SPXTR

SPXTR is a software framework and toolkit designed for real-time signal processing, data acquisition, and visualization. It offers a modular architecture in which processing chains are built from interchangeable components such as input adapters, signal processors, and output sinks. The goal is to provide low-latency performance, portability across operating systems, and an extensible plug-in ecosystem.

Development and license: The project is maintained by an international, volunteer contributor community and is distributed under an open-source license. Source code and documentation are published in a public repository, and governance is conducted through community meetings and issue trackers.

Architecture: The core engine handles scheduling and data flow, while a plugin system enables third-party processors to be added without modifying core code. Language bindings are provided for C++, Python, and JavaScript, enabling use in desktop and web-enabled environments. The framework supports multi-threading and optional GPU acceleration for intensive workloads.

Features and usage: SPXTR supports real-time audio and non-audio signals, spectral analysis, filtering, resampling, and basic machine-learning inference hooks. It includes visualization components for live plots and spectrograms, and interfaces for standard data formats and communication protocols to integrate with external sensors and control systems.

Applications and reception: The framework is used in research, education, and hobbyist projects for prototyping signal-processing ideas, performing online analysis, and building interactive demonstrations. As an active project, releases and documentation continue to evolve.

See also: Real-time signal processing, open-source signal-processing frameworks, data visualization tools.