microsoft/RulesEngine

Features

• Runtime .NET - Provides a .NET business logic evaluator for executing complex rule workflows and dynamic expressions.
• Business Rule Evaluation - Computes results using predefined logic policies and input data to determine if specific conditions are met.
• External Rule Management - Stores business rules as structured data in external files or databases to update policies at runtime.
• Dynamic Logic Configuration - Updates application behavior and policy rules using JSON without needing to recompile or redeploy code.
• Automated Workflow Orchestration - Orchestrates sequences of conditional rules to trigger specific events or actions based on input data.
• Expression Evaluators - Provides an engine for processing mathematical and logical expressions against data at runtime.
• Dynamic Logic Evaluators - Provides a tool for parsing and computing standalone logical expressions and data queries within a .NET environment.
• General Purpose JSON Rule Engines - Provides a system for defining and storing logic policies in JSON format to change application behavior without recompiling.
• Dynamic Rule Engines - Functions as a dynamic rule engine that evaluates custom logic and validations at runtime without requiring recompilation.
• Externalized Logic Frameworks - Provides a framework for decoupling business rules from source code by loading policies from external files or databases.
• Externalized Logic Schemas - Enables loading rule definitions from external sources to update policies without requiring a full application redeploy.
• Externalized Policy Management - Decouples decision logic from source code by loading policies from external files or databases.
• Rule Chain Workflows - Implements sequential rule execution where results trigger subsequent logic steps.
• Workflow Orchestration - Executes a sequence of rules against input objects to determine which specific conditions are triggered.
• Conditional Logic Evaluation - Evaluates multi-step logical requirements and data dependencies to verify business criteria.
• Runtime Logic Parsing - Provides runtime parsing of string-based logic statements into executable operations against input data.
• Fact-Based Rule Triggering - Triggers success or failure events by matching rule conditions against runtime data facts.
• Rule-Driven Action Triggers - Automatically runs specific code or chains additional rules after a result is determined.
• Rule Engine Type Injections - Allows registering custom classes or types to make their properties and methods available within rule expressions.
• Evaluator Logic Extensions - Supports registering external classes and methods to perform complex evaluations that exceed standard expression capabilities.
• JSON Policy Definitions - Allows specifying business logic and policies using a JSON data format that supports custom expressions and query operations.
• Expression Parameter Aliasing - Simplifies complex data identifiers with named labels to enhance the maintainability of rule definitions.
• Expression Simplifications - Provides the ability to break down large logical statements into smaller, reusable intermediate expressions within rule definitions.
• Input Parameter Mapping - Allows assigning context-specific names to input data sources to replace generic identifiers with meaningful labels.
• Reflection-Based Property Accessors - Uses reflection-based property accessors to expose external class properties and methods to the engine.
• Rule Parameter Aliasing - Replaces complex expressions with global or local aliases to improve the maintainability of long rule definitions.

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