Open Source Parser Generators

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/).

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.

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.

Parser for Rust source code is a major Rust crate for parsing Rust source code (token streams) into a syntax tree (AST) that procedural macros can inspect or transform. The primary target is macro authors: you can parse TokenStreams into syn::File, syn::Item, syn::Expr, syn::Type, etc. It offers rich data structures, fine-grained parsing, span tracking (for error reporting), traversal and mutation APIs (visit, fold, visit_mut), printing back to tokens, and strong feature-gating so you only compile what you need. The documentation emphasises that while the crate is geared for procedural macros (and custom derives), some of the APIs may be of more general use. Using syn you can effectively write code that analyzes or generates Rust code at compile time.

TFieldedText is a component which allows you to easily: generate and parse Fielded Text Files (eg. CSV files); and create and edit Fielded Text Meta files. For more information about the Fielded Text standard see http://www.fieldedtext.org

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

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.

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.

cojson is a C++ pull-type JSON parser/serializer for constrained platforms, such as bare metal applications on low-end MCUs. It does not use memory allocation and has almost no external dependencies. It is not intrusive – it neither forces nor implies any particular design of the application. Instead it adapts to fit any existing application code. It is tolerant to data type mismatching. When such occurs, parser just skips mismatching data and makes best efforts to continue parsing. The parser is recursive, e.g. nested JSON elements are handled with the recursion. However, this recursion is driven by the structure definition, not by the input data, which prevents stack faults on malformed input data. cojson is character type neutral – it can work with signed or unsigned character, as well as with standard wide character types: wchar_t, char16_t and char32_t. It is also transparent for UTF8 and properly handles BOM sequence.

Fastjson is a Java library that can be used to quickly convert Java Objects into their JSON representation or convert JSON strings to their equivalent Java object. Based on benchmarks it provides the best performance in both server side and Android client, and can work with arbitrary Java objects, even those pre-existing objects of which you do not have the source code. Fastjson provides a simple conversion method to turn Java objects to JSON and vice versa, with extensive support of Java Generics and arbitrarily complex objects.

Native C++ implementation of a JSON library. Contains a Parser, a Generator and and easy-to-use Navigator in one single class. To build you will need at least a C++11 capable compiler such as MSVC 10 (express edition). There is no other 3rd party library required to compile or run it.

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.