This project is a business rules management system and rule engine designed to define, execute, and manage complex business logic decoupled from application source code. It provides a business logic compiler that transforms human-readable rule definitions into executable models for high-performance runtime evaluation. The system includes a complex event processing engine for analyzing real-time data streams to identify temporal patterns and a decision model and notation executor that processes structured logic based on industry standards for deterministic results. It utilizes an inference eng
RulesEngine is a business logic evaluator for .NET that executes complex rule workflows and dynamic expressions against input data. It functions as a dynamic expression evaluator and an externalized logic framework, allowing the definition and management of business rules in JSON format to change application behavior without recompiling code. The project decouples decision logic from source code by loading policies from external files or databases. It supports the registration of custom classes and methods to extend standard expression capabilities through type injection. The framework cover
Grule is a business rule engine for Go that decouples complex decision-making logic from core application code. It provides a framework for defining, versioning, and executing business rules through a domain-specific language, allowing logic to be managed independently of the underlying software implementation. The engine distinguishes itself by utilizing a formal grammar-based parser and a Rete-inspired pattern matching algorithm to evaluate logic against data facts efficiently. It supports dynamic system modeling by enabling runtime updates to policies and providing thread-safe knowledge ba
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 project is a rule-based decision system that decouples complex business logic from application code by representing rules as portable, structured data. It functions as a business logic engine that evaluates nested boolean conditions to determine application outcomes based on dynamic inputs.
The main features of cachecontrol/json-rules-engine are: Core Business Logic, Automated Decision Systems, General Purpose JSON Rule Engines, Logic Decoupling, Logical Condition Evaluators, External Rule Management, Complex Event Processing Engines, External Data Integrations.
Open-source alternatives to cachecontrol/json-rules-engine include: apache/incubator-kie-drools — This project is a business rules management system and rule engine designed to define, execute, and manage complex… microsoft/rulesengine — RulesEngine is a business logic evaluator for .NET that executes complex rule workflows and dynamic expressions… hyperjumptech/grule-rule-engine — Grule is a business rule engine for Go that decouples complex decision-making logic from core application code. It… alexeymezenin/laravel-best-practices — This project is a comprehensive guide to architectural standards and coding patterns for developing maintainable… microsoft/power-fx — Power-Fx is a declarative logic framework and low-code formula language based on Excel formulas. It functions as an… j-easy/easy-rules — Easy-rules is a Java business rules engine designed for defining and evaluating conditional logic and actions. It…