Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Cross-platform, customizable ML solutions for live and streaming media.
A high-performance observability data pipeline.
QuestDB is a high performance, open-source, time-series database
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Fancy stream processing made operationally mundane
Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows
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.
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Upserts, Deletes And Incremental Processing on Big Data.
π Online machine learning in Python
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
π¦ event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Distributed stream processing engine in Rust
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
a curated list of awesome streaming frameworks, applications, etc
Kubernetes-native platform to run massively parallel data/streaming jobs
The Fastest Unified Streaming SQL Engine in a Single C++ Binary. β‘ Millisecond latency. 100+ GB/s throughput. Continuously compute real-time context from streams, logs, metrics, events, and CDC.
Python Stream Processing
A Python stream processing engine modeled after Yahoo! Pipes
Stream Processing and Complex Event Processing Engine
Python Streaming DataFrames for Kafka
Zero-cost & Type-safe Reactive Extensions for Rust. Supports both high-performance single-threaded (Local) and thread-safe (Shared) contexts. WASM & Tokio ready.
Framework for building Event-Driven Microservices
Build platforms that flexibly mix SQL, batch, and stream processing paradigms
Lightweight real-time big data streaming engine over Apache Pekko
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
Low-code tool for automating actions on real time data | Stream processing for the users.
Microservices library - scalecube-services is a high throughput, low latency reactive microservices library built to scale. It features: API-Gateways, service-discovery, service-load-balancing, the architecture supports plug-and-play service communication modules and features. built to provide performance and low-latency real-time stream-processing
Play any radios around the globe right from the terminal :zap:
All the things a panda needs
Platform for Situated Intelligence
ZenWeaver enables real-time, distributed audio processing via stream-processing architecture, auto-scaling, and a robust engine within a scalable platform.