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 161 · Most stars
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Cross-platform, customizable ML solutions for live and streaming media.
A realtime distributed messaging platform
High-Performance server for NATS.io, the cloud and edge native messaging system.
GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more
IM Chat OpenClaw
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
Instant messaging platform. Backend in Go. Clients: Swift iOS, Java Android, JS webapp, scriptable command line; chatbots
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Sarama is a Go library for Apache Kafka.
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.
Building event-driven applications the easy way in Go.
Fancy stream processing made operationally mundane
Apache Beam is a unified programming model for Batch and Streaming data processing.
Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.
Golang client for NATS, the cloud native messaging system.
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
lakeFS - Data version control for your data lake | Git for data
🪽 An open, easy, fast, reliable and battery-efficient solution for real-time communications
a powerful mysql toolset with Go
Privacy and Security focused Segment-alternative, in Golang and React
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
High performance, distributed and low latency publish-subscribe platform.
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.