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Chatette is a Python-based tool for generating training datasets for Natural Language Understanding (NLU) models, particularly those used with Rasa NLU. It employs a domain-specific language to define templates, enabling the creation of diverse and extensive training examples for intent classification and entity recognition.​

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.

Native C++ implementation of a JSON library. Contains a Parser, a Generator and and easy-to-use Navigator in one single class. To build you will need at least a C++11 capable compiler such as MSVC 10 (express edition). There is no other 3rd party library required to compile or run it.

ua-parser is a multi-language library for parsing User-Agent strings into structured data, such as browser, OS, and device information. Originally created for web analytics and user tracking, it supports a wide range of platforms and is available in JavaScript, Python, Java, and other languages. ua-parser is often used in server logs, analytics dashboards, and A/B testing systems to segment traffic.

Open source mini Python compiler written in Java using Sablecc as parser generator.

Waxeye is a parser generator based on parsing expression grammars (PEGs). It supports C, Java, Javascript, Python, Ruby and Scheme.

Python EBNF parser generator for use with mx.TextTools

Berkeley Yacc is an LALR(1) parser generator. Berkeley Yacc has been made as compatible as possible with AT&T Yacc. Berkeley Yacc has been extended to generate Python, Perl and Java code.

Elcc is an Earley parser generator written in Python and compatible with Yacc/Bison Syntax.