Open Source Parser Generators
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Parser Generators
View 6281 business solutionsBrowse free open source Parser Generators and projects 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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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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PSD.js
A Photoshop PSD file parser for NodeJS and browsers
psd.js is an open-source JavaScript library (CoffeeScript/JS) for reading and parsing Adobe Photoshop PSD files in both Node.js and web browsers. It reconstructs the document into a DOM-like tree with layers, masks, text metadata, vector information, and pixel data. It enables developers to traverse layer structures, extract flattened or individual image buffers, and integrate PSD assets programmatically in web or backend applications. -
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tree-sitter
An incremental parsing system for programming tools
Tree-sitter is a parser generator tool and an incremental parsing library. It can build a concrete syntax tree for a source file and efficiently update the syntax tree as the source file is edited. General enough to parse any programming language. Fast enough to parse on every keystroke in a text editor. Robust enough to provide useful results even in the presence of syntax errors. Dependency-free so that the runtime library (which is written in pure C) can be embedded in any application. All of Tree-sitter’s parsing functionality is exposed through C APIs. Applications written in higher-level languages can use Tree-sitter via binding libraries like node-tree-sitter or the tree-sitter rust crate, which have their own documentation. To build the library on a POSIX system, just run make in the Tree-sitter directory. This will create a static library called libtree-sitter.a as well as dynamic libraries. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Meriyah
A 100% compliant, self-hosted javascript parser
Meriyah is a high-performance, fully compliant JavaScript parser that generates ESTree-compatible Abstract Syntax Trees (ASTs). Designed for speed and stability, it serves as an alternative to parsers like Acorn and Esprima. -
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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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getoptions
An elegant option/argument parser for shell scripts
getoptions is a POSIX-compliant shell script library designed to simplify command-line option parsing. It provides an elegant and extensible way to handle both short and long options in shell scripts without relying on external dependencies. -
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Chevrotain
Parser Building Toolkit for JavaScript
Chevrotain is a powerful and fast parser-building toolkit for JavaScript. It supports the construction of LL(k) parsers and is suitable for building interpreters, compilers, and DSLs. -
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Parser for Rust source code
Parser for Rust source code
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. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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DanmakuFlameMaster
Open source barrage analysis and drawing engine project
Use multiple methods (View/SurfaceView/TextureView) to achieve efficient drawing. Analysis of xml barrage format at station B. The basic barrage accurately restores the drawing. Supports mode7 special barrage. Multi-core model optimization, efficient pre-caching mechanism. Supports multiple display effect options for real-time switching. Real-time barrage display support. Wrap Barrage Support/Sport Barrage Support. Supports custom fonts. Supports multiple barrage parameter settings. Supports multiple methods of barrage shielding. Download the latest version or grab via Maven or Gradle. -
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JSON-Machine
Efficient, easy-to-use, and fast PHP JSON stream parser
json-machine is an efficient and easy-to-use PHP JSON stream parser. It enables processing of large JSON files or streams without loading the entire content into memory, making it suitable for memory-constrained environments. -
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League CommonMark
Highly-extensible PHP Markdown parser
CommonMark is a PHP library that implements the CommonMark Markdown specification, allowing developers to convert Markdown into HTML. It provides a robust and extensible parser with support for additional syntax and extensions. The library is designed to be efficient and standards-compliant, making it ideal for applications that require consistent and reliable Markdown processing. -
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Logos
Create ridiculously fast Lexers
Logos is a lexer generator for Rust, designed to create fast and efficient lexers with minimal code. It leverages Rust's procedural macros to define token patterns, streamlining the process of lexical analysis. -
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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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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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React-Native-Parsed-Text
Parse text and make them into multiple React Native Text elements
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. -
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Rust-Peg
Parsing Expression Grammar (PEG) parser generator for Rust
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. -
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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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Optimize JS
Optimize a JS file for faster parsing
Optimize JS is an experimental JavaScript transformation tool created to reduce initial parsing and execution time in older browser engines. It parses JavaScript into a syntax tree and identifies functions that are immediately invoked or likely to execute eagerly. Those functions are wrapped in parentheses so engines such as older V8 versions can avoid unnecessary lazy preparsing. The tool can operate from the command line or through a JavaScript API and can optionally generate source maps. Plugins were also created for Grunt, Gulp, and webpack workflows. Historical benchmarks showed improvements in several older browsers, but results varied significantly by engine and workload. The project is unmaintained, and its author and the V8 team now advise against assuming the technique benefits modern browsers.