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This project is a static analysis engine designed to identify patterns, enforce coding standards, and automate code quality improvements in software projects. By parsing source code into structured abstract syntax trees, it enables deep programmatic inspection and the automated remediation of identified programming issues. The engine functions as a pluggable linting framework, allowing developers to extend its core capabilities through a modular architecture. Users can inject custom rules, parsers, and processors to support non-standard file formats or domain-specific logic. This extensibilit

This project provides an integration of Tree-sitter into the Neovim editor to enable structural code analysis. It serves as a framework for structural code navigation, context-aware syntax highlighting, and the management of language-specific parsers. The system distinguishes itself through a multi-language injection handler that identifies and parses embedded languages within a single document. It uses a dedicated parser manager to install, update, and remove grammar definitions and their associated query files. The tool covers several capability areas including incremental text selection,

TrumpScript is a Python-based domain specific language and compiler extension that wraps the Python runtime to enforce custom grammar and vocabulary rules. It transforms a specialized, case-insensitive vocabulary and natural speech patterns into executable Python instructions. The implementation distinguishes itself through strict constraints on source code, including a variable name system that restricts identifiers to a predefined whitelist and a numeric parser that rejects any integer not exceeding one million. It further utilizes a token-filtering preprocessor to remove filler words and n

This project is a comprehensive Lisp AI implementation library that provides reference implementations for various artificial intelligence paradigms and symbolic algorithms. It functions as a multi-purpose toolkit containing a logic programming engine, a natural language processing suite, and a symbolic mathematics toolkit. The library is distinguished by its diverse architectural frameworks, including a Prolog-style execution engine that uses unification and goal-driven backtracking, and a system for simulating human decision-making through expert system shells and certainty factors. It also

Lark 是一个 Python 解析工具包，用于定义语法并将原始文本转换为带注释的解析树。它作为一个抽象语法树生成器和语法定义语言，用于通过终结符和正则表达式指定语言规则。 该库提供两种主要的解析实现：一种是能够处理所有上下文无关语言（包括具有歧义和左递归的语言）的 Earley 解析库；另一种是专为具有低内存开销的确定性语言设计的高性能 LALR 解析库。 除了核心解析外，该工具包还包括模块化语法组合、基于规则的树转换以及源位置坐标跟踪功能。它还支持将 LALR 语法序列化为独立的解析器模块。

Pest 是一个 Rust 解析库和自动解析器生成器，可将形式语法定义转换为功能性解析器。它专注于解析表达式语法（PEG）以识别和结构化复杂的文本模式，提供了一个用于上下文无关语法解析的系统。 该库实现了零拷贝标记化和静态语法编译，以减少运行时开销。它支持 no-std 运行时兼容性，允许解析器在没有标准库的嵌入式或裸机环境中编译。 该项目涵盖了一系列解析功能，包括嵌套标记对的提取和自动语法验证。它用于实现领域特定语言（DSL）、自定义语言解析和数学表达式求值。它还提供自动错误报告以识别意外标记或缺失输入。

Nearley is a JavaScript parser toolkit used to define context-free grammars and generate corresponding parsers. It features an EBNF grammar compiler that transforms language definitions written in extended Backus-Naur Form into executable JavaScript code, utilizing an Earley parser implementation to process any context-free grammar. The toolkit distinguishes itself by its ability to handle left-recursion and ambiguity without failing, allowing it to identify and return multiple valid derivations for a single input string. It also includes a grammar fuzzing generator to produce random strings

Nearley is a JavaScript parser toolkit and context-free grammar compiler. It functions as an Earley parser generator that transforms BNF-like grammar definitions into executable code capable of analyzing text and generating abstract syntax trees. The project is distinguished by its ability to handle any context-free grammar, including those with left recursion and ambiguity, by maintaining multiple valid derivations for a single input. It further supports incremental parsing, allowing input strings to be processed in chunks to provide partial results and real-time feedback. Beyond core parsi

SBJson is an Objective-C JSON parser and generator designed for the parsing and generation of JSON data. It functions as a strict JSON validator, enforcing rigid grammar rules to ensure input data adheres to formal specifications. The project features an incremental JSON stream parser that processes UTF8 data in chunks to extract documents without loading the entire payload into memory. It also serves as a JSON data serializer that transforms native data objects into formatted strings using deterministic key sorting. The system manages data serialization workflows and implements security mea