developers to associate spoken text with executable callbacks. It includes tools for command variable extraction using regular expression capture groups, which allows specific words from a spoken phrase to be passed

    Uses regex capture groups to extract specific words from spoken phrases as arguments for functions.

    TypeScript
    在 GitHub 上查看↗6,814
  1. Home
  2. Data & Databases
  3. Text Pattern Matching
  4. Capture Group Implementation