Zwint

Zwint is a modular software framework designed for building real-time data processing and analytics applications. It emphasizes extensibility, portability across platforms, and ease of deployment. The framework provides a core runtime, a plugin system, and a set of common interfaces intended to simplify the construction of end-to-end data pipelines and dashboards.

The architecture centers on an event-driven runtime with a central bus that routes messages between producers, processors, and consumers. Processing steps are implemented as pluggable modules, forming pipelines that can ingest data from various sources, transform it, join with auxiliary data, and emit results to storage, messaging systems, or visualization components. The design supports distributed deployment, fault tolerance, and scalable parallelism.

Key features include support for multiple transports (HTTP, WebSocket, message queues), backpressure-aware scheduling, sandboxed plugin execution, observable metrics and tracing, and a declarative configuration model. The system aims for language interoperability, offering bindings or adapters for popular languages such as Python and Rust. It provides tooling for testing pipelines, deploying lightweight services, and integrating with common data stores and visualization backends.

Zwint is used to build telemetry dashboards, experiment-tracking pipelines, and lightweight AI inference workflows. Its ecosystem includes example projects, documentation, and community plug-ins that extend data formats, visualization widgets, and integration with external storage and monitoring services. The project emphasizes open governance, clear licensing, and collaborative development practices to encourage contributions from researchers and industry practitioners alike.

Development began in the mid-2010s as an open-source project for developers seeking a flexible, modular platform for streaming data. It has seen several major releases and ongoing contributions from a diverse community of users and contributors.