A high-performance observability data pipeline.
-
Updated
Aug 1, 2026 - Rust
A high-performance observability data pipeline.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams 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
All the things a panda needs
Harmonious distributed data analysis in Rust.
An Async SDR Runtime for Heterogeneous Architectures
Dynamic execution framework for your Redis data
head/tail for structured data - summarize/preview JSON/YAML and source code
graph based stream processing framework
Stream processing & Service framework.
Fluxus Stream Processing Engine
Real-time data processing/feature engineering tailored for modern AI/ML systems.
A streaming rpc system based on quic
A complete Sigma detection engineering toolkit: parser, linter, evaluator, correlation engine, conversion framework, streaming daemon, MCP and LSP servers 🦀
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."