An open-source library for telemetry streaming started at Formula 1

In plain words

Quix Streams is an open-source Python and C# library that processes time-series telemetry data through message brokers like Apache Kafka. Built by engineers from the Formula 1 McLaren pit wall, it handles high-volume data streaming—originally designed to process over 60,000 data points per second. The library targets data scientists and ML engineers who need accessible tools for real-time data analysis, with built-in convenience functions for working with sensor data and physics models.

written from the facts on this page · September 2026

From the sources

Python Streaming DataFrames for Kafka. Contribute to quixio/quix-streams development by creating an account on GitHub.

In the maker’s words, at launch

Hello HN, we’re open sourcing a new library called Quix Streams (https://github.com/quixio/quix-streams)—a high-performance Python and C# library that processes time-series telemetry data with message broker such as Apache Kafka, instead of a database. We’re a team of engineers who all worked…

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