Search Results for "regular expression parser"

rust-peg is a Parsing Expression Grammar (PEG) parser generator for Rust. It allows developers to define grammars in a concise syntax and generates efficient parsers, facilitating the creation of domain-specific languages and interpreters.​

The SoulNG project contains two tools: a lexical analyzer generator slg and a parser generator spg. The generators and the produced lexical analyzers and parsers use four C++ libraries that are also included in the project. The slg tool takes a .lexer file that contains the description of a lexical analyzer as input and produces C++ source code for a lexical analyzer as output. The produced lexical analyzer is a finite state machine that recognizes patterns described as regular expressions and return corresponding token identifiers to the parser. ...

...The grammar specifies identifiers for nodes in the abstract syntax tree, and the identifiers for tokens. It generates Fortran declarations for tree node identifiers and named constants that represent the PDA. The lexer generator accepts regular expressions and generates a DFA. It generates Fortran declarations for character classes, recognized objects, named constants that represent the DFA. A third program generates declarations that connect the parser and lexer. The LR parser generator and lexer generator both use parsers and lexers generated by themselves. An infrastructure to use a generated lexer and parser is therefore included as part of these programs.

react-native-parsed-text is a React Native component that enables parsing and styling of substrings within a text block. It allows developers to identify patterns like URLs, phone numbers, or emails and apply custom styles or actions to them.​

This project has moved to https://github.com/jplevyak/dparser The master on github is the stable. Please pull that for the very latest code. DParser is a scannerless GLR parser generator based on the Tomita algorithm. It is self-hosted and very easy to use. Grammars are written in a natural style of EBNF and regular expressions and support both speculative and final actions.

PEG.js is a simple parser generator for JavaScript that produces fast parsers with excellent error reporting. You can use it to process complex data or computer languages and build transformers, interpreters, compilers and other tools easily. PEG.js is still very much work in progress. There are no compatibility guarantees until version 1.0. Based on parsing expression grammar formalism, more powerful than traditional LL(k) and LR(k) parsers.

IronMeta is an implementation of Alessandro Warth's OMeta metaprogramming system in C#. It provides a packrat parser generator that generates parsers for Parsing Expression Grammars that operate on arbitrary streams of objects.

PackCC is a packrat parser generator for C, which can handle PEGs (Parsing Expression Grammars) very efficiently, and can support direct and indirect left-recursive grammar rules.

Waxeye is a parser generator based on parsing expression grammars (PEGs). It supports C, Java, Javascript, Python, Ruby and Scheme.

The Chilon Library is a C++0x utility library. The most advanced parts are a command-line argument parser and a parser generator library based on parsing expression grammars with built in AST generation abilities.

A parser generator based on parsing expression grammar rules. It generates code and accepts actions in LLVM Assembly rather than C like its predecessor, PEG, did.

A backtracking (non-packrat) parser generator for parsing expression grammars. The parsers are generated at run-time using the LLVM JIT compilation engine.

Annotation based lexer and parser generator suitable for processing wide range of languages, from small domain specific languages to big ones like Java. Actions may be written directly as annotated java methods. Examples of expression language and Java5.