Search Results for "regex generator python"

SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages. SWIG is used with different types of target languages including common scripting languages such as Javascript, Perl, PHP, Python, Tcl and Ruby. The list of supported languages also includes non-scripting languages such as C#, D, Go language, Java, Lua, OCaml, Octave, R and Scilab as well as the Guile implementation of the Scheme language. SWIG is most commonly...

UniCC (UNIversal Compiler-Compiler) compiles an augmented grammar definition into a program source code that parses the described grammar. Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. Parsers can also be generated into JSON and XML.

Open source mini Python compiler written in Java using Sablecc as parser generator.

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

This project will help you to expose C++ libraries to Python. pygccxml package is an object oriented framework for reading C++ declarations. pyplusplus package is an object-oriented framework for creating a code generator for boost.python library.

Berkeley Yacc is an LALR(1) parser generator. Berkeley Yacc has been made as compatible as possible with AT&T Yacc. Berkeley Yacc has been extended to generate Python, Perl and Java code.

Chaperon is a LALR(1) parser, which parse structured text documents and generate XML documents as output. It includes a parser generator like yacc and a regex scaner like lex. As input use Chaperon a grammar written in XML.

RUG is an universal machine-friendly binary file generator. Together with suitable macro packages, it can be used to assemble executables for almost any known processor. The main goal is to build a backend for a future Scheme translator.