Open Source Linux Parser Generators
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Parser Generators for Linux
View 1291 business solutionsBrowse free open source Parser Generators and projects for Linux 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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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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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. -
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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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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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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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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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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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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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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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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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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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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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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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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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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. -
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fastjson
A fast JSON parser/generator for Java
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. -
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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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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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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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rjsx-mode
A JSX major mode for Emacs
rjsx-mode is an Emacs major mode derived from js2-mode, tailored for editing JSX files. It extends the parser to support full JSX syntax, providing features like syntax highlighting, indentation, and error checking for React development. -
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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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Genparse is a command line parser generator. Based on a simple description of the command line options you want in your program, genparse creates the necessary C, C++ or Java code for their processing.
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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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Lapg is the combined lexical analyzer and parser generator, which converts a description for a context-free LALR grammar into source file to parse the grammar. Generates code for Java, Javascript, C, C++ and C#.
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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.
