Open Source Code Generators

Kayacc is an alternate name for the TOMBO project. I am in the process of updating the Tombo project page with version 2.1.0. Please download Tombo2.1.0.tar.gz from the Files tab. Tombo is a compiler generation toolkit for constructing compilers and interpreters. It includes a BNF compiler that generates parsers for context free grammars, and a class library to support compiler development. The class library supports symbol tables, Unicode text manipulation, reserved word mappings, and translating between Unicode and byte oriented encodings. Tombo is an alternative for lex, yacc and Bison tools. Source can be browsed in git/code repository or src directory. Send e-mail to tombo@gekkoware.com for support

Community Z Tools Project (CZT): Tools for editing, typechecking and animating Z specifications and related notations. Includes a Java framework for building formal methods tools. NOTE: development of CZT has now moved to GitHub: https://github.com/community-z-users/czt

JPype is an effort to allow python programs full access to java class libraries. This is achieved not through re-implementing Python, as Jython/JPython has done, but rather through interfacing at the native level in both Virtual Machines. Maintenance and evolution of the project has moved! please see http://www.jpype.org for the latest version

An open source implementation of OpenAI's ChatGPT Code interpreter. Simply ask the OpenAI model to do something and it will generate & execute the code for you. You can put a .env in the working directory to load the OPENAI_API_KEY environment variable. For Azure OpenAI Services, there are also other configurable variables like deployment name. See .env.azure-example for more information. Note that model selection on the UI is currently not supported for Azure OpenAI Services.

DAVIS is an easy and useful language for IRC bots. This project contains our own bots, some bots for demonstration, a parser that creates Java, C, Perl and IRC-Script code out of a DAVIS file, and an interpreter for DAVIS files.

Pyexpander is a powerful macro processor based on python. Instead of simple macro replacement it offers evaluation of arbitrary python expressions and execution of python code. Pyexpander is Turing Complete.

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.

Object Tree, Virtual Machine and Compiler for Concatenative Languages, in a shared library - [This project is obsolete, and has been superseeded by the XCL suit, available at http://www.varkhan.net/software/xcl]

GLBCC is a front-end to the GNU Compiler Collection. GLBCC adds Liberty Basic to the GCC language collection so that Liberty Basic code can be compiled directly to an executable. Since GLBCC uses GCC, the object files can also be linked with object file

This project is dedicated to developing more readable format(s) for Lisp-based languages (such as Common Lisp and Scheme) and implementing those formats (readers, pretty-printers, editor macros, etc.). MIT license preferred, to spread them widely.

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.

NJS is an independent implementation of the JavaScript language developed by Netscape and standardized by ECMA. It is designed to be re-entrant, extendible, fast, and programmable.

Complete LALR(1) parser generator and engine (like BISON or YACC) but it's all done in PHP, and the input grammar is easier and more maintainable. Write your actions in PHP. Generate PHP output code. Drive your parser with PHP. Wanna make a language?

DelphiPHPForm is a small and simple Delphi DFM form interpreter written in PHP. The input is a Delphi DFM file saved in text mode. The output is a nicely formatted HTML code sent to file or rendered in a html browser at once.

Beaver is a LALR compiler compiler for Java that uses several techniques to generate very fast parsers.

A project to embed Lua on different hardware platforms. Currently ARM variants are targeted, but it should be possible to port it to any platform that is supported by the gcc+newlib combo. Platform access libraries will also be provided.

A graphical MUD server, running LPC scripts, using Sierra AGI-like graphics.

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.

Generate a parser at runtime from a collection of C++ objects. Concisely state a parser specification in ordinary C++ code. Learn from a parser generator with an object-oriented design.

The fast, flexible parsing engine. Parse anything in 4 steps: (1) define a grammar, (2) load the grammar into ClearParse, (3) call the engine to parse the source, and (4) traverse the parsing tree. You can even change your grammar at run time.

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.

Common Text Transformation Library of C++ classes and functions to parse and modify STL strings. CTTL substring classes may be compared, inserted, replaced, and parsed with EBNF grammars. Compiled program implements recursive descent LL(INF) parser.

Compose* is a project that aims at enhancing the modularization capabilities of component- and object-based programming. In particular, Compose* offers aspect-oriented programming through the composition filters model.

A Controlled Language Programming (CLP) compiler, runtime engine, and development IDE for writing software in a natural (but somewhat restricted) language that clearly represents the real world concerns and maps to a 3GL (Java/Groovy) for execution.

Metaprogramming: proof of the concept.