Cross-platform, customizable ML solutions for live and streaming media.

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

A high-performance observability data pipeline.

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A curated list of awesome big data frameworks, ressources and other awesomeness.

Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

A curated list of awesome System Design (A.K.A. Distributed Systems) resources.

Building event-driven applications the easy way in Go.

Fancy stream processing made operationally mundane

Stream processing and management platform.

Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows

Python Stream Processing

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

Real-time Data Integration and Transformation: use SQL to transform, deliver, and act on fast-changing data.

Upserts, Deletes And Incremental Processing on Big Data.

🌊 Online machine learning in Python

🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.

Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

Distributed stream processing engine in Rust

FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.