Stream Processing
Showing 36 of 268 projects
A Python ETL framework for stream processing, real-time analytics, and building live LLM/RAG pipelines, powered by a scalable Rust engine.
A JVM library for composing asynchronous and event-based programs using observable sequences.
A distributed event streaming platform for building high-performance data pipelines, streaming analytics, and data integration.
A high-performance, end-to-end observability data pipeline for collecting, transforming, and routing logs and metrics.
A high-performance, end-to-end observability data pipeline for collecting, transforming, and routing logs and metrics.
A platform for building highly responsive, resilient, and scalable distributed systems using the actor model.
AutoMQ is a cloud-native, diskless Kafka alternative that uses S3 for storage, offering 10x cost savings, autoscaling in seconds, and single-digit ms latency.
A Go library for building event-driven applications with message streams, supporting various pub/sub implementations.
Enterprise-grade event streaming platform that continuously ingests, processes, and serves real-time data with Apache Iceberg™ integration.
An enterprise-grade event streaming platform that ingests, processes, and manages real-time event data with PostgreSQL compatibility and Apache Iceberg™ integration.
A curated list of data engineering tools, frameworks, databases, and resources for software developers.
A curated list of data engineering tools, frameworks, databases, and resources for software developers.
A high-performance, resilient stream processor that connects various sources and sinks, performs data transformations, and guarantees at-least-once delivery.
A high-performance, declarative stream processor that connects various sources and sinks with built-in data transformation capabilities.
A library for event-driven programming in .NET using a composable, declarative model with LINQ over observable sequences.
A library for event-driven programming in .NET using a composable, declarative model for processing live data streams.
A Node.js wrapper for GraphicsMagick and ImageMagick providing programmatic image processing capabilities.
Python Stream Processing
A unified real-time data platform combining stream processing with a fast data store for instant action on data-in-motion.
A real-time data integration platform that creates and continually updates consistent views of transactional data using SQL.
An open data lakehouse platform for incremental data processing with upserts, deletes, and time-travel queries.
A functional JavaScript utility library with lazy evaluation for optimal performance and memory efficiency.
An event-native database platform engineered for modern software applications and event-driven architectures.
A high-performance multiple regex matching library using hybrid automata for simultaneous pattern matching across data streams.
An asynchronous Python framework for building services that interact with Apache Kafka, RabbitMQ, NATS, and Redis event streams.
A CLI tool and dataflow engine that lets you query and join data from multiple databases and file formats using SQL.
A distributed data streaming engine with stateful stream processing for building responsive data-intensive applications.
A lean distributed data streaming engine and stream processing framework written in Rust for building responsive data-intensive applications.
Confluent's high-performance Golang client for Apache Kafka, built on librdkafka with commercial support.
A glib-like cross-platform C library providing modules for streams, coroutines, containers, algorithms, and more to simplify C development.
A .NET port of the Akka actor model framework for building concurrent, distributed, and fault-tolerant systems in C# and F#.
A distributed stream processing engine in Rust that performs stateful computations on real-time data with subsecond results.
A standard specification for asynchronous stream processing with non-blocking backpressure on the JVM.
Detect binary file types from buffers, streams, or files by checking magic numbers.
A chunk-based JSON parser and generator for Objective-C, enabling stream processing of JSON data.
Apache Heron is a real-time, distributed, fault-tolerant stream processing engine developed by Twitter.
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