gorules/zen
Zen
ZEN Engine is a cross-platform, Open-Source Business Rules Engine (BRE). It is written in Rust and provides native bindings for NodeJS, Python and Go. ZEN Engine allows to load and execute JSON Decision Model (JDM) from JSON files.
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ZEN Engine is a cross-platform, Open-Source Business Rules Engine (BRE). It is written in Rust and provides native bindings for NodeJS, Python and Go. ZEN Engine allows to load and execute JSON Decision Model (JDM) from JSON files.
The main features of gorules/zen are: Business Rules Engine.
Projects with overlapping indexed features include: hyperjumptech/grule-rule-engine — Grule is a business rule engine for Go that decouples complex decision-making logic from core application code. It… j-easy/easy-rules — Easy-rules is a Java business rules engine designed for defining and evaluating conditional logic and actions. It… apache/incubator-kie-drools — This project is a business rules management system and rule engine designed to define, execute, and manage complex… ddossot/nxbre — NxBRE. openl-tablets/openl-tablets — Empower your business users to manage complex rules in Excel. Deploy them as enterprise-grade services. No coding…
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
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
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
