realoutput

RealOutput is a cross‑platform software framework designed to facilitate the generation and management of real‑time data streams for scientific and industrial applications. Developed by the OpenFlow Institute, the first stable release appeared in March 2019 and has since been adopted by researchers in fields ranging from environmental monitoring to high‑frequency trading.

The core functionality of RealOutput centers on three pillars: high‑throughput data ingestion, configurable output pipelines, and real‑time analytics. The ingestion engine supports multiple protocols—including MQTT, AMQP, and proprietary binary formats—allowing users to converge disparate sensor feeds into a unified output stream. Output pipelines can be constructed via a declarative JSON schema, which specifies destination endpoints such as InfluxDB, Kafka topics, or HTTP callbacks. The framework also offers built‑in transformation primitives such as moving averages, trend filtering, and unit conversion, making it possible to pre‑process data before downstream consumption.

Beyond data handling, RealOutput includes an optional analytics layer that exposes simple statistical summaries and anomaly detection alerts. These insights can be accessed through a RESTful API or embedded directly into dashboards, enabling developers to incorporate situational awareness into control loops.

RealOutput is distributed under the Apache 2.0 license and is maintained via a public GitHub repository. The community encourages contributions in the form of plugins, which can extend the engine to new protocols or output destinations. At present, the project has an active developer community, with regular releases and documentation available on the official website.