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.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Fancy stream processing made operationally mundane
Apache Beam is a unified programming model for Batch and Streaming data processing.
Apache Storm
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Ultra-high performance reactive programming
Kubernetes-native platform to run massively parallel data/streaming jobs
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
Compositional, streaming I/O library for Scala
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
Python Stream Processing. A Faust fork
Lightweight data stream processing engine for IoT edge
👜 Tiny and fast reactive/iterable programming library
Probabilistic data structures for processing continuous, unbounded streams.
Stream Processing and Complex Event Processing Engine
Python Streaming DataFrames for Kafka
Real-time stream processing for python
Trill is a single-node query processor for temporal or streaming data.
Esper Complex Event Processing, Streaming SQL and Event Series Analysis
Build platforms that flexibly mix SQL, batch, and stream processing paradigms