From 94e057903b72ac8eeb5593016f74f012729211eb Mon Sep 17 00:00:00 2001
From: merlin-lacuna <57262132+merlin-lacuna@users.noreply.github.com>
Date: Mon, 20 Feb 2023 18:13:46 +1300
Subject: [PATCH] Add Quix Streams (stream processing w Kafka)

This is a powerful commercial library which is now being open-sourced. Was developed at McLaren for processing huge sensor data streams transmitted from F1 racing cars, so useful for anyone working with sensor data or any other high-frequency time-series data,

- [https://pypi.org/project/quixstreams/](https://pypi.org/project/quixstreams/)
- [https://github.com/quixio/quix-streams](https://github.com/quixio/quix-streams)

Was originally started as a companion to the [Quix.io](http://quix.io/) platform, but can now be used as a standalone library with any Kafka installation.
---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index c01386f6..1aa10f78 100644
--- a/README.md
+++ b/README.md
@@ -520,6 +520,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
 * Stream Processing
     * [faust](https://github.com/robinhood/faust) - A stream processing library, porting the ideas from [Kafka Streams](https://kafka.apache.org/documentation/streams/) to Python.
     * [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data via [Apache Storm](http://storm.apache.org/).
+    * [Quix Streams](https://github.com/quixio/quix-streams) - A stream processing library originally designed for the McLaren Formula 1 racing team that can process high volumes of time-series data with up to nanosecond precision using Apache Kafka as a message broker.
 
 ## Distribution