Add Quix.io to "Stream Processing Tools" #138
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Quix is a powerful stream processing and model serving platform with an integrated Python IDE and client library. The platform was developed at McLaren for running physics models on huge sensor data streams from F1 racing cars but is also useful for anyone who wants to apply ML to sensor data or any other high-frequency time-series data. Useful Links: - [Run an ML model in a real-time environment — Quix Docs](https://docs.quix.io/platform/tutorials/train-and-deploy-ml/deploy-ml.html) - [A quick guide to real-time machine learning — Quix Blog](https://www.quix.io/blog/real-time-machine-learning-quick-guide/) - [The Quix Streams client library](https://github.com/quixio/quix-streams) ## What's the difference between this tool and similar ones? * Under the hood, it uses managed versions of Apache Kafka, Kubernetes, and Docker to abstract away much of the operational complexity involved in deploying ML models. * Natively supports Python which means ML engineers and data scientists can port code directly from Jupyter notebooks and local IDEs into the Quix development environment. * Python projects can be deployed as serverless functions with a couple of clicks using the Quix Platform UI. * Includes an open-source [Quix Streams](https://github.com/quixio/quix-streams) client library for processing streams of time-series data (can also stream data from a local CSV file).
vordimous
requested changes
Nov 21, 2023
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What is this tool for?
Quix is a powerful stream processing and model serving platform with an integrated Python IDE and client library. The platform was developed at McLaren for running physics models on huge sensor data streams from F1 racing cars but is also useful for anyone who wants to integrate sensor data or any other high-frequency time-series data into a data pipeline.
Useful Links:
What's the difference between this tool and similar ones?