Projects Tagged stream-processing: Real-Time Event-Driven Pipelines and Scalable Data Streaming Solutions
Explore projects tagged "stream-processing" that implement real-time data streams, event-driven architectures, stateful stream processing, and low-latency analytics using technologies like Apache Kafka, Apache Flink, Apache Pulsar, Spark Streaming, Kafka Streams, and Apache Beam. Discover open-source and enterprise-grade stream-processing projects for real-time analytics, scalable event pipelines, exactly-once semantics, windowing strategies, and high-throughput ingestion; filter by framework, language (Java, Scala, Python, Go), deployment (Kubernetes, serverless), latency and throughput requirements, license, and maturity to surface reference implementations, benchmarks, architecture diagrams, and contributor activity. Use the filtering UI to compare projects, evaluate production-readiness, and export or star projects to accelerate adoption — explore the list now to find the right stream-processing project for your real-time data platform.
