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 29 · Most stars
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Logstash - transport and process your logs, events, or other data
Incremental engine for long horizon agents 🌟 Star if you like it!
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.
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.
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
🦎 A lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.
Python Streaming DataFrames for Kafka
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
Messenger Clone - Real-time iOS Chat with Firebase Firestore written in Swift
Lightweight real-time big data streaming engine over Apache Pekko
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.
Microservices library - scalecube-services is a high throughput, low latency reactive microservices library built to scale. It features: API-Gateways, service-discovery, service-load-balancing, the architecture supports plug-and-play service communication modules and features. built to provide performance and low-latency real-time stream-processing
A C# implementation of WAMP (The Web Application Messaging Protocol)
Distributed C++ services from embedded to enterprise
The database purpose-built for stream processing applications.
Real-time P2P messenger using go-ipfs pubsub. TUI. End-to-end encrypted texting & file-sharing. NAT traversal.