5 Repos
Utilities that transform discrete event triggers and callbacks into continuous reactive data streams.
Distinct from Effect-to-Stream Conversion: Distinct from Effect-to-Stream Conversion: specifically targets standard event triggers and callbacks rather than functional effect blueprints.
Explore 5 awesome GitHub repositories matching data & databases · Event-to-Stream Conversions. Refine with filters or upvote what's useful.
Fluent Bit ist ein Cloud-nativer Log-Shipper und einheitlicher Telemetrie-Collector, der als ressourceneffiziente Datenpipeline konzipiert ist. Er nimmt Logs, Metriken und Traces aus mehreren Quellen auf und verarbeitet sie in Echtzeit, bevor die Daten an externe Speicher-Backends weitergeleitet werden. Das Projekt fungiert als Echtzeit-Stream-Prozessor und OpenTelemetry-Log-Prozessor, der in der Lage ist, Daten mithilfe von SQL und bedingter Logik zu transformieren und zu filtern. Es fungiert zudem als verteilter Tracing-Agent, der Traces sampeln kann, um das Datenvolumen zu reduzieren und gleichzeitig vollständige Anforderungspfade zu bewahren. Das System bietet eine zuverlässige Datenübermittlung durch dateisystembasiertes Buffering und zustandsbehaftete Wiederholungslogik, um Datenverlust bei Ausfällen zu verhindern. Seine modulare Architektur unterstützt steckbare Eingabe- und Ausgabe-Plugins, metadatengesteuertes Routing und die Möglichkeit, Funktionen über gemeinsam genutzte Bibliotheken zu erweitern. Die Software kann als Container über verschiedene CPU-Architekturen und Betriebssysteme hinweg bereitgestellt werden.
Converts external text configurations into static array definitions during the build process.
Bacon.js is a JavaScript functional reactive programming library used for coordinating complex asynchronous data flows. It functions as an observable event stream framework and an asynchronous data flow orchestrator, allowing developers to model events as declarative streams and properties. The library distinguishes itself through its ability to manage reactive state and synchronize timing across multiple sources. It provides specialized mechanisms for atomic state synchronization to prevent glitches in derived properties and offers advanced coordination strategies such as asynchronous stream
Provides a comprehensive set of utilities to generate event streams from DOM events, promises, callbacks, and polling functions.
go-flutter is a runtime and embedding library that enables Flutter applications to run natively on Windows, macOS, and Linux using Go and GLFW. It implements the Flutter Embedding API to render Flutter UIs on desktop platforms, providing a cross-platform desktop runtime that bridges Go and Dart code through standard Flutter method and event channels. The project includes a plugin framework that supports bidirectional communication between Go and Dart, allowing Go code to invoke Dart handlers and expose Go methods for Dart to call, with optional synchronous replies. It also provides event stre
Stream data from Go to Dart whenever an event occurs, using an EventChannel.
KurrentDB is an event-native database designed for event sourcing and event-driven architectures. It stores events as immutable, ordered records in streams, preserving a complete audit trail and enabling temporal queries. The database uses gRPC for all client-server and inter-node communication, providing efficient binary serialization and bidirectional streaming, and supports atomic multi-stream writes that ensure consistency across multiple streams in a single transaction. The database distinguishes itself with a built-in JavaScript projection engine that transforms, filters, and aggregates
Transforms and writes events from source streams into new streams using user-defined JavaScript functions.
R3 is a reactive extensions library and asynchronous data pipeline framework. It provides a system for composing asynchronous data streams, managing reactive state, and coordinating event sequences using observable patterns. The project distinguishes itself with a deterministic testing toolkit that mocks time and frame updates to ensure reproducible unit tests for asynchronous logic. It also includes observability tools for tracking active subscriptions and generating stack traces to identify memory leaks, alongside centralized exception routing for pipeline recovery. The framework covers a
Transforms standard event triggers into reactive streams to compose them with other asynchronous data sequences.