4 Repos
Selecting specific items from an event stream based on predicates, indices, or timing.
Distinct from Event-Based Stream Processing: Distinct from Event-Based Stream Processing as it focuses specifically on the filtering logic rather than the overall processing architecture.
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RxGo is a functional reactive programming library and an implementation of ReactiveX for the Go language. It serves as an asynchronous stream processing toolkit designed to coordinate event-based programs and data flows using the observable pattern. The library enables the construction of asynchronous processing pipelines that transform, filter, and combine event sequences. It distinguishes itself through the use of functional operators to compose these pipelines and provides mechanisms for managing concurrent execution. The toolkit covers a broad range of stream orchestration capabilities,
The library selects specific items from a stream based on predicates, time-based debouncing, or index positions.
RxPY ist eine Bibliothek für funktionale reaktive Programmierung und eine ReactiveX-Observable-Bibliothek für Python. Sie dient als asynchroner Stream-Prozessor und ereignisgesteuertes Koordinations-Framework zum Aufbau von Datenpipelines, die auf Zustandsänderungen oder Ereignisströme im Zeitverlauf reagieren. Die Bibliothek bietet ein Toolkit zur Komposition asynchroner und ereignisbasierter Programme mittels beobachtbarer Sequenzen und Operatoren. Sie zeichnet sich durch konfigurierbare Scheduler aus, die Nebenläufigkeit, Timing und Abonnement-Lebenszyklen verwalten. Das Projekt deckt ein breites Spektrum an Stream-Processing-Funktionen ab, einschließlich Datenaggregation, Filterung und Kombination. Es bietet Mechanismen für Event-Broadcasting, Sequenz-Buffering und Fehlerbehandlung sowie Werkzeuge zur Koordination beobachtbarer Streams mit asynchronen Event-Loops. Tests und Qualitätssicherung werden durch virtuelle Zeitsimulation, Marble-Diagramm-Modellierung und Emissionsverifizierung unterstützt.
Filters items from event streams based on predicates, indices, or timing criteria.
Effector is a reactive state management library designed for building complex, event-driven applications. It functions as a data flow engine that models application logic as a directed acyclic graph, ensuring that state updates propagate automatically through interconnected nodes. By utilizing atomic state updates and declarative unit composition, the library maintains data consistency and provides a predictable execution model for managing application state. The project distinguishes itself through its framework-agnostic architecture, which decouples business logic from user interface implem
Filters data streams by applying conditional logic to event triggers before they reach target effects.
Riemann is a Clojure-based event stream processor and real-time analytics engine. It functions as a network telemetry pipeline and extensible event router that ingests, transforms, and routes event data from distributed systems. The system uses a domain-specific language to compute metrics and statistical patterns over continuous streams, enabling network trend analysis and real-time alerting. It supports dynamic plugin loading from the classpath and allows for live configuration reloading without interrupting active event streams. Capabilities include centralized telemetry aggregation, even
Transforms event streams using complex operations including linear prediction, rate calculation, and event coalescing.