Real-Time Crypto Forecasting Prediction Pipeline
-
Updated
Jun 14, 2025 - Python
Real-Time Crypto Forecasting Prediction Pipeline
An example of a Kappa architecture solution for transaction fraud detection using Apache Kafka and Python
Real time streaming lakehouse for crypto market microstructure: Redpanda, Quix Streams, dbt, Apache Iceberg, DuckDB and Streamlit. Runs locally with one command, no API keys, no cloud.
Apache Kafka Streamlit application for real-time tracking of pharmacy sales using the start schema data model.
Real-time support ticket pipeline using Redpanda, Quix-Streams, DuckDB, and an AI agent — ask questions about your streaming data in natural language.
Add a description, image, and links to the quix-streams topic page so that developers can more easily learn about it.
To associate your repository with the quix-streams topic, visit your repo's landing page and select "manage topics."