Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
47,133 repositories indexed
1–24 of 26 · Most stars
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
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.
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.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Distributed stream processing engine in Rust
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
Python Stream Processing. A Faust fork
Probabilistic data structures for processing continuous, unbounded streams.
Python Streaming DataFrames for Kafka
tools for working with streams of data
🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊
Build platforms that flexibly mix SQL, batch, and stream processing paradigms
Tenzir is the data pipeline engine for security teams.
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.
🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven 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
Series and Panels for Real-time and Exploratory Analysis of Data Streams