Open Source Linux Parser Generators
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Parser Generators for Linux
View 1234 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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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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GJSON
Get JSON values quickly, JSON parser for Go
GJSON is a Go library designed for extremely fast, allocation-free retrieval of values from JSON documents. It enables you to query nested JSON structures using one-liner dot-notation or array-based paths and includes wildcard and comparison operators. The library is optimized for speed and zero allocations, benchmarking significantly faster than Go’s standard encoding/json unmarshal approaches. It supports parsing JSON lines (newline-delimited JSON) as an array for large stream processing. GJSON also provides modifiers (such as @reverse, @flatten, @keys) which allow transformation or inspection directly via the path syntax. Because it works on raw bytes or strings, it's suited for high-performance JSON parsing without needing to define Go struct types. -
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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UniCC LALR(1) Parser Generator
Parser generator, targetting C, C++, Python, JavaScript, JSON and XML
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. -
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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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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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upgen is a scanner and parser generator, which can generate parser programs in C++, Object Pascal, ...
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A simple way to create a syntax highlighting editor for a custom language/grammar and/or create custom grammar parsers. This is a .NET project written in C#. See details here: http://acct001.com/wordpress/?p=190
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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 universal parsing tool and source code generator for generative programming. It extracts useful information by parsing (BNF parser generator) and generates source code by several techniques, by interpreting a scripting language for flexibility.
