Open Source Parser Generators - Page 4
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Parser Generators
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Lemon++ is clone of the Lemon LALR parser generator, written by Dr. Richard Hipp ( http://www.hwaci.com/sw/lemon/ ). It adds support for C++, for example user is not limited to POD types.
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Lemonade 0.01 An Lalr Parser Generator for "D" (www.digitalmars.com) Based on Lemon 1.0 Ref: http://www.hwaci.com/sw/lemon/
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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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Marid
Free data acquisition and data visualization cross-platform software
Marid is a cross-platform data acquisition and visualization software intended to build complex and hierarchical data acquisition systems. The base concepts of its architecture include: * Graphical deploy configuration builders * Powerful Groovy scripting language * Embedded database ( H2 , HSQLDB) to store data * Cross-platform design (write once, run anywhere) * Embedded GUI-configurable binary/ascii device protocol parser/generator * Deploy manager to deploy firmwares to remote controllers/servers via secure channel * Embedded web-sever * Dynamically linked plugins available from Nexus Repository * Remote monitoring tools * Modular Marid IDE to manage them all -
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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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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Annotation based lexer and parser generator suitable for processing wide range of languages, from small domain specific languages to big ones like Java. Actions may be written directly as annotated java methods. Examples of expression language and Java5.
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Many Tools: PHP-based context-free grammar (CFG) parser generator, simple scanner generator, and nascent object relational mapping/query language in PHP. Talks to Postgres, MySQL for now. Needs PHP5. Comes with (relies on) many convenience functions.
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Mocker++
C++ Mock object with automatic generator
Unlike Java or other languages where reflection / introspection is available, mocking is not easy with C++. Even with Google Mock, we need some hand writing. I solved this problem by using home made class definition parser/generator that reads the class definition (header file), then generates a mock class. What you need is to run the generator and full featured mock class is there for your unit test. ---- How to use: You need Ruby. Obtain it if you don't have it yet. Go to https://sourceforge.net/p/mockerplusplus/code/ci/master/tree/ Download everything except copy-tools.sh (which is for my internal use) (You can also skip unittest/ if you are not interested) doc/ folder contains a documentation that explains Mocker++ Code samples (unit test codes) are found in 'unittest/MockerppTest' -
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Mocker++11
C++ Mock object auto generator
Unlike Java or other languages where reflection / introspection is available, mocking is not easy with C++. Even with Google Mock, we need some hand writing. I solved this problem by using home made class declaration parser/generator that reads the class declaration (header file), then generates a mock class. What you need is to run the generator and full featured mock class is there for your unit test. ---- How to use: You need Ruby. Obtain it if you don't have it yet. Get Tools At your convenient directory: git clone https://git.code.sf.net/p/cpp-tools-in-ruby/code tools Get Mocker++11 git clone https://git.code.sf.net/p/mockerplusplus11/code mocker++ Run it Change directory to mocker++ ./Mocker++ --help (On Mac/Unix, you may need to run dos2unix) Code samples (unit test codes) are found in 'unittest/MockerppTest -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Monkey is a scanner and a LR(1) parser generator for object oriented languages. The platform on wich it runs is Java.
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More Than Parsing is a parser generator for context free grammars defined in a BNF-like format. It generates scanners, parsers, ASTs, etc. This sf project is no longer active, development will continue in a different place.
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NSqlParser is the .net version about JSqlParser project,usually,its used for parse and transform a SQL statement into c# classes. As we know,The JSqlParser(see http://jsqlparser.sourceforge.net/) is a very simple and intelligence tool which can parse SQL statement and translate it into a hierarchy of Java classes. This great assembly is based on another smart and famous assembly whoes name is 'javacc'. Now I build this c# project which is based on JSqlParser project .Notably,the JSqlParser is based on javacc, but the NSqlParser is based on another semantic analyzer whoes name is 'MinosseCC'(see http://www.codeproject.com/Articles/11632/MinosseCC-a-lexer-parser-generator-for-C), For c# Grammar,I modified the file 'JSqlParserCC.jj', now his name is 'NSqlParserCC.jj', Obvious, the other code files also I have changed. And please remember this, This project is free for you, And including any commercial behavior.
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Nearley
Simple, fast, powerful parser toolkit for JavaScript
Nearley is a powerful and flexible parser generator for JavaScript, capable of parsing complex grammars and languages, making it suitable for building compilers, interpreters, and data processors. -
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OFD.NET is a project to create an Open Flash Debugger in C#, plus other tools targeting flash technology and especially actionScript. There are plans for a swf parser/generator, an AS3 compiler, a decompiler, etc.
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OOPSGen
Object Oriented Parser Generator
The goal of this project is to create a simple and easy to use parser generator that will accept a textual grammar file as an input and output modularized classes representing a limited parser interface. Long term goals include a robust grammar file syntax, output suitable for multiple programming languages, and tools for better integrating compiler functionality, parse tree manipulation, and FSM based scanner generation. -
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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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PEG.js
PEG.js is a parser generator for JavaScript
PEG.js is a simple parser generator for JavaScript that produces fast parsers with excellent error reporting. You can use it to process complex data or computer languages and build transformers, interpreters, compilers and other tools easily. PEG.js is still very much work in progress. There are no compatibility guarantees until version 1.0. Based on parsing expression grammar formalism, more powerful than traditional LL(k) and LR(k) parsers. Usable from your browser, from the command line, or via JavaScript API. -
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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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PackCC
A packrat parser generator for C
PackCC is a packrat parser generator for C, which can handle PEGs (Parsing Expression Grammars) very efficiently, and can support direct and indirect left-recursive grammar rules. -
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ParGeL is an LALR(k) parser generator, which allows creation of inheritable parsers in runtime and compile time environments. ParGeL is written 100% in Java.
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Parser Generator
It is an LL(1) recursive descent parser generator in VB.NET
It is an LL(1) recursive descent parser generator written in VB.NET which can generate a scanner, parser, and parsetree file in either C# , Java or VB code. The original code and documentation can be found in the article 'A Tiny Parser Generator v1.2' on CodeProject. Requires dotNet2.0 -
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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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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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Queryparser
Parsing and analysis of Vertica, Hive, and Presto SQL
Queryparser is Uber’s open source Haskell library for parsing and analyzing SQL queries written in different dialects (Vertica, Hive, Presto). It creates a unified AST and supports name resolution using catalog metadata, enabling large-scale query analysis for lineage detection, analytics, and tooling. The parsing logic produces an AST with table and column identifiers that are "raw" or optionally qualified. Frequently, it is desirable to convert the AST over raw names to an AST over resolved names, where identifiers are fully qualified. This transformation is called "name resolution" or simply "resolution". It requires as input the full list of columns in every table and the full list of tables in every schema, otherwise known as "catalog information". The parsing logic produces an AST with table and column identifiers that are "raw" or optionally qualified. -
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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.
