Pyncej

Pyncej is a Python library designed for building and running event-driven streaming data pipelines. It provides lightweight abstractions to compose asynchronous processors into pipelines, enabling simple, composable data flows within Python applications. The project emphasizes a small core API, readability, and ease of testing, making it approachable for developers new to streaming architectures.

Core concepts include streams, processors, and connectors. Streams carry individual data items between stages; processors apply transformations, filters, or routing decisions; connectors integrate sources and sinks such as files, networks, or message queues. Pyncej relies on Python's asyncio for concurrent execution and implements backpressure to prevent unbounded buffering. It supports streaming JSON handling, basic state management, and pluggable scheduling strategies. The design aims to be dependency-light and suitable for embedding in other applications or lightweight data tools.

Origin and license: Pyncej is developed by an open-source community of contributors and is released under an open-source license. It is distributed on common Python package platforms and targets Python 3.8 and newer. The project maintains a modest but active release cadence, with documentation and examples detailing how to assemble pipelines from reusable components.

Usage and scope: Pyncej is primarily used for educational purposes and small-scale data processing tasks where a full streaming framework would be excessive. It is recognized for its clarity, straightforward API, and focus on testability, with ongoing contributions to operators, connectors, and observability features.