Open Source Windows Parser Generators
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Parser Generators for Windows
View 1957 business solutionsBrowse free open source Parser Generators and projects for Windows below. Use the toggles on the left to filter open source Parser Generators by OS, license, language, programming language, and project status.
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Win flex-bison
Win flex-bison is a port Flex & Bison tools to the Windows platform
Win flex-bison is a windows port the Flex (the fast lexical analyser) and Bison (GNU parser generator). win_flex based on Flex version 2.6.3 source code and win_bison based on Bison version 2.7 and they depend on system libraries only. Git repository: https://github.com/lexxmark/winflexbison UPDATE1: Bison version 3.x.x available in Files section in win_flex_bison3-latest.zip package. UPDATE2: Now "winflexbison" available as package in Chocolatey (https://chocolatey.org/packages/winflexbison and https://chocolatey.org/packages/winflexbison3) UPDATE3: You can use VS custom build rules to simplify working with winflexbison in Visual Studio 2010 and upper (https://sourceforge.net/p/winflexbison/wiki/Visual%20Studio%20custom%20build%20rules/). -
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ANTLR
Parser generator to read, process, or translate structured text
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. It's widely used to build languages, tools, and frameworks. From a grammar, ANTLR generates a parser that can build and walk parse trees. It’s widely used in academia and industry to build all sorts of languages, tools, and frameworks. Twitter search uses ANTLR for query parsing, with over 2 billion queries a day. The languages for Hive and Pig, the data warehouse and analysis systems for Hadoop, both use ANTLR. Lex Machina uses ANTLR for information extraction from legal texts. Oracle uses ANTLR within SQL Developer IDE and their migration tools. NetBeans IDE parses C++ with ANTLR. The HQL language in the Hibernate object-relational mapping framework is built with ANTLR. -
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body-parser
Node.js body parsing middleware
Node.js body parsing middleware. Parse incoming request bodies in a middleware before your handlers, available under the req.body property. As req.body's shape is based on user-controlled input, all properties and values in this object are untrusted and should be validated before trusting. For example, req.body.foo.toString() may fail in multiple ways, for example the foo property may not be there or may not be a string, and toString may not be a function and instead a string or other user input. The bodyParser object exposes various factories to create middlewares. All middlewares will populate the req.body property with the parsed body when the Content-Type request header matches the type option, or an empty object ({}) if there was no body to parse, the Content-Type was not matched, or an error occurred. -
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RapidJSON
A fast JSON parser/generator for C++ with both SAX/DOM style API
RapidJSON is a JSON parser and generator for C++. It was inspired by RapidXml. RapidJSON is small but complete. It supports both SAX and DOM style API. The SAX parser is only a half thousand lines of code. RapidJSON is fast. Its performance can be comparable to strlen(). It also optionally supports SSE2/SSE4.2 for acceleration. RapidJSON is self-contained and header-only. It does not depend on external libraries such as BOOST. It even does not depend on STL. RapidJSON is memory-friendly. Each JSON value occupies exactly 16 bytes for most 32/64-bit machines (excluding text string). By default it uses a fast memory allocator, and the parser allocates memory compactly during parsing. RapidJSON is Unicode-friendly. It supports UTF-8, UTF-16, UTF-32 (LE & BE), and their detection, validation and transcoding internally. For example, you can read a UTF-8 file and let RapidJSON transcode the JSON strings into UTF-16 in the DOM. It also supports surrogates and "\u0000" (null character). -
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C#Prolog
C#Prolog -- A Prolog interpreter written in managed C#
C#Prolog -- A Prolog interpreter written in C#. Can easily be integrated in C# programs. Characteristics: reliable and fairly fast interpreter, command line interface, Windows-interface, builtin DCG, XML- and JSON-predicates, SQL-predicates, extendible. -
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SableCC is a parser generator which generates object-oriented frameworks for building compilers, interpreters and other text parsers. SableCC keeps a clean separation between machine and user code which leads to a shorter development cycle.
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COBOL copybook to XML converter
Converts cobol copybooks to Xml/Java objects
CB2XML (CopyBook to XML) is a COBOL CopyBook to XML converter written in Java and based on the SableCC parser generator. This project includes utilities to convert an XML instance file into its COBOL copybook equivalent string buffer and vice versa. Source is now available in GitHub: https://github.com/bmTas/cb2xml -
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MLton
A whole-program optimizing compiler for Standard ML
MLton is a whole-program optimizing compiler for Standard ML. MLton generates small executables with excellent runtime performance, utilizing untagged and unboxed native integers, reals, and words, unboxed native arrays, fast arbitrary-precision arithmetic based on GnuMP, and multiple code generation and garbage collection strategies. In addition, MLton provides a feature rich Standard ML programming environment, with full support for SML97 as given in The Definition of Standard ML (Revised), a number of useful language extensions, a complete implementation of the Standard ML Basis Library, various useful libraries, a simple and fast C foreign function interface, the ML Basis system for programming with source libraries, and tools such as a lexer generator, a parser generator, and a profiler. -
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Portable Executable Parser
lightweight Go package to parse, analyze and extract metadata
Saferwall PE is a lightweight Go package for parsing, analyzing, and extracting metadata from Portable Executable (PE) binaries. Designed with malware analysis in mind, it is robust against malformed PE files and provides detailed insights into executable structures. -
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Ox: Attribute Grammar Compiling System
Ox is an attribute-grammar evaluator generator.
Ox is an attribute grammar compiling system that augments Lex and Yacc specifications with definitions of synthesized and inherited attributes written in a combination of Ox and C/C++ syntax. From these augmented specifications, Ox generates ordinary Lex and Yacc specifications that build and decorate attributed parse trees. The user can specify parse-tree traversals for easy ordering of side effects such as code generation. Ox handles the tedious and error-prone details of writing code for parse-tree management, so its use eases problems of security and maintainability associated with that aspect of translator development. -
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JSON Parser
JSON Parser written in C that outputs JSON into D-List list objects
JSON parser is a highly efficient JSON data decoder written in C, that parses JSON data into a form that is very easy to use from within C code. You only need to include the json-parser.h file in your source code. If your project does not already incorporate D-List, you will also need to include dlist.h The JSON parser package also includes a JSON validator that does not parse or create resources, but allows the caller to validate JSON data from unknown sources, prior to any parsing attempts. The JSON data is returned to the caller as a set of hierarchical D-List list objects, that make the data very easy to manage, sort, search or use, and easy to remove when done. Package includes a JSON textural generator which will create JSON grammar data blocks from hierarchical D-List representations of JSON data. The package also includes a variety of support functions to allow C code to easily find, add, and modify JSON values and members in D-List hierarchical structures. -
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This project has moved to GitHub ! The version here at SourceForge will remain for historic purpose. Koopa is a parser generator, made for COBOL. It can handle source files in isolation (no preprocessing required) and doesn't mind the presence of CICS/SQL fragments. The grammar is easily extensible in a way which minimizes the impact on the overall code.
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Developer tools for EXPRESS (ISO 10303-11), an information modeling language. The core of this project is a Java Express parser using the ANTLR parser generator. This project was initiated by the National Institute of Standards and Technology.
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CppCC is an object-oriented scanner and LL(k) parser generator. It aims to replace LEX&YACC for those who write C++ applications that involve parsing.
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soulng
Lexer and parser generator tool for C++
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 spg tool takes .parser files that contain descriptions of parsers as input and produces C++ source code for parser classes as output. The parser generator produces a recursive descent top-down backtracking parser that use the lexical analyzer generated by slg to tokenize the input. -
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BNF for Java is a BNF Compiler-Compiler, or Parser-Generator. It implements ISO Standard Backus-Naur Format, using Java. BNF allows you to create a syntax, or a complete language, to parse your data source. Your custom Java extensions generate output.
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Spirit is an object oriented recursive descent parser generator framework implemented using template meta-programming techniques.
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A runtime parser generator library, generates parsers for context-free grammars. Parsing scripting languages and communication protocol messages are typical use cases. The library is written in straight C++ and requires STL. Clean, correct, efficient.
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JCompiler
Mini Python Compiler written in Java
Open source mini Python compiler written in Java using Sablecc as parser generator. -
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UML 2 Statemachine for C++
UML 2 Statemachine for C++ is a development framework with DSL support
UML 2 Statemachine Code Generator is a developer framework for an easy implementation of statemachine based applications. Here, with this framework only one Domain-specific language (DSL) specification is necessary to create executable codes for Linux, Mac OS X, and Microsoft Windows. With this framework you save a lot of time and effort during implementation; also you have an always valid - based on a well-defined C++ standard - generated code with high quality. -
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ANTLR is a well-known parser generator . It can generate parsers in several languages. This project provides the templates to produce D code and a D runtime library for running the created parser. It requires ANTLR tool. Use svn to get D target. One example is included. This target works with ANTLR 3.4
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Adaptive Parser Generator
Parser Generator
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Angstrom
Parser combinators built for speed and memory efficiency
Angstrom is a parser-combinator library in OCaml designed for high-performance applications. It provides monadic and applicative interfaces for composing parsers and supports incremental input processing. -
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Apt Parsing Tools (APT) is a toolkit of applications for compiler writing that make use of modern software development techniques and written in C. There are 3 major tools included: a lexical scanner generator, a parser generator, and a tool to generate m
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Argh
Rust derive-based argument parsing optimized for code size
argh is a tiny, pragmatic command-line argument parsing library that favors simple, readable code over elaborate configuration. It’s designed for the case where you just want to declare a few flags, accept some positional arguments, and print helpful usage text without wiring up a heavy framework. The API is intentionally compact so you can parse arguments inline near main() and map them straight into native types. It supports short and long options, boolean switches, and key–value flags while keeping error messages and help output understandable for end users. Subcommands can be modeled without much boilerplate, letting you structure larger CLIs while keeping each command self-contained. The overall feel is “get out of your way”: minimal setup, zero magic, and a straightforward path from argv to validated inputs.
