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.
The Reactive Extensions for .NET
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.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
A lightweight stream processing library for Go
Lightweight data stream processing engine for IoT edge
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
.NET Stream Processing Library for Apache Kafka 🚀
Lightweight stream processing engine for IoT
Small, Fast event processing and monitoring for Erlang/OTP applications.
Scramjet Platform is a distributed runtime supervisor that can run data processing programs called Sequences and manage local resources on any Linux server, Docker on small edge servers, and even large-scale Kubernetes clusters in the cloud or datacenters without exposing network ports to the public internet.
Lightweight SQL-based stream processing engine for IoT edge.
A framework for machine-learning bots
A general-purpose data analysis engine radically changing the way batch and stream data is processed