Projects sharing features with Recursiveregexpraptor 4

Hyperscan is a high-performance regular expression matching library that scans large volumes of data against thousands of patterns simultaneously. It accepts PCRE-compatible regular expressions and supports multi-pattern matching in a single pass, approximate matching within a configurable edit distance, and streaming mode for processing data that arrives in blocks. The library is designed for throughput-oriented scanning across block, streaming, and vectored inputs. What distinguishes Hyperscan is its hybrid automata engine, which combines deterministic and nondeterministic finite automata t

Perl-like regex =~ operator for Swift

regular expression library

A delightful and expressive regular expression type for Swift.

🔎 Plugin that adds support for regular expressions in Pawn

C++ regular expressions made easy

This is a regular expression library designed for the validation and identification of mobile phone numbers from mainland China. It provides the structural rules and digit constraints necessary to verify that phone numbers follow the correct regional format. The library includes specific patterns to determine the telecommunications provider based on regional prefixes. It also features filters to distinguish between standard voice numbers and IoT or data-only plans. The project covers broad data validation capabilities, including input format verification and carrier identification.

Perl Incompatible Regular Expressions library

Any-rule is a multi-platform regular expression tool that provides a curated catalog of over 70 ready-to-use patterns for validating and extracting common data formats. The project separates its static regex collection from editor-specific plugins, allowing the same pattern library to be accessed through VS Code, IntelliJ IDEA, Alfred Workflow, and a web interface. The tool enables keyword-based pattern retrieval, letting users search for the correct regex by typing descriptive terms rather than remembering exact syntax. It covers a broad range of validation needs including email addresses, U

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

Easily deal with Regex in Swift in a Pythonic way

Regular expressions for swift