pywania

pywania is an open-source Python library that provides a framework for building reactive data processing pipelines and lightweight streaming applications. It aims to offer a minimal, Pythonic API that is easy to learn while remaining capable for production-scale workloads.

The library centers on composable components such as sources, transforms, and sinks. Users connect these components into pipelines that describe how data flows, enabling lazy evaluation and automatic backpressure. It supports both bounded and unbounded data streams.

pywania features a pluggable runtime architecture. Local execution runs in-process for development, while distributed backends can be added via plugins. A declarative schedule determines task order, with fault tolerance handled through checkpointing and stateful operators.

Core capabilities include a library of built-in operators (map, filter, windowed aggregations), state management, and windowing semantics. Observability is provided through metrics, structured logs, and optional tracing, facilitating debugging and performance tuning in complex pipelines.

The project emphasizes interoperability with the broader Python ecosystem. It offers adapters for data formats such as JSON and Parquet, and can ingest data from message queues or file systems. It is suitable for ETL, real-time analytics, and lightweight data integration tasks.

pywania is distributed under a permissive license and maintains a community-driven development model. Documentation and tutorials are available on the project site, with ongoing contributions from individual developers and organizations, as well as issue tracking and discussion forums.