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

Acest proiect este un sistem de gestionare a regulilor de afaceri și un motor de reguli conceput pentru a defini, executa și gestiona logica de afaceri complexă decuplată de codul sursă al aplicației. Acesta oferă un compilator de logică de afaceri care transformă definițiile regulilor lizibile pentru oameni în modele executabile pentru evaluare în runtime de înaltă performanță. Sistemul include un motor de procesare a evenimentelor complexe pentru analizarea fluxurilor de date în timp real în vederea identificării tiparelor temporale și un executor de modele și notații de decizie care procesează logica structurată pe baza standardelor din industrie pentru rezultate deterministe. Utilizează un motor de inferență care suportă forward și backward chaining pentru a automatiza deciziile prin evaluarea dependențelor logice complexe. Platforma acoperă o gamă largă de capabilități, inclusiv gestionarea sesiunilor de reguli, analiza dependențelor regulilor și vizualizarea logicii de execuție. De asemenea, dispune de instrumente pentru monitorizarea performanței regulilor, traducerea formatului regulilor și recuperarea stării sesiunii printr-un strat de persistență pluggable.

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