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Add Quix Streams (stream processing w Kafka)

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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.
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@ -520,6 +520,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* Stream Processing * 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. * [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/). * [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 ## Distribution