mathdatech/awesome-python
1
0
Fork 0
mirror of https://github.com/vinta/awesome-python.git synced 2024-11-24 04:21:07 +00:00
Code Issues Packages Projects Releases Wiki Activity

Add Quix Streams (stream processing w Kafka)

Browse Source 
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.
This commit is contained in:
merlin-lacuna 2023-02-20 18:13:46 +13:00 committed by GitHub
parent 091e9e6c4e
commit 94e057903b
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
README.md
View File

@ -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