STEP file parser for JavaScript/TypeScript, powered by OpenCascade and Rust/WASM
IFC/STEP parser for IFC-Lite
For internal use by code-surfer, but you can use it if you want. Just be aware that **it doesn't follow semantic versioning**, so pin the version just in case.
Node.js library for parsing crontab instructions
A JavaScript parser
Node.js body parsing middleware
A utility package to parse strings
the mighty option parser used by yargs
Parse binary files with a schema into nicely readable objects
An ESLint custom parser which leverages TypeScript ESTree
> Selector parser with built in methods for working with selector strings.
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Validate XML, Parse XML, Build XML without C/C++ based libraries
An inline style parser.
Detect Browser, Engine, OS, CPU, and Device type/model from User-Agent & Client Hints data. Supports browser & node.js environment
Streaming, source-agnostic EventSource/Server-Sent Events parser
A parser to Amazon Resource Names
A pure JS HTTP parser for node.
Range header field string parser
JavaScript parser, mangler/compressor and beautifier toolkit
Algorithms to help you parse CSS from an array of tokens.
Streaming HTML parser with scripting support.
Babel plugin which switches Babel to use the Hermes parser.
TypeScript definitions for yargs-parser
The RCTP object queue for moving compiler tokens with nestable backtrack capability.
JumpStart is a script runner and template parser written in Ruby with Ruby projects in mind. It should function equally well for any project where there are many configuration steps to get up and running.
The LL(k) Interpreted Parser (llip) is an automated tool to easily create an LL(k) parser and the related scanner without the need of generating anything. Everything is done on the fly through a simple DSL. == A Little comparrison against other tools Tools like JavaCC, ANTLR, Coco/R and others use an external description file which they compile into the destination code. This file it's usually written using a complex product related language. Using Ruby metaprogramming, a parser generator can go one step further. In fact, the llip gem gives you the possibility to write a parser writing only Ruby code.
==== QDox - http://qdox.codehaus.org QDox is a high speed, small footprint parser for extracting class/interface/method definitions from Java source files complete with JavaDoc @tags. It is designed to be used by active code generators or documentation tools. QDox is a Java library. Therefore this RubyGem needs JRuby. ==== Quickstart Step 1: Load your Java sources. In JRuby (or +jirb+) write: require 'qdox' builder = QDox::JavaDocBuilder.new builder.add_source_tree(java.io.File.new(".") (Source: http://qdox.codehaus.org/usage.html) Step 2: Inspect the source model. src = builder.sources.first pkg = src.package puts pkg.name # e.g. "com.bla.foo" imports = src.imports # => e.g. ["java.util.List", "java.util.Set"] some_class = src.classes.first # => a QDox::Model::JavaClass # output the javadoc comment for the first method in some_class puts some_class.methods.first.comment (Source: http://qdox.codehaus.org/model.html) As you may have noticed, the Java packages used have been aliased to shorter Ruby Module names: The Java package com.thoughtworks.qdox is the Ruby module QDox etc. ==== In a Nutshell A custom built parser has been built using JFlex and BYacc/J. These have been chosen because of their proven performance and they require no external libraries at runtime. The parser skims the source files only looking for things of interest such as class/interface definitions, import statements, JavaDoc and member declarations. The parser ignores things such as actual method implementations to avoid overhead (while in method blocks, curly brace counting suffices). The end result of the parser is a very simple document model containing enough information to be useful. ==== License Apache License, Version 2.0 QDox was created by Joe Walnes, Aslak Hellesoy, Paul Hammant, Mike Williams, Mauro Talevi, Robert Scholte, and others. The RubyGem was created by Benjamin Bock.
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