The Quix blog

Learn how to enrich real-time sensor data streams by looking up device coordinates in Redis and appending them to the data stream using Quix.

See Quix Streams in action by vizualizing mouse movement patterns in real-time using hopping windows. A Python data streaming tutorial for web analytics.

Learn how to set up a decoupled, event-driven pipeline to embed and ingest new content into a vector store as soon as it's published.

Learn how to get started quickly with Hello Quix base template and use it as a foundation for your projects.

Learn the basics for running your own AI-powered support bots and understand the challenges involved in using AI for customer support.

Learn how to get started quickly with Quix project templates and use them as a reference to build your own event-driven, stream-processing application.

Deploy a reference application that shows you how to do real-time predictive analytics on sensor data from a simulated fleet of 3D printers.

Learn how to analyze clickstream data in real time using Python. Trigger frontend events and show aggregations in a real-time dashboard—using Quix, Streamlit and Redis Cloud.

Learn how to fork our new computer vision template and deploy an application that uses London's traffic cameras to gauge current congestion by leveraging object detection to count vehicles.

A look at the most common causes of Kafka's "unknown topic or partition" error along with practical steps and solutions to help you fix it.

Learn how to reprocess a stream of data with the Quix Streams Python library and Apache Kafka. You'll ingest some GPS telemetry data into a topic and replay the stream to try out different distance calculation methods.

Learn why data compression is vital and how use it with Kafka and kafka-python, focussing on gzip—one of the strongest compression tools that Kafka supports.

Use the Quix Streams Python library to continuously stream email records from a CSV file, get an ML inference for each record, then stream the results back to a new Kafka topic.

Use Python to process time series data and send it to Apache Kafka. You'll use a large sample data set from an online-retailer and send the records in batches with Pandas and the kafka-python library.

How to build a powerful currency alerting pipeline in a few minutes with Quix and CoinAPI.

Create a CDC pipeline and publish data to Kafka topics in just a few minutes with our open source SQL Server connector.

Most data in streaming applications such as IoT, finance, user behavior analysis and automotive is time-series data. Learn how to capture, process and apply it to get the most value from it.

When, why, and how to contribute code samples to the Quix library.