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.
A realtime distributed messaging platform
Logstash - transport and process your logs, events, or other data
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Incremental engine for long horizon agents 🌟 Star if you like it!
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Scalable real-time messaging server in a language-agnostic way. Self-hosted alternative to Pubnub, Pusher, Ably, socket.io, Phoenix.PubSub, SignalR. Set up once and forever.
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Real-time monitor and web admin for Celery distributed task queue
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.
🪽 An open, easy, fast, reliable and battery-efficient solution for real-time communications
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
High performance, distributed and low latency publish-subscribe platform.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
High-performance time-series aggregation for PostgreSQL
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.
:elephant: Elasticsearch real-time search and analytics natively integrated with Hadoop
Python Streaming DataFrames for Kafka
A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
Real-time stream processing for python
Polo travels through your database and creates sample snapshots so you can work with real world data in development.