A high-performance observability data pipeline.
-
Updated
Jan 6, 2026 - Rust
A high-performance observability data pipeline.
Event streaming platform for agents, apps, and analytics. Continuously ingest, transform, and serve event data in real time, at scale.
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.
Distributed stream processing engine in Rust
Kubernetes-native platform to run massively parallel data/streaming jobs
🦭 Distributed log streaming engine built from first principles
Zero-cost & Type-safe Reactive Extensions for Rust. Supports both high-performance single-threaded (Local) and thread-safe (Shared) contexts. WASM & Tokio ready.
An open-source computer vision framework to build and deploy apps in minutes
Harmonious distributed data analysis in Rust.
An Async SDR Runtime for Heterogeneous Architectures
Dynamic execution framework for your Redis data
All the things a panda needs
head/tail for structured data - summarize/preview JSON/YAML and source code
Fluxus Stream Processing Engine
Stream processing & Service framework.
A streaming rpc system based on quic
graph based stream processing framework
Real-time data processing/feature engineering in Rust and Python. Tailored for modern AI/ML systems.
🦀 Online statistics in Rust
Add a description, image, and links to the stream-processing topic page so that developers can more easily learn about it.
To associate your repository with the stream-processing topic, visit your repo's landing page and select "manage topics."