Awesome GitHub RepositoriesComplex Event Processing Engines

Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite batch workloads. It functions as a stateful stream processor and a SQL stream processing engine, providing a unified runtime to execute relational queries and event-based transformations. The system is distinguished by its ability to manage persistent operator state to ensure exactly-once processing guarantees and consistency during failures. It features specialized capabilities for complex event processing to detect temporal patterns and handles out-of-order events using eve

该项目是一个业务规则管理系统和规则引擎，旨在定义、执行和管理与应用程序源代码解耦的复杂业务逻辑。它提供了一个业务逻辑编译器，将人类可读的规则定义转换为可执行模型，以进行高性能的运行时评估。 该系统包含一个用于分析实时数据流以识别时间模式的复杂事件处理引擎，以及一个基于行业标准处理结构化逻辑以获得确定性结果的决策模型和符号执行器。它利用支持前向和后向链的推理引擎，通过评估复杂的逻辑依赖关系来自动化决策。 该平台涵盖了广泛的功能，包括规则会话管理、规则依赖分析和执行逻辑可视化。它还具有规则性能监控、规则格式转换以及通过可插拔持久化层进行会话状态恢复的工具。

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 engine distinguishes itself by supporting the asynchronous resolution of external data, allowing it to fetch and inject real-time facts into the evaluation process at runtime. It utilizes a recursive evaluation model to process hierarchical rule sets and triggers event-driven actions immediately u

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 business rules and complex event processing engine designed to manage logical decision-making and stateful workflows. It functions as a computational framework that evaluates incoming data streams and facts against conditional logic to derive new conclusions and trigger automated actions. The engine distinguishes itself through a combination of forward-chaining inference and deterministic state machine orchestration. It uses salience-based conflict resolution to prioritize rule execution and supports persistent contextual state tracking to manage long-running business proces