Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Building event-driven applications the easy way in Go.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Fancy stream processing made operationally mundane
Python Stream Processing
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
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.
Distributed stream processing engine in Rust
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
Ruby and Rails efficient Kafka processing framework
A lightweight stream processing library for Go
Python Stream Processing. A Faust fork
Python Streaming DataFrames for Kafka
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
Low-code tool for automating actions on real time data | Stream processing for the users.
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
.NET Stream Processing Library for Apache Kafka 🚀
Streaming reactive and dataflow graphs in Python
A stream processing framework to build stateless applications on Kafka
The database purpose-built for stream processing applications.
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.