Projects sharing features with Grule Rule Engine

DBML is a domain-specific language and schema definition language used for documenting database architecture and design. It provides a human-readable text format for defining database tables, columns, and relationships in a standardized way. The project functions as a relational schema parser and SQL schema generator. It transforms declarative design specifications into an abstract syntax tree for programmatic manipulation and converts these definitions into executable SQL statements across various database dialects. The system covers relational data modeling, database schema design, and arc

ANTLR is a grammar-based code generator and multi-language parser generator used to design and implement custom languages. It functions as a toolkit for transforming formal language definitions into executable source code for processing structured text or binary files, while providing a framework for automatically constructing and traversing hierarchical parse trees. The project is distinguished by its ability to generate lexers and parsers in various target programming languages from a single shared grammar definition. It supports grammars containing direct left recursion and utilizes adapti

Ohm is a formal grammar parser generator and domain-specific language framework. It provides a system for defining custom languages to parse, validate, and extract data from input text, transforming raw strings into hierarchical abstract syntax trees based on specified formal rules. The project utilizes an Earley parsing algorithm, which allows it to support all context-free grammars, including those with left recursion and ambiguity, without requiring predefined operator precedence. It also includes a dedicated debugging toolkit for tracing and visualizing the step-by-step state transitions

Pest is a Rust parsing library and automatic parser generator that transforms formal grammar definitions into functional parsers. It specializes in Parsing Expression Grammar to recognize and structure complex text patterns, providing a system for context-free grammar parsing. The library implements zero-copy tokenization and static grammar compilation to reduce runtime overhead. It supports no-std runtime compatibility, allowing the parser to be compiled for embedded or bare-metal environments where a standard library is unavailable. The project covers a range of parsing capabilities, inclu

Streem is a stream-based programming language and data pipeline orchestrator. It provides a domain-specific language for defining concurrent data flows, allowing users to link data sources to destinations through a sequence of operations that transform and filter individual stream elements. The system uses a custom script syntax to define data-flow connections and pipeline definitions. This allows for the orchestration of concurrent data processing where multiple pipeline stages execute simultaneously to move data elements through the system. The platform covers functional data transformatio

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

Jison is a JavaScript parser generator that implements the LALR parsing algorithm. It creates tools to analyze custom programming languages by converting structured input into tokens and trees. The project functions as a Bison-compatible generator, accepting grammars in a format compatible with the Bison parser generator to produce JavaScript parsers. It covers the requirements for compiler frontend development, including the implementation of domain-specific languages and syntax analysis tooling. Its capabilities extend to custom language parsing and the generation of parsers via a command

Racket is a general-purpose, multi-paradigm programming language in the Lisp family designed for language creation. It functions as a language workbench, providing a platform for designing and implementing custom programming languages through a flexible system of macros and modules. The system distinguishes itself by offering a comprehensive suite for semantics engineering, allowing for the construction of specialized language subsets and educational layers. It includes tools for custom language design, such as lexer and parser generation, as well as the ability to define module expansion rul

Effector is a reactive state management library and data flow orchestrator designed for building complex, event-driven applications. It models application logic as a directed acyclic graph, where state updates and asynchronous side effects propagate automatically through declarative pipelines. By decoupling business logic from user interface layers, it allows developers to maintain state in independent containers that communicate via standard interfaces, ensuring the system remains framework-agnostic. The library distinguishes itself through its robust support for isolated execution scopes, w

Liteflow is a component-based rule engine and workflow orchestrator used to define business logic through a chain of reusable components. It utilizes a structured data language to map logic paths, functioning as a dynamic workflow engine for managing sequences of synchronous and asynchronous tasks. The project is distinguished by its support for hot deployment, allowing rule definitions and execution logic to be updated in real time without restarting the application. It also features a multi-language scripting engine that embeds external scripts into business rules to enable flexible logic c

pycparser is a C99 parser library that converts C source code into an abstract syntax tree consisting of Python objects. It functions as an abstract syntax tree generator, transforming preprocessed C code into a structured hierarchy for programmatic analysis and transformation. The library integrates with a C preprocessor to handle directives before parsing. It also features a stub header parser, which uses minimal mock headers to allow the parsing of C code without requiring a full system C library installation. The project provides tools for static code analysis, C program analysis, and so

Easy-rules is a Java business rules engine designed for defining and evaluating conditional logic and actions. It serves as a framework for organizing simple logic units into complex hierarchies of composite rules and acting as an iterative rule processor. The system functions as an expression language rules engine, allowing rule conditions and actions to be defined via dynamic expressions rather than static compiled code. This enables the configuration of business logic that can change application behavior without requiring source code recompilation. The engine supports fact-based matching

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

InfluxDB is a specialized time series database platform engineered for the high-speed ingestion, compression, and retrieval of timestamped data at scale. It functions as a distributed metrics platform, providing the infrastructure necessary to organize and analyze massive volumes of time-stamped information to identify trends, patterns, and anomalies within complex data streams. The platform distinguishes itself through a functional dataflow engine that utilizes a specialized programming language for complex analytical transformations and automated tasks. This architecture is supported by a p

Taichi is a domain-specific programming language embedded in Python designed for high-performance numerical computing and computer graphics. It functions as a parallel compiler that translates high-level mathematical expressions into optimized machine instructions, enabling developers to write compute-intensive algorithms that execute across diverse hardware architectures, including CPUs, GPUs, and specialized accelerators. The project distinguishes itself through a hardware-agnostic execution layer that maps parallel operations to multiple backends such as CUDA, Metal, and Vulkan. By utilizi

Groovy is a JVM programming language and metaprogramming framework that provides a Java compatible environment for building applications. It functions as a dynamic scripting language and a tool for authoring domain-specific languages, allowing for the execution of custom scripts and the creation of specialized mini-languages with concise syntax. The project is distinguished by its ability to modify program behavior and class definitions through both compile-time and runtime metaprogramming. It utilizes a hybrid typing model that combines dynamic method resolution with optional static type che

Lightning is a PyTorch training framework and distributed AI training orchestrator designed to decouple core research logic from the engineering boilerplate required for model training. It functions as a deep learning workflow manager that automates the process of pretraining and finetuning models across diverse compute environments. The project distinguishes itself by providing a hardware-agnostic training wrapper, allowing the same model code to execute on CPUs, GPUs, or TPUs without modification. It further manages the scaling of workloads from single devices to multi-node clusters and ser

Kaitai Struct is a framework for declarative binary specification that provides automated parser and serializer generation across multiple programming languages. It uses a portable, domain-specific language to describe the layout of binary files and network packets, converting these specifications into source code for reading and writing binary data. The system enables cross-language data processing by translating a single structural definition into native source code for languages including C++, C#, Go, Java, JavaScript, Python, and Rust. This approach allows the same binary data specificati

Mint is a front-end programming language and compiled web framework designed for building interactive user interfaces. It functions as a transpiler that converts a specialized domain-specific language into standard JavaScript and CSS for execution in a web browser. The toolchain enables type-safe UI development by utilizing static type analysis to validate data structures during the build phase. It organizes web interface logic into a component-based architecture, where encapsulated units synchronize internal state with the rendered view. The system covers a full compiled web toolchain, incl

Cake is a cross-platform build automation system and scripting framework that allows users to define software build pipelines using C# scripts. It functions as a CI/CD pipeline orchestrator and build runner, providing a strongly-typed domain-specific language to simplify the orchestration of compilation, testing, and packaging processes across Windows, Linux, and macOS. The system ensures reproducible build environments by pinning the versions of build tools, modules, and dependencies. It distinguishes itself by enabling a C# scripting workflow with full IDE support, including autocomplete, s

This project is a clean architecture reference implementation and modular project template for Android development. It provides a structural blueprint designed to isolate business logic from external frameworks and user interfaces. The template emphasizes a modular approach to organize code into independent modules, which is intended to improve build times and long-term project scalability. It demonstrates the application of domain-driven design to keep core business rules and entities independent from the underlying platform. The implementation covers several key architectural patterns, inc

This project is a comprehensive guide to architectural standards and coding patterns for developing maintainable applications within the Laravel framework. It focuses on clean code standards, applying the single responsibility and DRY principles to ensure codebase predictability and consistency. The guide emphasizes decoupling components by moving business logic into service layers and shifting input validation into dedicated request classes to keep controllers lean. It advocates for the use of a service container and dependency injection to reduce class coupling and improve testability. The

This is a reference implementation of Uncle Bob's clean architecture for Android, structured into distinct domain, data, and presentation layers. The project demonstrates how to organize an Android application around business use cases, keeping domain logic and entities free from framework dependencies. The architecture enforces dependency inversion through layered separation, where inner domain layers define interfaces that outer layers implement. This approach enables repository abstractions for data source switching, presenter-view separation for testable UI logic, and use-case composition

This is a Dart state management library and architectural framework that decouples business logic from the user interface by transforming a stream of events into a stream of states. It implements a business logic component pattern to ensure that state transitions are predictable and testable. The project distinguishes itself through advanced event stream processing, providing concurrency strategies to drop, restart, or queue incoming events. It includes a dedicated state persistence layer for saving and restoring application state to maintain session continuity, as well as tools for state his

This project is a technical resource and pattern library for building enterprise applications with Python. It serves as a guide for implementing clean architecture, providing a framework for separating core business logic from infrastructure and external frameworks. The material focuses on Domain-Driven Design and the application of architectural patterns to maintain complex business requirements. It provides specific guidance on the Repository pattern for data abstraction, Command-Query Responsibility Segregation for optimizing read and write paths, and the use of dependency inversion to dec

Accelerate is a framework for high-performance array computing that provides a domain-specific language for expressing complex mathematical and parallel computations. By utilizing a declarative programming interface, it allows users to define high-level array transformations that are automatically translated into optimized machine code for diverse hardware architectures. The system distinguishes itself through a modular architecture that decouples high-level array operations from hardware-specific instructions. It employs just-in-time compilation and kernel fusion to transform programs into e

Wuffs is a toolset for generating memory-safe, sandboxed parsers and decoders from domain-specific language specifications. It functions as a compiler that transforms these specifications into executable code for C, Go, or Rust, specifically designed to decode untrusted file formats while preventing buffer and integer overflows. The project employs a sandboxed execution model that prohibits system calls and manual memory management to ensure computations are side-effect free. It utilizes a refined type system and compile-time constraint verification to enforce memory safety, alongside saturat