New customers can spin up VMs, build with AI, and query data at no cost.
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Start Free
Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini 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.
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.
Parse C++ header files using ply.lex to generate navigable class tree representing the class structure. CppHeaderParser.py has the advantage of being a pure python C++ header parser. Grap a copy of ply at http://www.dabeaz.com/ply/
A parser generator derived from ANTLR with JavaCC like (but not the same) syntax and some new features. It also comes with sample grammars for CSharp, Java, GnuC, Html, XHtml, Xml, ECMA262... etc.
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Pure Python implementation of GOLD Parser Engine.
GOLD Parser Engine is a LALR(1) parser with DFA tokenizer.
It uses compiled grammar table generated by GOLD Parser Builder (not included - available on http://www.devincook.com/goldparser)
JavaCCCS is a port of JavaCC to generate C# code instead of Java. JavaCCCS is a compiler compiler, i.e. given a grammar file it generates a parser for it that can then be used directly or by other applications.
This project is a parser generator, like the lex and yacc, but is based on the
JavaCC grammar.
It was writing in c++, run on linux and dos, and don't use another library.
The grammar parser is specified through a simple file, and the parser
generated
PM2HTML takes PageMaker files and makes a cohesive newspaper website. It comprises a PMScript that exports all stories to a directory of tagged txts, and a python program to act as a converter to turn those tagged text files into HTML, a parser to guess
The aim is to develop a framework to translate UIML (User Interface Markup Language) description of UI into a number of plaforms (wxPython, HTML, etc.).
Dynamic and "static" (into a program) rendering implied.