Add SwimOS

README.md

@@ -76,6 +76,7 @@ Mesos, designed for high performance data processing jobs that require flexibili
 - [Streamz](https://github.com/python-streamz/streamz) [Python] - A lightweight library for building pipelines to manage continuous streams of data; supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on.
 - [Stream Ops](https://github.com/nanosai/stream-ops-java) [Java] - A fully embeddable data streaming engine and stream processing API for Java.
 - [Substation](https://github.com/brexhq/substation) [Go] - Substation is a cloud native data pipeline and transformation toolkit written in Go.
+- [SwimOS](https://github.com/swimos/swim-rust) [Rust] - A framework for building real-time streaming data processing applications written in Rust.
 - [Tributary](https://github.com/timkpaine/tributary) [Python] - A python library for constructing dataflow graphs. Supports synchronous, reactive data streams built using python generators that mimic complex event processors, as well as lazily-evaluated acyclic graphs and functional currying streams.
 - [YoMo](https://github.com/yomorun/yomo) [Go] - An open source Streaming Serverless Framework for building Low-latency Geo-distributed system. YoMo Built atop [QUIC Transport Protocol](https://en.wikipedia.org/wiki/QUIC) and Functional Reactive Programming interface. 
 - [Mediapipe](https://github.com/google/mediapipe) - Cross-platform, customizable ML solutions for live and streaming media.