Quix Streams is an open source Python library for processing data in Apache Kafka. Designed around the principle of DataFrames (tabular representation of streaming data), it helps teams build real-time data pipelines for ML and analytics, by simplifying the transition from batch-based processing using libraries like Pandas to stream-based processing
Best in class Python developer experience with pure Python, no JVM, no wrappers around other languages, and no cross-language debugging. It allows developers to utilize the full Python ecosystem. It’s stateful, fault-tolerant and promotes best practices to quickly deploy and scale out for production.
To learn more you can
1. Follow/star the repo: github.com/quixio/quix-streams
2. Join the Slack community: quix.io/slack-invite
3. Visit: quix.io/