quixio/quix-streams

Quix Streams is a Python library for building stateful stream processing applications. It provides a declarative API to define data pipelines that consume from and produce to Kafka, with support for complex operations like windowing, joins, and state management. The system integrates with various external data sources and sinks, enabling robust, scalable stream processing workflows.

This period focused on establishing the foundational architecture for stream processing, introducing the StreamingDataFrame API and a robust state management system with RocksDB and memory stores. The work also integrated Kafka connectivity, serialization frameworks, and Quix platform services, all supported by comprehensive test coverage.

20 changes

The project significantly expanded its data ingestion and egress capabilities by introducing comprehensive Sources and Sinks APIs, including community-maintained connectors for various cloud and database services. This period also introduced advanced windowing logic, centralized processing context, and robust state management abstractions to support these new integrations.

30 changes

This period focused on expanding the framework's capabilities for data enrichment and ingestion, introducing AsOf and Interval joins alongside lookup joins against SQLite, PostgreSQL, and external configuration services. Simultaneously, new community connectors were added for InfluxDB 3 and TDengine, while internal consumer buffering was implemented to ensure smooth data flow and prevent stalls after restarts.

10 changes

quixio/quix-streams was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point the surveyor at a repository you know and see whether you agree with it.